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


    Access

    Download


    Export, share and cite



    Title :

    Factors associated with crashes due to overcorrection or oversteering of vehicles


    Contributors:


    Publication date :

    2018




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown





    Analysis of Fatal Run-Off-the-Road Crashes Involving Overcorrection

    Spainhour, Lisa K. / Mishra, Abhishek | Transportation Research Record | 2008


    Judgmental Oversteering Taxi Aid System and Method

    TURCIOS FELIX B / LEHMAN HANNAH C | European Patent Office | 2020

    Free access


    Factors Associated with Work Zone Crashes

    Mohammed, Hemin J. / Chang, Young In / Schrock, Steven D. | Transportation Research Record | 2023