Modeling vehicle collision instincts over road midblock using deep learning-Reference-Cited by-同舟云学术

Modeling vehicle collision instincts over road midblock using deep learning

Published:2021-12-14 Issue: Volume: Page:1-15
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Patil Shubham¹^ORCID,Raju Narayana²^ORCID,Arkatkar Shriniwas S.¹^ORCID,Easa Said³^ORCID

Affiliation:

1. Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India

2. Transport & Planning Department, CiTG, Delft University of Technology (TU Delft), Delft, Netherlands

3. Department of Civil Engineering, Ryerson University, Toronto, Canada

Funder

MITACS Global Research Award

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/10.1080/15472450.2021.2014833

Reference65 articles.

1. Crash Risk Assessment Using Intelligent Transportation Systems Data and Real-Time Intervention Strategies to Improve Safety on Freeways

2. Safety evaluation of connected and automated vehicles in mixed traffic with conventional vehicles at intersections

3. Modeling Duration of Lateral Shifts in Mixed Traffic Conditions

4. Developing a New Surrogate Safety Indicator Based on Motion Equations

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