Claudio Feliciani gained his Ph.D. from the Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, Japan, in 2017. He is currently Project Associate Professor at the same institution. Although having a background in engineering, he has always had a profound interest on social sciences. As a consequence, his research path has naturally drawn him to pedestrian traffic and crowd management, a crossroad between engineering and social sciences. In this context, he made use of his knowledge on physics and mathematics to create methods to assess crowd condition and develop models for simulation. He has published several journal articles and conference papers, and has one patent registered in his name. In 2021, he had been co-awarded the Ig Nobel Prize in kinetics for a research on the disruption caused by pedestrians distracted by mobile phone use. Beside academic research he has also been active as a volunteer firefighter for several years.

Katsuhiro Nishinari received his Ph.D. in aerospace engineering from The University of Tokyo, Japan, in 1995. He is currently a professor at the Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, Japan. His research interests include Jamology, which is an interdisciplinary research on transportation, and jamming phenomena include vehicular traffic, pedestrian motion, queueing networks and supply chain by means of applied mathematics, fluid dynamics and statistical physics. He organizes a number of international conferences including ACRI, C&CA and TGF. He has published more than a hundred research papers in leading international journals and several books concerning traffic jams and applied mathematics. In addition, he has been engaged as an advisor of the 2020 Tokyo Olympics and Paralympics Games.

Addresses methods and technologies used in managing and controlling crowds

Provides numerous images and tables to clearly illustrate the key points

Offers both theoretical background information and practical advice

1. Crowd Management and its Definition.- 2. Crowd Properties and Characteristics.- 3. Crowd Incidents and their Analysis.- 4. Risk Assessment.- 5. Pedestrian and Crowd Sensing.- 6. Crowd Simulators: Computational Methods, Product Selection, and Visualization.- 7. Crowd Control Methods: Established and Future Practices.- 8. Planning.- 9. Conclusion: Seven Knows.