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CASE STUDY: MONITORING AND ANALYSIS OF TRAFFIC BEHAVIOR IN A SMALL-SCALE CITY
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Michal Kraus; Ales Kankovsky
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10.5593/sgem2023v/6.2
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1314-2704
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English
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23
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6.2
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• Prof. DSc. Oleksandr Trofymchuk, UKRAINE
• Prof. Dr. hab. oec. Baiba Rivza, LATVIA |
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The contribution unveils the outcomes of a case study conducted in Chotebor, Czech Republic, highlighting the pivotal role of long-term traffic analysis in fostering sustainable urban development. It exemplifies how cutting-edge technology and data can be instrumental in formulating more streamlined and eco-conscious urban blueprints. Within the framework of this initiative, surveillance cameras and traffic analysis software were deployed, yielding profound insights into the city's present dynamics and prospective demands. The findings of this case study signify that well-conceived urban infrastructure encompassing bypass routes and traffic optimization can notably amplify urban efficiency and sustainability. The study underlines the necessity for adaptability and flexibility in urban planning to effectively address unforeseen challenges. In its entirety, this research stands as a beacon of inspiration for municipalities aspiring to harness data and contemporary technology to steer towards sustainable and future-ready urban development.
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conference
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Proceedings of 23rd International Multidisciplinary Scientific GeoConference SGEM 2023
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23rd International Multidisciplinary Scientific GeoConference SGEM 2023, 28-30 November, 2023
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
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617-624
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28-30 November, 2023
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website
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9648
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traffic behavior, camera system, transit rare, data visualization, traffic intensity prediction
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