| 1 | #include "traffic_agent.h" |
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| 2 | #include <list> |
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| 3 | #include <fstream> |
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| 4 | |
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| 5 | class GreenWaveTrafficAgent : public BaseTrafficAgent { |
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| 6 | LOG_LEVEL(GreenWaveTrafficAgent,logoffset); |
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| 7 | protected: |
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| 8 | double rating_change; |
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| 9 | int negot_start; |
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| 10 | int negot_offset; |
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| 11 | int negot_limit; |
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| 12 | |
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| 13 | int actual_time; |
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| 14 | |
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| 15 | RV rv_outputs; |
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| 16 | vec outputs; |
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| 17 | |
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| 18 | RV rv_change_request; |
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| 19 | vec change_request; |
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| 20 | |
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| 21 | RV rv_recieved_exps; |
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| 22 | vec recieved_exps; |
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| 23 | |
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| 24 | RV rv_next_exps; |
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| 25 | vec next_exps; |
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| 26 | |
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| 27 | //! expectations recieved from neighbours |
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| 28 | RV rv_recieved_changes; |
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| 29 | vec recieved_changes; |
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| 30 | |
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| 31 | //! list of agents, who request expected cars |
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| 32 | list<string> requesters; |
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| 33 | |
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| 34 | //! offset set in last simulation step |
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| 35 | int last_offset; |
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| 36 | //! actual planned offset to set for next simulation step |
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| 37 | int planned_offset; |
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| 38 | //! rating of actual planned offset |
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| 39 | double planned_rating; |
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| 40 | //! avarage speed of cars |
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| 41 | int VP; |
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| 42 | |
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| 43 | double car_leaving_time; //s; how long is 1 car leaving queue |
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| 44 | |
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| 45 | // some state variables |
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| 46 | bool need_exps; |
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| 47 | bool new_stable_state; |
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| 48 | bool send_requests; |
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| 49 | bool final_state; |
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| 50 | |
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| 51 | //! determines wheteher agent actively communicates |
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| 52 | int passive; |
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| 53 | |
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| 54 | //! sum of final planned_offset values since last reach of cycle_count |
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| 55 | int total_offset; |
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| 56 | //! number of finished cycles since last reach of cycle_count |
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| 57 | int negot_cycle; |
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| 58 | //! after cycle_count cycles, we count avarege planned_offseta send it to Aimsun |
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| 59 | int cycle_count; |
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| 60 | //! Finding of best own offsset starts on this offset change |
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| 61 | int find_best_start; |
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| 62 | //! minimal value of offsset change tested during looking for best offset |
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| 63 | int find_best_limit; |
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| 64 | |
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| 65 | //! counts all expected cars going from each lane, saves to outputs and rv_outputs |
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| 66 | void expected_cars() { |
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| 67 | double start_time; |
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| 68 | ivec ind; |
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| 69 | RV rv_exp; |
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| 70 | datalink exp2outputs; |
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| 71 | vec exp; |
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| 72 | string group_name; |
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| 73 | double green_time; |
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| 74 | int index; |
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| 75 | |
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| 76 | for (int i=0;i<lanes.length();i++) { |
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| 77 | for (int j=0;j<lanes(i).outputs.length();j++) { |
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| 78 | if (lanes(i).outputs(j)!="DUMMY_DET") { |
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| 79 | group_name = name+"_"+lanes(i).sg; //e.g. 495_VA |
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| 80 | |
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| 81 | index=group_index(group_name); |
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| 82 | green_time=green_times(index)*cycle_length; |
