Intelligent transport systems (ITS) use ICT to deliver transport system improvements as an alternative to expanding physical infrastructure, thereby saving on investments and reducing environmental impact. ITS applications contribute to cleaner and safer transport, enhance economic growth, and hold the promise for sustainable mobility solutions for a future flourishing society.

• Part I: Introduction
• Chapter 1: History and deployment of (Cooperative) Intelligent Transport Systems
• Part II: Needs and methods
• Chapter 2: Challenges in the evaluation of automated driving
• Chapter 3: Field operational tests (FOTs) - (still) the ultimate answer to impact assessment?
• Chapter 4: Driving the future: role of artificial intelligence in road vehicles
• Chapter 5: Assessment method for prioritising transport measures and infrastructure development
• Chapter 6: Evaluation of ITS: opportunities and challenges in the era of new pervasive technology
• Part III: Intelligent Transport Systems evaluation results
• Chapter 7: The potential benefits of heavy goods vehicle (HGV) platooning
• Chapter 8: C-ITS deployment in Australia - achievements and key learnings
• Chapter 9: C-ITS evaluation on C-Roads - findings from C-Roads Germany
• Chapter 10: Impact assessment of large-scale C-ITS services in Greece
• Chapter 11: A system architecture for the deployment of autonomous mobility on-demand vehicles
• Chapter 12: Robust cooperative perception for intelligent transport systems
• Chapter 13: Cooperative architecture for transportation systems (CATS): assessment of safety and mobility in vehicular convoys
• Chapter 14: Traffic management using floating car data in low- and middle-income countries
• Chapter 15: European ITS Platform: evaluating the benefits and impacts of ITS corridors
• Part IV: Discussion and conclusions
• Chapter 16: Key findings and the future of Intelligent Transport Systems