Certificate in Traffic Data Analysis for Urban Planning
-- ViewingNowThe Certificate in Traffic Data Analysis for Urban Planning is a comprehensive course that equips learners with essential skills for career advancement in urban planning and traffic management. This program emphasizes the importance of data-driven decision-making in designing and maintaining efficient transportation systems.
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โข Introduction to Traffic Data Analysis – defining traffic data, understanding its importance in urban planning, and introducing the key concepts and terminologies.
โข Data Collection Methods – exploring various methods of data collection such as manual counts, automatic traffic counters, video detection, and sensor technology.
โข Data Analysis Techniques – discussing statistical methods and data analysis tools to interpret traffic data, including data visualization and presentation techniques.
โข Traffic Flow Theory – covering traffic flow fundamentals, capacity, and level of service, and understanding how these concepts impact urban planning.
โข Traffic Simulation – introducing micro-simulation and macro-simulation models, their applications, and limitations in predicting traffic patterns and congestion.
โข Transportation Planning Policies – discussing transportation policies and their implications for urban planning, including sustainable transportation and multimodal planning.
โข Traffic Impact Analysis – understanding the purpose, methodology, and regulatory framework of traffic impact studies, and interpreting their results.
โข Intelligent Transportation Systems (ITS) – exploring the role of ITS in traffic management, its components, and applications for improving traffic flow and safety.
โข Case Studies – analyzing real-world examples of successful traffic data analysis applications in urban planning.
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