AI and IoT in Smart Urban Transport
( 25 Modules )

Module #1
Introduction to Smart Urban Transport
Overview of the concept of smart urban transport, its benefits, and importance in modern cities

Module #2
Fundamentals of Artificial Intelligence (AI)
Basic concepts and principles of AI, including machine learning, deep learning, and computer vision

Module #3
Introduction to Internet of Things (IoT)
Overview of IoT, its architecture, and applications in urban transportation

Module #4
Sensing Technologies in IoT
Types of sensors used in IoT applications, including GPS, accelerometers, and cameras

Module #5
Data Analytics for Smart Urban Transport
Introduction to data analytics in smart urban transport, including data sources, processing, and visualization

Module #6
AI for Traffic Management
Applying AI techniques for traffic signal control, traffic flow optimization, and incident management

Module #7
IoT for Intelligent Transportation Systems (ITS)
Using IoT for real-time monitoring and control of transportation infrastructure, including traffic signals and parking systems

Module #8
Smart Parking Management with IoT
Designing and implementing smart parking systems using IoT sensors and data analytics

Module #9
AI-powered Traffic Prediction
Using machine learning algorithms for traffic prediction, including short-term and long-term forecasting

Module #10
IoT-enabled Public Transit Systems
Improving public transit services using IoT, including bus tracking, route optimization, and passenger information systems

Module #11
Autonomous Vehicles and AI
Overview of autonomous vehicles, including their architecture, benefits, and challenges

Module #12
V2X Communication and IoT
Vehicle-to-Everything (V2X) communication, including V2V, V2I, and V2P, using IoT protocols

Module #13
Smart Road Infrastructure with IoT
Implementing smart road infrastructure using IoT, including intelligent lighting, traffic monitoring, and incident management

Module #14
Cybersecurity in IoT-based Smart Urban Transport
Threats, vulnerabilities, and countermeasures for securing IoT devices and data in smart urban transport

Module #15
Data-driven Urban Planning with IoT
Using IoT data for urban planning, including urban mobility, land use, and infrastructure development

Module #16
AI-powered Mobility-as-a-Service (MaaS)
Using AI for MaaS, including demand prediction, route optimization, and personalized mobility services

Module #17
IoT-enabled Freight and Logistics Management
Improving freight and logistics operations using IoT, including real-time tracking, route optimization, and supply chain management

Module #18
AI for Pedestrian and Cyclist Safety
Using AI for pedestrian and cyclist safety, including accident prediction, detection, and prevention

Module #19
Smart Urban Planning with AI and IoT
Using AI and IoT for sustainable urban planning, including smart zoning, land use, and transportation system design

Module #20
IoT-enabled Emergency Response Systems
Using IoT for rapid emergency response, including ambulance, fire, and police services

Module #21
AI-powered Urban Traffic Simulation
Using AI for urban traffic simulation, including scenario modeling, traffic forecasting, and infrastructure planning

Module #22
Case Studies in AI and IoT for Smart Urban Transport
Real-world examples and case studies of AI and IoT applications in smart urban transport

Module #23
Ethics and Privacy in AI and IoT for Smart Urban Transport
Ethical considerations and privacy concerns in AI and IoT applications for smart urban transport

Module #24
Future Directions in AI and IoT for Smart Urban Transport
Emerging trends, challenges, and opportunities in AI and IoT for smart urban transport

Module #25
Course Wrap-Up & Conclusion
Planning next steps in AI and IoT in Smart Urban Transport career

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AI and IoT in Smart Urban Transport ( 25 Modules )

AI and IoT in Smart Urban Transport
( 25 Modules )