Estimating the influence of disruption on highway networks using GPS data

作者：

Highlights：

• The method is based on the Bayesian theory and thrice-standard-error principle.

• The method can better account for the data fluctuation and deduce the results.

• Disrupted roads, detour roads, and congestion roads can be accurately determined.

• GPS data make the estimation of disruption more quickly and the coverage wider.

摘要

•The method is based on the Bayesian theory and thrice-standard-error principle.•The method can better account for the data fluctuation and deduce the results.•Disrupted roads, detour roads, and congestion roads can be accurately determined.•GPS data make the estimation of disruption more quickly and the coverage wider.

论文关键词：Highway networks,Disruption,Traffic flows,Congestion,The Bayesian theory,The thrice-standard-error principle

论文评审过程：Received 3 February 2020, Revised 31 July 2021, Accepted 27 September 2021, Available online 2 October 2021, Version of Record 7 October 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115994