Factors associated with crashes due to overcorrection or oversteering of vehicles
The objective of this research is to identify factors associated with crashes due to overcorrection or oversteering of vehicles. Crash data was collected from 2011 to 2013 for the State of North Carolina in the United States. Logistic regression modeling was used to analyze crash data because of the...
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doaj-099617a33b8643119bc58ac6c5b1b5772020-11-24T23:54:03ZengElsevierIATSS Research0386-11122018-04-014212429Factors associated with crashes due to overcorrection or oversteering of vehiclesPraveena Penmetsa0Srinivas S. Pulugurtha1Venkata R. Duddu2Alabama Transportation Institute, The University of Alabama, Tuscaloosa, AL 35401, United StatesDepartment of Civil and Environmental Engineering, Infrastructure, Design, Environment and Sustainability (IDEAS) Center, The University of North Carolina at Charlotte, NC 28223, United States; Corresponding author.Department of Civil and Environmental Engineering, IDEAS Center, The University of North Carolina at Charlotte, NC 28223, United StatesThe objective of this research is to identify factors associated with crashes due to overcorrection or oversteering of vehicles. Crash data was collected from 2011 to 2013 for the State of North Carolina in the United States. Logistic regression modeling was used to analyze crash data because of the dichotomous nature of the dependent variable (overcorrection or oversteering). The crash involvement due to overcorrection or oversteering of a vehicle decreased as the age of the driver increased. Drivers are 2.22 times more likely to overcorrect or oversteer when ill, 3.44 times more likely to overcorrect or oversteer when under fatigue, and 1.61 times more likely to overcorrect or oversteer when fallen asleep compared to normal physical conditions. Overall, driver characteristics and speed limit tend to play a major role in overcorrection or oversteering of vehicles. Programs to reduce impaired driving might help in the reduction of overcorrection or oversteering related crash fatalities or injuries. Additionally, training and driver education programs focusing on identified factors associated with crashes due to overcorrection or oversteering of vehicles will benefit drivers on how to respond during emergency or panic situations. Keywords: Overcorrection, Oversteering, Vehicle, Logistic regression, Crashhttp://www.sciencedirect.com/science/article/pii/S0386111216300851 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Praveena Penmetsa Srinivas S. Pulugurtha Venkata R. Duddu |
spellingShingle |
Praveena Penmetsa Srinivas S. Pulugurtha Venkata R. Duddu Factors associated with crashes due to overcorrection or oversteering of vehicles IATSS Research |
author_facet |
Praveena Penmetsa Srinivas S. Pulugurtha Venkata R. Duddu |
author_sort |
Praveena Penmetsa |
title |
Factors associated with crashes due to overcorrection or oversteering of vehicles |
title_short |
Factors associated with crashes due to overcorrection or oversteering of vehicles |
title_full |
Factors associated with crashes due to overcorrection or oversteering of vehicles |
title_fullStr |
Factors associated with crashes due to overcorrection or oversteering of vehicles |
title_full_unstemmed |
Factors associated with crashes due to overcorrection or oversteering of vehicles |
title_sort |
factors associated with crashes due to overcorrection or oversteering of vehicles |
publisher |
Elsevier |
series |
IATSS Research |
issn |
0386-1112 |
publishDate |
2018-04-01 |
description |
The objective of this research is to identify factors associated with crashes due to overcorrection or oversteering of vehicles. Crash data was collected from 2011 to 2013 for the State of North Carolina in the United States. Logistic regression modeling was used to analyze crash data because of the dichotomous nature of the dependent variable (overcorrection or oversteering). The crash involvement due to overcorrection or oversteering of a vehicle decreased as the age of the driver increased. Drivers are 2.22 times more likely to overcorrect or oversteer when ill, 3.44 times more likely to overcorrect or oversteer when under fatigue, and 1.61 times more likely to overcorrect or oversteer when fallen asleep compared to normal physical conditions. Overall, driver characteristics and speed limit tend to play a major role in overcorrection or oversteering of vehicles. Programs to reduce impaired driving might help in the reduction of overcorrection or oversteering related crash fatalities or injuries. Additionally, training and driver education programs focusing on identified factors associated with crashes due to overcorrection or oversteering of vehicles will benefit drivers on how to respond during emergency or panic situations. Keywords: Overcorrection, Oversteering, Vehicle, Logistic regression, Crash |
url |
http://www.sciencedirect.com/science/article/pii/S0386111216300851 |
work_keys_str_mv |
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