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Smart city article details

Title	Developing Intelligent System Of Transportation Data Survey Using Deep Learning In Al-Kut City
ID_Doc	19460
Authors	Abdali M.; Abdulwahid H.; Alwan K.
Year	2024
Published	AIP Conference Proceedings, 2864, 1
DOI	http://dx.doi.org/10.1063/5.0186132
Abstract	Manual traffic surveys take a lot of time and effort as they require many human resources to conduct transportation surveys. Incorporating some level of automation (smart surveys) can help reduce the workload of human operators performing manual surveys and reduce the time and cost of obtaining that data. Intelligent surveys have become more important than ever due to the significant development in technology and the trend towards smart cities that are managed by various intelligent systems, including the transportation system. This paper develops a new method for intelligent surveys of real-time transport data using deep learning. In this research, a system was programmed to determine the types, counts, and speeds of vehicles passing through a specific road section by using the comprehensive database of video surveillance data obtained using high-resolution digital cameras. In addition, an application has been programmed to display the traffic situation in real-time to road users. In general, the results showed that the proposed method works as required and under different conditions without being significantly affected by weather conditions. The software also achieved high results in the accuracy of counting and classifying vehicles, reaching 98%, and regarding the accuracy of calculating the speed of vehicles, it reached 97%. © 2024 Author(s).
Author Keywords	artificial intelligence; deep learning; intelligent transportation system; map application; smart cities; Traffic surveys; traffic volume

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