Paper Title :Vehicle Counting and Monitoring of The Intelligent Transportation System in Nukus City
Author :Alpamis Kutlimuratov, Abdinabi Mukhamadiyev, Sukhbat Abdurakhimov
Article Citation :Alpamis Kutlimuratov ,Abdinabi Mukhamadiyev ,Sukhbat Abdurakhimov ,
(2023 ) " Vehicle Counting and Monitoring of The Intelligent Transportation System in Nukus City " ,
International Journal of Management and Applied Science (IJMAS) ,
pp. 40-45,
Volume-9,Issue-10
Abstract : The growing number of vehicles on the road necessitates accurate and efficient detection methods to obtain
valuable data for detecting traffic congestion, contributing to effective traffic management. The major goal of this research
was to create a real-time system for counting automobiles that is both accurate and dependable in order to reduce congestion
in traffic in a given location. This research proposes a system that can properly count automobiles inside a given area by
recognizing and tracking them as they move around the area. To improve the system's precision, we employed the highperformance
and computationally efficient YOLO version 5 system for vehicle recognition, while vehicle tracking and
counting were achieved through the DeepSort approach, along with the proposed simulated loop technique. Following the
implementation of the proposed system, the testing of YOLOv5 yielded a detection precision rate with a mean average
precision (mAP) of 98.0%. The integration of YOLOv5 with the Deep Sort and simulated loop algorithms enabled the
system to successfully detect, track, and count various types of vehicles.
Keywords - Intelligent transportation system, Object detection, CNN, YOLOv5.
Type : Research paper
Published : Volume-9,Issue-10
DOIONLINE NO - IJMAS-IRAJ-DOIONLINE-20283
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Copyright: © Institute of Research and Journals
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Published on 2023-12-20 |
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