SAN ANTONIO, TX, Jan. 26 - Urban roads can be overwhelmed during disaster evacuations, such as during Hurricane Katrina. As smartphone technology advances and proliferates, Southwest Research Institute is developing and applying agent-based modeling techniques to study how providing evacuation route information via smartphone affects urban traffic congestion.

Agent-based models simulate the actions and interactions of autonomous agents, such as individual vehicles, to better understand how their actions affect an overall system, such as roadway traffic. Combining elements of game theory, complex systems, emergence, computational sociology, multi-agent systems and evolutionary programming, the SwRI model uses Monte Carlo methods to introduce randomness. By modeling the simultaneous operations and interactions of multiple agents, SwRI engineers are seeking to better understand, re-create and predict complex phenomena, specifically how personalized mapping can facilitate mass evacuations of urban areas.

"As the number of vehicles crowding existing highway infrastructure increases, the effects of congestion range from minor irritation and loss of productivity to increased fuel use and pollution," says Paul Avery, a senior research engineer in the SwRI Intelligent Vehicle Systems Section. "In the case of a disaster evacuation, road systems can become so overburdened that the risk of injury and death greatly increases."

With more than 20 years of experience in intelligent traffic systems research and development, SwRI created an agent-based traffic system model based on the San Antonio highway system, where individual vehicles, created as separate agents, interact with other vehicles. The simulations look at traffic congestion under extreme conditions, such as when a mass evacuation is under way, and how that is affected when a small percentage of vehicles are provided with a personalized evacuation route via smartphone.

"Our simulations indicate that when targeted information about traffic conditions is provided through a smartphone app, driver behavior can be modified to improve the overall traffic flow and help decrease congestion," says Ryan Lamm, IVS manager at SwRI. "This application is a new approach for using an emerging technology to increase driver mobility and safety within the existing infrastructure."

Headquartered in San Antonio, Texas, SwRI is one of the oldest and largest independent, nonprofit, applied research and development organizations in the United States, providing creative solutions to complex problems for more than 60 years. The Institute is uniquely qualified to support the intelligent transportation, automotive and related industries, overcoming today's technical challenges and meeting tomorrow's goals in transportation systems.

SwRI is an independent, nonprofit, applied research and development organization based in San Antonio, Texas, with more than 3,200 employees and an annual research volume of more than $564 million. Southwest Research Institute and SwRI are registered marks in the U.S. Patent and Trademark Office. For more information about Southwest Research Institute, please visit newsroom.swri.org or www.swri.org .

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