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A roadmap for the future of crowd safety research and practice: Introducing the Swiss Cheese Model of Crowd Safety and the imperative of a Vision Zero target
Haghani, Milad, Coughlan, Matt, Crabb, Ben, Dierickx, Anton, Feliciani, Claudio, van Gelder, Roderick, Geoerg, Paul, Hocaoglu, Nazli, Laws, Steve, Lovreglio, Ruggiero, Miles, Zoe, Nicolas, Alexandre, O'Toole, William J., Schaap, Syan, Semmens, Travis, Shahhoseini, Zahra, Spaaij, Ramon, Tatrai, Andrew, Webster, John, Wilson, Alan
Published in Safety science (01.12.2023)
Published in Safety science (01.12.2023)
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Real-Time Pilgrims Management Using Wearable Physiological Sensors, Mobile Technology and Artificial Intelligence
Al-Shaery, Ali M., Aljassmi, Hamad, Ahmed, Soha G., Farooqi, Norah S., Al-Hawsawi, Abdullah N., Moussa, Mohammed, Tridane, Abdessamad, Alam, Md. Didarul
Published in IEEE access (2022)
Published in IEEE access (2022)
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Tracking subjects and detecting relationships in crowded city videos
Elias, Petr, Macko, Matus, Sedmidubsky, Jan, Zezula, Pavel
Published in Multimedia tools and applications (01.02.2024)
Published in Multimedia tools and applications (01.02.2024)
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Dynamic response and hydrodynamics of polarized crowds
Bain, Nicolas, Bartolo, Denis
Published in Science (American Association for the Advancement of Science) (04.01.2019)
Published in Science (American Association for the Advancement of Science) (04.01.2019)
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Nonreciprocal interactions in crowd dynamics: Investigating the impact of moving threats on pedestrian speed preferences
Xie, Shaocong, Ye, Rui, Li, Xiaolian, Huang, Zhongyi, Cao, Shuchao, Lv, Wei, He, Hong, Zhang, Ping, Fang, Zhiming, Zhang, Jun, Song, Weiguo
Published in Transportation research. Part C, Emerging technologies (01.05.2024)
Published in Transportation research. Part C, Emerging technologies (01.05.2024)
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Enhancing real human detection and people counting using YOLOv8
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