Integrated ANN-Bayes-based travel time prediction modeling for signalized corridors with probe data acquisition paradigm

作者：

Highlights：

• An integrated ANN-Bayes-Based travel time model on signalized corridors.

• Probe data modeling overcomes limitations of traditional detection data.

• Proof-of-concept study using real-world probe data of US-27 in Ohio.

• The proposed method is adaptive to a scenario of non-recurring congestion.

摘要

•An integrated ANN-Bayes-Based travel time model on signalized corridors.•Probe data modeling overcomes limitations of traditional detection data.•Proof-of-concept study using real-world probe data of US-27 in Ohio.•The proposed method is adaptive to a scenario of non-recurring congestion.

论文关键词：Signalized corridor travel time prediction,ANN-Bayes-based framework,Probe data

论文评审过程：Received 25 September 2021, Revised 5 June 2022, Accepted 27 July 2022, Available online 1 August 2022, Version of Record 5 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118319

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