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Multi-objective integration of timetables, vehicle schedules and user routings in a transit network

机译:公交网络中的时间表,车辆时间表和用户路线的多目标集成

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The Transit Network Timetabling and Scheduling Problem (TNTSP) aims at determining an optimal timetable for each line of a transit network by establishing departure and arrival times at each station and allocating a vehicle to each timetable. The current models for the planning of timetables and vehicle schedules use the a priori knowledge of users' routings. However, the actual route choice of a user depends on the timetable. This paper solves the TNTSP in a public transit network by integrating users' routings in the model. The proposed formulation guarantees that each user is allocated to the best possible timetable, while satisfying capacity constraints. In addition, we perform a trade-off analysis by means of a multi-objective formulation which jointly optimizes the operator's and the users' criteria. (C) 2016 Elsevier Ltd. All rights reserved.
机译:公交网络时间表和调度问题(TNTSP)的目的是通过在每个站点建立出发和到达时间,并为每个时间表分配车辆,为公交网络的每条线路确定最佳时间表。当前的时间表和车辆时间表计划模型使用了用户路线的先验知识。但是,用户的实际路线选​​择取决于时间表。本文通过将用户的路由集成到模型中,解决了公共交通网络中的TNTSP问题。所提出的公式保证了在满足容量限制的同时,将每个用户分配到最佳时间表。此外,我们通过多目标公式进行权衡分析,从而共同优化运营商和用户的标准。 (C)2016 Elsevier Ltd.保留所有权利。

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