Abstract
With more people owning cars, mobile pollution has grown to be a significant source of air pollution, which makes it more difficult for Morocco to regulate air pollution. According to the French Petroleum Institute, driver behavior plays a major role in air pollution. Several studies have been conducted in the context of vehicle monitoring and quantification of air pollution based on driving behavior. One of the most frequent reasons for car accidents is aggressive and erratic driving, which also contributes to air pollution from exhausts. This article provides an overview of research into driving habits and engine behavior, based on a practical demonstration of vehicle data collection and analysis. The paper describes a proposed driving type recognition based on variations of RPM and throttle position. We also include a comparison of recently published research in terms of accuracy, reliability, hardware requirements, and intrusiveness. Each approach has its own set of advantages and disadvantages. This study will provide a summary solution of a hybrid system that combines various strategies to make the system more efficient, more resilient, and more accurate in defining driving style.
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Karrouchi, M., Nasri, I., Kassmi, K., Messaoudi, A., Zerouali, S. (2023). Analysis of the Driver’s Overspeed on the Road Based on Changes in Essential Driving Data. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2023. Lecture Notes in Networks and Systems, vol 668. Springer, Cham. https://doi.org/10.1007/978-3-031-29857-8_80
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