| 引用本文: | 别一鸣,熊昕宇,成卫,程绍武.城市公交线路的时间控制点选择算法[J].哈尔滨工业大学学报,2019,51(3):68.DOI:10.11918/j.issn.0367-6234.201708090 |
| BIE Yiming,XIONG Xinyu,CHENG Wei,CHENG Shaowu.Time control point selection algorithm for an urban bus route[J].Journal of Harbin Institute of Technology,2019,51(3):68.DOI:10.11918/j.issn.0367-6234.201708090 |
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| 摘要: |
| 为提高公交服务可靠性,减少串车现象的发生,提出一种基于历史公交GPS数据的公交线路时间控制点优选方法. 首先给出了控制点设置的3个基本原则,主要考虑控制点的位置、控制点之间的行程时间、控制点之间的距离等因素. 从控制点设置的原则中选取若干个因素进行量化分析,确定控制点优选的评价指标. 基于公交GPS数据建立了平均停站时间指标、站间行程时间差异指标以及综合评价指标的计算方法,提出整体最优和局部最优两种时间控制点优选思路. 其中整体最优方法可以从所有备选方案中选择出最优方案,但计算过程繁琐、耗费时间较长；局部最优方法可以在保证一定优化效果的前提下,节省大量成本. 最后以苏州市102公交线路为例分别对这两种优选流程进行了分析,结果表明两种优选流程都能选出有效的时间控制点方案. |
| 关键词: 公交线路 时间控制点 公交调度 GPS数据 优选方法 |
| DOI：10.11918/j.issn.0367-6234.201708090 |
| 分类号:U491 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(2,9)； 云南省高校智能交通工程技术研究中心开放基金； 黑龙江省博士后科研启动基金(LBH-Q15050) |
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| Time control point selection algorithm for an urban bus route |
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BIE Yiming1,XIONG Xinyu1,CHENG Wei2,CHENG Shaowu1
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(1. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China; 2. School of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China)
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| Abstract: |
| In order to improve the reliability of bus service and reduce the bus bunching phenomenon, this paper presents an optimized method for time control point selection of a bus route based on bus GPS data. First, three basic principles of control points setting were given, which mainly consider position of control points, travel time between control points, and distance between control points. Several factors were selected from the principle of control point setting for quantitative analysis, and the evaluation index of control points setting was determined. Based on the GPS data of buses, the computing methods of the average dwell time, the difference between inter-stop travel time, and the comprehensive evaluation index were established. The overall optimum and the local optimum time control point selection methods were brought forward. The overall optimum method can select the optimal solution from all the alternatives, but the calculation process is cumbersome and time consuming; whereas the local optimum method can save a lot of costs under the premise of ensuring certain optimization effects. Finally, bus route 102 in Suzhou City was taken as an example to analyze the two selection methods and the results show that the two methods can both select an effective time control point scheme. |
| Key words: bus route time control point bus control GPS data selection method |
