ELECTRIC VEHICLE WITH DRIVER ASSISTANCE SYSTEM AND SOLAR INTEGRATION
Keywords:
Electric Vehicle, Driver Assistance System, MDVR, GPS Tracking, Solar Integration, Smart TransportationAbstract
The rapid growth in transportation systems has resulted in serious challenges such as environmental pollution, excessive fuel consumption, traffic congestion, and increasing road accidents. Conventional fuel-based vehicles contribute significantly to greenhouse gas emissions and environmental degradation, creating a strong need for sustainable and energy-efficient transportation solutions. Electric Vehicles (EVs) have emerged as an effective alternative due to their low emissions, reduced operational cost, and improved energy efficiency. However, most low-cost electric vehicles still lack advanced safety, monitoring, and communication systems because of the high cost and complexity of modern intelligent vehicle technologies.
This paper presents the design and development of a low-cost Electric Vehicle integrated with a Driver Assistance System (DAS) and solar charging support. The proposed system combines electric mobility, driver monitoring, real-time vehicle tracking, video surveillance, wireless communication, and renewable energy integration into a single compact platform. The developed prototype consists of a fabricated chassis, DC motor, chain drive transmission mechanism, steering system, braking system, suspension system, and four 12V lithium batteries.
The Driver Assistance System includes ADAS and DMS cameras, Mobile Digital Video Recorder (MDVR), GPS tracking module, buzzer alert system, monitor display, and 4G/WiFi communication modules. The ADAS camera monitors road conditions, while the DMS camera continuously monitors driver behaviour to improve vehicle safety and driver awareness. The MDVR records and stores video footage captured from the cameras, and the GPS module enables accurate real-time vehicle tracking. A photovoltaic solar panel integrated with a charge controller provides auxiliary battery charging support and improves overall energy efficiency.
The developed prototype was experimentally tested under different operating conditions to evaluate vehicle movement, steering performance, braking efficiency, monitoring capability, GPS tracking accuracy, communication performance, alert generation, and solar charging functionality. Experimental results confirmed reliable coordination between mechanical, electrical, and electronic subsystems.
The proposed system provides a cost-effective, scalable, and practical smart transportation solution suitable for fleet management, public transportation, logistics monitoring, educational research, and intelligent vehicle applications. The project demonstrates the feasibility of integrating affordable driver assistance, monitoring, and renewable energy technologies into small-scale electric vehicles, thereby contributing toward safer, smarter, and more sustainable transportation systems.
References
I. P. P. Patil and S. R. Patil, “Smart Electric Vehicle Monitoring and Tracking System using IoT,” International Journal of Engineering Research & Technology (IJERT), vol. 11, no. 5, pp. 120–126, 2022.
II. A. Demir, H. Kaya, and M. Yildiz, “Advanced Autonomous Surveillance Robot using Artificial Intelligence and Computer Vision,” Turkish Journal of Computer and Mathematics Education (Turcomat), vol. 15, no. 1, pp. 50–60, 2024.
III. A. Rao, H. Gupta, P. Singh, S. Mittal, U. Singh, and D. K. Vishwakarma, “Optimizing Electric Vehicle Efficiency with Real-Time Telemetry using Machine Learning,” International Journal of Intelligent Transportation Systems Research, vol. 22, no. 3, pp. 210–222, 2024.
IV. S. B. Mitikiri, K. V. S. M. Babu, D. Dwivedi, V. L. Srinivas, P. Chakraborty, and P. K. Yemula, “Modelling of the Electric Vehicle Charging Infrastructure as Cyber Physical Power Systems: A Review on Components, Standards, Vulnerabilities and Attacks,” IEEE Access, vol. 12, pp. 11234–11258, 2024.
V. V. Vyas and S. S. Shetiya, “Intelligent Electric Power Steering: Artificial Intelligence Integration Enhances Vehicle Safety and Performance,” International Journal of Automotive Technology, vol. 25, no. 4, pp. 455–468, 2024.
VI. R. Sharma and P. Verma, “IoT-Based Smart Driver Assistance System for Electric Vehicles,” International Journal of Advanced Research in Engineering and Technology, vol. 15, no. 2, pp. 78–89, 2024.
VII. M. Reddy and K. Srinivas, “Real-Time Vehicle Monitoring System using GPS and GSM Technology,” International Journal of Innovative Technology and Exploring Engineering, vol. 13, no. 1, pp. 95–102, 2023.
VIII. A. Kumar, S. Gupta, and N. Singh, “Solar Assisted Smart Electric Vehicle for Sustainable Transportation,” International Journal of Renewable Energy Research, vol. 14, no. 2, pp. 315–327, 2024.
IX. H. Patel and R. Joshi, “Low-Cost ADAS Implementation for Electric Vehicles using Embedded Systems,” Journal of Embedded Systems and Applications, vol. 18, no. 3, pp. 145–156, 2023.
X. S. Naik and P. Kulkarni, “Driver Drowsiness Detection System using Computer Vision Techniques,” International Journal of Computer Applications, vol. 185, no. 7, pp. 20–27, 2023.
XI. K. Raj and A. Mehta, “Smart Fleet Management System using IoT and GPS Tracking,” International Journal of Smart Vehicle Technologies, vol. 9, no. 4, pp. 55–66, 2024.
