An Improved Algorithm Research of Transit Signal Priority Based on Bi-objective Optimization Model

摘要

Optimization of adaptive traffic signal timing is one of the most complex problems in traffic control systems. In order to obtain control parameters of bus signal priority of the urban roads, a bi-objective optimization model for signal timing is established based on real-time data of GPS. As the goal of optimization, the delay and stops are calculated respectively. And the corresponding constraint condition is built. The method can optimize green splits and offset at urban arterial road. A VISSIM simulation testbed was developed to evaluate the performance of the proposed bi-objective optimization model. The results show that the optimizer can produce TSP timing plans that benefit the transit vehicles while minimizing the impact of TSP on the general vehicles.