| With the rapid development construction of urban traffic and social econom y, a large number of motor vehicles appeared which made serious traffic congest ion and blockage at the same time caused the environment serious pollution such as exhaust emissions and noise. Facing such serious urban transport problems, Public Transport Priority has been one of the effective ways of alleviating the problems of urban traffic congestion.Using Single Intersection and adjacent intersections as the research object, the modeled for the optimization objective to reduce exhaust emissions of intersection and to increase the total number of people going through the intersection regions.A model about bus-priority was built to minimize the total delay of passenger and reduce the exhaust emissions at the intersection, four phase single intersection is the object of study, to realize this goal, when the signal cycle is constant, a bus-priority phase for green extension was used and the model can be solved by the particle-swarm-optimization.Using adjacent intersections as the research object, the circle and phasic dispersion is optimized based on green wave effect. The modeled for the optimization objective to reduce exhaust emissions of intersections and to increa se the The total number of people going through the intersection regions.The m odel used particle swarm optimization algorithm to solve problem.Simulation results show that this method ensure the priority of passage of bus vehicles while also decreasing the exhaust emissions... |