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| 83 | |
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| 84 | rv_exp=RV(lanes(i).outputs(j)+"-"+name+"_"+to_string(i),3); |
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| 85 | exp.set_size(rv_exp._dsize()); |
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| 86 | exp2outputs.set_connection(rv_exp,rv_outputs); |
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| 87 | |
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| 88 | //cars density |
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| 89 | exp(0)=lanehs(i)->expected_output(green_time)*lanes(i).alpha(j) / green_time; |
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| 90 | |
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| 91 | start_time = green_starts(group_index(name+"_"+lanes(i).sg)) + (3.6*lanes(i).output_distances(j))/(VP) + planned_offset; |
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| 92 | //first car arrive time |
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| 93 | exp(1)=start_time; |
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| 94 | //last car arrive time |
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| 95 | exp(2)=start_time + green_time; |
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| 96 | |
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| 97 | exp2outputs.pushup(outputs,exp); |
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| 98 | } |
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| 99 | } |
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| 100 | } |
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| 101 | }; |
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| 102 | |
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| 103 | /*! creates periodic expansion of gb (green begin], ge (green end), using |
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| 104 | expectations cb (cars begin), ce (cars end). Result is stored in gbv |
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| 105 | (green begin vector) and gev (green end vector) */ |
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| 106 | void expand_greens(const double gb, const double ge, const vec cb, const vec ce, vec &gbv, vec &gev) { |
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| 107 | gbv.set_size(1); |
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| 108 | gev.set_size(1); |
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| 109 | gbv(0)=gb; |
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| 110 | gev(0)=ge; |
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| 111 | if (ge>cycle_length) { |
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| 112 | gbv.ins(gbv.length(),0); |
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| 113 | gev.ins(gev.length(),ge-cycle_length); |
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| 114 | } |
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| 115 | int i=1; |
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| 116 | while (gev(gev.length()-1)<ce(max_i(ce))) { |
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| 117 | gbv.ins(gbv.length(),gb+i*cycle_length); |
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| 118 | gev.ins(gev.length(),ge+i*cycle_length); |
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| 119 | i++; |
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| 120 | } |
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| 121 | }; |
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| 122 | |
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| 123 | //! returns true if what is in interval <left;right> |
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| 124 | bool in_interval(double what, const double left, const double right) { |
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| 125 | return ((what>=left && what<=right) ? true : false); |
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| 126 | } |
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| 127 | |
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| 128 | //! counts planned rating using offset and recieved_exps |
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| 129 | double count_rating(const int offset, const vec recieved_exps, const RV rv_recieved_exps) { |
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| 130 | double virtual_queue; |
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| 131 | double t_green_begin; |
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| 132 | double t_green_end; |
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| 133 | vec cars_density; |
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| 134 | vec t_cars_begin; |
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| 135 | vec t_cars_end; |
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| 136 | bool found; |
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| 137 | ivec ind; |
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| 138 | string group_name; |
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| 139 | |
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| 140 | double rating=0.0; |
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| 141 | |
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| 142 | for (int i=0;i<lanes.length();i++) { |
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| 143 | |
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| 144 | //Finding, if we have some expectations |
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| 145 | found=false; |
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| 146 | for (int k=0;k<lanes(i).inputs.length();k++) { |
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| 147 | int l=0; |
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| 148 | for (int j=0;j<rv_recieved_exps.length();j++) { |
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| 149 | int result=rv_recieved_exps.name(j).find(lanes(i).inputs(k)+"-"); |
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| 150 | if (result>=0) { |
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| 151 | t_cars_begin.set_size(l+1,true); |
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| 152 | t_cars_end.set_size(l+1,true); |
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| 153 | cars_density.set_size(l+1,true); |
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| 154 | |
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| 155 | ind = RV(rv_recieved_exps.name(j),3).dataind(rv_recieved_exps); |
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| 156 | |
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| 157 | cars_density(l)=recieved_exps(ind(0)); |
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| 158 | t_cars_begin(l)=recieved_exps(ind(1)); |
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| 159 | t_cars_end(l)=recieved_exps(ind(2)); |
