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7 September 2023 Research on the optimization of dynamic departure scheduling of single-route bus based on genetic algorithm
Yong Yang, Ying Xin Liu, Yu Xi Zhang
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Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127906V (2023) https://doi.org/10.1117/12.2689504
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China
Abstract
Static bus scheduling cannot meet the requirements of bus operation well due to the uncertainty of passengers in the process of bus operation. In this paper, for the bus scheduling problem in the Internet of Things environment, a singleroute bus dynamic departure scheduling optimization model with the minimum total passenger waiting time as the objective function is established, and a genetic algorithm is used to adjust the bus departure time at the first stop in real time through a case of dynamic passenger flow change. The experimental results show that the optimized scheduling scheme reduces the total passenger waiting time by 6.8%, which verifies the effectiveness of the model.
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Yong Yang, Ying Xin Liu, and Yu Xi Zhang "Research on the optimization of dynamic departure scheduling of single-route bus based on genetic algorithm", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127906V (7 September 2023); https://doi.org/10.1117/12.2689504
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KEYWORDS
Mathematical optimization
Genetic algorithms
Convex optimization
Internet of things
Berkelium
Internet technology
Mathematical modeling
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