Agent-based Traffic Operator Training Environments for Evacuation Scenarios


Handford, David, Rogers, Alex and Cross, Kevin (2011) Agent-based Traffic Operator Training Environments for Evacuation Scenarios. At 2011 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Lyon, France, 22 - 27 Aug 2011. (Submitted).

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Description/Abstract

Realistic simulation environments play a vital role in the effective training of traffic controllers to respond to large-scale events such as natural disasters or terrorist threats. BAE SYSTEMS is developing a training environment that comprises of: a physical traffic control centre environment, a 3D visualisation and a traffic behaviour model. In this paper, we describe how an agent-based approach has been essential in the development of the traffic operator training environment, especially for constructing the required behavioural models. The simulator has been applied to an evacuation scenario, for which an agent-based model has been developed which models a variety of relevant driver evacuation behaviours. These unusual behaviours have been observed occurring in real-life evacuations but to date have not been incorporated in traffic simulators. In addition, our agent-based approach includes flexibility within the simulator to respond to the variety of decisions traffic controllers can make, as well as achieving a strong degree of control for the scenario manager.

Item Type: Conference or Workshop Item (Speech)
Additional Information: Event Dates: 22-27 August 2011
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
ePrint ID: 272810
Date Deposited: 20 Sep 2011 09:05
Last Modified: 27 Mar 2014 20:18
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/272810

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