Original scientific paper
https://doi.org/10.1080/00051144.2023.2288483
Intelligent accident detection system by emergency response and disaster management using vehicular fog computing
M. Ramya Devi
; Department of Computer Science and Engineering, Hindusthan College of Engineering and Technology, Coimbatore, India
S. Lokesh
; Department of Computer Science and Engineering, PSG Institute of Technology and Applied Research, Coimbatore, India
*
* Corresponding author.
Abstract
Traffic has increased significantly over the past few years as a result of an increase in the number of vehicles using the common routes. It has been noted that manually operating signals has
grown to be difficult. The difficulties encountered during an accident are the backed-up ambulances during emergencies caused by vehicle congestion and poor weather conditions like fog
and haze. Considering this, the study focuses on the outcomes of an intelligent accident detection system using Vehicular Fog Computing (VFC). Automatic identification of crash spots and
free flow of ambulances on roadways at peak hours of traffic. VFC has recently gained popularity
as a useful toolfor assisting vehicles in computing and storing service demands. Using the built-in
sensors on a smartphone to monitor vehicular collisions and report them to the closest accessible
first responder, as well as providing real-time location monitoring for paramedics and emergency
victims would greatly improve the odds of recovery for emergency victims while saving time and
money. This computing model guarantees the optimization of traffic congestion and energy consumption in the accident and foggy environment. This method also relies on delivering medical
records to the closest hospital before the ambulance arrives, so pre-treatment can begin in the
hospital.
Keywords
Emergency response and disaster management system (ERDMS); detecting accident; vehicular fog computing; fog server; accelerometer; emergency victim
Hrčak ID:
322956
URI
Publication date:
29.11.2023.
Visits: 0 *