Dual-mode forward collision avoidance algorithm based on vehicle-to-vehicle (V2V) communication

Mohamed Yousef, Ahmed Hosny, Wessam Gamil, Mohamed Adel, Hazem M. Fahmy, M. Saeed Darweesh, Hassan Mostafa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations


This paper proposes a Vehicle-to-Vehicle (V2V) communication-based forward collision avoidance algorithm by alarming the driver for the normal driver mode and controlling the driving wheel for the self-governed (autonomous) driving mode. The proposed algorithm benefits from the information exchange between the host vehicle and the leading vehicle to calculate the safe distance between host vehicle and leading vehicle to guarantee the avoidance of the collision. The proposed system gives advisory and imminent warnings according to the predicted accident levels, using a three different levels of collision avoidance for the driver mode. Also, in the autonomous driving mode, it follows an alternative optimal path to avoid the collision. The simulation results are implemented using Prescan and MATLAB. The simulation results show that the proposed collision avoidance system makes a composite analysis of the collision risk and provides an accurate real-time warning and an alternative path for dual driving modes.
Original languageEnglish (US)
Title of host publication2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS)
Number of pages4
ISBN (Print)9781538673928
StatePublished - Jan 24 2019
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2022-06-30
Acknowledgements: This work was performed on a project at Institute of Aviation Engineering and Technology (IAET) funded by the Academy of Scientific Research and Technology (ASRT). This research was partially funded by ONE Lab at Cairo University, Zewail City of Science and Technology, and KAUST.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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