Research On Optimization System Of Transfer Performance On Public Transport Network

In the recent years, with the rapid development of the Chinese economic and society, the advance speed of China Urbanization Process turns faster. At the same time, the urban motorization develops rapidly. Both of them make the traffic situation of many large cities which are congested before turn worse. It also affects the network performance of the traffic networks seriously. The congest situation of the traffic spreads to the secondary cities and regional cities, causing serious loss of national economy. Urban congestion intensifying is due to the city’s existing public transportation facilities seriously lag behind the rapid growth of urban passenger travel demand which needs to be solved imminently. The theory of complex network is one of the hottest research directions during the last decade. Public transportation network is a kind of complex networks, so we take bus network as a media to do some in-depth study of characteristics of complex networks.This paper is based on the method of complex network; through intensive study of public transportation network we find that there are two aspects affect the urban traffic:one is the topology structure of public transportation network; another one is through the theory of intelligent transportation to dispatch optimization of the buses on lines. Our main work and achievements are as follows:1. Performance optimization aims at the whole network service. Based on the model of ideal n-depth factions, and according to the original bus network evolution process, we propose an algorithm which based on the maximum of the shortest path length of network to micro adjust (about5%) the factions. We research the network performance and application in bus network, data analysis shows that with our theory the performance of the network improves much, especially the shortest path length decreases and implements the network diameter length controllable. Both of them improve the transfer performance obviously.2. On the purpose of using the theory of intelligent transportation to schedule optimization of bus on lines, we analysis the present situation and characteristics of Chinese urban bus dispatching system and propose a more comprehensive method of public transport intelligent dispatching optimization which based on static scheduling and dynamic scheduling of bus lines. The static scheduling is through the demand of passengers and the benefit of enterprise to analysis the factors which affect the bus service frequency, On the premise of ideal scheduling system has been proposed, establish a bus scheduling optimization model with multi-objective function composed by passenger satisfaction and enterprise revenue. Use the Particle Swarm Optimization to solve the multi-objective function. The dynamic scheduling is based on the GPS to establish model of traffic anomaly of bus stations, according to the coefficient of traffic anomaly of passengers and unbalanced coefficient of traffic anomaly of bus stations to dynamically dispatch.3. This paper gets the data of bus transportation network and real-time data of bus running through program. Preprocess the data, according to the data to establish the model of performance optimization of bus transfer. We analysis of the performance before and after optimization, combine with the theory of the maximum length of the shortest path, and design and accomplish the performance optimization system which is based on GIS. Through the electronic map we make the routes and stations before and after optimization visualized and evaluate the network performance.