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

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...

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Autores principales: Nopadon Kronprasert, Chomphunut Sutheerakul, Thaned Satiennam, Paramet Luathep
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/22e060fbb1164ac88813f1caf6fa2508
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spelling oai:doaj.org-article:22e060fbb1164ac88813f1caf6fa25082021-11-25T19:03:51ZIntersection Safety Assessment Using Video-Based Traffic Conflict Analysis: The Case Study of Thailand10.3390/su1322127222071-1050https://doaj.org/article/22e060fbb1164ac88813f1caf6fa25082021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12722https://doaj.org/toc/2071-1050In 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.Nopadon KronprasertChomphunut SutheerakulThaned SatiennamParamet LuathepMDPI AGarticleroad safety analysisintersection safetysurrogate safetytraffic conflict techniquevideo analyticstime-to-collisionEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12722, p 12722 (2021)
institution DOAJ
collection DOAJ
language EN
topic road safety analysis
intersection safety
surrogate safety
traffic conflict technique
video analytics
time-to-collision
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
spellingShingle road safety analysis
intersection safety
surrogate safety
traffic conflict technique
video analytics
time-to-collision
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
Nopadon Kronprasert
Chomphunut Sutheerakul
Thaned Satiennam
Paramet Luathep
Intersection Safety Assessment Using Video-Based Traffic Conflict Analysis: The Case Study of Thailand
description 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.
format article
author Nopadon Kronprasert
Chomphunut Sutheerakul
Thaned Satiennam
Paramet Luathep
author_facet Nopadon Kronprasert
Chomphunut Sutheerakul
Thaned Satiennam
Paramet Luathep
author_sort Nopadon Kronprasert
title Intersection Safety Assessment Using Video-Based Traffic Conflict Analysis: The Case Study of Thailand
title_short Intersection Safety Assessment Using Video-Based Traffic Conflict Analysis: The Case Study of Thailand
title_full Intersection Safety Assessment Using Video-Based Traffic Conflict Analysis: The Case Study of Thailand
title_fullStr Intersection Safety Assessment Using Video-Based Traffic Conflict Analysis: The Case Study of Thailand
title_full_unstemmed Intersection Safety Assessment Using Video-Based Traffic Conflict Analysis: The Case Study of Thailand
title_sort intersection safety assessment using video-based traffic conflict analysis: the case study of thailand
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/22e060fbb1164ac88813f1caf6fa2508
work_keys_str_mv AT nopadonkronprasert intersectionsafetyassessmentusingvideobasedtrafficconflictanalysisthecasestudyofthailand
AT chomphunutsutheerakul intersectionsafetyassessmentusingvideobasedtrafficconflictanalysisthecasestudyofthailand
AT thanedsatiennam intersectionsafetyassessmentusingvideobasedtrafficconflictanalysisthecasestudyofthailand
AT parametluathep intersectionsafetyassessmentusingvideobasedtrafficconflictanalysisthecasestudyofthailand
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