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

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Innovative Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 791))


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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Fund Project 1: This paper is the mid-stage research result of a new generation of information technology project in the key fields of ordinary colleges and universities of the Guangdong Provincial Department of Education “Research and Application of Traffic Safety Early Warning System Based on 5G Internet of Vehicles” (Project No:2020ZDZX3096) from Guangzhou Nanyang Polytechnic College.

Fund Project 2: This is the phased research result of the “Research on Security Mechanism and Key Technology Application of Internet of Vehicles” (Project No: NY-2020KYYB-08) from Guangzhou Nan yang Polytechnic College.

Fund Project 3: This paper is the research result of the project of “Big Data and Intelligent Computing Innovation Research Team” (NY-2019CQTD-02) from Guangzhou Nan yang Polytechnic College.

Fund Project 4: This paper is the research result of “Innovation and Strong School Project”—“Research on Vehicle Collision Warning Method Based on Trajectory Prediction in Internet of Vehicles” (Project No: NY-2020CQ1TSPY-04) from Guangzhou Nan yang Polytechnic College.

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Correspondence to Rongxia Wang .

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Wang, R., Zhao, L. (2022). Application of Anti-collision Early Warning System for 5G Internet of Vehicles. In: Hung, J.C., Chang, JW., Pei, Y., Wu, WC. (eds) Innovative Computing . Lecture Notes in Electrical Engineering, vol 791. Springer, Singapore.

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-4257-9

  • Online ISBN: 978-981-16-4258-6

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