Abstract
The prospect theory is used to describe and analysis the passenger behavior and the genetic algorithm is combined with it to establish the bus dispatch model in this paper. Solutions are provided to shorten the passenger waiting time and maximize the benefits of bus company. Finally, it takes the case of bus dispatching from Panzhihua University Headquarters to Xiyuan as a case study.
Huang Li (1980.2-), female, Nan Chong, Sichuan province, master’s degree in Panzhihua associate professor, school of mechanical engineering, school of mechanical engineering college of industrial engineering department, the main research direction for operation management optimization, E-mail: 459628370@qq.com.
Dong-mei Luo (1996.7-) female, person from Suining, Sichuan province, college of mechanical engineering, Panzhihua University.
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Acknowledgements
Fund project: 2017 cxcy049—prospect theory and genetic algorithm optimization application in bus scheduling (2017 university-level university student innovation and entrepreneurship training program project).
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Li, H., Luo, Dm., Luo, Xp., Kun, C., Guo, Zl., Tao, G. (2019). The Application of Foreground Theory and Genetic Algorithm in Bus Dispatching. In: Huang, G., Chien, CF., Dou, R. (eds) Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018. Springer, Singapore. https://doi.org/10.1007/978-981-13-3402-3_40
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DOI: https://doi.org/10.1007/978-981-13-3402-3_40
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