Towards Behavioral-aware Crowd Management System

Instances of casualties resulting from large crowds persist, highlighting the existing limitations of current crowd management practices. One notable drawback is the insufficient provision for disadvantaged individuals who may require additional time to evacuate due to their slower running speed. Moreover, the existing escape strategies may fall short of ensuring the safety of all individuals during a crowd surge. To address these pressing concerns, this paper proposes two crowd management methodologies. Firstly, we advocate for the implementation of a fair evacuation strategy following a surge event, which takes into account the diverse needs of all individuals, ensuring inclusivity and mitigating potential risks. Secondly, we propose a preventative approach involving the adjustment of attraction locations and switching between stage performances in large-crowded events to minimize the occurrence of surges and enhance crowd dispersion. To assess the effectiveness of our proposals, we used high-fidelity crowd management simulators. Our findings demonstrate the positive impact of the fair evacuation strategy on safety measures and inclusivity, which increases fairness by 41.8% on average. Furthermore, the adjustment of attraction locations and stage performances has shown a significant reduction in the incidence of surges by 34% on average, thereby enhancing overall crowd safety.