Traffic Congestion Reduction using Trip Calibration, Vehicle Rerouting, and Traffic Light Control in Intelligent Transportation System

The effectiveness of traffic management strategies is essential in reducing traffic congestion. Developing an effective traffic management strategy using traffic simulation involves calibration of the simulator parameters and evaluating the traffic management strategy. This thesis enhances both parts of the development process. With better calibration efficiency, practitioners can analyse traffic scenarios with a lower computational budget. In terms of traffic management, a unified framework which combines vehicle rerouting and traffic light control strategies is proposed in this thesis to reduce traffic congestion.