Optimization Model Research Of Multi-objective Public Transportation Network

As China's economic takeoff, the rapid expansion of city size, urbanization is accelerating, while the city economy, culture, material and spiritual life of unprecedented prosperity, brought about various problems, especially serious urban travel is the trigger rising demand, resulting in traffic congestion, congestion, on this basis, the accident rates and pollution index at an alarming rate, these cities have been affected even begun restricting the sustainable development. In order to alleviate traffic pressure on the residents travel to solve problems, give priority to the development of public transport has become a priority because of the effective use of public transport, not only can optimize the structure of the city's traffic, but also to achieve efficient use of road resources. Public transport is dependent on Bus network exist, whether or not Bus network of efficient decide the attraction of the public transport directly, the two complement each other. Therefore, the optimization of public transportation network is to solve these problems the most economical and effective way. Therefore, the research on the public transit network optimization is significant.This paper points out the problems faced by public transportation network optimization, in this based on the proposed public transportation network optimization specific methods: first, introduced the study of today's public transit network optimization status and main contents of the study, a brief overview of the line network Optimization of the general methods and specific steps; Then, the public transit network optimization of some basic elements, including the public transit network optimization purposes, principles, optimization of the basic ideas, bus terminal choice, matching, line calculation of carrying capacity and the initial bus route generation; and then, in analyzing the factors affecting public transportation network optimization, objectives and constraints, under the premise of vehicle operating costs presented to the minimum and the maximum passengers Zhida rate of multi-objective optimization of mathematical models and presented Ant Colony Optimization of Transit Network, through simulation experiments simulated region the line network optimization, breaking the old limitations of the mathematical model of the vehicle cost and the direct passenger traffic between sites as the transition probability of ant influencing factors, combined with models for line objective function and constraints of bus lines. Simulation analysis shows that over the ant colony algorithm to solve multi-objective functions are optimized line network has a scientific and feasible, also has some theoretical and practical significance. Drawn line network by analyzing the superior performance. Finally, a summary of the text points out the problem yet further.