App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 7

Demand-responsive bus scheduling optimisation model considering carbon emissions under time-varying road networks

Hu Kai
Yuan Pengcheng
Li Jilin
Shanghai university for science & technology business school, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2023.10.0506

Abstract

Previous studies on demand-responsive buses rarely considered the impact of time-varying road networks and carbon emissions on vehicle scheduling, indicating the need for improvement in the limitations of existing studies. In response to the current scenario of mixed operation involving traditional fuel buses and electric buses under the backdrop of "dual-carbon, " this study outlines constraints, costs, and methods for measuring carbon emissions based on the characteristics of these two types of buses. It establishes a scheduling optimization model that incorporates delay time, carbon emissions, and operational costs as optimization objectives. To solve this model, it proposes the use of an adaptive genetic-firefly algorithm. The experimental results show that: (a) The proposed algorithm addresses the issue of local optimality common in traditional genetic algorithms. In experiments based on a simulated road network, it achieves a 9.1% reduction in the objective function, along with decreases of 0.3 vehicles, 4.9 nodes, and 104.57 km in average vehicle usage, average route nodes, and average travel distance, respectively, enhancing the precision of the solution. (b) Considering the impact of carbon emissions, the model can achieve a maximum reduction of 9% in carbon emissions and a 2.9% reduction in operating costs. (c) The vehicle scheduling scheme under dynamic impedance is both realistic and achieves simultaneous reductions of 7.5% in carbon emissions and 5% in operating costs. (d) The introduction of electric buses yields a significant reduction in carbon emissions, but the associated cost increase is noteworthy.

Foundation Support

国家自然科学基金资助项目(71601118)
上海理工大学2023年大学生创新创业训练项目(XJ2023153)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.10.0506
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 7

Publish History

[2023-12-29] Accepted Paper

Cite This Article

胡凯, 袁鹏程, 李佶霖. 时变路网下考虑碳排放的需求响应型公交调度优化模型 [J]. 计算机应用研究, 2024, 41 (7). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.10.0506. (Hu Kai, Yuan Pengcheng, Li Jilin. Demand-responsive bus scheduling optimisation model considering carbon emissions under time-varying road networks [J]. Application Research of Computers, 2024, 41 (7). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.10.0506. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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