Optimization Measures Based On Real-time Vehicle Scheduling Bus

In recent years, along with the rapid development of urban economy, the quantities of motor vehicle rise sharply, traffic demand expands rapidly, and the road traffic infrastructure construction relatively lags behind. These make traffic congestion become one of the problems which seriously affect the life of people. Just depending on new building of roads will not change the original congestion level, and giving priority to the development of public transport is the effective way to solve this problem. The bus priority policy needs through bus system of internal optimization measures to ensure implementation. Realizing the transit system optimization needs many measures, these measures are broad. It's a complex problem of multi-objective and standards. The government, traffic administrative department and the bus companies must understand them in the process of implementing bus priority policy position, your priorities, so get a reasonable arrangement of financial and material.Firstly, this paper has discussed the necessity of implementing bus priority policy, The Lotka-Voltera competition model in ecology is used to explain the process of dynamic balance between cars and buses which are two different modes of transportation in urban development process. I had given the influence when the bicycler choose different modes of transportation in different situations in the long run to urban traffic conditions, public transport due to its advantages of fewer per capita occupancy resources of urban traffic development undoubtedly plays an important role. On this basis, the article also clarified the purpose of different public bus priority measures under the security of bus priority, from the service benefit, company's interests, the social public interests; it includes lower average operation time, improving the reliability of the travel time, further reducing the energy consumption and environmental pollution.To achieve the purpose of bus priority development, meet the request of residents'rapid travel, easy interchange, high punctuality and bus company profit, involving what bus interior optimization measures adopted. These measures include public traffic environment improvement, transit network reasonable planning, good scheduling, and use of the large capacity of transportation, the reform of public votes, etc. Based on the target layer which are interests of passenger transport and company, this paper uses AHP to do weights analysis on several measures above. The conclusion is that we must focus on solving the good scheduling. Provide some guidance for the government, traffic management departments and public companies doing traffic planning process.Finally based on understanding of BP neural. network structure and Matlab neural network toolbox with GUI interface good visibility and the accuracy of the calculation, Treat bus scheduling problem as a neural network mode identification, by bus lines of the passenger flow distribution sites as input variables and the scheduling adopted as the output variables, then put forward concrete transformation process of this model. In a certain extent, this solves the problem of scheduling algorithm for smart bus. By analyzing different distributing quantity passenger bus lines of the 23,K1 bus in Kunming Beijing road, I obtain the weights of three different forms of scheduling three different forms of scheduling, including the full-zone vehicle, the inter-zone vehicle, the express vehicle. By Comparing with the target which is predicted by the scheduling form calculation method, we know that application in the real-time scheduling bus of BP network through effective training is of high precision and good generalization ability.