作者: Nicole Ronald , Theo Arentze , Harry Timmermans
DOI: 10.1016/J.COMPENVURBSYS.2015.09.005
关键词: Artificial intelligence 、 Verification and validation of computer simulation models 、 Process validation 、 Structure (mathematical logic) 、 Engineering 、 Machine learning 、 Process (engineering) 、 Set (psychology) 、 Social network 、 Sensitivity (control systems) 、 Order (exchange)
摘要: Abstract Model validation is a significant issue for the modelling of social network-based transportation models because many interacting components (the individuals, environment, and now network) in model. In this paper we focus on sensitivity analysis such model, which part larger approach known as process validation. This investigates both structure behaviour to evaluate whether model can be used prediction. The draws novel set experiments with an agent-based was developed explore effects networks activity travel behaviour. Several versions were created, beginning single day no interaction, then adding multi-day runs interactions, order demonstrate process. argues that testing at different levels complexity increases confidence makes it easier locate or functionality require improvement. It concludes by suggesting should adopted complex models.