A privacy-aware crowd management system for smart cities and smart buildings

摘要: Cities are growing at a dizzying pace and they require improved methods to manage crowded areas. Crowd management stands for the decisions actions taken supervise control densely populated spaces it involves multiple challenges, from recognition assessment application of tailored current situation. To that end, Wi-Fi-based monitoring systems have emerged as cost-effective solution former one. The key challenge impose is requirement handle large datasets provide results in near real-time basis. However, traditional big data event processing approaches important shortcomings while dealing with crowd information. In this paper, we describe novel system architecture smart cities buildings can be easily replicated. described proposes privacy-aware platform enables artificial intelligence mechanisms assess crowds' behavior employing sensed Wi-Fi traces. Furthermore, present paper shows implementation two buildings, an airport market, well applying set classification algorithms