Activity rescheduling within a multi-agent transport simulation framework (MATSim)

Abstract

People’s desire or the need to perform certain activities during the day drives their activity- scheduling decisions. However, these decisions are dependent on the state of the transportation system, its supply and demand. The need for the tools able to deal with the kind of adaptations to the daily plans that come with these decisions, is ever growing. The introduction of new modes and services and the fast approaching era of autonomous vehicles, among other things, has increased the need for suitable tools to look at the induced/suppressed demand effects on the activity schedules. The work in this paper presents a methodology for the adaptation of the activity schedules inside of the multi-agent transport simulation (MATSim), based on the changes of supply in the system. The first results show that the proposed methods are able to adapt people’s schedules when they are faced with shorter or longer travel times and this with only 10% in the computation time. However, further development is needed in order to more realistically represent human behavior, which is discussed at the end of this paper.