Z.A. Armah, I. Wiafe, F.N. Koranteng, E. Owusu

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Pages: 3-22

Over-speeding continues to be one of the major causes of road fatality and accordingly, several interventions have been designed to combat it. In more recent times, several studies have proposed intelligent methods for detecting, monitoring, and controlling over-speeding effectively. This study investigated advancements, challenges, and future research direction of the use of intelligent speed monitoring and control systems. Using a systematic review approach, 47 studies were identified and reviewed. The review covered studies published from 2015 to 2019. The findings from the review indicated that road vehicle speed monitoring and control systems have witnessed commendable advancements over the past years. Four main types of speed measurement technologies dominate speed monitoring and control systems. Out of the four, sensor-based technologies are the most used, yet they are characterized by low-speed measurement accuracy. Also, studies in the domain use diverging evaluation methods and this makes it a challenge to compare system performance across the various studies. Also, there seems to be a lack of interest in the usage of artificial intelligence and machine learning techniques for speed measurement. The study proposes increased attention to the use of artificial intelligence and machine learning techniques to promote effective speed monitoring and control systems.
Keywords: intelligent speed monitoring; over-speeding; vehicular traffic controls; systematic reviews

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