1. The role of traffic management in automated driving Siebe Turksma

2. Bottom-up optimisation?

3. Some guidance needed

4. Area wide optimisation  Bottom-up automation is not the answer, but  Intelligent vehicles work as intelligent sensors  Intelligent vehicles give new types of information  Automated vehicles will more readily accept guidance from area-wide optimisation o Better compliance  improved performance o Better compliance  new challenges for stability

5. Local optimisation / control  Local infra-based optimisation benefits  Optimisation criteria can be based on network policies o Network-wide o Environment  Non-automated vehicles are integrated  Local intelligence can act as conductor  Each vehicle plays it’s own part, but acts according to a common score  Local intelligence shapes conditions for safety

6. Early gains from limited automation – typical scenario

7. Early gains from limited automation – infra assisted

8. Evolution of Urban Traffic Control Opportunity Shaping Control (close to Fixed Time)

9. Evolution of local controller  From:  Device with infra-based sensors  Actuation through man-interpreted signals  Lot’s of cables, physical sensors and actuators  Difficult to configure  Expensive  (prime example: Traffic Light Controller)  To:  Network of sensors and control nodes o Traffic control o Lighting control  Cooperative communication  Communication node  Local optimisation (as part of an area network)  Self-configuring  Inexpensive  Unobtrusive