Machine learning based real-time prediction of freeway crash risk using crowdsourced probe vehicle data-Reference-Cited by-同舟云学术

Machine learning based real-time prediction of freeway crash risk using crowdsourced probe vehicle data

Published:2022-08-09 Issue: Volume: Page:1-19
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Zhang Zihe¹^ORCID,Nie Qifan²^ORCID,Liu Jun³^ORCID,Hainen Alex³,Islam Naima⁴,Yang Chenxuan¹

Affiliation:

1. Graduate Research Assistant, Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL

2. Postdoctoral Research Associate, Alabama Transportation Institute, The University of Alabama, Tuscaloosa, AL

3. Assistant Professor, Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL

4. Visiting Research Scholar, Alabama Transportation Institute, The University of Alabama, Tuscaloosa, AL

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/10.1080/15472450.2022.2106564

Reference51 articles.

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2. Real-time crash prediction in an urban expressway using disaggregated data

3. Bishop, C. M. (2006). Pattern recognition and machine learning.

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