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| 160 | l++; |
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| 161 | |
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| 162 | found=true; |
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| 163 | } |
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| 164 | } |
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| 165 | } |
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| 166 | if (found) { |
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| 167 | //counting rating |
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| 168 | group_name = name+"_"+lanes(i).sg; //e.g. 495_VA |
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| 169 | int index=group_index(group_name); |
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| 170 | |
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| 171 | t_green_begin=green_starts(index) + offset; |
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| 172 | t_green_end=t_green_begin + green_times(index)*cycle_length; |
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| 173 | |
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| 174 | vec t_gb_vec; |
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| 175 | vec t_ge_vec; |
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| 176 | |
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| 177 | expand_greens(t_green_begin, t_green_end, t_cars_begin, t_cars_end, t_gb_vec, t_ge_vec); |
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| 178 | |
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| 179 | //! index for t_cars_begin |
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| 180 | int k=min_i(t_cars_begin); |
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| 181 | //! index for t_ggb_vec |
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| 182 | int l; |
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| 183 | //! indicator of actual position in whole interval |
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| 184 | double t_act=0; |
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| 185 | //! end of counting for actual line |
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| 186 | double t_limit=t_ge_vec(max_i(t_ge_vec)); |
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| 187 | //! end of closest future interval |
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| 188 | double t_end; |
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| 189 | |
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| 190 | virtual_queue=lanehs(i)->queue; |
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| 191 | |
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| 192 | //cycle goes through all "stopping" points and counts queue lenght at these points |
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| 193 | do { |
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| 194 | k=min_i(t_cars_begin); |
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| 195 | l=min_i(t_gb_vec); |
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| 196 | if (k!=-1) { |
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| 197 | //cars are entering queue |
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| 198 | if (in_interval(t_act,t_cars_begin(k), t_cars_end(k))) { |
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| 199 | //cars leaving and entering queue |
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| 200 | if (in_interval(t_act,t_gb_vec(l), t_ge_vec(l))) { |
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| 201 | t_end = min(t_cars_end(k),t_ge_vec(l)); |
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| 202 | virtual_queue+=(t_end - t_act)*(cars_density(k)-(1/car_leaving_time)); |
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| 203 | t_cars_begin(k)=t_end; |
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| 204 | t_gb_vec(l)=t_end; |
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| 205 | } |
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| 206 | //cars only entering queue |
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| 207 | else { |
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| 208 | t_end=min(t_cars_end(k),t_ge_vec(l)); |
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| 209 | virtual_queue+=(t_end-t_act)*cars_density(k); |
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| 210 | t_cars_begin(k)=t_end; |
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| 211 | } |
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| 212 | } |
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| 213 | //cars are not entering queue |
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| 214 | else { |
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| 215 | //cars are only leaving queue |
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| 216 | if (in_interval(t_act,t_gb_vec(l), t_ge_vec(l))) { |
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| 217 | t_end = min(t_ge_vec(l),t_cars_begin(k)); |
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| 218 | virtual_queue-=(t_end-t_act)/car_leaving_time; |
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| 219 | t_gb_vec(l)=t_end; |
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| 220 | |
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| 221 | //in case we emptied whole queue |
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| 222 | virtual_queue=max(virtual_queue,0.0); |
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| 223 | } |
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| 224 | //no cars entering, no cars leaving |
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| 225 | else { |
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| 226 | t_end=min(t_gb_vec(l),t_cars_begin(k)); |
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| 227 | } |
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| 228 | } |
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| 229 | t_act=t_end; |
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| 230 | |
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| 231 | //raising rating |
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| 232 | if (virtual_queue<0) { |
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| 233 | rating-=virtual_queue; |
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| 234 | virtual_queue=0; |
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| 235 | } |
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| 236 | |
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| 237 | //deleting used intervals |
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| 238 | if (t_cars_begin(k)==t_cars_end(k)) { |
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| 239 | t_cars_begin.del(k); |
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| 240 | t_cars_end.del(k); |
