The intelligent decision model for determine the best path of transportation on smart city using random forest algorithm and bayesian optimization (RF-BO)
Ahmad Fali Oklilas,
Milda Kamilia,
Abdurahman Abdurahman
et al.
Abstract:This study investigates various approaches and algorithms in the context of object detection and best path determination for managing vehicular traffic in an urban environment, particularly in Palembang city. This research is a step towards the development of smart city concept. In the object detection analysis, we applied the YOLOv3 method on video footage to identify vehicles, resulting in mAP accuracy rates between 72.72% to 79.35% for both motorcycle and car categories. The total detection accuracy of the … Show more
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