The University of Southampton
University of Southampton Institutional Repository

Agent-based Traffic Operator Training Environments for Evacuation Scenarios

Agent-based Traffic Operator Training Environments for Evacuation Scenarios
Agent-based Traffic Operator Training Environments for Evacuation Scenarios
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.
Handford, David
17089571-445b-4407-b847-ffa8be2e5bef
Rogers, Alex
f9130bc6-da32-474e-9fab-6c6cb8077fdc
Cross, Kevin
b751f8db-baac-49bc-9dea-ece83800e181
Handford, David
17089571-445b-4407-b847-ffa8be2e5bef
Rogers, Alex
f9130bc6-da32-474e-9fab-6c6cb8077fdc
Cross, Kevin
b751f8db-baac-49bc-9dea-ece83800e181

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

Record type: Conference or Workshop Item (Other)

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.

Text
Agent-based Traffic Operator Training Environments for Evacuation Scenarios.pdf - Other
Download (1MB)

More information

Submitted date: 2011
Additional Information: Event Dates: 22-27 August 2011
Venue - Dates: 2011 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Lyon, France, 2011-08-22 - 2011-08-27
Organisations: Agents, Interactions & Complexity, EEE

Identifiers

Local EPrints ID: 272810
URI: http://eprints.soton.ac.uk/id/eprint/272810
PURE UUID: 760c0485-cbdd-444b-8377-8c14a9f10f7d

Catalogue record

Date deposited: 20 Sep 2011 09:05
Last modified: 14 Mar 2024 10:10

Export record

Contributors

Author: David Handford
Author: Alex Rogers
Author: Kevin Cross

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×