Transit Signal Priority Based on Optional Phase Optimization Framework in Connected Vehicle Environment

Abstract:

An optional phase optimization framework for transit signal priority （TSP） was proposed and a real-time TSP algorithm was developed. Dual-ring phase structure was improved by adding optional transit phases for multiple phase settings to integrate phase repetition， reverse and insertion and other functions. Hence， the green times，cycle length and phase sequence can be optimized simultaneously. A mixed integer linear programming signal control optimization model was built， using the deviation of background signal timings as vehicle loss function， which was linearly designed and computationally cost-effective. Results of a case study show that compared with the active TSP algorithm， the proposed algorithm reduces transit delay and stops by 33.1% and 15.1% respectively， and vehicle delay and stops by 17.7% and 12.6% respectively.