The effect of vehicle and road conditions on rollover of commercial heavy vehicles during cornering: A simulation approach

Heavy vehicles make up a relatively small percentage of traffic volume on Malaysian roads compared to other vehicle types. However, heavy vehicles have been reported to be involved in 30,000-40,000 accidents yearly and caused significantly more fatalities. Rollover accidents may also incur cargo dam...

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Main Authors: Ikhsan, Nurzaki, Saifizul, Ahmad, Ramli, Rahizar
Format: Article
Published: MDPI 2021
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Online Access:http://eprints.um.edu.my/27206/
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spelling my.um.eprints.272062022-04-12T06:57:08Z http://eprints.um.edu.my/27206/ The effect of vehicle and road conditions on rollover of commercial heavy vehicles during cornering: A simulation approach Ikhsan, Nurzaki Saifizul, Ahmad Ramli, Rahizar TD Environmental technology. Sanitary engineering TE Highway engineering. Roads and pavements Heavy vehicles make up a relatively small percentage of traffic volume on Malaysian roads compared to other vehicle types. However, heavy vehicles have been reported to be involved in 30,000-40,000 accidents yearly and caused significantly more fatalities. Rollover accidents may also incur cargo damages and cause environmental or human disasters for vehicles that carry hazardous cargos if these contents are spilled. Thus, in this paper, a comprehensive study was conducted to investigate the effects of vehicle and road conditions on rollover of commercial heavy vehicles during cornering at curved road sections. Vehicle conditions include the heavy vehicle class (based on the axle number and vehicle type), speed and gross vehicle weight, while road conditions include the cornering radius and coefficient of friction values. In order to reduce the risks involved in usage of actual heavy vehicles in crash experiments, a simulation approach using a multi-body vehicle dynamic software was applied in this study, where the verified virtual heavy vehicle model was simulated and the output results were extracted and analyzed. The results showed that a maximum of 40% and a minimum of 23% from the total number of simulations resulted in an unsafe condition (indicated as failed) during the simulations. From the unsafe conditions, two types of rollover accidents could be identified, which were un-tripped and tripped rollovers. The heavy vehicle speed was also found to have a strong correlation to the lateral acceleration (to cause a rollover), followed by gross vehicle weight, coefficient of friction and cornering radius, respectively. MDPI 2021-06 Article PeerReviewed Ikhsan, Nurzaki and Saifizul, Ahmad and Ramli, Rahizar (2021) The effect of vehicle and road conditions on rollover of commercial heavy vehicles during cornering: A simulation approach. Sustainability, 13 (11). ISSN 2071-1050, DOI https://doi.org/10.3390/su13116337 <https://doi.org/10.3390/su13116337>. 10.3390/su13116337
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TD Environmental technology. Sanitary engineering
TE Highway engineering. Roads and pavements
spellingShingle TD Environmental technology. Sanitary engineering
TE Highway engineering. Roads and pavements
Ikhsan, Nurzaki
Saifizul, Ahmad
Ramli, Rahizar
The effect of vehicle and road conditions on rollover of commercial heavy vehicles during cornering: A simulation approach
description Heavy vehicles make up a relatively small percentage of traffic volume on Malaysian roads compared to other vehicle types. However, heavy vehicles have been reported to be involved in 30,000-40,000 accidents yearly and caused significantly more fatalities. Rollover accidents may also incur cargo damages and cause environmental or human disasters for vehicles that carry hazardous cargos if these contents are spilled. Thus, in this paper, a comprehensive study was conducted to investigate the effects of vehicle and road conditions on rollover of commercial heavy vehicles during cornering at curved road sections. Vehicle conditions include the heavy vehicle class (based on the axle number and vehicle type), speed and gross vehicle weight, while road conditions include the cornering radius and coefficient of friction values. In order to reduce the risks involved in usage of actual heavy vehicles in crash experiments, a simulation approach using a multi-body vehicle dynamic software was applied in this study, where the verified virtual heavy vehicle model was simulated and the output results were extracted and analyzed. The results showed that a maximum of 40% and a minimum of 23% from the total number of simulations resulted in an unsafe condition (indicated as failed) during the simulations. From the unsafe conditions, two types of rollover accidents could be identified, which were un-tripped and tripped rollovers. The heavy vehicle speed was also found to have a strong correlation to the lateral acceleration (to cause a rollover), followed by gross vehicle weight, coefficient of friction and cornering radius, respectively.
format Article
author Ikhsan, Nurzaki
Saifizul, Ahmad
Ramli, Rahizar
author_facet Ikhsan, Nurzaki
Saifizul, Ahmad
Ramli, Rahizar
author_sort Ikhsan, Nurzaki
title The effect of vehicle and road conditions on rollover of commercial heavy vehicles during cornering: A simulation approach
title_short The effect of vehicle and road conditions on rollover of commercial heavy vehicles during cornering: A simulation approach
title_full The effect of vehicle and road conditions on rollover of commercial heavy vehicles during cornering: A simulation approach
title_fullStr The effect of vehicle and road conditions on rollover of commercial heavy vehicles during cornering: A simulation approach
title_full_unstemmed The effect of vehicle and road conditions on rollover of commercial heavy vehicles during cornering: A simulation approach
title_sort effect of vehicle and road conditions on rollover of commercial heavy vehicles during cornering: a simulation approach
publisher MDPI
publishDate 2021
url http://eprints.um.edu.my/27206/
_version_ 1735409512870838272
score 13.214268