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| 241 | cars_density.del(k); |
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| 242 | } |
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| 243 | if (t_gb_vec(l)==t_ge_vec(l)) { |
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| 244 | t_gb_vec.del(l); |
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| 245 | t_ge_vec.del(l); |
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| 246 | } |
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| 247 | } |
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| 248 | //if no other expectations found |
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| 249 | else { |
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| 250 | virtual_queue-=( t_ge_vec(l)-t_act)/car_leaving_time; |
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| 251 | t_act=t_ge_vec(l); |
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| 252 | t_gb_vec.del(l); |
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| 253 | t_ge_vec.del(l); |
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| 254 | } |
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| 255 | } while (t_act<t_limit); |
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| 256 | } |
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| 257 | } |
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| 258 | return rating; |
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| 259 | } |
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| 260 | |
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| 261 | //! finds best offset using recieved_exps. Returns found offset |
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| 262 | int find_best_offset(const int center, int interval) { |
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| 263 | //! rating if offset is rised |
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| 264 | double rating_p; |
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| 265 | //! rating if offset is unchaged (=center) |
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| 266 | double rating_c; |
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| 267 | //! rating if offset is lowered |
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| 268 | double rating_n; |
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| 269 | //! center point for next cycle |
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| 270 | int new_center; |
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| 271 | |
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| 272 | rating_p=count_rating(center+interval, recieved_exps, rv_recieved_exps); |
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| 273 | rating_c=count_rating(center, recieved_exps, rv_recieved_exps); |
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| 274 | rating_n=count_rating(center-interval, recieved_exps, rv_recieved_exps); |
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| 275 | |
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| 276 | new_center=center; |
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| 277 | int max_index=max_i_of_three(rating_p,rating_c,rating_n); |
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| 278 | switch (max_index) { |
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| 279 | case 0: |
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| 280 | new_center+=interval; |
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| 281 | break; |
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| 282 | case 1: |
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| 283 | break; |
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| 284 | case 2: |
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| 285 | new_center-=interval; |
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| 286 | break; |
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| 287 | } |
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| 288 | |
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| 289 | if (interval>find_best_limit) { |
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| 290 | interval/=2; |
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| 291 | new_center=find_best_offset(new_center,interval); |
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| 292 | } |
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| 293 | |
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| 294 | return new_center; |
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| 295 | } |
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| 296 | |
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| 297 | //! finds if changing neighbour's offset could have positive effect, returns found offset change and stores chage of rating to rating_change |
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| 298 | int find_best_exps(const int offset_change, const string neighbour, double &rating_change) { |
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| 299 | //! expactations after positve change of neighbour's offset |
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| 300 | vec positive_exps; |
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| 301 | //! expactations after negative change of neighbour's offset |
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| 302 | vec negative_exps; |
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| 303 | //! rating if offset is raised |
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| 304 | double rating_p; |
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| 305 | //! rating if offset is unchaged |
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| 306 | double rating_c; |
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| 307 | //! rating if offset is lowered |
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| 308 | double rating_n; |
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| 309 | |
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| 310 | positive_exps=recieved_exps; |
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| 311 | negative_exps=recieved_exps; |
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| 312 | |
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| 313 | for (int j=0;j<rv_recieved_exps.length();j++) { |
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| 314 | int res = rv_recieved_exps.name(j).find("-"+neighbour); |
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| 315 | if (res>0) { |
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| 316 | ivec ind = RV(rv_recieved_exps.name(j),3).dataind(rv_recieved_exps); |
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| 317 | |
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| 318 | positive_exps(ind(1))+=offset_change; |
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| 319 | positive_exps(ind(2))+=offset_change; |
