Malaysia AI application in trucking industry robot rules the road? / Ts. Dr Abdul Khabir Rahmat and Faizal Amin Sharifuldin

Rahmat, Abdul Khabir and Sharifuldin, Faizal Amin (2023) Malaysia AI application in trucking industry robot rules the road? / Ts. Dr Abdul Khabir Rahmat and Faizal Amin Sharifuldin. RISE: Catalysing Global Research Excellence (3): 20. pp. 1-7. ISSN 2805-5883

Abstract

In this brave new world of trucking, humans, machines, and AI set out on an adventure that will undoubtedly change the face of the business. The trucking industry in Malaysia is at a crossroads between innovation and automation, as the country embraces artificial intelligence technology. Here, we'll take you on a tour of the highs and lows of artificial intelligence in Malaysia's trucking sector. Before that, let’s have a look on a bigger picture of how AI in trucking industry is at the global stage. One of the notable advancements is introduced by Daimler with their Autonomous Freightliner. Imagine a truck driving down the highway while the driver takes a much-needed nap, thanks to the AI-powered system. The Freightliner Inspiration Truck from Daimler demonstrated the potential of autonomous vehicles. Although it seems like something out of science fiction, we have to wonder if the "autonomous" driver is just another weary trucker in need of a break (Samala et al., 2020).

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Rahmat, Abdul Khabir
abdulkhabir@uitm.edu.my
Sharifuldin, Faizal Amin
UNSPECIFIED
Subjects: Q Science > Q Science (General) > Back propagation (Artificial intelligence)
T Technology > TL Motor vehicles. Aeronautics. Astronautics > Trucks. Truck terminals
Divisions: Universiti Teknologi MARA, Shah Alam > Vice Chancellor Office > Pejabat Timbalan Naib Canselor (Penyelidikan & Inovasi)
Journal or Publication Title: RISE: Catalysing Global Research Excellence
ISSN: 2805-5883
Number: 3
Page Range: pp. 1-7
Keywords: AI, trucking industry, management systems
Date: November 2023
URI: https://ir.uitm.edu.my/id/eprint/87487
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