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: Nurzaki Ikhsan, Ahmad Saifizul, Rahizar Ramli
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/11/6337
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spelling doaj-70840503811c4d1a80a7e24139151b5e2021-06-30T23:12:15ZengMDPI AGSustainability2071-10502021-06-01136337633710.3390/su13116337The Effect of Vehicle and Road Conditions on Rollover of Commercial Heavy Vehicles during Cornering: A Simulation ApproachNurzaki Ikhsan0Ahmad Saifizul1Rahizar Ramli2Mechanical Engineering Department, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, MalaysiaMechanical Engineering Department, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, MalaysiaMechanical Engineering Department, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, MalaysiaHeavy 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.https://www.mdpi.com/2071-1050/13/11/6337rolloverheavy vehiclesingle unit trucksingle truck-trailerlateral acceleration
collection DOAJ
language English
format Article
sources DOAJ
author Nurzaki Ikhsan
Ahmad Saifizul
Rahizar Ramli
spellingShingle Nurzaki Ikhsan
Ahmad Saifizul
Rahizar Ramli
The Effect of Vehicle and Road Conditions on Rollover of Commercial Heavy Vehicles during Cornering: A Simulation Approach
Sustainability
rollover
heavy vehicle
single unit truck
single truck-trailer
lateral acceleration
author_facet Nurzaki Ikhsan
Ahmad Saifizul
Rahizar Ramli
author_sort Nurzaki Ikhsan
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 AG
series Sustainability
issn 2071-1050
publishDate 2021-06-01
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.
topic rollover
heavy vehicle
single unit truck
single truck-trailer
lateral acceleration
url https://www.mdpi.com/2071-1050/13/11/6337
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