基于旅行时间可靠性的最优寻路

Shuopeng Wang, H. Shao, Li Tao, Qinjian Ni
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引用次数: 4

摘要

提出了一种基于旅行时间可靠性的寻路问题的启发式求解算法。由于网络的不确定性,出行时间具有不确定性,存在波动。在这种情况下,传统的基于最小期望旅行时间的最优路径方法无法捕捉网络用户在寻路过程中的冒险行为。在对这一限制进行重组时,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,本文定义的最优路径是寻找有效行程时间最小的路径。由于有效行程时间的非加性,除非枚举所有路径,否则很难找到最优路径。为了在寻找最优路径时避免路径枚举,采用k-最短路径算法,通过迭代生成路径集。此路径集是为了包含最优路径而生成的。然后,在这样的路径集中,可以很容易地找到最优路径。最后通过一个算例说明了该算法的应用和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Travel Time Reliability-Based Optimal Path Finding
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 user’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.
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