The Optimization Of Public Traffic System Operation Based On Queuing Theory

In public traffic systems, passengers' arrival and passengers' transport are very complicated stochastic process. Therefore, public traffic system is a greatly typical bulk-service queuing system. Under analysis related municipal traffic continuable development theory background, by using stochastic theory,the urban public traffic system's operation is conducted the optimized research.Passengers waiting in line in platform is an important part in public traffic systems, so we need to analyze the bus anchors the platform time consumption. The randomicity of the public traffic queuing system is mainly expressed by the randomicity of its input process:passenger traffic flow.This paper first analyzes the situation of the public traffic flow. x~2 hypothesis testing method is used to estimate what distribution passenger arrival time subject to.Describing each platform's queuing system with model stochastic service system model M|M|n, and account it.,we acquire the system target like average line length,average waiting time, and so on.According to random theory, we build common system queuing mode and public traffic flow queuing mode, through the adjustment and the control queuing system to be at the best operation condition. Confirmed this model rationality by the example utilization, Using this model we can find the demand balance point between public transportation company and the passengers,and work out the corresponding driving plan.Finally, by using the birth-death process theory, we establish the public traffic system development control model, and obtains the ratio of idle vehicles and the service vehicles under certain passengers demanded through analysis it. That can be provide the reliable theory basis for program the public system as well as appraises the urban public transportation's development scale.In sum, by applying public traffic flow queuing model to optimize and configure public traffic system, we not only have tested the validity of the model but also gained favorable results by simulation.