Authors : Namburi Nireekshana; K Pulla Reddy; A Archana; P Rajini Kanth

Volume/Issue : Volume 10 - 2025, Issue 8 - August

Google Scholar : https://tinyurl.com/mukaxumy

Scribd : https://tinyurl.com/mazccpz5

DOI : https://doi.org/10.38124/ijisrt/25aug059

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 30 to 40 days to display the article.

Abstract : Objective: The is an innovative solution constructed to upgrade technology and provide a safety procedure in the world of transportation. The operation addresses the common fault of driver fatigue and incapability in certain unfortunate situations, providing a safe aid to the man behind the wheel. The system enables the usage of multi-powered source to reduce environmental harm combined with its Intelligent Machine learning algorithms which are utilising high advanced sensors to provide safe directional driving and assistance to our fellow people.  Novelty: This incentivizing solution to the current predicament in our country aims to reduce accident by huge percent. The goal isn't merely to present an answer to our helpless drivers but to produce a better alternative to “conventional vehicles”. By leveraging state-of-the-art technology and intelligent algorithms imbued inside an advanced version of EV, this system aims to redefine futuristic transportation and contribute to a more secure and efficient public transportation environmentally. In short, This Project represents a potential advancement in transportation, security of lives, technology, and offering proactive measures to prevent catastrophes.  Methodology: In this project, a Control kit is employed which is responsible for monitoring the driver's behaviour in real-time. Our Driver Alert System (Control kit) uses Arduino Mega, a 16 Channel Relay, a 12V Batteries, 22V Solar Panel, sensors like Ultrasonic along with Laptop and its camera. All together combined and assembled using several jumper wires and program code run in software to perform intended operation. The Project involves combining the python and C++ run code in master-slave fashion for smooth and lag free operation. The application in the real world would be replacing laptop with Raspberry Pi and suitable code and assembling it all with PCB Board. When potential risks are identified by camera which are constantly monitoring the user behind the wheel, the system promptly alerts the driver through feedback by engaging modes. In case of absence of response from driver, Auto-Pilot mode enters action and takes control of steering, driving the vehicle safely. While this operation is active the user cannot tap out system out of the mode unless special command keys that are designed to operate our Solar Bus. The vehicles use powerful Motor systems for robust pickup and performance. Also, it uses renewable energy technology for environ concerns and prepares drive efficient V2G system which allows for charging for vehicle batteries and also for power supply. The Vehicle-to-Grid aids other EV’s in reducing time consumption of charging.  Findings: Solar Based EV, Auto Pilot Assist, Driver Monitoring, Efficient Energy Usage, Vehicle-Grid application.

Keywords : Control Kit, Command Modes, Master-Slave, Ultrasonic Sensor.

References :

1. N. Nireekshana, R. Ramachandran, and G. V. Narayana, “A New Soft Computing Fuzzy Logic Frequency Regulation Scheme for Two Area Hybrid Power Systems,” Int. J. Electr. Electron. Res., vol. 11, no. 3, pp. 705–710, 2023.
2. N. Nireekshana, N. Ravi, and K. R. Kumar, “A Modern Distribution Power Flow Controller With A PID-Fuzzy Approach: Improves The Power Quality,” Int. J. Electr. Electron. Res., vol. 12, no. 1, pp. 167–171, 2024.
3. N. Nireekshana, R. Ramachandran, and G. Narayana, “A Novel Swarm Approach for Regulating Load Frequency in Two-Area Energy Systems,” Int J Electr Electron Res, vol. 11, pp. 371–377, 2023.
4. N. Nireekshana, R. Ramachandran, and G. V. Narayana, “A Peer Survey on Load Frequency Contol in Isolated Power System with Novel Topologies,” Int J Eng Adv Technol IJEAT, vol. 11, no. 1, pp. 82–88, 2021.
5. N. Nireekshana, “A POD Modulation Technique Based Transformer less HERIC Topology for PV Grid Tied-Inverter,” in E3S Web of Conferences, EDP Sciences, 2025, p. 01001. Accessed: Apr. 11, 2025. [Online]. Available: https://www.e3s-conferences.org/articles/e3sconf/abs/2025/16/e3sconf_icregcsd2025_01001/e3sconf_icregcsd2025_01001.html
6. N. Nireekshana, R. Ramachandran, and G. V. Narayana, “An innovative fuzzy logic frequency regulation strategy for two-area power systems,” Int. J. Power Electron. Drive Syst. IJPEDS, vol. 15, no. 1, pp. 603–610, 2024.
7. N. Nireekshana, T. H. Nerlekar, N. Kumar, and M. Mohsin, “An Innovative Solar Based Robotic Floor Cleaner,” Int. J. Innov. Sci. Res. Technol. IJISRT, vol. 8, no. 4, pp. 1880–1885, 2023.
8. Y. Mastanamma, B. Laxman, J. R. Babu, N. Nireekshan, and E. Saidulu, “Electric Cargo Tricycle-A New Mobility,” in E3S Web of Conferences, EDP Sciences, 2025, p. 03015. Accessed: Apr. 11, 2025. [Online]. Available: https://www.e3s-conferences.org/articles/e3sconf/abs/2025/16/e3sconf_icregcsd2025_03015/e3sconf_icregcsd2025_03015.html
9. N. Nireekshana, M. A. Goud, R. B. Shankar, and G. N. S. Chandra, “Solar Powered Multipurpose Agriculture Robot.” May, 2023. Accessed: Apr. 11, 2025. [Online]. Available: https://scholar.google.com/scholar?cluster=14706811096260049536&hl=en&oi=scholarr
10. N. Nireekshana, R. Ramachandran, and G. V. Narayana, “Novel Intelligence ANFIS Technique for Two-Area Hybrid Power System’s Load Frequency Regulation,” in E3S Web of Conferences, EDP Sciences, 2024, p. 02005. Accessed: Apr. 11, 2025. [Online]. Available: https://www.e3s-conferences.org/articles/e3sconf/abs/2024/02/e3sconf_icregcsd2023_02005/e3sconf_icregcsd2023_02005.html