Implementations of within day replanning in MATSim-T

Abstract

Typical software that is used for the simulation of traffic behavior focuses on scenarios that describe common situations like an ordinary working day without remarkable incidents. To simulate such scenarios iterative approaches are used. They assume that the simulated persons act on the results of the previous iterations. Such iterative approaches produce meaningful results for various scenarios as long as only typical, repetitive situations are modeled. On the other hand a scenario may also contain incidents that occur by chance, which increases the complexity of the needed model significantly. In such scenarios an iterative approach would produce illogical and even totally wrong results. An attempt to handle such scenarios is Within Day Replanning. This paper describes the implementation of two Within Day Replanning modules in the multiagent micro-simulation framework MATSim-T. These modules allow the simulated agents to replan the routes between their activities individually while they are traveling. By doing this, they can take the current traffic load into account which is needed for scenarios which contain unpredictable incidents like road accidents.