Day 1: Introduction to Intelligent Traffic Management

• Concept and importance of intelligent traffic management

• Urban traffic challenges

• Components of intelligent traffic management systems

• Standards and key technologies

• Economic and environmental benefits

Day 2: Data Collection and Monitoring Technologies

• Traffic sensors and smart detection systems

• Cameras and video surveillance systems

• Use of satellite and GPS technologies

• Wireless communication systems in transportation

• Data processing and analytics

Day 3: Intelligent Traffic Signal Control

• Adaptive Traffic Control Systems (ATCS)

• Traffic flow management and optimization

• Congestion prediction techniques

• Signal coordination across urban networks

• Practical applications and successful examples

Day 4: Integration with Other Intelligent Transport Systems

• ITS and network integration

• Incident and emergency management

• Variable Message Signs (VMS) for user information

• Integration with public transport and smart payment systems

• Cybersecurity in traffic management systems

Day 5: Future Trends, Challenges, and Practical Applications

• Artificial intelligence and machine learning in traffic management

• Autonomous vehicles and their impact on urban traffic

• Regulatory and technical challenges

• Global case studies

• Workshop: Developing an intelligent traffic management plan for an urban city