<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>With the evolution of better highway services and larger traffic volume, the traditional maintenance management indicators can no longer satisfy the demands of highway traffic safety. In order to ensure timely, fast, safe, and reliable highway maintenance and repair, this paper proposes a road traffic safety maintenance evaluation method. The fuzzy maintenance evaluation method based on the gray correlation degree is used to construct the safety maintenance evaluation model. The damaged characteristics of the high-grade highway components are analysed. The parameters of the evaluation model are established using the analytic hierarchy process, and the accuracy of the model is verified through experiments. The results show that the safety service level can intuitively measure the maintenance and repair status of various transportation facilities. When the safety level is 1 (above 87 points) or 2 (above 85 points), the road maintenance and repair are in good condition and the road users have a high level of satisfaction on safety; when the safety level is 3 or 4 (80 points or less), it reflects that there are weak links in the road components, and targeted maintenance repairs are required. The results provide references for highway safety maintenance decision-making and improvement of highway traffic safety services to some extent.</p>
</abstract>

With the evolution of better highway services and larger traffic volume, the traditional maintenance management indicators can no longer satisfy the demands of highway traffic safety. In order to ensure timely, fast, safe, and reliable highway maintenance and repair, this paper proposes a road traffic safety maintenance evaluation method. The fuzzy maintenance evaluation method based on the gray correlation degree is used to construct the safety maintenance evaluation model. The damaged characteristics of the high-grade highway components are analysed. The parameters of the evaluation model are established using the analytic hierarchy process, and the accuracy of the model is verified through experiments. The results show that the safety service level can intuitively measure the maintenance and repair status of various transportation facilities. When the safety level is 1 (above 87 points) or 2 (above 85 points), the road maintenance and repair are in good condition and the road users have a high level of satisfaction on safety; when the safety level is 3 or 4 (80 points or less), it reflects that there are weak links in the road components, and targeted maintenance repairs are required. The results provide references for highway safety maintenance decision-making and improvement of highway traffic safety services to some extent.

Evaluation Method of Traffic Safety Maintenance of High-Grade Highway

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Evaluation Method of Traffic Safety Maintenance of High-Grade Highway"}

With the evolution of better highway services and larger traffic volume, the traditional maintenance management indicators can no longer satisfy the demands of...

Evaluation Method of Traffic Safety Maintenance of High-Grade Highway

Publié en ligne: 25 févr. 2021

Pages: 65 - 80

Reçu: 01 sept. 2020

Accepté: 21 déc. 2020

DOI: https://doi.org/10.2478/amns.2021.1.00007

Mots clés
Traffic safety maintenance, gray correlation degree, safety service level

© 2021 Ying Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Evaluation Method of Traffic Safety Maintenance of High-Grade Highway

Publié en ligne: 25 févr. 2021

Pages: 65 - 80

Reçu: 01 sept. 2020

Accepté: 21 déc. 2020

DOI: https://doi.org/10.2478/amns.2021.1.00007

Mots clésTraffic safety maintenance, gray correlation degree, safety service level

© 2021 Ying Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Traffic safety maintenance, gray correlation degree, safety service level