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On-demand Dynamic Bi-/multi-modal Ride-sharing using Optimal Passenger-vehicle Assignments

机译:使用最优乘用车分配的按需动态双/多模态乘车共享

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Existing mobility-on-demand service has a major inefficiency for its operating policy design by disregarding the opportunity in cooperation with other transportation networks. In this work, a dynamic bi-/multi- modal vehicle dispatching and routing algorithm is proposed to address the real-time operating policy of ride-sharing (feeder) services in coordination with the presence of existing public transportation networks. We propose a solution algorithm based on the concept of shareability to group a bundle of requests and find optimal passengers-vehicles assignment with least cost to ensure seamless bi-/multi modal trips. The proposed method is tested on a realistic transportation network with stochastic demand. This study provides a useful tool for real-time mobility-on-demand service planning and design in a multimodal transportation network.
机译:通过无视与其他交通网络合作的机会,现有的移动性按需服务对其经营政策设计具有重要效率。在这项工作中,提出了一种动态的双模态车辆调度和路由算法,以解决与现有公共交通网络的存在协调的乘车共享(Feeder)服务的实时操作策略。我们提出了一种基于截然烟囱概念的解决方案算法,对一束请求组,找到最佳乘客 - 车辆分配,以确保无缝的双/多模态跳闸。该方法在具有随机需求的现实运输网络上进行了测试。本研究为多式联运网络中的实时移动性需求服务规划和设计提供了一种有用的工具。

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