Injury-severity analysis of lane change crashes involving commercial motor vehicles on interstate highways |
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| Institution: | 1. Alabama Transportation Institute, The University of Alabama Tuscaloosa, AL, United States;2. Department of Civil, Construction and Environmental Engineering, The University of Alabama Tuscaloosa, AL, United States;1. Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634, USA;2. Applied Statistics, School of Mathematical and Statistical Sciences, Clemson University, Clemson, SC 29634, USA;3. Department of Civil and Environmental Engineering, University of South Carolina, Columbia, SC 29208 USA;1. Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634, USA;2. Center for Connected Multimodal Mobility, Clemson University, Clemson, SC 29634, USA;3. School of Mathematical and Statistical Sciences, Clemson University, Clemson, SC 29634, USA;1. College of Engineering, Zhejiang Normal University, Zhejiang 321005, China;2. Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province, Zhejiang Normal University, Zhejiang 321005, China;3. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, Sichuan 611756, China;4. Sichuan Vocational and Technical College of Communications, Chengdu, Sichuan 611130, China;1. University of Iowa Injury Prevention Research Center, 2195 Westlawn, Iowa City, IA 52242, USA;2. Department of Epidemiology, College of Public Health, University of Iowa, 145 North Riverside Drive, Iowa City, IA 52242, USA;3. Department of Biostatistics, College of Public Health, University of Iowa, 145 North Riverside Drive, Iowa City, IA 52242, USA;4. Department of Occupational and Environmental Health, College of Public Health, University of Iowa, 145 North Riverside Drive, Iowa City, IA 52242, USA;1. Connecticut Transportation Safety Research Center, Connecticut Transportation Institute, University of Connecticut, United States;2. Department of Civil, Environmental & Construction Engineering, University of Central Florida, United States;1. Glenn Department of Civil Engineering, Clemson University, Clemson, SC, 29634, USA;2. Glenn Department of Civil Engineering, Clemson University, Clemson, SC, 29634, USA;3. Glenn Department of Civil Engineering, Clemson University, Clemson, SC, 29634, USA;4. Center for Connected Multimodal Mobility, Clemson University, Clemson, SC, 29634, USA;5. School of Mathematical and Statistical Sciences, Clemson University, Clemson, SC, 29634, USA |
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| Abstract: | Introduction: One of the challenging tasks for drivers is the ability to change lanes around large commercial motor vehicles. Lane changing is often characterized by speed, and crashes that occur due to unsafe lane changes can have serious consequences. Considering the economic importance of commercial trucks, ensuring the safety, security, and resilience of freight transportation is of paramount concern to the United States Department of Transportation and other stakeholders. Method: In this study, a mixed (random parameters) logit model was developed to better understand the relationship between crash factors and associated injury severities of commercial vehicle crashes involving lane change on interstate highways. The study was based on 2009–2016 crash data from Alabama. Results: Preliminary data analysis showed that about 4% of the observed crashes were major injury crashes and drivers of commercial motor vehicles were at-fault in more than half of the crashes. Acknowledging potential crash data limitations, the model estimation results reveal that there is increased probability of major injury when lane change crashes occurred on dark unlit portions of interstates and involve older drivers, at-fault commercial vehicle drivers, and female drivers. The results further show that lane change crashes that occurred on interstates with higher number of travel lanes were less likely to have major injury outcomes. Practical Applications: These findings can help policy makers and state transportation agencies increase awareness on the hazards of changing lanes in the immediate vicinity and driving in the blind spots of large commercial motor vehicles. Additionally, law enforcement efforts may be intensified during times and locations of increased unsafe lane changing activities. These findings may also be useful in commercial vehicle driver training and driver licensing programs. |
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| Keywords: | lane change Crash severity Commercial motor vehicles interstate crashes |
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