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AN ONLINE STOCHASTIC ROUTING INCORPORATING REAL-TIME INFORMATION

机译:包含实时信息的在线随机路由

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摘要

This study develops two on-line stochastic routing policies/algorithms which identify the optimalrnnext action at the current decision node (intersection) for travelers preferring either the shortest path orrnthe most reliable path given the current network conditions. Considering that real-time trafficrninformation is usually available with a certain level of accuracy, the proposed on-line routing policyrnintegrates an existing information fusion model which provides real-time short-term link travel timerndistributions by considering information accuracy. Further, this study uses numerical experiments torndemonstrate the efficiency of the proposed routing policies/algorithms as well as the impacts of realtimerninformation accuracy on the on-line stochastic routing.
机译:这项研究开发了两种在线随机路由策略/算法,它们针对在当前网络条件下偏爱最短路径或最可靠路径的旅行者,确定了当前决策节点(交叉口)处的最优下一个动作。考虑到实时流量信息通常具有一定的准确性,建议的在线路由策略集成了一个现有的信息融合模型,该模型通过考虑信息准确性来提供实时的短期链路行程时间分布。此外,本研究使用数值实验来证明所提出的路由策略/算法的效率,以及实时信息准确性对在线随机路由的影响。

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