Optimization of Smart Bus Dispatching Algorithm Based on Passenger Flow Variation Characteristics and Strategies for Holiday Response
PDF

Keywords

passenger flow variation characteristics
Intelligent bus scheduling
Algorithm optimization
Holiday response strategies

Abstract

This article mainly talks about how to optimize the intelligent bus scheduling algorithm according to the characteristics of passenger flow changes, and how to deal with holidays. First of all, it talks about the importance and present situation of intelligent bus dispatching. Then, the characteristics of passenger flow change are analyzed, including the law of daily passenger flow and the characteristics of holiday passenger flow. Then, the optimization direction of intelligent bus scheduling algorithm is discussed, including the design concept and key elements of the algorithm. Finally, the strategies for holidays are put forward, including forecasting and early warning, resource allocation and service optimization, in order to improve the operation efficiency and service quality of public transport and meet everyone's travel needs.

PDF

References

Gao, L., Chong, H. Y., Zhang, W., & Li, Z. (2023). Nonlinear effects of public transport accessibility on urban development: A case study of mountainous city. Cities, 138, 104340.

Rosca, C. M., Stancu, A., Neculaiu, C. F., & Gortoescu, I. A. (2024). Designing and implementing a public urban transport scheduling system based on artificial intelligence for smart cities. Applied Sciences, 14(19), 8861.

Yu, J., Xie, Z., Dong, Z., Song, H., Su, J., Wang, H., ... & Yang, J. (2022). Intelligent Bus Scheduling Control Based on On-Board Bus Controller and Simulated Annealing Genetic Algorithm. Electronics, 11(10), 1520.

Nayak, A. M., & Chaubey, N. K. (2022). Intelligent passenger demand prediction‐based rerouting for comfort perception in public bus transport systems. International Journal of Communication Systems, 35(18), e5351.

KA, J. K., Francis, J. M., & Chavan, A. R. Smart City Transport: Passenger-Centric Intelligent Scheduling System for Urban Public Transit. JOURNAL OF TECHNICAL EDUCATION, 252.

Liu, Y., Huo, L., Zhang, X., & Wu, J. (2023). A multi-objective resource pre-allocation scheme using SDN for intelligent transportation system. IEEE Transactions on Intelligent Transportation Systems, 25(1), 571-586.

Rosca, C. M., Stancu, A., Neculaiu, C. F., & Gortoescu, I. A. (2024). Designing and implementing a public urban transport scheduling system based on artificial intelligence for smart cities. Applied Sciences, 14(19), 8861.

Xu, M., Liu, T., Zhong, S. P., & Jiang, Y. (2022). Urban smart public transport studies: A review and prospect. Journal of Transportation Systems Engineering and Information Technology, 22(2), 91-108.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2026 Chenyang Yue (Author)