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On-demand dynamic Bi-/multi-modal ride-sharing using optimal passenger-vehicle assignments

机译:使用最佳客车分配的按需动态双/多模式乘车共享

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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:现有的按需移动服务由于忽略了与其他运输网络合作的机会,因此其运营策略设计的效率低下。在这项工作中,提出了一种动态的双/多模式车辆调度和路由算法,以解决与现有公共交通网络相协调的拼车(支线)服务的实时操作策略。我们提出了一种基于共享性概念的解决方案算法,以对一捆请求进行分组,并以最低的成本找到最佳的客车分配,以确保无缝的双/多模式旅行。该方法在具有随机需求的现实交通网络上进行了测试。该研究为多式联运网络中的按需实时流动性服务计划和设计提供了有用的工具。

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