@inproceedings{d6160624df9f418bb3aa86742b53325b,
title = "A predictive collision avoidance model for pedestrian simulation",
abstract = "We present a new local method for collision avoidance that is based on collision prediction. In our model, each pedestrian predicts possible future collisions with other pedestrians and then makes an efficient move to avoid them. Experiments show that the new approach leads to considerably shorter and less curved paths, ensuring smooth avoidance behaviour and visually compelling simulations. The method reproduces emergent behaviour like lane formation that have been observed in real crowds. The technique is easy to implement and is fast, allowing the simulation in real time of crowds of thousands of pedestrians.",
keywords = "Collision avoidance, Interaction, Pedestrian simulation",
author = "Ioannis Karamouzas and Peter Heil and {Van Beek}, Pascal and Overmars, {Mark H.}",
year = "2009",
doi = "10.1007/978-3-642-10347-6_4",
language = "English (US)",
isbn = "3642103464",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "41--52",
booktitle = "Motion in Games - Second International Workshop, MIG 2009, Proceedings",
note = "2nd International Workshop on Motion in Games, MIG 2009 ; Conference date: 21-11-2009 Through 24-11-2009",
}