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| 320 | |
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| 321 | negative_exps(ind(1))-=offset_change; |
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| 322 | negative_exps(ind(2))-=offset_change; |
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| 323 | } |
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| 324 | } |
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| 325 | |
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| 326 | rating_c=count_rating(planned_offset, recieved_exps, rv_recieved_exps); |
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| 327 | rating_p=count_rating(planned_offset, positive_exps, rv_recieved_exps); |
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| 328 | rating_n=count_rating(planned_offset, negative_exps, rv_recieved_exps); |
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| 329 | |
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| 330 | int max_index=max_i_of_three(rating_p,rating_c,rating_n); |
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| 331 | switch (max_index) { |
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| 332 | case 0: |
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| 333 | rating_change=rating_p-rating_c; |
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| 334 | return offset_change; |
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| 335 | break; |
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| 336 | case 1: |
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| 337 | rating_change=0; |
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| 338 | return 0; |
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| 339 | break; |
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| 340 | case 2: |
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| 341 | rating_change=rating_n-rating_c; |
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| 342 | return -offset_change; |
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| 343 | break; |
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| 344 | } |
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| 345 | rating_change=NULL; |
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| 346 | return NULL; |
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| 347 | } |
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| 348 | |
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| 349 | //! returns index of signal group "group" |
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| 350 | int group_index(const string group) { |
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| 351 | for (int i=0;i<green_names.length();i++) { |
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| 352 | if (green_names(i)==group) { |
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| 353 | return i; |
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| 354 | } |
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| 355 | } |
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| 356 | return -1; |
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| 357 | } |
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| 358 | |
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| 359 | /*! |
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| 360 | returns offset value shifted to fit interval <-cycle_length/2;cycle_length/2> |
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| 361 | or (when second parameter is false)) <0;cycle_length> |
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| 362 | */ |
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| 363 | int normalize_offset(int offset, bool zero=true) { |
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| 364 | if (zero) { |
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| 365 | while ((offset<(-cycle_length/2)) || (offset>(cycle_length/2))) { |
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| 366 | if (offset<0) { |
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| 367 | offset+=cycle_length; |
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| 368 | } |
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| 369 | else { |
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| 370 | offset-=cycle_length; |
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| 371 | } |
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| 372 | } |
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| 373 | return offset; |
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| 374 | } |
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| 375 | else { |
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| 376 | while (offset<0 || offset>cycle_length) { |
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| 377 | if (offset<0) { |
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| 378 | offset+=cycle_length; |
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| 379 | } |
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| 380 | else { |
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| 381 | offset-=cycle_length; |
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| 382 | } |
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| 383 | } |
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| 384 | return offset; |
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| 385 | } |
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| 386 | } |
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| 387 | |
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| 388 | //! converts t to string |
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| 389 | template <class T> inline string to_string (const T& t) |
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| 390 | { |
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| 391 | std::stringstream ss; |
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| 392 | ss << t; |
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| 393 | return ss.str(); |
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| 394 | } |
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| 395 | |
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| 396 | //! returns index of maximum of entered values |
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| 397 | int max_i_of_three(const double a, const double b, const double c) { |
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| 398 | int index = a > b ? 0 : 1; |
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| 399 | |
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| 400 | if (index == 0) { |
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| 401 | index = a > c ? 0 : 2; |
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| 402 | } |
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| 403 | else { |
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| 404 | index = b > c ? 1 : 2; |
