Abstract
Traffic-related fatalities account for 13% of death toll in Dubai alone. This issue is so prevalent that it spurred a bold global initiative to aggressively reduce traffic-related fatalities and/or injuries, which have formally become known as Vision Zero. One approach toward “Vision Zero” is to employ systematic and tailored technology solutions that improve driver’s competence level. Among those solutions are the driving simulators and the smart behavior evaluation systems that are realized to improve driver’s impression of road safety and potentially heighten their awareness of speed on attention, response time, and behavior. In this work, we will utilize the abundance of such data sets to systematically infer trends and relationship between the simulator/smart systems parameters and end target objective, namely the traffic-related fatalities/injuries. First, we present a demographic overview of the batch on which we will carry the statistical analysis. Each individual in the batch undertook both simulator test and practical test (i.e. practical test). We have studied the correlation between both test scores in light of the passing grade of the practical test. The categorical forms of the scores were considered to infer possible correlation. Results showed that the passing grade can influence the degree of effect the simulator score on the actual student’s performance during practical examination.
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References
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Hussien, M.F., Zakhem, G. (2024). Implementing “Vision Zero” by Evaluating the Effect of Technology in Road Safety Education to Improve Drivers’ Behavior. In: Akhnoukh, A., Kaloush, K., Souliman, M.I., Chang, C. (eds) A Pathway to Safe, Smart, and Resilient Road and Mobility Networks. IRF IRF 2022 2022. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-031-47612-9_17
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DOI: https://doi.org/10.1007/978-3-031-47612-9_17
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