Review of Modelling and Simulating Crowds at Mass Gathering Events: Hajj as a Case Study Almoaid Owaidah1, Doina Olaru2, Mohammed Bennamoun1, Fer- dous Sohel3,1, Nazim Khan4 1Department of Computer Science and Soware Engineering, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia 2Business School, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia 3College of Science, Health, Engineering and Education, Murdoch University, 90 South Street, Murdoch 6150 Australia 4Department of Mathematics and Statistics, The University of Western Australia, 35 Stirling Highway, Craw- ley WA 6009, Australia Correspondence should be addressed to
[email protected] Journal of Artificial Societies and Social Simulation 22(2) 9, 2019 Doi: 10.18564/jasss.3997 Url: http://jasss.soc.surrey.ac.uk/22/2/9.html Received: 30-06-2018 Accepted: 08-03-2019 Published: 31-03-2019 Abstract: The Hajj is an Islamic pilgrimage that involves four main holy sites in Makkah, Saudi Arabia. As the number of participants (pilgrims) attending these events has been increasing over the years, challenges have arisen: overcrowding at the sites resulting in congestion, pilgrims getting lost, stampedes, injuries and even deaths. Although Hajj management authorities have employed up-to-date facilities to manage the events (e.g., state-of-the-art infrastructure and communication technologies, CCTV monitoring, live crowd analysis, time scheduling, and large well-trained police forces and scouts), there is still overcrowding and “unexpected” prob- lems that can occur at the events. These problems can be studied and mitigated by prior simulation, which allows for preparation and deployment of the most appropriate plans for crowd management at Hajj events.