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The Contribution of Intelligent Systems (IS) on Transport and Planning Studies
Abstract
Intelligent Systems (IS) have emerged as a key tool in revolutionizing transport and urban planning studies by providing innovative solutions. They have supplied transport planners with robust predictive modeling capabilities incorporating artificial intelligence and machine learning. They predict traffic patterns, optimize routes, and anticipate fluctuations in demand. They improve situational awareness, dynamic traffic management, and reduce congestion. These systems are key in optimizing land use, improving accessibility, and promoting sustainable development. In summary, they represent a paradigm shift in transport and planning studies. Intelligent Transport Systems (ITS) are an umbrella under which all transport-related systems are grouped. Therefore, all applications under the umbrella of ITS in cities are carried out to make transport and planning studies more intelligent. In this study, the importance and contribution of ITS in transportation and planning studies are examined and it is aimed to be a guide for future studies.
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