Multi-Factor Rear-End Collision Avoidance in Connected Autonomous Vehicles

Multi-Factor Rear-End Collision Avoidance in Connected Autonomous Vehicles

According to World Health Organization (WHO), the leading cause of fatalities and injuries is rear-ending collision in vehicles. The critical challenge of the technologically rich transportation system is to reduce the chances of accidents between vehicles. For this purpose, it is especially importa...

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Bibliographic Details
Main Authors: Sheeba Razzaq, Amil Roohani Dar, Munam Ali Shah, Hasan Ali Khattak, Ejaz Ahmed, Ahmed M. El-Sherbeeny, Seongkwan Mark Lee, Khaled Alkhaledi, Hafiz Tayyab Rauf
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Applied Sciences
Subjects:
collision avoidance
fuzzy logic
on board driver assistance
semi-autonomous
multi-factor
VANET
Online Access:https://www.mdpi.com/2076-3417/12/3/1049

Internet

https://www.mdpi.com/2076-3417/12/3/1049

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