Design and Implementation of Accident Prevention with Alert Messages and Motion Sensors for Mountain Road Safety
The prevention of vehicle accidents in hilly places is a serious concern because of the particular difficulties presented by the topography and terrain. Drivers are faced with numerous challenges in hilly areas, such as steep grades, tight curves, small roads, and erratic weather, all of which raise the possibility of collisions. To reduce these dangers and improve road safety in hilly areas, this abstract examines several technologies and tactics. In this paper the prevention system that harnesses motion sensor technology to enhance road safety, particularly in challenging environments like remote or mountainous areas. The system detects sudden changes in vehicle motion indicative of potential accidents and promptly alerts nearby hospitals via real-time communication channels. By providing vital accident information to hospitals, such as location and severity, the system enables swift and well-prepared emergency responses. Through simulations and field tests, the efficacy of the system is validated, highlighting its potential to significantly reduce accident rates and mitigate the impact of road incidents. This innovative solution not only facilitates real-time accident detection but also streamlines emergency response efforts, ultimately improving overall road safety and saving lives. Moreover, the system's integration with existing intelligent transportation systems enhances its scalability and effectiveness. With its ability to expedite emergency medical assistance, this system represents a crucial advancement in accident prevention technology, promising to revolutionize road safety and emergency response protocols.
Authors
- Muhammad Ali Imran (ORCID: https://orcid.org/0000-0003-4743-9136)
- S. Aravindh
- P. Arun Dalash
- S. Sri Gowtham
- B. Venkata Prasanth
Publication Details
- Published
- 2024-08-08
- DOI
- https://doi.org/10.1109/icecsp61809.2024.10698746
- Citations
- 5
- Primary Topic
- Innovation in Digital Healthcare Systems
- Type
- article
- Field-Weighted Citation Impact
- 3.54