Study on synthesis optimization of vehicles scheduling for urban public transportation

In order to improve the service level of urban public transportation and the efficiency of the vehicles resources, a new multi-objective synthesis optimization scheduling model is set up in this paper based on the maximum weight value of three satisfaction degree such as comfort inside buses, waitin...

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Bibliographic Details
Published in2009 International Conference on Machine Learning and Cybernetics Vol. 5; pp. 2692 - 2696
Main Authors Xin-Rui Zhang, Lei Zhou
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Bus scheduling
Conference management
Cybernetics
Engineering management
Genetic algorithms
Machine learning
Mathematical model
Multi-objective synthesis optimization model
Resource management
Road transportation
Space vehicles
Technology management
Urban public transportation
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Summary:In order to improve the service level of urban public transportation and the efficiency of the vehicles resources, a new multi-objective synthesis optimization scheduling model is set up in this paper based on the maximum weight value of three satisfaction degree such as comfort inside buses, waiting time and bus company benefits, then it uses the improved genetic algorithm to seek the approximate optimal solution to the model. Finally, the model has been applied to the bus demonstration route of Shijiazhuang city and proved feasible.
ISBN:9781424437023
1424437024
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212104