The Challenges of Autonomous Vehicles In Malaysia: From The Perspective Of Motorcycle Traffic Crashes

The Level 3 autonomous vehicle (AV) is now a reality on the public roads. While the emergence of AV is to eliminate the traffic crashes due to human error by 90%, the unexpected or errant drivings on the roads would, however lead to traffic crashes as the operation of AVs are depending on the artificial intelligence, which involve constantly teaching the computer to learn. In Malaysia, motorcycle fatalities accounted for about 60% of the total traffic fatalities, of which the majority of the fatalities were due to human errors. - The presence of motorcyclists in the traffic stream then becomes challenge to the operation of AVs due to the unpredictable and inconsistent behaviour of the motorcyclists. Therefore, to ensure the safe deployment of AVs in the country, this study is taken to unveil the characteristics of certain traffic crashes involving motorcyclists. The findings show that as high as 40% of the motorcycle casualties were due to the motorcycles’ faults. Careless driving, speeding, dangerous overtaking and turning are among the causal factors. The findings shed important insights to AV software programm developers in the process of detecting and processing necessary response plans. Besides, the car makers can also propose more crashworthiness vehicles from the perspective of vulnerable road users.

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Publication Details

Journal
International Journal of Management Finance and Accounting
Published
2025-02-28
DOI
https://doi.org/10.33093/ijomfa.2025.6.1.3
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
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article

The Challenges of Autonomous Vehicles In Malaysia: From The Perspective Of Motorcycle Traffic Crashes

Alvin Wai Hoong Poi, Jen Sim Ho
International Journal of Management Finance and Accounting
Transportation and Mobility Innovations
article

The Challenges of Autonomous Vehicles In Malaysia: From The Perspective Of Motorcycle Traffic Crashes

Alvin Wai Hoong Poi, Jen Sim Ho
article en

Abstract

The Level 3 autonomous vehicle (AV) is now a reality on the public roads. While the emergence of AV is to eliminate the traffic crashes due to human error by 90%, the unexpected or errant drivings on the roads would, however lead to traffic crashes as the operation of AVs are depending on the artificial intelligence, which involve constantly teaching the computer to learn. In Malaysia, motorcycle fatalities accounted for about 60% of the total traffic fatalities, of which the majority of the fatalities were due to human errors. - The presence of motorcyclists in the traffic stream then becomes challenge to the operation of AVs due to the unpredictable and inconsistent behaviour of the motorcyclists. Therefore, to ensure the safe deployment of AVs in the country, this study is taken to unveil the characteristics of certain traffic crashes involving motorcyclists. The findings show that as high as 40% of the motorcycle casualties were due to the motorcycles’ faults. Careless driving, speeding, dangerous overtaking and turning are among the causal factors. The findings shed important insights to AV software programm developers in the process of detecting and processing necessary response plans. Besides, the car makers can also propose more crashworthiness vehicles from the perspective of vulnerable road users.

International Journal of Management Finance and AccountingVol. 6(1)
Multimedia University (MY)
Openalex Percentile: Top 97%
Transportation and Mobility Innovations
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