TY - GEN
T1 - Low-Cost Solution for Vehicle Collision Avoidance for Smart and Safe Transportation
AU - Chiraag, U.
AU - Naveen, Soumyalatha
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Moving towards smart transportation heavily depends on the state-of-the-art collision avoidance system. Intersections and inattention of drivers cause accidents. The latest vehicles have an inbuilt collision avoidance system, however, implementing it on existing vehicles is not practical as it requires hardware and sensors. Due to non-practicality and the cost incurred for the installation, existing vehicles will be far away to set up this kind of system. In this article, we propose and develop a technique based on combined Haversine and Vincenty's formulae for collision avoidance systems to detect and warn the driver of the possibility of a collision. Our technique is incorporated into a mobile application and can be easily installed on users' mobile. Our proposed work measures vehicle coordinates and distance between the vehicles. The prototype app warns by beeping if any other vehicle approaches around the vehicle at high speed. Further, the app data can be used to analyze the traffic and accordingly, drivers can decide on which road to reach in a minimal time. It also warns any vehicles coming from sides in intersections or lanes. Without additional cost for hardware devices, the existing vehicles can make use of this smart solution for vehicle collision avoidance.
AB - Moving towards smart transportation heavily depends on the state-of-the-art collision avoidance system. Intersections and inattention of drivers cause accidents. The latest vehicles have an inbuilt collision avoidance system, however, implementing it on existing vehicles is not practical as it requires hardware and sensors. Due to non-practicality and the cost incurred for the installation, existing vehicles will be far away to set up this kind of system. In this article, we propose and develop a technique based on combined Haversine and Vincenty's formulae for collision avoidance systems to detect and warn the driver of the possibility of a collision. Our technique is incorporated into a mobile application and can be easily installed on users' mobile. Our proposed work measures vehicle coordinates and distance between the vehicles. The prototype app warns by beeping if any other vehicle approaches around the vehicle at high speed. Further, the app data can be used to analyze the traffic and accordingly, drivers can decide on which road to reach in a minimal time. It also warns any vehicles coming from sides in intersections or lanes. Without additional cost for hardware devices, the existing vehicles can make use of this smart solution for vehicle collision avoidance.
UR - https://www.scopus.com/pages/publications/105001489333
UR - https://www.scopus.com/pages/publications/105001489333#tab=citedBy
U2 - 10.1109/ICEI64305.2024.10912117
DO - 10.1109/ICEI64305.2024.10912117
M3 - Conference contribution
AN - SCOPUS:105001489333
T3 - 2024 IEEE Conference on Engineering Informatics, ICEI 2024
BT - 2024 IEEE Conference on Engineering Informatics, ICEI 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Conference on Engineering Informatics, ICEI 2024
Y2 - 20 November 2024 through 28 November 2024
ER -