An improved replanning module for agent-based micro simulations of travel behavior

Abstract

An external strategy module for an agent-based micro simulation of traffic systems is presented. It modifies activity durations and departure times of activity plans, which are the agent-based representation of travel demand. The module combines broad search for alternative timing decisions with an optimization procedure of a utility function. The idea is to replace a replanning module that changed timing decisions randomly. Main results are relaxation of the whole simulation system to a better stationary state, and much quicker convergence. The difference in overall performance compared to the previous implementation of the replanning module is one order of magnitude.