Certificate in AI Traffic Forecasting and Planning
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โข Introduction to AI Traffic Forecasting: Basics of AI, Traffic Forecasting methods, Importance and Scope
โข Data Collection and Preprocessing: Traffic data sources, Data cleaning, Feature engineering
โข Time Series Analysis: ARIMA, SARIMA, Exponential Smoothing, Prophet
โข Machine Learning Techniques: Regression, Decision Trees, Random Forest, Neural Networks
โข Deep Learning Models: LSTM, GRU, CNN, Transformer models
โข AI-based Traffic Simulation: Microscopic and Macroscopic Simulation, Calibration and Validation
โข Traffic Flow Theory: Fundamentals of traffic flow, Jam Density, Wave Speed
โข Planning and Decision Making: Multi-objective Optimization, Reinforcement Learning
โข Implementation and Evaluation: Real-world applications, Performance Metrics, Case Studies
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