Research On Public Transit Dispatch Optimization Based On The Composition Of Public Transit Passenger Flow

With the rapid development of the society and economy, urban traffic congestion problems have been increasingly serious, public transport becomes ever more crucial. An important issue in current city development is how to alleviate traffic congestion with scientific and rational bus scheduling scheme and higher bus service level.Optimal bus scheduling problems are researched by analyzing bus passenger flow constitutes. This paper divides bus passengers into transfer passengers and no-transfer passengers; establishes optimal bus dispatching models aiming at crowded bus lines caused by transfer passengers and no-transfer passengers.First, this article discusses the characteristic of bus passenger flow and information collection method, analyzes the advantages and disadvantages of bus passengers flow information collection methods and employs improved IC card passenger flow information collection methods to as this paper bus passengers flow information collection methods.Then, according to requisite message in bus dispatching, this paper analyzes the processing method of bus passengers flow information and formulates discrimination method of transfer passengers and no-transfer passengers.Last, this paper analyzes bus scheduling model and its determining method. Choose reasonable scheduling model and establish bus scheduling optimization model respectively on transfer and no-transfer passengers. This paper establishes cross-line intermodal scheduling mode for the situation of more transfer passengers and uses longest path algorithm under particular circumstances to solve the model. For the other situation of more no-transfer passengers, this paper develops departure intervals optimization model based on mix scheduling model of zone scheduling and regular scheduling, uses genetic algorithm to solve the model next. In addition, examples are designed to verify the feasibility after every solved model.