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| 405 | } |
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| 406 | return index; |
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| 407 | } |
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| 408 | |
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| 409 | //! returns index of smallest element in vector |
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| 410 | int min_i(vec vector) { |
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| 411 | if (vector.length()>0) { |
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| 412 | double min=vector(0); |
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| 413 | int index=0; |
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| 414 | for (int i=1;i<vector.length();i++) { |
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| 415 | if (vector(i)<min) { |
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| 416 | min=vector(i); |
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| 417 | index=i; |
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| 418 | } |
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| 419 | } |
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| 420 | return index; |
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| 421 | } |
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| 422 | return -1; |
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| 423 | } |
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| 424 | |
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| 425 | //! returns index of largest element in vector |
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| 426 | int max_i(vec vector) { |
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| 427 | if (vector.length()>0) { |
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| 428 | double max=vector(0); |
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| 429 | int index=0; |
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| 430 | for (int i=1;i<vector.length();i++) { |
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| 431 | if (vector(i)>max) { |
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| 432 | max=vector(i); |
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| 433 | index=i; |
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| 434 | } |
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| 435 | } |
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| 436 | return index; |
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| 437 | } |
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| 438 | return -1; |
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| 439 | } |
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| 440 | |
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| 441 | |
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| 442 | public: |
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| 443 | void validate() { |
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| 444 | rv_action = RV(name+"_offset", 1); |
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| 445 | |
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| 446 | for (int i=0; i<green_names.length();i++) { |
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| 447 | rv_inputs.add(RV(green_names(i),1)); |
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| 448 | } |
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| 449 | inputs.set_size(rv_inputs._dsize()); |
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| 450 | |
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| 451 | BaseTrafficAgent::validate(); |
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| 452 | |
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| 453 | for (int i=0;i<lanehs.length();i++) { |
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| 454 | ivec index = RV(lanes(i).queue,1).dataind(rv_queues); |
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| 455 | lanehs(i)->queue_index=index(0); |
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| 456 | } |
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| 457 | } |
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| 458 | |
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| 459 | void adapt(const vec &glob_dt) { |
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| 460 | BaseTrafficAgent::adapt(glob_dt); |
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| 461 | |
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| 462 | for (int i=0;i<lanehs.length();i++) { |
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| 463 | lanehs(i)->queue=queues(lanehs(i)->queue_index); |
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| 464 | } |
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| 465 | |
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| 466 | planned_offset=last_offset; |
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| 467 | planned_rating=0; |
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| 468 | |
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| 469 | //set state variables to default values |
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| 470 | final_state=false; |
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| 471 | new_stable_state=false; |
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| 472 | send_requests=false; |
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| 473 | need_exps=true; |
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| 474 | negot_offset=negot_start; |
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| 475 | |
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| 476 | if (actual_time/cycle_length<2) { |
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| 477 | need_exps=false; |
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| 478 | final_state=true; |
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| 479 | } |
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| 480 | } |
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| 481 | |
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| 482 | void broadcast(Setting& set){ |
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| 483 | |
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| 484 | //ask neighbours for expetcted arrive times |
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| 485 | if (need_exps) { |
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| 486 | for (int i=0; i<neighbours.length(); i++){ |
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| 487 | Setting &msg =set.add(Setting::TypeGroup); |
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| 488 | UI::save ( neighbours(i), msg, "to"); |
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| 489 | UI::save (name,msg,"from"); |
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| 490 | UI::save ( (string)"expected_times_request", msg, "what"); |
