Smart Transportation & Intelligent Transportation Systems (ITS)

Course Introduction

The transportation sector is evolving rapidly with the integration of smart technologies and intelligent systems. This course offers in-depth knowledge of Smart Transportation and ITS, focusing on innovation, data integration, and technology-driven infrastructure to improve mobility, safety, and efficiency in urban transport systems.

Course Objectives

• Understand the key components and architecture of ITS.
• Explore smart traffic management, data analytics, and IoT applications.
• Learn about autonomous vehicles, EV infrastructure, and mobility-as-a-service (MaaS).
• Assess policies, standards, and funding models for smart transport.
• Develop strategies for ITS deployment and system integration.

Target Audience

• Transport engineers and infrastructure planners
• Smart city project managers and policy makers
• Traffic control and public transport officials
• ITS solution providers and consultants
• Urban mobility and road safety specialists

Course Modules (5 Days)

Day 1: Fundamentals of ITS and Smart Transport

1. ITS architecture and global trends
2. Role of digital transformation in mobility
3. Types of ITS: Advanced Traffic Management, Traveller Information, Public Transport Management
4. Stakeholder roles and ecosystem overview
5. Case study: National ITS masterplans

Day 2: ITS Technologies and Infrastructure

1. Smart sensors, IoT, and data acquisition
2. Vehicle-to-Everything (V2X) communication
3. Traffic signal control systems
4. Road user charging, e-tolling, and e-ticketing
5. Infrastructure requirements for smart mobility

Day 3: Urban Mobility and Data-Driven Decision Making

1. Big data analytics for transport planning
2. Real-time data integration for smart cities
3. Mobility as a Service (MaaS) platforms
4. Public transport optimization and micro-mobility
5. Interactive session: Building a smart mobility dashboard

Day 4: Innovation in Smart Transportation

1. Electric vehicles (EVs) and smart charging
2. Autonomous and connected vehicle systems
3. Shared mobility and ride-hailing platforms
4. AI and machine learning in traffic prediction
5. Workshop: Smart city transport innovation lab

Day 5: Strategy, Policy, and Implementation

1. Governance and institutional framework for ITS
2. Funding models and public-private partnerships
3. Standards and interoperability challenges
4. Sustainability and green mobility strategies

Final project presentations and evaluation