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Travel Time Reliability-Based Optimal Path Finding

机译:基于行程时间可靠性的最佳路径查找

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摘要

A heuristic solution algorithm for travel time reliability-based path finding problem is proposed in this paper. Due to network uncertainties, the travel times are not deterministic and suffer from fluctuations. Under this circumstance, traditional optimal path methods based on least expected travel time can not capture the network userȁ9;s risk-taking behaviors in path finding. In reorganization of this limitation, the definition of effective travel time is introduced to take into account travel time reliability issue. Then, the optimal path defined in this paper is to find the path with minimum effective travel time. Due to the non-additive property of the effective travel time, the optimal path is difficult to find unless enumerate all the paths. To avoid path enumeration while finding the optimal path, the k-shortest paths algorithm is adopted to generate a path set by iterations. This path set is generated in an attempt to include the optimal path. Then, the optimal path can be easily found in such path set. A numerical example is carried out to show the applications and efficiency of the proposed algorithm.
机译:提出了一种基于行程时间可靠性的寻路启发式求解算法。由于网络的不确定性,行程时间不确定,并且会出现波动。在这种情况下,基于最短预期旅行时间的传统最佳路径方法无法捕获网络用户9的路径寻找中的冒险行为。在重新组织此限制时,引入了有效行程时间的定义,以考虑行程时间可靠性问题。然后,本文定义的最佳路径是找到具有最小有效行进时间的路径。由于有效行程时间的非累加特性,除非列举所有路径,否则很难找到最佳路径。为了避免在找到最佳路径时出现路径枚举,采用了k最短路径算法来生成通过迭代设置的路径。生成此路径集是为了尝试包括最佳路径。然后,可以在这样的路径集中容易地找到最佳路径。数值例子说明了该算法的应用和效率。

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