Dresden 2003 – scientific programme

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AKSOE: Physik sozio-ökonomischer Systeme

AKSOE 8: Urbane Systeme und Verkehrsdynamik

AKSOE 8.4: Talk

Wednesday, March 26, 2003, 17:30–18:00, BAR/205

Truly Agent-Based Strategy Selection for Transportation Simulations — •Kai Nagel and Bryan Raney — Institute for Computational Science, ETH Zurich

Multi-agent transportation simulations represent travelers as individual “agents,” who make independent decisions about their actions. We are implementing such a simulation for all of Switzerland, which is composed of modules that model those decisions for each agent, such as: (i) Route planner: Generates routes. (ii) Micro-simulation: Executes routes simultaneously; computes agent interactions, leading to congestion. (iii) Feedback: Iterates the above modules, resolving interdependencies. We discuss the operation of these modules, and focus on improvements made to the feedback system, such as an agent “memory” that allows agents to choose among previously used routes based on their past performance. We also show results of an implementation of a large scale scenario (more than 1 million agents) in Switzerland.