Does random slope hierarchical modeling always outperform random intercept counterpart? Accounting for unobserved heterogeneity in a real-time empirical analysis of critical crash occurrence-Reference-Cited by-同舟云学术

Does random slope hierarchical modeling always outperform random intercept counterpart? Accounting for unobserved heterogeneity in a real-time empirical analysis of critical crash occurrence

Published:2022-03-11 Issue:2 Volume:15 Page:177-214
ISSN:1943-9962
Container-title:Journal of Transportation Safety & Security
language:en
Short-container-title:Journal of Transportation Safety & Security

Author:

Khoda Bakhshi Arash¹^ORCID,Ahmed Mohamed M.¹^ORCID

Affiliation:

1. Department of Civil & Architectural Engineering, University of Wyoming, Laramie, Wyoming, USA

Funder

U.S. Department of Transportation Connected Vehicle Pilot Deployment Program

Wyoming Department of Transportation

the USDOT CV Pilot Deployment Program

the WYDOT

Publisher

Informa UK Limited

Subject

Safety Research,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/19439962.2022.2048761

Reference88 articles.

1. Safety Impact of Connected Vehicles on Driver Behavior in Rural Work Zones under Foggy Weather Conditions

2. Assessment of Interaction of Crash Occurrence, Mountainous Freeway Geometry, Real-Time Weather, and Traffic Data

3. Performance evaluation framework of Wyoming connected vehicle pilot deployment program: summary of Phase 2 pre-deployment efforts and lessons learned

4. A note on modeling vehicle accident frequencies with random-parameters count models

5. A study of factors affecting highway accident rates using the random-parameters tobit model

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