With the rise in traffic and stress levels among drivers, driving has become increasingly dangerous. As a result, it is essential to implement systems that can prevent collisions to ensure safer and more efficient journeys on the road. This paper proposes a novel algorithm for Vehicle-to-Vehicle Advanced Driver Assistance Systems (V2V-ADAS) that uses cooperative systems with vehicular communication technologies expected to become mandatory installations in cars. The proposed algorithm specifically focuses on detecting forward collisions and calculating current breaking distances to identify potential collisions. Upon detection of hazardous road conditions, the ADAS technology immediately alerts the driver and can even take action, such as slowing or stopping the vehicle if necessary. By utilizing modern technology to enhance safety on the roads, this innovative approach to V2V-ADAS has great potential to reduce accidents significantly. In conclusion, developing advanced technology like V2V-ADAS is crucial for providing safer and more efficient driving experiences. The proposed algorithm offers a promising solution to the growing problem of collisions on our roads and has the potential to revolutionize the way we approach road safety.
Keywords:
AEB, V2V, FCWS, ADS, Vehicle-to-Vehicle Advanced Driver Assistance Systems
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Citation
Ahmed Mahmoud, Khaled Abdelhady, Mohammed Salama(2022),New Algorithm for Vehicle-to-Vehicle Advanced Driver-Assistance Systems (V2V-ADAS) to Prevent Collisions. IUSRJ International Uni-Scientific Research Journal (3)(20),133-138. https://doi.org/10.59271/s44915.022.1225.20Call for Paper
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