全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

考虑乘客候车时间成本和公交运营收益平衡的公交时刻表优化研究
Research on Bus Timetable Optimization Considering Passenger Waiting Time Cost and Bus Operation Revenue Balance

DOI: 10.12677/ojtt.2024.135034, PP. 299-305

Keywords: 公交时刻表,发车间隔,遗传算法
Bus Timetable
, Departure Interval, Genetic Algorithm

Full-Text   Cite this paper   Add to My Lib

Abstract:

随着城市公共交通的快速发展,编制科学合理的公交时刻表显得尤为重要。本文将乘客候车时间成本和公交运营收益平衡作为优化目标,以公交车满载率、发车间隔为约束条件,建立了公交时刻表优化模型。以南宁市26路公交线路为例进行分析,优化后的公交时刻表相比现状公交时刻表,乘客候车时间成本有所减少,公交运营收入、满载率有了一定提高,证明了模型及算法的可行性。
With the rapid development of urban public transportation, it is particularly important to prepare a scientific and reasonable bus timetable. This paper takes passenger waiting time cost and bus operation revenue balance as the optimization objectives and establishes a bus timetable optimization model with the constraints of bus full load rate and departure interval. Taking Nanning No. 26 bus line as an example for analysis, the optimized bus timetable is compared with the status quo bus timetable, the cost of passenger waiting time is reduced, and the bus operating income and full load rate are improved, which proves the feasibility of the model and algorithm.

References

[1]  Hassold, S. and Ceder, A. (2014) Public Transport Vehicle Scheduling Featuring Multiple Vehicle Types. Transportation Research Part B: Methodological, 67, 129-143.
https://doi.org/10.1016/j.trb.2014.04.009
[2]  van Oudheusden, D.L. and Zhu, W. (1995) Trip Frequency Scheduling for Bus Route Management in Bangkok. European Journal of Operational Research, 83, 439-451.
https://doi.org/10.1016/0377-2217(94)00362-g
[3]  Canca, D., Zarzo, A., Algaba, E. and Barrena, E. (2011) Confrontation of Different Objectives in the Determination of Train Scheduling. ProcediaSocial and Behavioral Sciences, 20, 302-312.
https://doi.org/10.1016/j.sbspro.2011.08.036
[4]  罗建平, 陈欢, 欧勇辉, 等. 融合客流大数据和成本最优化的公交动态排班方法[J]. 交通与运输, 2021, 37(5): 87-92.
[5]  张海燕, 郑长江. 考虑运营与服务平衡的公交时刻表优化研究[J]. 贵州大学学报(自然科学版), 2021, 38(5): 119-124.
[6]  谭华. 基于遗传算法的公交车调度优化研究[J]. 科学技术创新, 2020(32): 50-52.
[7]  江雯, 巩舜妹, 邵志坤, 等. 基于遗传算法的公交车发车间隔优化设计[J]. 时代汽车, 2020(22): 189-190.
[8]  朱良学. 遗传算法用于公交调度问题的研究[J]. 科学技术创新, 2022(27): 17-20.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133