From Individual Automated Vehicles to Cooperative Traffic Management (IAVTRM)

Background

Automated driving has great potential to improve road safety, traffic flow efficiency and fuel economy and automation technology has been successfully demonstrated on public roads. However, before automation can be introduced in consumer cars, benefits and risks shall be evaluated in complex real world driving conditions with real human ‘drivers’ interacting with other road users. The IAVTRM project’s aim is to investigate highly automated driving with 1) individual automated vehicles, 2) cooperative platoons, and 3) cooperative traffic management through infrastructure communication.

Goal of the project

1. To design new algorithms for automated driving of individual vehicles and their safe platooning will be designed.
2. To develop innovative human-machine interfaces, enabling safe transitions between manual and automated driving.
3. To investigate the human interaction with automation in driving simulators, on a test track, on a closed highway and in mixed traffic on public highways.
4. To examine the influence of individual and cooperative automation with increasing penetration levels on road safety, traffic flow efficiency, road capacity and fuel economy.

Work programme

The research in DCSC is related to the following work packages of IAVTRM project:

• The development of algorithms for automated path-following, lane keeping and changing, merging and overtaking with cooperative adaptive cruise control (CACC).
• Algorithms for safe and fault-tolerant vehicle platooning and analysis of their influence on the traffic flow and fuel efficiency.
• Mathematical analysis of microscopic traffic flow models, describing interactions of automated vehicles, human drivers and other road users.

Project team members

• dr. Anton V. Proskurnikov
• dr. ir. Manuel Mazo

Other team members from TU Delft:

• <link organisatie afdelingen cognitive-robotics-cor people dr-ir-r-happee>dr.ir. Riender Happee (Cognitive Robotics)
• ir. Jork Stapel (Cognitive Robotics)
• ir. Freddy Mulakkal Babu (Transport & Planning)

Keywords

Automated driving, intelligent vehicle, cooperative adaptive cruise control (CACC), platooning, traffic flow modeling.

Sponsored by

NWO Domain TTW