As part of the long-term goal of big data analytics, smart cities are using automated people counting and integrated analytics. IoT combines common people counts with multiple integrated parameters of passenger counts (demographics, dwell times, heatmaps, mobility patterns, behavioural activity, etc.), vehicle counts, and environmental, social, and governance monitoring. This kind of data management - acquiring, validating, storing, protecting, processing information and making it available as needed, which helps provide insights into people's behaviour and makes towns and cities better places to live.