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...

Full description

Bibliographic Details
Main Authors: Praveena Penmetsa, Srinivas S. Pulugurtha, Venkata R. Duddu
Format: Article
Language:English
Published: Elsevier 2018-04-01
Series:IATSS Research
Online Access:http://www.sciencedirect.com/science/article/pii/S0386111216300851
id doaj-099617a33b8643119bc58ac6c5b1b577
record_format Article
spelling 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 AT praveenapenmetsa factorsassociatedwithcrashesduetoovercorrectionoroversteeringofvehicles
AT srinivasspulugurtha factorsassociatedwithcrashesduetoovercorrectionoroversteeringofvehicles
AT venkatarduddu factorsassociatedwithcrashesduetoovercorrectionoroversteeringofvehicles
_version_ 1725467577907412992