Bayesian Regression Approach to Estimate Speed Threshold under Uncertainty for Traffic Breakdown Event Identification-Reference-Cited by-同舟云学术

Bayesian Regression Approach to Estimate Speed Threshold under Uncertainty for Traffic Breakdown Event Identification

Published:2019-05 Issue:5 Volume:145 Page:04019013
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Kidando Emmanuel¹,Moses Ren²,Sando Thobias³

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, FAMU-FSU College of Engineering, Florida State Univ., 2525 Pottsdamer St., Tallahassee, FL 32310 (corresponding author).

2. Professor, Dept. of Civil and Environmental Engineering, FAMU-FSU College of Engineering, Florida State Univ., 2525 Pottsdamer St., Tallahassee, FL 32310.

3. Professor, School of Engineering, Univ. of North Florida, 1 UNF Dr., Jacksonville, FL 32224.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/JTEPBS.0000217

Reference41 articles.

1. Bhagat A. J.-D. Saphores and R. Jayakrishnan. 2017. “Detecting changes in accident rates using a hierarchical Bayesian approach: An application to the I-710 and the implementation of the PierPASS program.” In Proc. Transportation Research Board Annual Meeting. Washington DC: Transportation Research Board.

2. Breakdown maturity phenomenon at Wisconsin freeway bottlenecks;Dehman A.;Transp. Res. Rec.,2013

3. Predicting flow breakdown probability and duration in stochastic network models: Impact on travel time reliability;Dong J.;Transp. Res. Rec.,2009

4. Predicting impacts of intelligent transportation systems on freeway queue discharge flow variability;Dowling R.;Transp. Res. Rec.,2008

5. Elfar A. A. Talebpour and S. H. Mahmassani. 2018. “Machine learning approach to short-term traffic congestion prediction in a connected environment.” In Proc. Transportation Research Board Annual Meeting. Washington DC: Transportation Research Board.

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An efficient variational Bayesian algorithm for calibrating fundamental diagrams and its probabilistic sensitivity analysis;Transportmetrica B: Transport Dynamics;2023-07-07

2. A comparative study of collision types between automated and conventional vehicles using Bayesian probabilistic inferences;Journal of Safety Research;2023-02

3. Probabilistic traffic breakdown forecasting through Bayesian approximation using variational LSTMs;Transportmetrica B: Transport Dynamics;2023-01-12

4. Associating Incident Clearance Duration with Freeway Segment Types Using Hierarchical Bayesian Survival Model;Journal of Transportation Engineering, Part A: Systems;2023-01

5. Impacts of COVID-19 on the Operational Performance of Express Lanes and General-Purpose Lanes;Transportation Research Record: Journal of the Transportation Research Board;2022-10-10