The Optimization Model of Urban Transit Departure Frequency
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Transit operator is the key of public transport management. To enhance the level of public transport, departure frequency management is an important means of improving the service quality of urban public transport and attracting passengers. This paper analyzes urban transit departure frequency in terms of service quality and efficiency then builds transit service frequency optimal model, with multitarget optimization model to passengers′ travel cost as well as for the benefit of the transit company. The genetic algorithms is used to solve this model. Based on realistic transit service survey data, the model is applied in transit route and proved to be useful.
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