Progress, risks and impacts of the evolution of autonomous vehicles

Hossain, Md Naeem and Rahman, Md Mustafizur and D., Ramasamy and K., Kadirgama and Noor, M. M. (2026) Progress, risks and impacts of the evolution of autonomous vehicles. Journal of Advanced Research in Applied Sciences and Engineering Technology, 63 (2). pp. 97-118. ISSN 2462-1943. (In Press / Online First) (In Press / Online First)

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Abstract

In recent years, there has been a growing interest in autonomous driving due to the potential to alleviate the responsibilities of drivers and enhance driving safety. A lot of technological advancements and progress have been observed to develop and facilitate the operation of autonomous vehicles. However, the rapid evolution of autonomous vehicles presents a complex and multifaceted set of challenges and opportunities that require in-depth analysis. This review article critically examines the progress made in the development of autonomous vehicle technology, delineates the associated risks, and investigates the multifaceted impacts on society, the economy, and the environment. The article commences by outlining the achievements made in autonomous vehicle technology, incorporating developments in sensor technology, artificial intelligence, and vehicle-to-everything communication for its regular operation, object detection, and prediction mechanism. Additionally, it explores the various levels of automation, from driver assistance systems to fully autonomous vehicles, and the technical challenges encountered at each stage. Moreover, it discusses concerns related to safety, cybersecurity, ethical considerations, and the potential displacement of traditional transportation jobs which need to be overcome by continuous research in this field. In addition to the technological and safety aspects, this review explores the broader societal and environmental impacts of autonomous vehicles. Furthermore, it examines the potential benefits, such as reduced traffic congestion, improved road safety, and enhanced accessibility for individuals with mobility challenges. Conversely, it also considers the environmental consequences and the need for sustainable autonomous mobility solutions.

Item Type: Article
Uncontrolled Keywords: Autonomous vehicles (AVs); Sensors of AVs; Object detection; trajectory prediction; ADAS
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Faculty/Division: Institute of Postgraduate Studies
Centre of Excellence: Automotive Engineering Centre
Centre of Excellence: Automotive Engineering Centre

Faculty of Mechanical and Automotive Engineering Technology
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 17 Mar 2025 03:03
Last Modified: 26 Mar 2025 02:05
URI: http://umpir.ump.edu.my/id/eprint/43871
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