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Enhancing Intersection Safety at Uncontrolled Three-Legged Intersections Through Assessment of Risk

Lookup NU author(s): Emerita Professor Margaret Carol Bell CBE, Dr Dilum Dissanayake

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2025 The Author(s). IET Intelligent Transport Systems published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.The accepted gap—the time or distance a driver deems sufficient to enter or cross an intersection—is a key indicator of traffic risk, particularly at uncontrolled three-legged intersections. Smaller accepted gaps are linked to higher risk due to an increased chance of vehicle conflicts. This study investigates the relationship between accepted gaps and risk and proposes a method to quantify the level of risk and severity (LORS) to guide targeted safety interventions. Data on vehicle speed, accepted gap and critical gap were collected from six rural intersections in India. Using a binary logit regression model and clustering techniques, the LORS was estimated and validated against actual accident data, yielding a predictive accuracy of up to 83%. The significance of this study lies in its novel data-driven approach to safety assessment using parameters easily measured in the field. Designed for heterogeneous traffic conditions, the method provides traffic engineers and planners with a practical tool to assess intersection safety, recommend specific remedial measures and prioritise interventions based on risk and severity levels. With potential for automation and scalability, this research contributes to the development of safer road systems, particularly in low-resource settings where conventional crash data is limited or unavailable.


Publication metadata

Author(s): Bhatt K, Shah J, Bell MC, Dissanayake D

Publication type: Article

Publication status: Published

Journal: IET Intelligent Transport Systems

Year: 2025

Volume: 19

Issue: 1

Print publication date: 01/01/2025

Online publication date: 10/07/2025

Acceptance date: 30/06/2025

Date deposited: 28/07/2025

ISSN (print): 1751-956X

ISSN (electronic): 1751-9578

Publisher: John Wiley and Sons Inc

URL: https://doi.org/10.1049/itr2.70062

DOI: 10.1049/itr2.70062

Data Access Statement: The data supporting the findings of this study will be made available by the authors upon reasonable request.


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