Automatic Vehicle Detection and Alert System

DOI

10.2991/978-94-6463-471-6_104How to use a DOI?

Keywords

ZigBee; DSRC(Dedicated Short Range communication); ITS(Intelligent Transport System)

Abstract

In India 80% of the deaths are due to accidents so as to prevent this Vehicle-to-Vehicle Technology has come into existence. This V2V technology not only prevents accidents but also detects them. This V2V is a subset of ITS. V2V is vehicle-to-vehicle communication in which vehicles exchange information about speed, location, and direction of travel, establishing a comprehensive awareness of vehicles in close proximity to the driver from all directions. The current system includes both prevention (via vibration sensor) and detection (via Google Maps integration). Both prevention and detection are addressed in the proposed paper. When it comes to prevention, DSRC is a wireless network used for communication. The operational range of V2V is 250m. This technology is especially useful in hilly areas where a vehicle in the blind spots may not be detected by the driver. Instead of DSRC, we can use ZigBee or Bluetooth for communication. The obstacle is detected using UV sensors and alerted by a buzzer; when it is out of range, the vehicle automatically stops. When it comes to detection, this is primarily based on the accelerometer, which detects the accident. The identification and creation of an accident location, as well as the sending of a message and location, will be accomplished using GPS and GSM. The main advantages of this system are cost effectiveness, assurance of safety, the ability to save victims’ lives quickly, efficient time consumption, and a reduction in the possibility of human error.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Lalam Takurini Priyanka
AU  - Tankala Meghana
AU  - Polumahanthi Namratha Patnaik
AU  - Kurma Priya Sai Sri Chandini
PY  - 2024
DA  - 2024/07/30
TI  - Automatic Vehicle Detection and Alert System
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 1098
EP  - 1106
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_104
DO  - 10.2991/978-94-6463-471-6_104
ID  - Priyanka2024
ER  -