A Mobility Model of Theme Park Visitors

We present a novel human mobility model for theme parks. In our model, the non-determinism of move-ment decisions of visitors is combined with deter-ministic behavior of attractions. The attractions are categorized as rides, restaurants, and live shows. The time spent at these attractions are computed using queueing-theoretic models. The realism of the model is evaluated through extensive simulations and compared with existing mobility models and the GPS traces of theme park visitors. The results show that our proposed model provides a better match to the real-world data (from CRAWDAD archive) com-pared to current state-of-the-art movement models