Development of Adaptive Cruise Control (ACC) and Lane Keeping Assist (LKA) Systems for Electric Vehicles

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Notice

nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n

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Year : 2025 [if 2224 equals=””]23/09/2025 at 10:00 AM[/if 2224] | [if 1553 equals=””] Volume : 15 [else] Volume : 15[/if 1553] | [if 424 equals=”Regular Issue”]Issue : [/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03 | Page : 1 6

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    K.G. Dharani, Sai Sabarish A, Kishore Kumar K., Jagathesan N.,

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  1. Assistant Professor, Student, Student, Student, Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore, Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore, Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore, Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore, Tamil Nadu, Tamil Nadu, Tamil Nadu, Tamil Nadu, India, India, India, India

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Abstract

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nThis project investigates an IoT-power Adaptive Driver Assistance System (ADAS) crafted to enhance the comfort, efficiency, and reliability of Electric Vehicles (EVs). By seamlessly integrating Adaptive Cruise Control (ACC) and Lane Keeping Assist (LKA), the system aims to metamorphose driving into a secure, more comfortable, and energy-conscious experience using low-priced sensors and microcontrollers. The ACC module relies on ultrasonic sensing element linked to a NodeMCU, which intelligently corrects vehicle speed to maintain a secure following distance. In parallel, the LKA system uses a camera coupled with OpenCV and Python to detect lane boundaries and dominance steering through a servomechanism motor. IoT technology plays a pivotal role in real-time data monitoring, remote diagnostics, and over-the-air updates. Both simulation and on-route tests demonstrate the system’s efficiency in optimizing energy usage, enhancing vehicle control, improving long-distance safety, and reducing driver fatigue. This advanced approach offers a scalable and cost-effective solution tailored for modern electric vehicles (EVs), laying the groundwork for smarter and safer roads. Its integration ensures improved performance and reliability, making it a valuable contribution to future transportation technologies and sustainable mobility solutions aimed at creating a safer and more efficient driving experience for all users.nn

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Keywords: Adaptive Cruise Control, Lane Keeping Assist, IoT, NodeMCU, ultrasonic sensors, OpenCV, MATLAB Simulink I

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Instrumentation Technology & Innovations ]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Instrumentation Technology & Innovations (joiti)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article:
nK.G. Dharani, Sai Sabarish A, Kishore Kumar K., Jagathesan N.. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]Development of Adaptive Cruise Control (ACC) and Lane Keeping Assist (LKA) Systems for Electric Vehicles[/if 2584]. Journal of Instrumentation Technology & Innovations. 26/07/2025; 15(03):1-6.

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How to cite this URL:
nK.G. Dharani, Sai Sabarish A, Kishore Kumar K., Jagathesan N.. [if 2584 equals=”][226 striphtml=1][else]Development of Adaptive Cruise Control (ACC) and Lane Keeping Assist (LKA) Systems for Electric Vehicles[/if 2584]. Journal of Instrumentation Technology & Innovations. 26/07/2025; 15(03):1-6. Available from: https://journals.stmjournals.com/joiti/article=26/07/2025/view=0

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Original Research

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Volume 15
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03
Received 26/03/2025
Accepted 24/06/2025
Published 26/07/2025
Retracted
Publication Time 122 Days

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