XII. D. Choudhary and M. Sharma, “Electric Vehicle Battery Monitoring and Safety System using IoT,” International Journal of Energy Systems, vol. 11, no. 6, pp. 230–242, 2023.
XIII. R. S. Kumar and V. Balaji, “Integrated Camera Surveillance System for Smart Transportation,” International Journal of Transportation Engineering, vol. 16, no. 2, pp. 112–124, 2024.
XIV. A. Bansal and K. Tiwari, “Real-Time Road Monitoring and Accident Prevention using AI-Based Vehicle Systems,” IEEE Access, vol. 11, pp. 45120–45134, 2023.
XV. S. Narayanan and P. Ravi, “Embedded Vehicle Safety System using Wireless Communication Modules,” Journal of Electronics and Communication Engineering, vol. 21, no. 1, pp. 33–44, 2023.
XVI. P. Singh and V. Agarwal, “Energy Efficient Solar Charging Techniques for Electric Vehicles,” International Journal of Green Energy, vol. 20, no. 5, pp. 401–413, 2024.
XVII. R. Kulkarni and M. Deshpande, “Design and Development of Smart Electric Vehicle Prototype,” International Journal of Mechanical and Production Engineering Research, vol. 13, no. 4, pp. 65–78, 2023.
XVIII. J. Thomas and A. Joseph, “Wireless Communication Architecture for Intelligent Transportation Systems,” Journal of Network and Computer Applications, vol. 214, pp. 103622, 2023.
XIX. V. Krishnan and R. Iyer, “Vehicle Tracking and Monitoring using IoT and Cloud Integration,” International Journal of Cloud Computing and Services Science, vol. 12, no. 3, pp. 189–201, 2024.
XX. M. Arora and S. Kapoor, “Smart Surveillance and Monitoring System for Electric Vehicles,” International Journal of Image Processing and Vision Sciences, vol. 14, no. 2, pp. 99–111, 2024.
XXI. A. Jain and P. Sinha, “Implementation of Driver Monitoring Systems using Deep Learning Techniques,” International Journal of Artificial Intelligence and Applications, vol. 15, no. 1, pp. 25–39, 2024.
XXII. N. Patel and D. Shah, “Performance Analysis of Lithium-Ion Batteries in Electric Vehicles,” Journal of Energy Storage Systems, vol. 18, no. 4, pp. 255–266, 2023.
XXIII. S. Ghosh and T. Banerjee, “Real-Time Video Recording System for Vehicle Surveillance Applications,” International Journal of Multimedia Applications, vol. 16, no. 2, pp. 145–158, 2024.
XXIV. K. Sharma and A. Roy, “Advanced Vehicle Alert System using Sensor and Embedded Technologies,” International Journal of Sensor Networks, vol. 19, no. 5, pp. 301–313, 2023.
XXV. M. Nair and P. Das, “Cloud-Based Smart Transportation Monitoring System,” International Journal of Intelligent Systems and Applications, vol. 16, no. 3, pp. 75–88, 2024.
XXVI. V. S. Rao and H. Prakash, “Electric Vehicle Safety Enhancement using Smart Monitoring Techniques,” International Journal of Vehicle Systems Modelling and Testing, vol. 18, no. 1, pp. 50–64, 2024.
XXVII. A. Saxena and P. Yadav, “Solar Powered Intelligent Electric Vehicle System for Urban Mobility,” Renewable Energy and Sustainable Development, vol. 12, no. 2, pp. 140–153, 2024.
XXVIII. R. Menon and S. Pillai, “Integrated MDVR and GPS System for Public Transportation Safety,” International Journal of Transportation Safety, vol. 9, no. 2, pp. 98–109, 2023.
XXIX. K. R. Prasad and N. Venkatesh, “IoT-Based Driver Assistance and Alert System for Smart Vehicles,” International Journal of Internet of Things and Embedded Systems, vol. 11, no. 3, pp. 210–224, 2024.
XXX. S. Chakraborty and A. Ghosh, “Design of Embedded Safety Systems for Low-Cost Electric Vehicles,” International Journal of Automotive Engineering and Technologies, vol. 13, no. 4, pp. 188–201, 2024.
XXXI. P. Ramesh and D. Kumar, “Artificial Intelligence Based Vehicle Monitoring and Assistance System,” Journal of Intelligent Transportation Technologies, vol. 10, no. 2, pp. 115–128, 2024.
XXXII. H. Verma and R. Gupta, “Development of Smart EV Platforms with Integrated Monitoring Systems,” International Journal of Smart Grid and Clean Energy, vol. 13, no. 1, pp. 66–79, 2024.
XXXIII. T. Srinath and M. Kiran, “Implementation of Smart Camera Systems for Driver Safety Applications,” International Journal of Advanced Computer Science and Applications, vol. 15, no. 2, pp. 320–332, 2024.
XXXIV. A. Mishra and P. Kulshrestha, “Renewable Energy Integration in Smart Electric Vehicles,” Journal of Sustainable Transportation Technologies, vol. 8, no. 3, pp. 150–164, 2023.
XXXV. N. Reddy and S. Kumar, “Low-Cost Intelligent Transportation System using IoT and Embedded Technology,” International Journal of Innovative Research in Technology, vol. 11, no. 5, pp. 90–104, 2024.
Additional Files
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 International Educational Journal of Science and Engineering

This work is licensed under a Creative Commons Attribution 4.0 International License.