2022
DOI: 10.3390/mca27050077
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A Review of Artificial Intelligence and Machine Learning for Incident Detectors in Road Transport Systems

Abstract: Road transport is the most prone to accidents, resulting in significant fatalities and injuries. It also faces a plethora of never-ending problems, such as the frequent loss of lives and valuables during an accident. Appropriate actions need to be taken to address these problems, such as the establishment of an automatic incident detection system using artificial intelligence and machine learning. This article explores the overview of artificial intelligence and machine learning in facilitating automatic incid… Show more

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Cited by 33 publications
(24 citation statements)
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References 110 publications
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“…AI is also important in optimizing logistics and transportation networks [22]. AI algorithms can optimize supply chain operations, cut transportation costs, and enhance delivery times by evaluating massive volumes of data on shipping routes, cargo loads, and transportation timetables.…”
Section: Transportationmentioning
confidence: 99%
“…AI is also important in optimizing logistics and transportation networks [22]. AI algorithms can optimize supply chain operations, cut transportation costs, and enhance delivery times by evaluating massive volumes of data on shipping routes, cargo loads, and transportation timetables.…”
Section: Transportationmentioning
confidence: 99%
“…With the goal of preventing crashes, the study (Olugbade 2022) examines the main problems, potential fixes, and deployment of automated learning and robotics in road transportation networks. The study concludes by summarizing the difficulties in applying machine learning to public transportation networks, highlighting recent developments in research, pointing out open issues, and emphasizing key research findings.…”
Section: Related Workmentioning
confidence: 99%
“…Processes for automatic incident detection (AID), which employ a variety of sensors and techniques including image processing, are more often used. Additionally, research is done on vehicle probes that analyse traffic data to swiftly identify incidents and detector/sensor-based event detection algorithms [23].…”
Section: Integration Of Mobile Broadbandmentioning
confidence: 99%