Driving risk identification of urban arterial and collector roads based on multi-scale data

Yan, Xintong; He, Jie; Wu, Guanhe; Sun, Shuang; Wang, Chenwei; Fang, Zhiming; Zhang, Changjian

doi:10.1016/j.aap.2024.107712

Accident Analysis & Prevention

2024

DOI: 10.1016/j.aap.2024.107712

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Driving risk identification of urban arterial and collector roads based on multi-scale data

Xintong Yan,

Jie He,

Guanhe Wu

et al.

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2024

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Cited by 2 publications

References 73 publications

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An evolutionary game study of traffic safety risk regulation considering public participation behavior

Liu,

Huang,

et al. 2024

Sci Rep

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With the development of transportation technology, the improvement of transportation efficiency also increases the complexity and diversity of traffic safety risks; the public’s concern for traffic safety risks is increasing, and the traditional regulatory model is difficult to meet the improvement of the effectiveness of the safety regulation of the huge transportation network and the public’s changing safety needs. In order to enhance the effectiveness of safety regulation, a game model of safety risk regulation among the public, transport enterprises, and regulators is constructed to simulate the effects of different traffic risks, penalty levels, and exposure rates on the behavior of transport enterprises and regulators. The results of the study show that: traffic risk has a positive facilitating effect on the participation of transport enterprises and the public in the regulation of safety risks, which will accelerate the process of stabilization of their strategies; transport enterprises have a high sensitivity to changes in the level of punishment, and only when the level of punishment exceeds a certain threshold will they be able to promote the choice of complying with the transport; and a higher exposure will lead to a greater tendency for transport enterprises to choose complying with the transport.

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An evolutionary game study of traffic safety risk regulation considering public participation behavior

Liu,

Huang,

et al. 2024

Sci Rep

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Grading of Traffic Interruptions in Highways to Tibet Based on the Entropy Weight-TOPSIS Method and Fuzzy C-Means Clustering Algorithm

Tian,

Li,

Zhuang

et al. 2024

Applied Sciences

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The interruption of transportation on the way to Tibet has brought great losses to the Tibetan region. The work proposed a model that integrated the entropy weight-TOPSIS method with the fuzzy C-means clustering algorithm to discuss the causes and characteristics of traffic interruptions on the four main highways to Tibet. This approach aimed to quantify and grade traffic interruption states. First, the entropy weight-TOPSIS method was used to mitigate dimensions among various indices and quantitatively evaluate the status values of traffic interruptions. Then, the fuzzy C-means clustering algorithm was employed to grade these values. The proposed model graded traffic interruption states into four levels by evaluating the duration, mileage, and severity of traffic interruptions. Moreover, the four-level classification scheme can reflect the severity of traffic blocking events more precisely while maintaining a lower PE (Partition Entropy) value. In the four-level classification, the Sichuan–Tibet Highway and Xinjiang–Tibet Highway experienced more level-3 and level-4 serious interruptions, while most high-level interruptions on the Qinghai–Tibet Highway were classified as level-2 ordinary interruptions. The Yunnan–Tibet Highway, with limited data and primarily level-1 classification, was not analyzed in detail. These findings provide a reference for highway management departments to formulate targeted maintenance and emergency measures, especially the Sichuan–Tibet highway, which needs more attention and resource investment to improve its disaster resistance and reduce the impact of traffic interruptions.

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Driving risk identification of urban arterial and collector roads based on multi-scale data

Cited by 2 publications

References 73 publications

An evolutionary game study of traffic safety risk regulation considering public participation behavior

An evolutionary game study of traffic safety risk regulation considering public participation behavior

Grading of Traffic Interruptions in Highways to Tibet Based on the Entropy Weight-TOPSIS Method and Fuzzy C-Means Clustering Algorithm

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