Volume 41 Issue 1
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ZHANG Chi, ZHOU Yuming, ZHANG Min, LUO Yuwei, CHEN Jiale. A Method for Identifying Traffic Congestion Resulting from Accidents on Freeways[J]. Journal of Transport Information and Safety, 2023, 41(1): 23-33. doi: 10.3963/j.jssn.1674-4861.2023.01.003
Citation: ZHANG Chi, ZHOU Yuming, ZHANG Min, LUO Yuwei, CHEN Jiale. A Method for Identifying Traffic Congestion Resulting from Accidents on Freeways[J]. Journal of Transport Information and Safety, 2023, 41(1): 23-33. doi: 10.3963/j.jssn.1674-4861.2023.01.003
shu

A Method for Identifying Traffic Congestion Resulting from Accidents on Freeways

doi: 10.3963/j.jssn.1674-4861.2023.01.003
  • 1.

    School of Highway, Chang'an University, Xi'an 710064, China

  • 2.

    School of Transportation Engineering, Chang'an University, Xi'an 710064, China

  • 3.

    Shenzhen Expressway Corporation Limited, Shenzhen 518057, Guangdong, China

  • Received Date: 2022-05-10
    Available Online: 2023-05-13
    Abstract
  • Based on the reliability of travel time, a method for identifying traffic congestion resulting from accidents is proposed, in order to quantitatively study how random congestion takes place on freeway sections and how congestion evolves under various traffic accidents. A model based on the method for studying the reliability of travel-time outlined in the Highway Capacity Manual is developed, which is calibrated based on observed data from a section of a freeway in Southwest China. A Monte Carlo simulation method is adopted to simulate various traffic accident scenarios. These traffic accidents are featured by four characteristics: location, severity, duration, and frequency. The mechanism that traffic congestion takes place and evolves is investigated and travel time index is used to represent the level of congestion on freeway sections under different traffic accidents. Study results show that ①The method presented in the Highway Capacity Manual is portable. ②When traffic volume is closed to saturation, the impact of traffic accidents taking place at the off-ramp sections is higher than those occur in the basic and on-ramp sections, and their impact is much higher under the single-lane closure scenario than that under the shoulder-closure scenario. ③When the traffic flow is close to free flow, the congestion is not sensitive to the accident severity. ④ Congestion would increase dramatically under the single-lane closure scenario when the accident lasts for more than 15 minutes at any traffic volume level. The proposed method for identifying traffic congestion can contribute to detailed exploration of the congestion patterns resulting from traffic accidents as well as classification of the congestion of freeway sections, which shall provide theoretical support to the accident management of relevant highway and transportation departments.

     

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