关键词: 公交车调度, 粒子群优化, 线性递减惯性权重, 收缩因子

Abstract: The intelligent schedule of vehicles operation is one of the problems which need to be solved in the public transportation intelligent dispatch，it relates to the economic efficiency and social benefits of transit agency.The authors use a transit vehicle scheduling model which balancing between the interests of bus companies and passengers.The particle swarm optimization algorithm with constriction factor and linear descend inertia weight，namely W-K-PSO is applied to the intelligent schedule of vehicles operation.The simulation results show that W-K-PSO has the higher efficiency than other optimization algorithm and is one effective way optimizing the public transit vehicle dispatching.

Key words: public transit vehicle dispatching, Particle Swarm Optimization（PSO）, linear descend inertia weight, constriction factor