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An Optimal Transmission Reliability Enhancement Mechanism for Cooperative Driving System

  • Hongzhuan Zhao
  • Tianlong Gu
  • Wenyong Li
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 503)

Abstract

Advances in V2X technologies have enabled vehicles to communicate with each other for sharing emergency warning message (EWM) and providing drivers with potential collision warnings in the vicinity of the intersection. In the vicinity of the intersection, vehicular ad hoc networks (VANET) are a long-term solution contributing significantly toward vehicle cyber-physical systems (VCPS) in providing access to cooperative driving system. Thus, the cooperative driving system is a typical VCPS. However, EWM has transmission delay, error, and redundancy due to the inherent characteristics of VANET. For minimizing the transmission delay, and decreasing error and redundancy of EWM, and then achieving reliable EWM in the vicinity of the intersection, we propose an optimal transmission reliability enhancement mechanism (OTREM) for the cooperative driving system. In detail, through analyzing the inherent characteristics of transmission delay, error, and redundancy of EWM, we design transmission delay and error optimal schemes according to the traffic information transmission method and principle, and construct the vehicle roles change strategy using the modified finite automata to propagate EWM to the right roles of the endangered vehicles for decreasing redundancy of EWM.

Keywords

Vehicular cyber-physical systems (VCPS) Vehicular ad hoc network (VANET) Optimal transmission reliability enhancement mechanism (OTREM) Finite automata 

Notes

Acknowledgements

The authors gratefully acknowledge the research funding support from the National Natural Science Foundation of China (NSFC) (Grant No. 61572146, U1501252), Scientific research fund project of Guilin University of Electronic Technology (Grant No. UF17005Y, UF18001Y), Guangxi Natural Science Foundation (Grant No. 2017JJA160613) and Guangxi Natural Science Foundation (Grant No. 2016GXNSFAA380056).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Architecture and Transportation EngineeringGuilin University of Electronic TechnologyGuilinChina
  2. 2.School of Information and CommunicationGuilin University of Electronic TechnologyGuilinChina

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