A Comprehensive Review of Vehicular Ad Hoc Network-Based Accident Identification Systems

Abstract

In current years, there has been a rapid increase in the amount of automobiles on the road as well as an expansion in the ways in which they are utilised. This can be due to people's growing demand for and need for vehicles. The number of road accidents has increased as a result of this issue. Road accidents endanger human life and put contemporary society's dedication to public safety at jeopardy. Thus, a clear solution to this problem must be presented. Traffic accident prediction and prevention are essential steps for the security of motor vehicles. Vehicle Ad-hoc Networks (VANETs), which provide in-vehicle immediate connectivity and sensing, have emerged as a feasible solution for improving road safety. Recent research have put forward the idea of VANET-based traffic accident prediction systems, which use the information gathered from VANETs to calculate the chance of accidents in a certain location. A summary of the most advanced VANET-based traffic accident recognition systems is given in this review study. For VANET, both early detection and transmission lag have been problems. The present problem and challenges with accident identification in VANET technology are also covered in this paper. Our analysis demonstrates the potential for VANET-based traffic accident identification systems to dramatically increase traffic safety, but additional study is required to solve the difficulties associated with real-world implementation, such as confidentiality of information, adaptability, and dependability.