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7 September 2023 Public transportation optimal dispatching strategy based on gray passenger flow forecasting
Kefan Hu
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Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127906L (2023) https://doi.org/10.1117/12.2689590
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China
Abstract
With the rapid development of the times, it is imminent to solve the problem of urban traffic congestion. Vigorously developing urban public transport and optimizing the urban public transport dispatching system can effectively solve the problem of traffic congestion. Combining mathematical methods, scientific planning of traffic and rational scheduling of resources will bring urban public transport development More possibilities. This paper establishes a passenger flow forecasting model based on the Gray Forecast Model, and constructs a prediction method for the future period of the passenger flow data based on the existing passenger flow data. At the same time, an optimization model was established based on the two indicators of " Profitability" and "satisfaction", and the artificial immune algorithm was used to find the best scheduling plan for the day. Finally, a sensitivity test was performed on the model parameters to illustrate the stability of the model.
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Kefan Hu "Public transportation optimal dispatching strategy based on gray passenger flow forecasting", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127906L (7 September 2023); https://doi.org/10.1117/12.2689590
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KEYWORDS
Mathematical optimization
Data modeling
Mathematical modeling
Genetic algorithms
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