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| 491 | } |
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| 492 | need_exps=false; |
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| 493 | } |
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| 494 | |
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| 495 | // broadcast expected cars |
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| 496 | if (!requesters.empty()) { |
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| 497 | expected_cars(); |
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| 498 | do { |
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| 499 | Setting &msg =set.add(Setting::TypeGroup); |
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| 500 | UI::save ( requesters.back(), msg, "to"); |
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| 501 | UI::save ( name, msg, "from"); |
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| 502 | UI::save ( (string)"new_expected_cars", msg, "what"); |
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| 503 | UI::save ( &(rv_outputs), msg, "rv"); |
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| 504 | UI::save ( outputs, msg, "value"); |
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| 505 | requesters.pop_back(); |
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| 506 | } while (!requesters.empty()); |
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| 507 | } |
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| 508 | |
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| 509 | // broadcast new stable state (new stable expectations) |
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| 510 | if (new_stable_state) { |
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| 511 | expected_cars(); |
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| 512 | for (int i=0;i<neighbours.length();i++) { |
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| 513 | Setting &msg = set.add(Setting::TypeGroup); |
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| 514 | UI::save ( neighbours(i), msg, "to"); |
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| 515 | UI::save ( name, msg, "from"); |
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| 516 | UI::save ( (string)"stable_state", msg, "what"); |
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| 517 | UI::save ( &(rv_outputs), msg, "rv"); |
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| 518 | UI::save ( outputs, msg, "value"); |
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| 519 | } |
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| 520 | new_stable_state=false; |
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| 521 | } |
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| 522 | |
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| 523 | // broadcast requests to change offset(s) |
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| 524 | if (send_requests) { |
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| 525 | for (int i=0;i<neighbours.length();i++) { |
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| 526 | Setting &msg = set.add(Setting::TypeGroup); |
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| 527 | UI::save ( neighbours(i), msg, "to"); |
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| 528 | UI::save ( name, msg, "from"); |
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| 529 | UI::save ( (string)"offset_change_request", msg, "what"); |
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| 530 | UI::save ( &(rv_change_request), msg, "rv"); |
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| 531 | UI::save ( change_request, msg, "value"); |
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| 532 | } |
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| 533 | send_requests=false; |
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| 534 | } |
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| 535 | |
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| 536 | // reached final offset |
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| 537 | if (final_state) { |
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| 538 | final_state=false; |
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| 539 | } |
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| 540 | } |
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| 541 | |
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| 542 | void receive(const Setting &msg){ |
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| 543 | string what; |
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| 544 | string to; |
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| 545 | string from; |
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| 546 | vec value; |
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| 547 | RV *rv; |
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| 548 | |
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| 549 | UI::get(what, msg, "what", UI::compulsory); |
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| 550 | UI::get(to, msg, "to", UI::compulsory); |
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| 551 | UI::get(from, msg, "from"); |
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| 552 | UI::get(rv, msg, "rv"); |
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| 553 | UI::get(value, msg, "value"); |
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| 554 | |
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| 555 | if (what=="expected_times_request"){ |
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| 556 | requesters.push_back(from); |
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| 557 | } |
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| 558 | else if (what=="new_expected_cars") { |
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| 559 | rv_recieved_exps=*rv; |
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| 560 | recieved_exps=value; |
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| 561 | |
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| 562 | if (!passive) { |
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| 563 | planned_offset=find_best_offset(planned_offset,find_best_start); |
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| 564 | planned_offset=normalize_offset(planned_offset); |
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| 565 | } |
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| 566 | |
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| 567 | planned_rating=count_rating(planned_offset, recieved_exps, rv_recieved_exps); |
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| 568 | |
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| 569 | // we have new stable state to broadcast |
