Optimization Analysis of Bus Scheduling
DOI:
https://doi.org/10.6919/ICJE.202506_11(6).0016Keywords:
Bus Scheduling; Optimization; The Mathematical Model.Abstract
Taking the bus scheduling challenges in City GY as a case study, this paper explores the rational dispatching of public transportation systems with dual objectives: fulfilling operational requirements while maximizing transport company benefits. Through statistical analysis of collected survey data and systematic integration of optimization theory, we develop computational solutions via programming implementation, ultimately deriving an optimal scheduling framework. The methodology demonstrates extensibility and can be generalized to address analogous scheduling problems across transportation domains.
Downloads
References
[1] Jiang Qiyuan, Xie Jinxing, et al. Mathematical Modeling (3rd ed.) [M]. Beijing: Higher Education Press, 2009.
[2] Li Weiming, Zhao Weiqiang, Jia Lifang, et al. Research on Optimization Model of Bus Route Scheduling in Shijiazhuang City [J]. Journal of Transportation Engineering, 2007, 7(1): 91-93.
[3] Zhuo Jinwu. Application of MATLAB in Mathematical Modeling [M]. Beijing: Beihang University Press, 2011.
[4] Fu Changjian, et al. Optimization of Bus Scheduling Strategy Based on Mathematical Model [J]. Journal of Sichuan University (Natural Science Edition), 2023, 50(3): 45-52.
[5] Zhang Feizhou, et al. Research on the Application of Artificial Intelligence in Bus Scheduling Management [J]. Journal of Peking University (Engineering Edition), 2022, 58(4): 112-118.
[6] Liancheng Technology Research Team. Real-Time Traffic Data-Driven Dynamic Bus Scheduling Model [J]. Journal of Transportation Systems Engineering and Information, 2025, 25(1): 34-42.
[7] Wang Shunfeng. A Simplified Mathematical Model for Bus Scheduling Problem [J]. Journal of Nanjing Institute of Meteorology, 2005, 25(3): 425-428.
[8] Zhu Jinshou, et al. Application of Genetic Algorithm in Bus Scheduling Optimization [J]. Transportation and Computer, 2012, 20(3): 62-64.
[9] Shi Aiju, Zhou Lin. Research on Several Issues in Bus Scheduling Optimization [J]. Mathematics in Practice and Theory, 2012, 32(2): 189-194.
[10] Li Ming, et al. Research on Bus Shift Scheduling Optimization Based on Improved Genetic Algorithm [J]. Control and Decision, 2023, 38(6): 78-85.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Core Journal of Engineering

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




