XCrowd : a realistic crowd simulation tool for efficient movement management

Appel, Jan; Weiler, Andreas

doi:10.21256/zhaw-30720

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-30720

Publication type:	Conference other
Type of review:	Peer review (publication)
Title:	XCrowd : a realistic crowd simulation tool for efficient movement management
Authors:	Appel, Jan Weiler, Andreas
et. al:	No
DOI:	10.21256/zhaw-30720
Proceedings:	Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference
Conference details:	6th International Workshop on Big Mobility Data Analytics (BMDA) during EDBT/ICDT Joint Conference, Paestum, Italy, 25 March - 28 March 2024
Issue Date:	25-Mar-2024
Publisher / Ed. Institution:	RWTH Aachen University
Publisher / Ed. Institution:	Aachen
ISSN:	1613-0073
Language:	English
Subjects:	Real-time crowd simulation; Crowd movement optimization; Graph network
Subject (DDC):	005: Computer programming, programs and data
Abstract:	This demo paper introduces XCrowd, a solution aiming to bridge the gap between theoretical crowd movement optimisation and real world operations. By simulating crowd movements on graph networks, XCrowd provides an efficient tool to evaluate crowd behaviour under specific conditions and, for example, validate the efficiency of a certain environment layout. We discuss the methodology, implementation, and potential implications for crowd movement management, as well as outline future directions, including scalability, integration with scheduling models, and addressing real-world dynamic factors.
URI:	https://ceur-ws.org/Vol-3651/BMDA-9.pdf https://digitalcollection.zhaw.ch/handle/11475/30720
Fulltext version:	Published version
License (according to publishing contract):	CC BY 4.0: Attribution 4.0 International
Departement:	School of Engineering
Organisational Unit:	Institute of Computer Science (InIT)
Appears in collections:	Publikationen School of Engineering

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Appel, J., & Weiler, A. (2024, March 25). XCrowd : a realistic crowd simulation tool for efficient movement management. Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference Co-Located with the EDBT/ICDT 2024 Joint Conference. https://doi.org/10.21256/zhaw-30720

Appel, J. and Weiler, A. (2024) ‘XCrowd : a realistic crowd simulation tool for efficient movement management’, in Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference. Aachen: RWTH Aachen University. Available at: https://doi.org/10.21256/zhaw-30720.

J. Appel and A. Weiler, “XCrowd : a realistic crowd simulation tool for efficient movement management,” in Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference, Mar. 2024. doi: 10.21256/zhaw-30720.

APPEL, Jan und Andreas WEILER, 2024. XCrowd : a realistic crowd simulation tool for efficient movement management. In: Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference [online]. Conference presentation. Aachen: RWTH Aachen University. 25 März 2024. Verfügbar unter: https://ceur-ws.org/Vol-3651/BMDA-9.pdf

Appel, Jan, and Andreas Weiler. 2024. “XCrowd : A Realistic Crowd Simulation Tool for Efficient Movement Management.” Conference presentation. In Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference Co-Located with the EDBT/ICDT 2024 Joint Conference. Aachen: RWTH Aachen University. https://doi.org/10.21256/zhaw-30720.

Appel, Jan, and Andreas Weiler. “XCrowd : A Realistic Crowd Simulation Tool for Efficient Movement Management.” Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference Co-Located with the EDBT/ICDT 2024 Joint Conference, RWTH Aachen University, 2024, https://doi.org/10.21256/zhaw-30720.