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| 570 | new_stable_state=true; |
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| 571 | } |
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| 572 | else if (what=="stable_state") { |
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| 573 | rv_recieved_exps=*rv; |
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| 574 | recieved_exps=value; |
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| 575 | |
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| 576 | planned_rating=count_rating(planned_offset, recieved_exps, rv_recieved_exps); |
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| 577 | |
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| 578 | if (!passive) { |
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| 579 | for (int i=0;i<neighbours.length();i++) { |
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| 580 | rv_change_request.add(RV(neighbours(i)+"_change",2)); |
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| 581 | change_request.set_size(rv_change_request._dsize()); |
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| 582 | ivec ind=RV(neighbours(i)+"_change",2).dataind(rv_change_request); |
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| 583 | |
|---|
| 584 | // offset change |
|---|
| 585 | change_request(ind(0))=find_best_exps(negot_offset,neighbours(i),rating_change); |
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| 586 | // rating change |
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| 587 | change_request(ind(1))=rating_change; |
|---|
| 588 | } |
|---|
| 589 | |
|---|
| 590 | if (negot_offset>negot_limit) { |
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| 591 | negot_offset/=2; |
|---|
| 592 | send_requests=true; |
|---|
| 593 | } |
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| 594 | else { |
|---|
| 595 | final_state=true; |
|---|
| 596 | } |
|---|
| 597 | } |
|---|
| 598 | else { |
|---|
| 599 | final_state=true; |
|---|
| 600 | } |
|---|
| 601 | } |
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| 602 | else if (what=="offset_change_request") { |
|---|
| 603 | double final_rating_diff; |
|---|
| 604 | |
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| 605 | planned_rating=count_rating(planned_offset, recieved_exps, rv_recieved_exps); |
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| 606 | |
|---|
| 607 | rv_recieved_changes=*rv; |
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| 608 | recieved_changes=value; |
|---|
| 609 | |
|---|
| 610 | for (int i=0;i<rv_recieved_changes.length();i++) { |
|---|
| 611 | ivec ind=RV(rv_recieved_changes.name(i),2).dataind(rv_recieved_changes); |
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| 612 | final_rating_diff=-planned_rating+count_rating(planned_offset+(int)recieved_changes(ind(0)), recieved_exps, rv_recieved_exps)+recieved_changes(ind(1)); |
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| 613 | |
|---|
| 614 | if (final_rating_diff>=0) { |
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| 615 | planned_offset+=(int)recieved_changes(ind(0)); |
|---|
| 616 | planned_offset=normalize_offset(planned_offset); |
|---|
| 617 | planned_rating+=final_rating_diff; |
|---|
| 618 | } |
|---|
| 619 | } |
|---|
| 620 | new_stable_state=true; |
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| 621 | } |
|---|
| 622 | else { |
|---|
| 623 | BaseTrafficAgent::receive(msg); |
|---|
| 624 | } |
|---|
| 625 | } |
|---|
| 626 | |
|---|
| 627 | void ds_register(const DS &ds) { |
|---|
| 628 | BaseTrafficAgent::ds_register(ds); |
|---|
| 629 | action2ds.set_connection( ds._urv(), rv_action); |
|---|
| 630 | } |
|---|
| 631 | |
|---|
| 632 | void from_setting(const Setting &set) { |
|---|
| 633 | RV rv_exp; |
|---|
| 634 | |
|---|
| 635 | BaseTrafficAgent::from_setting(set); |
|---|
| 636 | |
|---|
| 637 | total_offset=0; |
|---|
| 638 | actual_time=0; |
|---|
| 639 | negot_cycle=1; |
|---|
| 640 | |
|---|
| 641 | car_leaving_time=2; |
|---|
| 642 | VP=40; |
|---|
| 643 | |
|---|
| 644 | cycle_count=5; |
|---|
| 645 | |
|---|
| 646 | negot_start=4; |
|---|
| 647 | negot_limit=1; |
|---|
| 648 | |
|---|
| 649 | find_best_start=8; |
|---|
| 650 | find_best_limit=2; |
|---|
| 651 | |
|---|
| 652 | passive=0; |
|---|
| 653 | |
|---|
| 654 | UI::get(last_offset, set, "offset", UI::compulsory); |
|---|
| 655 | |
|---|
| 656 | //optional reading parameters from config |
|---|
| 657 | UI::get(passive, set, "passive", UI::optional); |
|---|
| 658 | UI::get(car_leaving_time, set, "car_leaving_time", UI::optional); |
|---|
| 659 | UI::get(VP, set, "VP", UI::optional); |
|---|
| 660 | UI::get(cycle_count, set, "cycle_count", UI::optional); |
|---|
| 661 | UI::get(negot_start, set, "negot_start", UI::optional); |
|---|
| 662 | UI::get(negot_limit, set, "negot_limit", UI::optional); |
|---|
| 663 | UI::get(find_best_start, set, "find_best_start", UI::optional); |
|---|
| 664 | UI::get(find_best_limit, set, "find_best_limit", UI::optional); |
|---|
| 665 | |
|---|
| 666 | |
|---|
| 667 | for (int i=0;i<lanes.length();i++) { |
|---|
| 668 | for (int j=0;j<lanes(i).outputs.length();j++) { |
|---|
| 669 | if (lanes(i).outputs(j)!="DUMMY_DET") { |
|---|
| 670 | rv_exp=RV(lanes(i).outputs(j)+"-"+name+"_"+to_string(i),3); |
|---|
| 671 | rv_outputs.add(rv_exp); |
|---|
| 672 | } |
|---|
| 673 | } |
|---|
| 674 | } |
|---|
| 675 | outputs.set_size(rv_outputs._dsize()); |
|---|
| 676 | |
|---|
| 677 | log_level[logoffset]=true; |
|---|
| 678 | } |
|---|
| 679 | |
|---|
| 680 | void act(vec &glob_ut){ |
|---|
| 681 | if (negot_cycle==cycle_count) { |
|---|
| 682 | vec action; |
|---|
| 683 | action.set_size(rv_action._dsize()); |
|---|
| 684 | |
|---|
| 685 | ivec index = RV(name+"_offset",1).dataind(rv_action); |
|---|
| 686 | |
|---|
| 687 | action(index(0))=normalize_offset(total_offset/cycle_count, false); |
|---|
| 688 | action2ds.filldown(action,glob_ut); |
|---|
| 689 | |
|---|
| 690 | total_offset=0; |
|---|
| 691 | negot_cycle=1; |
|---|
| 692 | } |
|---|
| 693 | else { |
|---|
| 694 | total_offset+=planned_offset; |
|---|
| 695 | negot_cycle++; |
|---|
| 696 | } |
|---|
| 697 | last_offset=planned_offset; |
|---|
| 698 | } |
|---|
| 699 | |
|---|
| 700 | void step() { |
|---|
| 701 | actual_time+=step_length; |
|---|
| 702 | } |
|---|
| 703 | |
|---|
| 704 | void log_register(logger &l, const string &prefix){ |
|---|
| 705 | if ( log_level[logoffset]){ |
|---|
| 706 | l.add_vector ( log_level, logoffset, RV("a",2), "x"+prefix ); |
|---|
| 707 | } |
|---|
| 708 | } |
|---|
| 709 | void log_write() const { |
|---|
| 710 | if (log_level[logoffset]){ |
|---|
| 711 | vec offset_vec(2); |
|---|
| 712 | offset_vec(0)=planned_offset; |
|---|
| 713 | offset_vec(1)=planned_rating; |
|---|
| 714 | log_level.store(logoffset, offset_vec); |
|---|
| 715 | } |
|---|
| 716 | } |
|---|
| 717 | }; |
|---|
| 718 | UIREGISTER(GreenWaveTrafficAgent); |
|---|
