Several abnormal driving behaviors in violation of traffic rules can be observed on the road network in Kuwait. These behaviors would likely hinder traffic flow and can worsen traffic congestion. These behaviors may also cause simulation model outputs to deviate from actual traffic conditions. Such aberrant behaviors have not been addressed in the literature, either in terms of the rate of occurrence or in terms of the factors influencing drivers' engagement in these behaviors. This study sheds light on drivers' tendencies to engage in five maneuvers that fall into the category of behaviors that violate traffic rules and could have detrimental effects on traffic conditions in Kuwait. The tendencies of drivers to engage in such behaviors were elicited through selfreport questionnaires. The study found that a significant number of drivers in Kuwait display these driving behaviors. The effects of driver gender, driver age, and annual driving distance on the tendency of drivers to engage in such behaviors were investigated.
As the economic and health tolls resulting from traffic crashes continue to rise worldwide, the need to cut down on behaviours commonly recognized as contributing factors to crashes becomes vital. Speeding has been identified as a major contributing factor to the occurrence of crashes, with crash severity correlating strongly and positively with driving speed. This study represents an endeavour aiming to enhance traffic safety by addressing issues essential to improving the efforts usually undertaken to confront speeding drivers. The effectiveness of the current scheme of deterring speeding drivers in Kuwait relying mainly on automatic speed cameras was assessed through multiple linear regression analysis utilizing data elicited through self-report questionnaires. Moreover, drivers' support for a hypothetical scheme exploiting smartphone-Apps to constantly monitor driving behaviours of repeated traffic violators was measured. Such smartphone-App-based scheme symbolizes one of many possible innovative solutions that might utilize advances in mobile technologies and driver analytics to improve road safety. The findings from this study showed the current scheme to be ineffective based on reported behaviours by surveyed drivers. The study also demonstrated that the majority of surveyed drivers expressed support for the hypothetical scheme employing smartphone-Apps to provide continuous vigilance of driving behaviours for hazardous drivers. Analysis conducted via a proportional odds model demonstrated that support for the hypothetical scheme was less prominent among habitual speeders and frequent violators of speed limits as well as among young and male drivers.
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