Implementation of Critical Intimation System for Avoiding Accidents in Hairpin Curves and Foggy Areas

Anuradha A Kasangottuwar; Trupti Shripad Tagare; Vibha T G; Priyanka N; Chaitra A

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25-Apr-24

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Implementation of Critical Intimation System for Avoiding Accidents in Hairpin Curves and Foggy Areas

Author(s):

Anuradha A Kasangottuwar , Dayananda Sagar College of Engineering; Trupti Shripad Tagare, Dayananda Sagar College of Engineering; Vibha T G, Dayananda Sagar College of Engineering; Priyanka N, Dayananda Sagar College of Engineering; Chaitra A, Dayananda Sagar College of Engineering

Keywords:

Fog Detection, IR Sensors, Road Safety Road Side Unit (RSU), Vehicle to Hub Communication (V2H)

Abstract:

Negotiating a hairpin bend in a hilly track is not an easy task but demands a lot of skill, the drivers have to be agile at all times. Road safety is one of the main objectives on designing assistance system. Everyone nowadays needs to have a guarantee of safer transport. Among all fatal accident 95% are caused by human error. Thus by designing the accurate assistance system, rate of accident can be reduced. As computerized technology advances, there is a push towards Vehicle-to-Hub Communication. An accident avoidance system is one that gives safety to the vehicular system as well as to the driver and it reduces damage. Vehicle -to- Hub Communication can help to get it. The main motivation for car-to-car communication systems is safety and avoiding accidents due to collisions. The vehicle-to-Hub communication system is not designed for a particular brand or vehicle. This can be used in every vehicle with a little modification. The system is designed considering the normal car user can also use it. Automobiles have become one of the greatest commercial achievements of mankind in the past century but unfortunately during travel they are prone to accidents and become victims. Sensors take care of the location of the vehicles with respect to the hairpin bend to decide the priority in which vehicles have to move. Information exchange between vehicles regarding speed and distance is captured by the system and the decision based on algorithms is passed on to the vehicle by visual display. In this paper, we detail the hardware and software architecture designed and developed in the project.