Solving in real-time the dynamic and stochastic shortest path problem for electric vehicles by a prognostic decision making strategy

作者：

Highlights：

• Real-time prognostic-based routing strategy for electric-vehicles.

• Solving Dynamic Stochastic Shortest Path Problem for electric-vehicles.

• Heuristic for finding K-Shortest paths with diversity.

• State of Charge and Travel Time prognostic.

摘要

•Real-time prognostic-based routing strategy for electric-vehicles.•Solving Dynamic Stochastic Shortest Path Problem for electric-vehicles.•Heuristic for finding K-Shortest paths with diversity.•State of Charge and Travel Time prognostic.

论文关键词：Dynamic and stochastic shortest path problem,Electric vehicles,Real-time decision making

论文评审过程：Received 30 January 2020, Revised 19 May 2021, Accepted 24 June 2021, Available online 6 July 2021, Version of Record 22 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115489