Academic Journal of Engineering and Technology Science, 2020, 3(6); doi: 10.25236/AJETS.2020.030614.
Chen Bo1, Wang Zhipeng2, Li Yaqi3, Li Chang2
1. School of Civil Engineering, Chongqing Jiaotong University, 400074, China
2. Hehai College, Chongqing Jiaotong University, Chongqing, 400074, China
3. Chongqing Isuzu Automobile. 400052, China
V2X technology is a wireless technology based on the Internet of Things, and is mainly used to improve road safety and traffic management. It is one of the key technologies of intelligent transportation systems. It can realize mutual communication between vehicles and everything, thereby obtaining instant traffic information. Pavement management system is based on practical experience, including road quality, damage condition, the reflection of structure, driving safety, fatigue, deformation, cracking, aging characteristics of pavement materials, etc., and technical and economical based on collected road information A quick tool for analysis. In the traditional road management system, road information collection mainly relies on road detection vehicles and manual detection methods, which have the disadvantages of low efficiency, high cost and poor accuracy. The application of road intelligent detection in road management systems based on V2X technology proposed in this paper can replace Traditional manual detection and automatic detection vehicles collect instant data such as the damage and flatness of the corresponding road surface according to the driving trajectory of the vehicle on the road and the sensor device, and transmit the road surface information to the database for big data analysis through wireless transmission technology And according to the corresponding evaluation standards to evaluate the pavement performance.
Pavement management system, V2x technology, Intelligent detection, Big data analysis
Chen Bo, Wang Zhipeng, Li Yaqi, Li Chang. Application Analysis of Intelligent Traffic Based on V2x Technology in Pavement Management System. Academic Journal of Engineering and Technology Science (2020) Vol. 3 Issue 6: 131-142. https://doi.org/10.25236/AJETS.2020.030614.
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