Traffic Signal Timings Optimization Based on Genetic Algorithm and Gradient Descent Requirements: 1) Simulation of Urban Mobility 2) Python 3 and some modules -traci -joblib -Distributed evolutionary algorithms in python (DEAP) -numpy
In order to run the project: 1) Run run.sh, this will use the map.osm file to generate test.net.xml. Then the xml file will be used by randomTrips.py to create the car routes. Change the -p flag to alter the number of cars generated. The directory already has sample test.net.xml and route files, so this step isn't completely necessary 2) Run GA-GD approach or GA approach to run the optimization