Organizers of international as well as national events, despite supported by governmental agencies, con-tinue to be baffled and inundated with challenges in crowd control. In particular, ensuring and influencing accepta-ble crowd behaviors to avoid major catastrophes. Current studies emphasized optimization of advent smart technol-ogy to simulate and monitor crowd movement. The latter facilitates the involvement of relevant agencies in their reactive real time decision-making. However, such reactive decision could be far too late to avoid catastrophes. There is a lack of evidence to substantiate the use of positive psychology to manage large crowd. Positive psycholo-gy instigates fostering individual positive attitudes that develops optimism in one’s subjective experiences. It reduc-es, if not eliminates, pathological thoughts. Likewise, there is no research evidence that addresses how to motivate orderly dispersing of crowd. This position paper extends a comparative analysis on existing crowd management in-itiatives and propose a framework that optimizes Internet-of-Things in gathering situational data within a given area. Using predictive analytics, synthesize gathered data against profile of individuals to influence positive reactive be-havior. Through smart application, disseminate information to the individuals in the crowd to influence their positive attitudes. Key objective is to influence orderly dispersion of the crowd to avoid over-crowding and potential catas-trophe.
Volume 11 | 01-Special Issue
Pages: 1030-1039