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A bi-objective model to address disruptions on unidirectional road networks * * This project is funded by the Beijing YuanZhi Tiancheng Technology Co. Ltd, China.

机译:用于解决单向道路网络中断的双目标模型 * * 该项目由北京资助中国远志天成科技有限公司。

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In this study, we propose a bi-objective mathematical model to solve the problem of finding deviations (alternate paths) on a given unidirectional road network whenever a set of disruptions occurs. Unidirectional networks can model city centers and touristic areas. Thus, an alternate path to avoid a blocked route may imply changing the orientation of some routes. Such a decision is usually not well accepted by users as it changes their travel pattern. The bi-objective Unidirectional Road Network with Disruptions and strong connecting requirements (bi-URND) aims at simultaneously minimizing the number of link reversals and the total costs to route one unit of flow between every pair of origins and destinations, such that the final network remains strongly connected. Preliminary results are presented for a set of randomly generated grid networks with up to 36 nodes and 60 road segments. The Pareto-optimal front can be computed for instances with up to 25 nodes.
机译:在这项研究中,我们提出了一个双目标数学模型,以解决每当发生一组干扰时在给定的单向道路网络上查找偏差(替代路径)的问题。单向网络可以为市中心和旅游区建模。因此,避免路径阻塞的替代路径可能意味着更改某些路径的方向。用户通常不会很好地接受这样的决定,因为它会改变他们的出行方式。具有中断和强大连接要求的双向双目标单向路网(bi-URND)旨在同时最大程度地减少链路反转的次数以及在每对始发地和目的地之间路由一个流量单位的总成本,从而使最终网络保持紧密联系。给出了一组随机生成的网格网络的初步结果,该网格网络具有多达36个节点和60个路段。可以为最多25个节点的实例计算Pareto最优前沿。

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