Global Certificate in AI Traffic Forecasting and Analysis
-- ViewingNowThe Global Certificate in AI Traffic Forecasting and Analysis is a timely and essential course that meets the growing industry demand for AI-driven traffic management solutions. This certificate course empowers learners with the latest AI techniques and tools to analyze and forecast traffic patterns, enabling them to develop data-driven strategies for reducing congestion and improving transportation efficiency.
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โข Introduction to AI Traffic Forecasting: Basics of AI, Machine Learning, and Deep Learning; Overview of Traffic Forecasting
โข Data Collection and Preprocessing: Data Sources, Data Types, Data Cleaning, and Feature Engineering
โข Traffic Simulation Models: Microscopic, Macroscopic, and Mesoscopic Simulation Models
โข Time Series Analysis: Autoregressive Integrated Moving Average (ARIMA), State Space Models, and Vector Autoregression (VAR)
โข Machine Learning Techniques for Traffic Forecasting: Regression, Decision Trees, Random Forest, and Support Vector Machines
โข Deep Learning Architectures: Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), and Convolutional Neural Networks (CNN)
โข Evaluation Metrics for Traffic Forecasting: Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE)
โข Real-time Traffic Forecasting and Analysis: Streaming Data Processing, Real-time Analytics, and Visualization
โข AI Traffic Forecasting Applications: Intelligent Transportation Systems, Smart Cities, and Mobility as a Service (MaaS)
โข Ethics and Regulations in AI Traffic Forecasting: Data Privacy, Bias Mitigation, and Legal Compliance
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