Reliable shortest path finding in stochastic time-dependent road network with spatial-temporal link correlations: A case study from Beijing

作者：

Highlights：

• A variant A* algorithm is proposed to search RSP.

• Empirical data from probe vehicles are utilized to measure TTR.

• A dynamic moment-matching method is utilized to determine path TTD parameters.

• Numerical studies based on a real network are conducted.

摘要

•A variant A* algorithm is proposed to search RSP.•Empirical data from probe vehicles are utilized to measure TTR.•A dynamic moment-matching method is utilized to determine path TTD parameters.•Numerical studies based on a real network are conducted.

论文关键词：Stochastic and time-dependent networks,Travel time reliability,Spatial-temporal correlations,Reliable shortest path,Personalized path navigation

论文评审过程：Received 27 January 2019, Revised 5 January 2020, Accepted 6 January 2020, Available online 16 January 2020, Version of Record 23 January 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113192