--- Primary code files 1. algorithm.py -> Take jamFactors as inputs and output a road and time to give green signal for 2. main.py -> Runner file for the algorithm. --- Retrieve JamFactors 3. corridor.py -> Script that encodes coordinates of roads into HERE_API understandable IDs 4. corridor_encodings.json -> Stores the encoded junctions 5. jamFactors.json -> A single instance of jamFactor for the junction 6. env.py -> File that stores environment variables API keys etc. --- Fetch periodic JamFactors 7. getApiData.py -> Retrieves jamFactors on that timestamps and stores in jamFactors.json 8. 15mins_jamFactors.json -> File that stores jamFactors of the junction recorded over 15 minutes at 10 second intervals --- Get remaining vehicles from SUMO and merge 9. traci_count.py -> Get number of vehicles remaining in every lane at every 50s interval from SUMO 10. remaining_vehicles.json -> List of remaining jamFactors objects at the junction 11. mergeJF.py -> Script that merges 15mins_jamFactors.json and remaining_vehicles.json 12. new_JF_List.json -> Final JamFactors --- Generate SUMO traffic 13. generateRoutes.py -> Converts jamFactors into vehicles and generates traffic, output -> generatedRoutes.rou.xml 14. generatedRoutes.rou.xml -> Generated traffic from all directions as xml --- Generate traffic light sequence 15. generateRoadTimes.py -> Script to run the algorithm and get the traffic light sequence as JSON 16. road_times.json -> Stores a list of roads and times for each of the roads 17. generateLightAlgo.py -> Script that converts the JSON road times into SUMO XML traffic light sequence 18. TLSGenerated.xml -> Generated traffic light sequence in XML
rithika1910/TrafficControlAlgo
Code files for a Dynamic Traffic Light Controller Algorithm made as a part of University project
Python