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Professor Amer Shalaby focuses his research on crowds and congestion, both at the local and global levels, with particular emphasis on disruption management. This work intends to help transportation authorities to respond more effectively to unexpected impediments or crises within a network, and permit the rerouting of passengers without seriously affecting migration patterns. As this work continues to evolve it will have ramifications for predicting crowd behaviours on micro levels, such as subways and other public transit applications, where large crowd congestions occur
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TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE (2024): 103922
European Journal of Operational Research (2024)
TRANSPORTATION RESEARCH RECORDno. 3 (2024): 190-206
TRANSPORT POLICY (2024): 183-197
Physica A: Statistical Mechanics and its Applicationspp.129576, (2024)
JOURNAL OF TRANSPORT GEOGRAPHY (2024): 103763
TRANSPORTATION RESEARCH RECORD (2023)
IEEE Transactions on Intelligent Transportation Systemsno. 8 (2023): 7920-7931
Research Square (Research Square) (2023)
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