INTELLIGENT ROAD RESCUE APPLICATION

Abstract: Road accidents and vehicle breakdowns are increasing rapidly due to the continuous growth in vehicle usage and urban traffic density, resulting in frequent delays in emergency assistance and roadside services. In many critical situations, the absence of accurate location information, combined with manual communication methods, significantly delays rescue operations, which may lead to serious injuries, loss of life, and property damage. To overcome these challenges, this paper presents an Intelligent Road Rescue Application, a real-time, location-based emergency assistance system designed to provide fast, reliable, and transparent roadside rescue services. The proposed system connects users facing emergencies with nearby service providers such as mechanics, towing services, fuel suppliers, and ambulances through a centralized digital platform. By leveraging GPS technology, cloud computing, and real-time communication frameworks, the application enables automatic location detection, nearby vendor identification, continuous live tracking, secure digital payments, and structured feedback mechanisms. The system significantly improves response time, enhances transparency, and ensures efficient coordination between users and service providers. This paper presents a detailed discussion of the system architecture, methodology, implementation, simulation framework, and performance evaluation of the proposed solution.

Keywords: Roadside Assistance, GPS Tracking, Real-Time Systems, Emergency Services, Web Application