Study On Organization And Scheduling Of Transport For The Large-Scale Activity

In recent years, large-scale activities have shown the characteristics of gradual increase of frequency, broadening of scale and growing of duration, etc and the impact by high-intensity flow during activities on the host city traffic becomes increasingly significant. Therefore, how to deal with large-scale activities generated by the sudden high intensity flow distribution and minimize the impact on residents’ daily travel has become the primary problem of urban transportation systems during large-scale activities. It has been proved that public transport system, an efficient transportation means, plays an important role in the evacuation of large-scale activities. Besides, the research result will not conform to the realistic conditions so as to provide safe, fast and comfortable public transport services for large-scale activities until we carry out the public transportation research based on the distribution characteristics of large-scale activities. This paper mainly analyzes and studies the theories and methods of public transport organization and scheduling of large-scale activities.Firstly, the paper elaborates the definition, characteristics and classification of large-scale activities based on the reference to domestic and foreign researches, analyzes the traffic demand characteristics and concludes the features of public transport organization and management of large-scale activities.Secondly, distribution models are respectively established according to the travel and distribution characteristics of local audience and non-local audience and the division of transport means simply discussed. The distribution law toward the dismissed audiences during large-scale activities is also predicted in the paper.At last, the organization and scheduling of public transport in large-scale activities is studied. In the paper, the author mainly builds a demand prediction model of public transport route to make an analysis on the capacity resource demand. The author proposes the method of optimization the existing public transit network on the existing public transit network. Based on the analysis on large-scale activities of public transport scheduling characteristics and combining with the bus routes prediction and the distribution law of the dismissed audience reaching at the bus stations, the author establishes an optimization model of departure time of buses during large-scale activities which aims at shortening the waiting time of the audiences in station as much as possible. Then, a Genetic Algorithm is developed by MATLAB to solve the model in this thesis. Taking the2011Shenzhen World University Games (The Shenzhen Institute of Information Technology stadium football game) as a case study in order to validate the proposed model and solving algorithm. The bus scheduling optimization results are evaluated by comparing waiting of before and after optimization.