The future of sustainable, efficient, and safe cities depends on its human-centricity - and how streets, transportation hubs, and spaces are designed to meet people’s ever-changing movement patterns. However, most traffic management systems (TMS) and intelligent transport systems (ITS) don’t yet analyse contextual human behaviour as part of their video analytics offering.

Without human context, people are deprioritised in city planning and development decisions, which lead to costly inefficiencies in traffic flow, increased risky incidents, and a poor user experience.

Understand the context behind how people move through cities and spaces to improve efficiency and effectiveness of city plans and designs. Our Urban Behaviour Analysis captures the movement of people, vehicles, motorcyclists and other road users, and translates their behaviour patterns into useable data for urban planners to better inform decisions on city and space design.

See the “why” behind the “what”. Understand eagle-eye stats around density, dwelling, trajectory, near misses, and traffic flow categorisation, broken down into segmented data for pedestrians, motorcyclists, vehicles, buses, or a new road user – important for extracting behaviours and patterns specific to each classification.

Once integrated, this powerful data is fed directly through existing TMS and ITS platforms, so that there’s no need for painful, costly, and complex installations of new systems or long procurement cycles.