Bayesian network for red-light-running prediction at signalized intersections-Reference-Cited by-同舟云学术

Bayesian network for red-light-running prediction at signalized intersections

Published:2018-10-17 Issue:2 Volume:23 Page:120-132
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Chen Xiqun (Michael)¹,Zhou Lingxiao¹,Li Li²

Affiliation:

1. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China;

2. Department of Automation, Tsinghua University, Beijing, China

Funder

Zhejiang Provincial Natural Science Foundation of China

National Natural Science Foundation of China

Key Research and Development Program of Zhejiang

Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2018.1486192

Reference23 articles.

1. Red-light running traffic violations: A novel time-based method for determining a fine structure

2. Prediction of Expected Red-Light-Running Frequency at Urban Intersections

3. Estimation of red-light running frequency using high-resolution traffic and signal data

4. A gradient boosting logit model to investigate driver’s stop-or-run behavior at signalized intersections using high-resolution traffic data

5. Classification analysis of driver's stop/go decision and red-light running violation

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