Iterative route planning for large-scale modular transportation simulations
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.
route planning traffic simulation transportation planning