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A MULTI-OBJECTIVE NETWORK DESIGN MODEL FOR POST-DISASTER TRANSPORTATION NETWORK MANAGEMENT

机译：灾后运输网络管理多目标网络设计模型

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摘要

Despite their inherent vulnerability to structural and functional degradation, transportation networks play a vital role in the aftermath of disasters by ensuring physical access to the affected communities and providing services according to the generated needs. In this setting of operational conditions and service needs which deviate from normal, a restructuring of network functions is deemed to be beneficial for overall network serviceability. In such context, this paper explores the planning of post-disaster operations on a network following a hazardous event on one of the network's nodes. Lane reversal, demand regulation and path activation are applied to provide an optimally reconfigured network with reallocated demand, so that the network performance is maximized. The problem is formulated as a bi-level optimization model; the upper level determines the optimal network management strategy implementation scheme while the lower level assigns traffic on the network. Three performance indices are used for that purpose: the total network travel time (TNTT), the total network flow (TNF) and the special origin-destination pair (OD pair) accessibility. A genetic algorithm coupled with a traffic assignment process is used as a solution methodology. Application of the model on a real urban network proves the computational efficiency of the algorithm; the model systematically produces robust results of enhanced network performance, indicating its value as an operation planning tool.
机译：尽管其固有的脆弱性易受结构和功能退化的脆弱性，但运输网络通过确保受影响的社区的物理访问和根据所产生的需求提供服务，在灾害之后发挥着至关重要的作用。在偏离正常的操作条件和服务需求的这种情况下，对网络功能的重组被认为是有益的整体网络可用性。在这种情况下，本文探讨了在网络节点之一危险事件后网络上的灾后操作的规划。车道逆转，需求调节和路径激活应用于提供具有重新分配需求的最佳重新配置的网络，从而最大化网络性能。该问题被制定为双级优化模型;上层确定最佳网络管理策略实现方案，而较低级别为网络分配流量。用于此目的的三个性能指标：总网络旅行时间（TNTT），总网络流量（TNF）和特殊原点 - 目的地对（OD对）可访问性。与流量分配过程耦合的遗传算法用作解决方案方法。模型在真正城市网络上的应用证明了算法的计算效率;该模型系统地产生增强网络性能的强大结果，将其作为操作计划工具的值表示。

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