Roadside Assistance for Vehicle Breakdown

Abstract

Android\'s dominant market share in the Smartphone industry makes it the ideal platform for reaching the largest audience of vehicle owners. The Android ecosystem provides robust development tools and resources, facilitating efficient and effective app creation. Additionally, Android\'s open-source nature and extensive API library enable seamless integration with various vehicle diagnostics and location services. The Existing roadside assistance system for vehicle breakdowns relies on service networks, insurance companies, and auto clubs, accessed via help lines or mobile apps. It provides services like minor repairs, tire changes, and towing. However, response times and service availability can vary due to factors like location, traffic, and personnel availability, with limited coverage in some areas affecting the efficiency of assistance. The Existing system has drawbacks like delays in admin approval, network dependency, limited mechanics in rural areas, platform dependence, and poor mechanic monitoring. So, we propose Dijkstra\'s algorithm to reduce delays, create a network-independent and platform-independent system, and improve mechanic availability and monitoring.

Introduction

1. Background & Importance

Roadside assistance is crucial for helping drivers during unexpected vehicle breakdowns like engine failure, flat tires, or battery issues, especially in remote or unfamiliar locations. Traditional services involve towing, fuel delivery, or minor on-site repairs. However, modern needs demand faster, more reliable, and tech-driven solutions.

2. Rise of Tech-Driven Solutions

Mobile apps like Visit Mechanic and On Road Vehicle Breakdown Assistance have leveraged:

• GPS for real-time location tracking

• Firebase Cloud Messaging for instant alerts

• Mechanic network access, especially in remote areas

These platforms improve convenience, reduce downtime, and offer data protection and user feedback for continuous improvement.

3. Literature Overview

Several academic and practical systems were reviewed:

• Visit Mechanic: Tracks service centers using GPS; notifies users within a radius.

• ORVBA System: Connects users with nearby licensed mechanics using real-time tracking.

• Drive Time App: Uses chatbots and tutorials for self-help and connects to local mechanics.

• Smart Vehicle Assistance App: Implements Dijkstra’s Algorithm for efficient mechanic discovery.

• ORVBAS: Multi-role app (admin, user, mechanic) for fast and trustworthy service delivery.

4. Proposed System: RAVB (Real-time Assistance for Vehicle Breakdowns)

Aims to overcome existing system limitations by offering:

• Multi-platform support (Android, iOS, Web)

• Automated service dispatch

• Mechanic tracking & monitoring

• Faster approvals using Dijkstra’s Algorithm

• Offline support via cached service center data

• Secure payment options: UPI, cards, wallets, COD

• Real-time communication via chat/call

• User tutorials and chatbot help for self-resolution

• User feedback & rating system for service quality

5. System Architecture & UI Features

• Issue Reporting & Troubleshooting: Dropdown menus, tutorial videos, and chatbot support

• Mechanic Matching: Displays nearby mechanics with availability, ETA, and estimated cost

• Live Tracking: Real-time map with mechanic’s route

• Payment Gateway: Multiple methods supported

• Feedback System: Star ratings and reviews

• Mechanic Dashboard: Activation, working hours, request limits

6. Results & Advantages

The RAVB system significantly improves upon older solutions by:

• Reducing response time

• Supporting multi-device platforms

• Enabling real-time tracking and communication

• Offering greater automation and reliability

7. Feature Comparison

A graph comparing the proposed RAVB system with existing models shows RAVB outperforms in:

• User interaction

• Mechanic dispatch

• Tracking updates

• Predictive service models

Conclusion

In conclusion, the system is built to offer a seamless and accessible experience for a diverse user base. Its support for multiple languages and platforms ensures that no user feels left out. By integrating safety-focused features and dynamic pricing, the platform remains both fair and reliable in real-time situations. The clean design, with options like dark and light modes, enhances comfort across different environments. At the same time, service providers benefit from tools that help them manage their workload effectively. Overall, the platform strikes a perfect balance between user convenience, safety, and operational efficiency.

References

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Copyright

Copyright © 2025 Dr. R. G. Suresh Kumar, Mr. Karthik R., Mr. SathishKumar J., Mr. Gowtham G., Mr. Shanmugadasan M.. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.