Study on Evaluation of Cooperative Vehicle Infrastructure System Roadside Facilities based on the Analytic Hierarchy Process
- DOI
- 10.2991/978-94-6463-504-1_21How to use a DOI?
- Keywords
- Cooperative vehicle Infrastructure system; Roadside facilities; evaluation method; Indicator system
- Abstract
In this study, we established a fuzzy evaluation model for the deployment of vehicle road collaborative roadside equipment based on the Analytic Hierarchy Process. By selecting evaluation indicators, determining the weights of each indicator, and establishing an evaluation set, we established a multi-level indicator system. On the basis of fuzzy mathematics, we used the fuzzy comprehensive evaluation method to introduce in detail the fuzzy comprehensive evaluation method for the deployment of vehicle road collaborative roadside equipment. The research content is conducive to the development and promotion of vehicle road collaborative systems in China, and is of great significance for improving road traffic safety and efficiency, as well as achieving sustainable development of road traffic systems.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - RuiQi Luo AU - Yan Wu PY - 2024 DA - 2024/08/31 TI - Study on Evaluation of Cooperative Vehicle Infrastructure System Roadside Facilities based on the Analytic Hierarchy Process BT - Proceedings of the 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024) PB - Atlantis Press SP - 220 EP - 227 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-504-1_21 DO - 10.2991/978-94-6463-504-1_21 ID - Luo2024 ER -