Continuous Activity Planning for a Continuous Traffic Simulation

摘要

This paper introduces a microscopic traffic simulation that continuously simulates activitybasedagent behavior. It drops iterative optimization, that builds on stochastic user equilibria,and moves to a continuous planning approach. The behavioral model of this approach utilizesthe concept of needs to model human demands. Several intuitive parameters control demandand facilitate calibration of versatile behaviors. These behaviors originate from a planningheuristic which makes just in time decisions about upcoming activities an agent should execute.The planning heuristic bases its decisions on the current need levels of an agent and thedevelopment of these levels in the near future. We illustrate the model through simulation runsand suggest directions of future research.