Roady: The Application for Assessing Risk Factors in Driving Activities
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Creator Chotima Krajangiam
Title Roady: The Application for Assessing Risk Factors in Driving Activities
Contributor Thammasak Thianniwet
Publisher Faculty of Informatics, Mahasarakham University
Publication Year 2569
Journal Title Journal of Applied Informatics and Technology
Journal Vol. 8
Journal No. 2
Page no. 260707
Keyword Driving Behavior Detection, Driving Risk Factor, Mobile Application, Gamification
URL Website https://ph01.tci-thaijo.org/index.php/jait
Website title Journal of Applied Informatics and Technology
ISSN 3088-1803
Abstract Road traffic accidents are a major global cause of mortality. Factors con-tributing to accidents include exceeding the speed limit, environmentalconditions, and vehicle issues. Thailand has the second-highest fatalityrate in Asia. The top three causes of accidents in Thailand are drivingfaster than the legal limit, dangerous lane changes, and driving too closeto the vehicle ahead. One way to encourage safe driving is to identifyrisk factors. In this work, we: (1) propose a framework and develop amobile application (Roady) to assess risk factors for driving over speedlimits, and (2) develop a design prototype that incorporates gamificationprinciples to encourage and motivate users toward safe driving practices.This application was evaluated on a university campus. The evaluation ofdriving behavior detection regarding overspeeding showed an accuracy of87.7%. We deployed the Roady application to the App Store and testedit with 53 users. The usability test showed the highest usability levelof 4.53 ( ̄x). We then evaluated our gamification design prototype. Theresults showed mean scores as high as 4.57 ( ̄x). While various technolo-gies are available today to assist in risk detection, we believe that usingmobile phones—which are widely used—to identify driving hazards canencourage safe driving and reduce the number of traffic accidents.
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