考虑乘客滞站的相交线路公交时刻表优化模型
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U121

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国家自然科学基金项目(面上项目,重点项目,重大项目)


Timetable Optimization Model for Intersecting City Bus Routes: A take on passenger flow clog up
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    摘要:

    为了分析公交线路发车时刻优化问题,本文以相交且发生换乘的两条公交线路作为研究对象,在考虑乘客滞站的前提下,以候车总时间、换乘等待时间和非换乘乘客候车时间最短为目标函数,构建公交时刻表优化模型。并选择了呼和浩特市4路公交“金隅环球中心至医科大学附属医院”段、78路“呼市公交公司至赛罕区教育局”段两条线路作为研究对象,利用构建的优化模型通过遗传算法进行求解。结果显示:应用本文提出的公交时刻表优化方案,乘客换乘等待时间和乘客总候车时间分别节省了18.1%和10.7%。可见,本文提出的优化模型可以有效提高相交线路的运行效率。

    Abstract:

    This study was aimed at analyzing the optimization of departure timetables for certain city bus routes. This was done by selecting two intersecting city bus routes that simultaneously serve as transit routes to solve the problem of passenger flow clog up, and building a city bus timetable optimization model that takes total waiting time, transfer waiting time and minimum non-transit waiting time as objective functions. Two city bus routes in Hohhot City, namely Line 4’s "JINYU Global Center ~ Affiliated Hospital of Medical University" section and Line 78’s "Hohhot Bus ~ Saihan District Education Bureau" section, were studied, and the optimization model was solved using genetic algorithm. The results show that the proposed city bus timetable optimization scheme can shorten the transit waiting time and total waiting time by 18.1% and 10.7% respectively, thereby validating the proposed optimization model’s effectiveness in improving the operating efficiency of intersecting routes.

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梁晓辉,高姝敏,陈松利,等. 考虑乘客滞站的相交线路公交时刻表优化模型[J]. 科学技术与工程, 2024, 24(13): 5531-5537.
Liang Xiaohui, Gao Shumin, Chen Songli, et al. Timetable Optimization Model for Intersecting City Bus Routes: A take on passenger flow clog up[J]. Science Technology and Engineering,2024,24(13):5531-5537.

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  • 收稿日期:2023-03-28
  • 最后修改日期:2024-01-25
  • 录用日期:2023-10-10
  • 在线发布日期: 2024-05-17
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