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@article{177585,
author = {M. Laxman and M. Gnana Deepthi and Raza Tabassum and SK. Nayab Baba},
title = {ResQway: A Digital Platform for Emergency Roadside Assistance},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {12},
pages = {1090-1095},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=177585},
abstract = {Current advances in roadside assistance and travel security are complemented by upcoming research in GPS tracking, wireless communication technologies, IoT sensors, and internet-based applications. This paper presents various methodologies for developing a web-based platform for roadside assistance, thus ensuring efficiency and convenience for travellers. The system provides service providers, such as mechanics and fuel suppliers, with a platform to list their services on the platform. In case of vehicle failure, fuel exhaustion, or minor medical issues, users can be assisted by requesting through the application. Users can manually input their location or use an automatic tracking system to determine the nearest available service provider. By determining the nearest mechanic or fuel station and sending them to the location of the traveler, the application provides the most immediate assistance possible. GPS (Global Positioning System) technology is used to track the location of service providers, while Google Maps is used to determine the shortest routes. User details and service requests are stored securely through cloud storage or a database. Through the use of contemporary technologies, "ResQway" aims to provide the most urgent assistance to those in need, thus ensuring safety and convenience for travelers traveling long distances and remote regions.},
keywords = {AI-powered roadside assistance platform, intelligent mechanic dispatching, live vehicle tracking, predictive diagnostics, emergency repair management, machine learning, real-time location access, automated service allocation, secure digital payments, fraud detection system, PostgreSQL, Node.js, Express, React, auto repair analytics, GPS integration, blockchain-based service logs, smart mobility infrastructure, mechanic performance tracking, scalable rescue solution.},
month = {May},
}
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