Predicting vehicular collisions in vehicle-to-vehicle networks using physical layer techniques

DSRC;V2V;V2X;Doppler shift;RSSI;DOA;Physical layer;OFDM

Kihei, Billy ; Durgin, Gregory Electrical and Computer Engineering Copeland, John A. Chang, Yusun Riley, George Zegura, Ellen Beyah, Raheem ; Durgin, Gregory

University:Georgia Institute of Technology

Department:Electrical and Computer Engineering

关键词: DSRC;    V2V;    V2X;    Doppler shift;    RSSI;    DOA;    Physical layer;    OFDM;   

Others  :  https://smartech.gatech.edu/bitstream/1853/60661/1/KIHEI-DISSERTATION-2017.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

The wireless communication technology known as Vehicle-to-Vehicle (V2V) operating at the 5.9GHz Dedicated Short Range Communications (DSRC) band is set to enter the world stage. This dissertation presents novel physical layer (PHY) techniques for providing collision avoidance services to drivers and future autonomous systems participating in V2V networks. To date, predicting car collisions by observing PHY characteristics of DSRC radios in V2V networks is not well investigated nor validated. V2V networks rely heavily on safety message (SM) passing; hence collision avoidance services are enabled by the contents contained within the SM. Based on the existing V2V protocol standards, the foundational research presented could contribute additional safety benefits for V2V networks if any V2V device is misbehaving. The periodic broadcast of either SM or non-safety network traffic could be leveraged to identify events indicative of a collision. The advancements presented in this work will allow future investigators the opportunity to design new collision avoidance methods and to develop additional services for both drivers and autonomous systems. With this body of work, car accidents could be reduced and V2V enhanced to provide collision avoidance not just at the application layer, but directly from the PHY. By enabling V2V devices to sense the whereabouts of other transmitters regardless of the authenticity or accuracy of the critical safety data within SMs, then the reliability of V2V networks can be assured for making connected transportation safer.