SOCIONICAL

Extending Traffic Models to include Ambient Intelligence

Project Description

The project “SOCIONICAL” will advance Complexity Science modelling methods through the exploration of two project scenarios. Both scenarios capture relationships between humans and devices with ‘Ambient Intelligence’ (AmI). The two scenarios are:

• Emergency Evacuation
• Future Traffic Systems

The project brings together 14 partners from across the EU. These include groups with,

• expertise in various complexity science based modelling methods
• experience in real evacuations and evacuation simulation
• experience in driving simulation and driving device interaction
• expertise in translating complex scientific results into practical public policy recommendations

 

Tasks of the Chair

The chair will work on extending existing analytical traffic models to include AmI interactions. The central tasks are to describe in detail a sub-scenario of a broader ‘AmI in traffic’ description, create a suitable data set and model the scenario effectively. Work will be carried out closely with other partners in order to feed realistic decision data into the model, and our results will then be communicated to other modelling partners.

Work at the chair will consider future traffic optimization systems, where both inside and outside the vehicle, the goal will be to minimize congestion, recover from unexpected events, and facilitate cooperative behaviour. Already, some cars are equipped with a combination of both automatic/adaptive cruise control (ACC) systems and navigational aids with congestion updates via the Radio Data System (RDS-TMC). In addition, it is predicted that systems of the future will advise drivers of the intentions of other drivers and queues of drivers at junction points, in order to enhance considerate behaviour. Based on this information, a system may make a recommendation, but the driver must decide what to do.