With the increasing number of private cars, traffic accidents are becoming more and more common in people’s life safety. With the rapid development of modern automobile industry technology, sensor technology and wireless communication technology, the new product computing network model is changing from concept to reality. The emergence of the vehicle Internet provides an opportunity to accurately and calmly understand the dangers of traffic congestion. Therefore, 5G anti-collision system is used in this paper. In the research, this paper mainly studies the establishment of the vehicle anti-collision system architecture and software and hardware implementation methods. Taking the long-term anti-collision system between vehicles as the research object, the network of vehicle to vehicle and vehicle to road is established. The fuzzy PID control algorithm is used to establish a secure remote computing model based on Internet to avoid collision between vehicles. The experimental results show that the anti-collision warning system for the vehicle anti-collision effect accuracy is very high. In the case of vehicle to vehicle communication, the anti-collision warning system can quickly adjust the appropriate operation according to the different conditions of the front vehicle to prevent vehicle collision.


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    Title :

    Application of Anti-collision Early Warning System for 5G Internet of Vehicles


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Hung, Jason C. (editor) / Chang, Jia-Wei (editor) / Pei, Yan (editor) / Wu, Wei-Chen (editor) / Wang, Rongxia (author) / Zhao, Linling (author)

    Published in:

    Innovative Computing ; Chapter : 84 ; 677-684


    Publication date :

    2022-01-04


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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