Effect of vehicle size on crash risk in a heterogeneous traffic scenario: a bivariate extreme value approach-Reference-Cited by-同舟云学术

Effect of vehicle size on crash risk in a heterogeneous traffic scenario: a bivariate extreme value approach

Published:2023-02-05 Issue: Volume: Page:1-16
ISSN:1942-7867
Container-title:Transportation Letters
language:en
Short-container-title:Transportation Letters

Author:

Kumar Ashutosh¹^ORCID,Mudgal Abhisek¹^ORCID

Affiliation:

1. Department of Civil Engineering, Indian Institute of Technology (BHU), Varanasi, India

Funder

funding

Publisher

Informa UK Limited

Subject

Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/19427867.2023.2171843

Reference79 articles.

1. Understanding the Dynamics of Heavy Vehicle Interactions in Car-Following

2. Aghabayk, K., W. Young, M. Sarvi, and Y. Wang. 2011. “Examining Vehicle Interactions during a vehicle-following Manoeuvre.” ATRF 2011-34th Australasian Transport Research Forum, 2020(September 2011), pp. 1–14.

3. A bivariate extreme value model for estimating crash frequency by severity using traffic conflicts

4. A systematic mapping review of surrogate safety assessment using traffic conflict techniques

5. Driving behaviour modelling in the context of heterogeneous traffic and poor lane discipline conditions: the state of the art and beyond

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1. Defining Traffic Conflict in Nonlane-Based Traffic Conditions: An Extreme Value Approach;Journal of Transportation Engineering, Part A: Systems;2024-09

2. Evaluating the crash risk of powered two-wheelers in urban mixed traffic environments: a conflict threshold perspective;International Journal of Injury Control and Safety Promotion;2024-04-22

3. Risk assessment of rear-end crashes by incorporating vehicular heterogeneity into Bayesian hierarchical extreme value models;Transportmetrica B: Transport Dynamics;2024-03

4. Examining the effect of vehicle type on right-turn crossing conflicts of minor road traffic at unsignalized T-intersections;IATSS Research;2023-12