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Can computer vision-based road analysis improve traffic flow and reduce accidents in urban areas?

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Computer vision-based road analysis has shown promising potential in enhancing traffic flow and reducing accidents in urban areas. By leveraging deep learning algorithms and CV techniques, such as vehicle detection, tracking, and trajectory extraction , real-time monitoring systems can provide valuable insights into traffic patterns, enabling the prediction of potential conflicts and near misses . Additionally, visual notifications of accident-prone features to drivers based on dashcam images can significantly improve situational awareness and reduce the likelihood of accidents . These advancements not only aid in preemptively warning drivers of over-speeding but also contribute to the overall safety and efficiency of urban road networks by addressing critical factors like occlusion, illusion, and accurate traffic flow monitoring .

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Open access•Journal Article•DOI Sensing accident-prone features in urban scenes for proactive driving and accident prevention Sumit Mishra, Praveenbalaji Rajendran, Luiz Felipe Vecchietti, Dongsoo Har - Show less +3 more 25 Feb 2022-IEEE Transactions on Intelligent Transportation Systems 2 Citations	Computer vision-based road analysis can enhance traffic flow and reduce accidents in urban areas by detecting accident-prone features, enabling proactive driving, and implementing visual notifications for drivers.
Open access•Journal Article•DOI A vision-based real-time traffic flow monitoring system for road intersections Jahongir Azimjonov, Ahmet Özmen, Metin Varan - Show less +2 more 10 Feb 2023-Multimedia Tools and Applications	Vision-based systems like the one developed can enhance traffic flow monitoring at intersections, potentially reducing accidents by providing real-time data for improved traffic management in urban areas.
Open access•Posted Content•DOI Advances and Applications of Computer Vision Techniques in Vehicle Trajectory Generation and Surrogate Traffic Safety Indicators 27 Mar 2023	Computer vision techniques can enhance traffic safety analysis by utilizing surrogate safety indicators, aiding in understanding traffic conflicts and near misses, potentially improving traffic flow and reducing accidents in urban areas.
Proceedings Article•DOI RF And Computer Vision Based Warning System For Minimizing Road Accidents Praveenkumar. S 19 Apr 2023	RF and computer vision-based warning system can reduce accidents by warning drivers of over-speeding. However, the paper does not directly address traffic flow improvement in urban areas.
Proceedings Article•DOI RF And Computer Vision Based Warning System For Minimizing Road Accidents 19 Apr 2023	RF and computer vision-based warning system can enhance road safety by preemptively alerting drivers about over-speeding, potentially reducing accidents in urban areas.

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