TRAF*MAN Project Update – (Integrating Terrain & AI for Highways Agency)

Our UK Technology Strategy Board SBRI Funded TRAF*MAN project for the UK Department of Transportation/Highways Agency is progressing well.

We had an interesting international team meeting yesterday on the virtual M42 (the location of the simulation) we imported into OLIVE . The meeting was to discuss how to best calibrate the Artificial Intelligence (AI) software which will control vehicles with various driver behaviours  to ensure accuracy and fidelity. Our 3D artist suggested we meet in-world to provide the context for our discussion which  was very helpful (and fun!).

TRAF*MAN Project Meeting on Virtual M42

TRAF*MAN Project Team Meeting

Here’s an overview of the project:

TRAF*MAN Visual Interactive & Intelligent Motorway Management Simulation System

TRAF*MAN will create an immersive synthetic visual environment for modelling and managing incidents on Managed Motorways. The innovative aim of TRAF*MAN is to merge known network performance data with autonomous virtual ‘vehicle drivers’ whose dynamic decision-making is in response to real time triggers – signs, signals, tailbacks, lane closures, opening or closing of the hard shoulder – all presented in a virtual environment.

The prime focus of TRAF*MAN will be on the behaviours of the two main human elements in the system namely, the Control Room Operators in Regional Control Centres and the vehicle drivers. Other road responder behaviours e.g. Traffic Officers, Police, Incident Support Unit can be added as required downstream. Centrally, a ‘controller’ role will be an integral part of TRAF*MAN being able to simulate realistic incident scenarios by adjusting system parameters, introducing planned or random events, and recording data and events in preparation for an exercise or dynamically during the exercise. This ‘record and review’ function can also be used for ‘hot’ and ‘cold’ debriefs or as a mechanism to prompt reflection by professionals using the system.

TRAF*MAN is being led by Ambient Performance with partners  Masa Group and Coram UK .

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