李杰文, 康朝贵. 一种基于时空棱柱的乘车行程可拼性判断模型[J]. 武汉大学学报 ( 信息科学版). DOI: 10.13203/j.whugis20210633
引用本文: 李杰文, 康朝贵. 一种基于时空棱柱的乘车行程可拼性判断模型[J]. 武汉大学学报 ( 信息科学版). DOI: 10.13203/j.whugis20210633
Li Jiewen, Kang Chaogui. A space-time prism based ridesharing model for shared mobility[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20210633
Citation: Li Jiewen, Kang Chaogui. A space-time prism based ridesharing model for shared mobility[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20210633

一种基于时空棱柱的乘车行程可拼性判断模型

A space-time prism based ridesharing model for shared mobility

  • 摘要: 拼车作为城市共享出行的重要组成部分,获悉行程间的可拼性程度对城市推广拼车服务和提高乘客的出行效率具有重大意义。当前研究大多依据车辆在多个上下车点之间先后到达顺序是否满足相应的时空约束条件来判断拼车的可实现性,缺少有效建模行程可拼性强度的手段,在应对大规模拼车请求中无法快速全面地发现潜在可拼行程。为此,本文基于时空棱柱的建模方法和乘客共享意愿的时空表达,构建行程时空范围的潜在可达性模型,并将行程时空棱柱间的拓扑关系应用到行程的可拼性判断过程中,计算行程的可拼性强度;最后,提出了两种拼车匹配策略用于模拟真实出行环境下的拼车匹配结果。实验表明,本研究提出的行程时空棱柱可拼性判断模型能准确构建行程的潜在可达时空范围,使得发现潜在可拼行程的过程变得更加容易,实现了行程间可拼性程度的准确及有效判断,可视化分析的结果在呈现城市的行程可拼性能力和拼车结果的时空分布特征上表现出一定优势。在城市的共享出行系统中能为车辆资源调度方案和乘客拼车出行规划提供一定的决策支持。

     

    Abstract: Ridesharing is an essential part of shared mobility for improving passengers' travel efficiency in cities. Existing studies usually determine shareable trips based on whether the arrival sequence of vehicles in more than one pick-up and drop-off points can meet predefined spatio-temporal constraints. Such a simple approach cannot quickly and comprehensively find all the potential shareable trips under scenarios involving large-scale car-sharing requests. Therefore, based on the modeling method of space-time prism and the spatial-temporal expression of passengers' sharing willing, we propose a potential spatio-temporal path area model of travel. Then, we apply the topological relation between the space-time prisms of trips for ridesharing identification, and quantify the strength of ridesharing of trips. Finally, two ridesharing matching strategies are proposed to simulate the result of ridesharing matching in real-world travel environment. Results confirm that the proposed ridesharing identification model can accurately delineate the potential space-time accessibility of vehicular travel, which makes it easier to discover all potential shareable trips and to realize the accurate and effective car-sharing identification. Our study will be helpful to vehicle resource scheduling and passenger ridesharing travel planning in urban shared mobility system.

     

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