Probabilistic Prediction of Trip Travel Time and Its Variability Using Hierarchical Bayesian Learning-Reference-Cited by-同舟云学术

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Probabilistic Prediction of Trip Travel Time and Its Variability Using Hierarchical Bayesian Learning

Published:2023-06 Issue:2 Volume:9 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Mohammadi Sevin¹^ORCID,Olivier Audrey²,Smyth Andrew³^ORCID

Affiliation:

1. Ph.D. Candidate, Dept. of Civil Engineering and Engineering Mechanics, Columbia Univ., New York, NY 10027. ORCID: .

2. Assistant Professor, Sonny Astani Dept. of Civil and Environmental Engineering, Univ. of Southern California, Los Angeles, CA 90089.

3. Professor, Dept. of Civil Engineering and Engineering Mechanics, Columbia Univ., New York, NY 10027 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.RUENG-981

Reference71 articles.

1. An integrated feature learning approach using deep learning for travel time prediction

2. OBD-Data-Assisted Cost-Based Map-Matching Algorithm for Low-Sampled Telematics Data in Urban Environments

3. Permutation importance: a corrected feature importance measure

4. Travel time estimation in the age of big data;Bertsimas D.;Oper. Res.,2019

5. Billings D. and J.-S. Yang. 2006. “Application of the Arima models to urban roadway travel time prediction—A case study.” In Vol. 3 of Proc. IEEE Int. Conf. on Systems Man and Cybernetics 2529–2534. New York: IEEE.

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1. Travel time reliability evaluation using fuzzy-possibility approach: a case study of an Indian city;Transportation Planning and Technology;2024-04-12

2. Bayesian neural networks with physics‐aware regularization for probabilistic travel time modeling;Computer-Aided Civil and Infrastructure Engineering;2023-05-22

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