Transit Signal Priority Control for Emission and Average Delay

This paper proposes a multi-objective optimal bus priority control to reduce emissions and the average transportation delays at the bus-first traffic intersections. First, taking into account the constraints on both the timing of traffic signals and the level of delay and the traffic efficiency of social vehicles, we develop a multi-objective double-layer model, which consists of an emission model and a model that is to minimize the average transportation delay at signalized intersections. Then, after setting parameter values based on a genetic algorithm for the constraints on the objective function, we get an improved traffic signal timing plan by solving the function of multi-objective double-layer model. Finally, we construct a traffic simulation platform to test the empirical results. The result shows that within 600 s of simulation time, the emissions at signalized intersections are reduced by 3.26%; the average transportation delay is reduced by 11.83%; energy consumption decreases by 3.10%; the average queue-length drops by 4.20%; and traffic volume increases by 7.17%. In sum, this new traffic signal timing plan improves the performance of current system in various aspects.