Incorporating multiple congestion levels into spatiotemporal analysis for the impact of a traffic incident

Zheng, Zhenjie; Xin, Qi; Wang, Zhengli; Ran, Bin

doi:10.1016/j.aap.2021.106255

Cited by 13 publications

(3 citation statements)

References 36 publications

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“…Through the range length of the three levels, the congestion degree of each level range can be reflected laterally, and the evolution process of accident influence can be clarified more carefully. Secondly, this paper has developed an improved Gaussian smoke model to determine the influence range of the accident, which is not limited to calculating the influence range of the accident road, but also integrates the cascading failure effect of the intersecting road into the influence range calculation model, so as to more accurately determine the impact degree of the accident on the upstream adjacent road network [39]. Thirdly, beyond attention to the maximum queue length after the accident (first-level influence range), that is, beyond the basis of queuing theory calculation, the ultimate influence of the accident source point on the road network is included in the model.…”

Section: Discussionmentioning

confidence: 99%

“…The difference in the adjustment coefficient reflects the difference in the propagation of traffic accidents in different influence levels on the road, and accurately reflects the heterogeneity of the spatial propagation of accidents [21]. Finally, the different levels of accidents are closely related to traffic flow and speed, that is, according to the grade of road congestion at different levels, traffic managers can take targeted and effective measures respectively for the three accident influence levels to accelerate the congestion evacuation and reduce the negative impact of traffic accidents [17,39]. For example, for a section with a large first-level impact range, accident warning signs can be set up in advance at an upstream intersection near the third-level impact range, and vehicles can be guided to other roads nearby to minimize the input of traffic flow in the accident section [2].…”

Section: Discussionmentioning

confidence: 99%

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Ellipse-Like Radiation Range Grading Method of Traffic Accident Influence on Mountain Highways

Wang

Long

et al. 2022

Sustainability

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To improve the efficiency of accident treatment on mountain highways and reduce the degree of disruption from traffic accidents, the grading method of the ellipse-like radiation range of traffic accident impact is proposed. First, according to the propagation law of traffic accidents, the general function of mountain highways affected by traffic accidents was constructed based on the Gaussian plume model. Then, based on the gravity field theory, the influence of the accident source point on the accident road was analyzed in the aftermath of a supposed accident. Additionally, considering the cascading failure of the road network, the influence of the accident-intersecting roads was demarcated by the cascading failure load propagation function. Based on this analysis, the ellipse-like radiation range models of traffic accidents on the accident road and the intersecting roads were proposed, respectively. Next, the adjustment parameter was further introduced to incorporate the different levels of influence of traffic accidents on the surrounding road network into the model, and the grading impacts of the accident on the potentially utilized opposite lane were discussed. Finally, according to the queuing theory model, simulation design, and portability analysis, the accuracy of the ellipse-like radiation range grading model was verified. The research results show that, compared with queuing theory and simulation results, the error of the grading model of the ellipse-like radiation range affected by traffic accidents was within a reasonable range; that is, the model can reasonably quantify the difference of traffic accident propagation on the accident road and the intersecting roads. Moreover, the heterogeneity of traffic accident propagation was verified by taking the non-occupied opposite lanes as an example. The grading method of influence radiation range utilized for traffic accidents on mountain highways can quickly provide corresponding auxiliary decision support for accident rescue within varying influence ranges.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Ellipse-Like Radiation Range Grading Method of Traffic Accident Influence on Mountain Highways

Wang

Long

et al. 2022

Sustainability

View full text Add to dashboard Cite

show abstract

“…If the roads around the accident cannot bear the trafc fow that changes the travel route due to the unexpected accident, new congestion will occur. With the increase in accident duration, the scope of trafc congestion will gradually expand [5,6]. Terefore, the study of the route choice behavior of travelers is necessary to improve the efciency of emergency organization [7,8] and ease the road congestion caused by unexpected accidents.…”

Section: Introductionmentioning

confidence: 99%

Modeling the Traveler’s Route Choice Behavior under Unexpected Accidents

Zhu

Shi

Cui

et al. 2023

Journal of Advanced Transportation

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To investigate the route choice behavior of travelers under unexpected accidents, this study designs four different scenarios of travelers’ route choice behavior experiments according to the severity of unexpected accidents. The bounded rationality characteristics of travelers, such as the time perception difference coefficient, psychological threshold effect coefficient, and scale effect, are introduced into the generalized random regret minimization (GRRM) model. An improved generalized random regret minimization (IGRRM) model is constructed based on travelers’ route choice behavior under unexpected accidents. The collected data of travelers’ route choice results under four different congestion-level scenarios are analyzed by the IGRRM model. The study finds that with the increase in congestion level, travelers are more willing to change the route; during the commute, travelers tend to choose the route with less travel time and angular cost; in the moderate and serious congestion scenarios, travelers no longer reject the detour route; attribute perception difference, scale effect, and psychological threshold effect; affect travelers’ route choice behavior. The IGRRM model based on the route choice behavior of travelers can more accurately characterize the route choice behavior of travelers under unexpected accidents, provide a basis for traffic flow distribution under unexpected accidents, and benefit traffic management departments to take traffic control and guidance measures to ease the traffic congestion caused by unexpected accidents.

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Spatiotemporal Analysis for the Impact of Traffic Incidents: Optimization Models Consistent with the Propagation of Shockwaves

Wang,

Zheng

2024

Disruptive Technologies and Optimization Towards Industry 4.0 Logistics

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Incorporating multiple congestion levels into spatiotemporal analysis for the impact of a traffic incident

Cited by 13 publications

References 36 publications

Ellipse-Like Radiation Range Grading Method of Traffic Accident Influence on Mountain Highways

Ellipse-Like Radiation Range Grading Method of Traffic Accident Influence on Mountain Highways

Modeling the Traveler’s Route Choice Behavior under Unexpected Accidents

Spatiotemporal Analysis for the Impact of Traffic Incidents: Optimization Models Consistent with the Propagation of Shockwaves

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