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Intersection Safety Assessment Using Video-Based Traffic Conflict Analysis: The Case Study of Thailand

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  • Nopadon Kronprasert

    (Excellence Center in Infrastructure Technology and Transportation Engineering (ExCITE), Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand
    Department of Civil Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Chomphunut Sutheerakul

    (Excellence Center in Infrastructure Technology and Transportation Engineering (ExCITE), Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Thaned Satiennam

    (Department of Civil Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Paramet Luathep

    (Department of Civil and Environmental Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla 90110, Thailand)

Abstract

In the road transport network, intersections are among the most critical locations leading to a risk of death and serious injury. The traditional methods to assess the safety of intersections are based on statistical analyses that require crash data. However, such data may be under-reported and omit important crash-related factors. The conventional approaches, therefore, are not easily applied to making comparisons of intersection designs under different road classifications. This study developed a risk-based approach that incorporates video-based traffic conflict analysis to investigate vehicle conflicts under mixed traffic conditions including motorcycles and cars in Thailand. The study applied such conflict data to assess the risk of intersections in terms of time-to-collision and conflict speed. Five functional classes of intersections were investigated, including local-road/local-road, local-road/collector, collector/arterial, collector/collector, and arterial/arterial intersections. The results showed that intersection classes, characteristics, and control affect the behavior of motorists and the safety of intersections. The results found that the low-order intersections with stop/no control are high risks due to the short time-to-collision of motorcycle-related conflicts. They generate frequent conflicts with low chance of injury. The high-order intersections with signal control are high risks due to high conflicting speeds of motorcycle–car conflicts. They generate few conflicts but at a high chance of injury. The study presents the applicability of video-based traffic conflict analysis for systematically estimating the crash risk of intersections. The risk-based approach can be deemed as a supplement indicator in addition to limited crash data to evaluate the safety of intersections. However, future research is needed to explore the potential of other road infrastructure under different circumstances.

Suggested Citation

  • Nopadon Kronprasert & Chomphunut Sutheerakul & Thaned Satiennam & Paramet Luathep, 2021. "Intersection Safety Assessment Using Video-Based Traffic Conflict Analysis: The Case Study of Thailand," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12722-:d:681292
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    References listed on IDEAS

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    1. Lynn Scholl & Mohamed Elagaty & Bismarck Ledezma-Navarro & Edgar Zamora & Luis Miranda-Moreno, 2019. "A Surrogate Video-Based Safety Methodology for Diagnosis and Evaluation of Low-Cost Pedestrian-Safety Countermeasures: The Case of Cochabamba, Bolivia," Sustainability, MDPI, vol. 11(17), pages 1-22, August.
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