Research on Intelligent Bus Scheduling Based on QPSO Algorithm

In view of the city intelligent bus scheduling optimization problem, based on the full consideration of the bus company operating costs and the passengers waiting costs, in this paper a bus scheduling optimization model with three goals is established by introducing an additional factor, i.e., the comfort of passengers. By means of the linear weighted method, three objective functions are integrated. Since the particle swarm optimization (PSO) algorithm is easy to fall into local optimum, we use the QPSO to achieve the optimal solution of bus departure interval by its capacity of judging precocious phenomena and jumping out of local optimum.