Dynamic traffic control: decentralized and coordinated methods
Dynamic traffic control: decentralized and coordinated methods
Equilibrium estimation based on unreliable information in transport networks by adaptive simulation
International Journal of Advanced Intelligence Paradigms
Multi-model based simulation platform for urban traffic simulation
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
Shortest-path queries in static networks
ACM Computing Surveys (CSUR)
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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 travel plans. (ii) Micro-simulation: Executes plans simultaneously; computes agent interactions, leading to congestion. (iii) Feedback: Iterates the above modules, resolving inter-dependencies. 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.