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Assessing the driving behaviour of motorcyclists to improve road safety

Charef, Ayoub ; Jarir, Zahi ; Quafafou, Mohamed

J.UCS (Annual print and CD-ROM archive ed.), 2024-05, Vol.30 (5), p.617-644 [Periódico revisado por pares]

Bristol: Pensoft Publishers

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Título:
Assessing the driving behaviour of motorcyclists to improve road safety
Autor: Charef, Ayoub ; Jarir, Zahi ; Quafafou, Mohamed
Assuntos: Algorithms ; Applications programs ; Computer vision ; Driving ; Lane changing ; Machine vision ; Mobile computing ; Motorcycles ; Motorcyclists ; Obje ; Road construction industry ; Road safety ; Roads ; Safety and security measures ; Traffic safety ; Traffic violations
É parte de: J.UCS (Annual print and CD-ROM archive ed.), 2024-05, Vol.30 (5), p.617-644
Descrição: Traffic violations by motorcycle riders pose a significant risk to urban road safety. In this paper, we present a novel approach that utilizes computer vision algorithms to detect and quantify traffic violations committed by motorcycle riders. These violations include non-compliance with helmet regulations, illegal lane changing, wrong way driving, weaving between vehicles, and running red lights. To enhance the awareness of motorcycle riders regarding the infractions they commit and the potential hazards these pose to road safety, we have developed a mobile application. This application not only provides riders with valuable feedback but also encourages them to be more conscientious and responsible for their actions. A series of experiments was conducted in the city of Marrakech, Morocco, demonstrating the system's effectiveness in positively influencing the behavior of motorcyclists on urban roads.
Editor: Bristol: Pensoft Publishers
Idioma: Inglês

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Assessing the driving behaviour of motorcyclists to improve road safety

Charef, Ayoub ; Jarir, Zahi ; Quafafou, Mohamed

Bristol: Pensoft Publishers

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