Academic projects aim to be at the forefront of scientific research and innovation, contributing to the discovery and dissemination of new knowledge across various disciplines. Intelligent Transportation Systems (ITS) bring together technological advancements and scientific research to enhance transportation in terms of efficiency, sustainability, comfort, safety, and user-friendliness. Academic projects carried out with the support of ITS Türkiye members and stakeholders are presented below for the benefit of the industry.

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1- Real-Time Video Stream Analysis and Malicious Activity Detection Project Using Deep Learning Methods in Traffic Monitoring Cameras

Traffic Monitoring systems, which are crucial components of smart transportation and smart city concepts, are utilized in the development of effective solutions to numerous issues related to transportation and urban life through the analysis of data obtained from cameras. The analysis of information acquired from cameras, essential elements of urban and interurban transportation infrastructure, through artificial intelligence and deep learning techniques, ensures the efficient functioning of decision-making mechanisms. Moreover, it contributes to the establishment of smart transportation systems and the achievement of short, medium, and long-term goals for smart city living.

In this context, the real-time video stream analysis and malicious activity detection from traffic observation cameras using hybrid deep learning methods aim to achieve a higher success rate compared to similar approaches. The project aims to develop an artificial intelligence model in a field encompassing transportation and information disciplines, which can be utilized in smart transportation and smart city projects, activities, and initiatives in our country. This model aligns with the strategies of the European Green Deal, contributing to the support of sustainable and intelligent practices.

For more information about the project, click here.

To access the project introduction presentation, click here.

For the project introduction webinar video, click here.