Practical approach to determining traffic congestion propagation boundary due to traffic incidents

Fei, Wenpeng; Song, Guohua; Zhang, Fan; Gao, Yifan; Yu, Lei

doi:10.1007/s11771-017-3443-7

Cited by 10 publications

(6 citation statements)

References 14 publications

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“…Since this road network involves only expressways and collector roads, their correlation models are developed. The relevant parameters and diagrams of the model based on previous research results are shown in Figure 2 ( 30 ).…”

Section: Methodsmentioning

confidence: 99%

“…In a mathematical sense, the solution to the congestion propagation speed is the ratio of the difference in flow rate and difference in density between the congestion state and normal state (Equation 3). Accordingly, two congestion propagation speed models are constructed based on different types of data, the historical traffic and speed-based model, as well as the speed-based model ( 30 ). In this study, a congestion spreading dissipation model constructed in which speed-based data alone is primarily used.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic Evaluation Method for Urban Road Network Resilience Based on Congestion Propagation and Dissipation

Zhang

Song

He³

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Urban road networks are often affected by natural disasters, such as rainstorms, with consequences spreading from partial failures to massive network-wide disruptions. The pattern of road network resilience is grasped by capturing the changes in the failure process of the road network cascade. This research presents a method for dynamic evaluation of road network resilience, with extreme rainstorm weather as the background. The fundamental diagram of traffic flow is adopted into the shock wave model to obtain the congestion propagation and dissipation model with speed as input quantity. Then, it is networked and applied to the road network to develop a cascading failure model. The model can be used to identify critical nodes, combining the Monte Carlo method and Dijkstra algorithm, as well as to construct time-varying evolution scenarios of road network resilience when critical nodes are broken. Furthermore, VA (the variations of all OD pairs in the road network) and RI (the resilience indicators of road network) indexes for dynamic evaluation of road network resilience are developed, that visualize the resilience of the road network for a specific region, a specific event, and a specific time. In the case study, the proposed method is employed to evaluate the resilience of the urban road network under a real case of the Zhengzhou 720 rainstorm in China, and its practicality is verified.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Dynamic Evaluation Method for Urban Road Network Resilience Based on Congestion Propagation and Dissipation

Zhang

Song

He³

et al. 2023

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

show abstract

“…Younes [8] used Internet of vehicles technology to analyze traffic volume, speed, and travel time, and a congestion detection algorithm was proposed to explore the evolution process of congestion with travel time. Fei [9] proposed a practical approach for predicting the congestion boundary due to traffic incidents. Each road type's essential congestion propagation speed was calculated using remote traffic microwave sensors and floating vehicle data systems to capture the congestion propagation characteristics in the existing road network.…”

Section: Introductionmentioning

confidence: 99%

Extraction of Catastrophe Boundary and Evolution of Expressway Traffic Flow State

Liu

Song

et al. 2022

Applied Sciences

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As the main road type in an urban traffic system, the increasingly severe congestion of the expressway restricts social and economic development. It is essential to explore the evolution law of congestion and dissipation to ensure the efficient operation of the expressway. In order to accurately grasp the evolution law of the expressway traffic flow state, this paper selects the expressway weaving section, which is a traffic flow frequency-changing area, to study the traffic operation state, change process, and evolution law, and determine the traffic state discrimination standard. The simulation analysis was carried out using the traffic simulation platform, Vissim software. The simulation results showed an apparent catastrophe phenomenon in the mutual transformation between free and congestion flow. The spectral clustering analysis algorithm was used to accurately extract the boundary of traffic state mutation, combined with the cusp catastrophe theory, to study and analyze the traffic flow state at different times and positions, thus completely displaying the evolution characteristics of traffic flow state. The research results provide an essential theoretical basis for formulating control measures of expressway traffic flow and strategies for traffic congestion dissipation.

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“…Incidents refer to all the events such as accidents, dropped cargo, road construction, illegal temporary parking, and train passing, which affect (or may affect) the capacity of the road and hinder smooth traffic flow. If incidents occur at an intersection, vehicle queuing will occur, which will indirectly result in the time resources waste [1]. Secondary accidents may also occur in accidental areas [2].…”

Section: Introductionmentioning

confidence: 99%

“…When vehicles queue up to the upstream intersection, the congestion will inevitably diffuse to adjacent intersections and worsen the situation [4]. e network gridlock may arise in severe cases [1]. ere are two main ways of dealing the urban road network problems in emergency incidents.…”

Section: Introductionmentioning

confidence: 99%

Signal Timing Optimization Model for Intersections in Traffic Incidents

Wang

Hang

Zhou

2020

Journal of Advanced Transportation

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The intersection control and management can alleviate the traffic congestion caused by traffic incidents. Therefore, it becomes essential to develop a signal optimization method for intersections influenced by traffic incidents, which will be beneficial to prevent congestion spreading. In this paper, the proposed model is capable of maximizing the intersection throughput by comprehensively considering the queue length as the penalty value. The headway of leaving vehicles is assumed to follow the Cowan’s M3 headway distribution, where formulas for queue length can be derived based on gap acceptance theory. To satisfy the conditions for efficiently identifying feasible solutions in a short time, a heuristic algorithm (simulated annealing algorithm) is employed to solve the model. The numerical results can validate that the proposed method can solve the problem more efficiently and alleviate the intersection congestion caused by the incidents more desirably. When the incident occurs away from the intersection stop line, the impacts on intersection throughput will be gradually weakened. The proposed method is capable of improving the signalized intersection throughput while preventing the congestion from spreading to the upstream intersection.

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Practical approach to determining traffic congestion propagation boundary due to traffic incidents

Cited by 10 publications

References 14 publications

Dynamic Evaluation Method for Urban Road Network Resilience Based on Congestion Propagation and Dissipation

Dynamic Evaluation Method for Urban Road Network Resilience Based on Congestion Propagation and Dissipation

Extraction of Catastrophe Boundary and Evolution of Expressway Traffic Flow State

Signal Timing Optimization Model for Intersections in Traffic Incidents

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