The Study Of Isolated Transit Signal Priority Control Strategy And Simulation

In order to giving priority to the development of urban public transport, it needs to implement transit priority policies, such as the bus lanes, transit signal priority strategy, and advanced traveler information system. For ensuring the efficiency of implementation of priority strategy, as an important method to achieve urban public transport priority Transit Signal Priority (TSP) plays an important role.The study taking the isolated signalized control intersections with no bus lanes as a subject, studies the change of efficiency after implementing TSP, and develops a kind of TSP based on reducing the bus delay and controlling social vehicles delay increment.First, the study introduces TSP strategies, the calculation of efficiency of intersection and analyzes the efficiency of passive priority and active priority. During the analysis of efficiency of active priority, the study proposes a delay model that takes account of the time of passengers through the intersection. The delay triangle is used to calculate the average delay per person of two common TSP strategies which are green extension and red truncation. Analyzing the factors of influence on passenger delay is carry out based on the two-phase intersection. The results show that TSP strategies can improve the traffic efficiency of intersection in different degrees, and cause the increment of social vehicle delay simultaneously.In order to reducing social vehicle delay, isolated signal transit priority control based on the queue length is developed oriented to isolated intersection transit priority strategy. The logic rules include priority request generation, green time adjustment and phase switching.Finally, the simulation test is conducted by VISSIM on an isolated intersection with four phases. Compared with the results of fixed signal control, actuated transit priority control strategy and the transit priority strategy based on queue length, the last one may significantly control the increment of average delay per social vehicles with reducing average delay per bus.