2023
DOI: 10.1061/jtepbs.teeng-7275
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Effect of Construction Work Zone on Rear-End Conflicts by Vehicle Type under Heterogeneous Traffic Conditions

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Cited by 4 publications
(1 citation statement)
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“…Bidkar et al used a machine learning method to analyze traffic conflicts in work zones and non-work zones under different traffic conditions. They found that changes in speed and acceleration were primary reasons for traffic conflict, and conflict probability can be effectively reduced by changing the transition area length and increasing the angle between the vehicles [15]. Therefore, clarifying the impact of transition areas on traffic and driving behavior characteristics in work zones, and determining the optimal length and layout of transition areas, represent the foundations for improving traffic efficiency and ensuring traffic safety.…”
Section: Introductionmentioning
confidence: 99%
“…Bidkar et al used a machine learning method to analyze traffic conflicts in work zones and non-work zones under different traffic conditions. They found that changes in speed and acceleration were primary reasons for traffic conflict, and conflict probability can be effectively reduced by changing the transition area length and increasing the angle between the vehicles [15]. Therefore, clarifying the impact of transition areas on traffic and driving behavior characteristics in work zones, and determining the optimal length and layout of transition areas, represent the foundations for improving traffic efficiency and ensuring traffic safety.…”
Section: Introductionmentioning
confidence: 99%