Performance Evaluation of Adaptive Traffic Control Algorithms with Real Traffic Data for Future Measure of Effectiveness (MOE)

Vehicle to infrastructure (V2I) communication may eliminate problems associated with traditional traffic control systems. With the SAE J2735 standard and IntelliDriveSM, real time as well as vehicle specific information (such as vehicle occupancy or the engine capacity) is available to a traffic controller. This technology enables the controller to collect data from nearby vehicles periodically. Goal of designing adaptive traffic signal control that utilizes these data elements is to optimize appropriate metric at an intersection. This paper involves performance evaluation of adaptive traffic control algorithms with real traffic data. Such algorithms and results of their simulation with real traffic data collected from a city junction are presented. Simulation reveals that adaptive algorithms perform better (more than 7%) than the normal algorithm in optimizing several metrics.