… ) showed notable improvements in model adaptability, especially in addressing the challenges
of occlusion, underscoring its value in intelligent transportation obstacle detection [60]. …

… But most of them failed to prevent accidents. This paper provides an intelligent system for
two wheeler accident prevention and detection for human life safety. The …

… traffic management in smart cities. This paper offers a comprehensive exploration study of
prevailing accident detection … of traffic monitoring systems into intelligent transport systems (ITS…

… Furthermore, accident prevention methodologies, accident contributing factors are … literature
on accident detection and prevention techniques, with the objective that smart systems can …

… in the real world of traffic accident detection. By utilizing transfer learning … traffic accident
detection problem, this work seeks to propose an application of YOLOv8 in the identification …

… The field of smart transportation has … , smart transportation is considered to be an umbrella
term that covers route optimization, parking, street lights, accident prevention/detection, road …

… the related work on smart city transportation systems, accident detection, and machine learning
… The intelligent transport system alerts vehicles during accidents and minimizes collisions …

… in smart transportation, including cloud computing, edge computing, and fog computing. Lastly,
we outlined current challenges in the smart transportation … An accident prevention system …

… conditions that are capable of detecting braking, holes in roads and stop-traffic. However, …
In this research the Intelligent Transportation System is used as a traffic accident monitoring …

… work, along with traffic management algorithms, to overcome the problems mentioned
above. A few drawbacks of the smart transportation system incident detection and management …