An Optimization Route Model on the Problems of Cooperative Public Transportation Networks with Grid Services

Abstract

To a large extent, the development of the city’s economy and society rely on a stable and reliable transport network. This paper focused on the existing problems in the city’s public transport network system in China, and a public transport network structure of distribution model in favor of cooperative services was studied, which is based on Web Services and grid technology. It is analyzed that public transportation network systems do not work cooperatively, which is owed to the heterogeneity of the system. So, a public transportation network cooperation model is designed with grid service techniques to solve the problem. This model has good characteristics such as encapsulation, loosely coupling, sealing the public transportation networks in the grid services, and using SOAP to transfer messages during grid services, which can cooperate during different transportation route network systems and solve the problem of cooperation. On this basis, this paper describes the distribution model optimization of the public transport network, which can be implemented in the transport network system of an innovative city’s economic circle with mathematical formulas for network routes, by analyzing the public transportation network optimization goals and constraints and adjusting the network optimization pattern. The forecast model turns to take the user equilibrium problem of determinacy transport network as an object of study, analyzing the determinacy user equilibrium constraint and network routing capacity-constrained optimizing task. This paper proposed an entropy-maximizing approach for deciding upon the most likely traffic route queuing pattern that satisfies the network equilibrium conditions. Finally, the routing optimization feasible project was proposed which found a solution to the traffic network of the innovation city.