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Actionable data insights for smart cities

By combining connected vehicle data with third-party sources and applying machine learning and analytics, data can be transformed into actionable smart city insights. These insights help municipalities understand local transportation patterns, traffic safety and road conditions, reduce greenhouse gas emissions, and justify investments in digital infrastructure.


Key benefits

Traffic optimization

Gain critical city-wide traffic insights that can be used to analyze existing traffic efficiencies and justify future investments in intelligent transportation. Leverage intelligence to manage congestion levels, reduce travel time and improve safety by predicting and reacting to changing road conditions.

Safety insights for safer roads

Leverage connected vehicle datasets to assess dangerous traffic conditions and proactively communicate appropriate warnings to citizens where necessary, including high-risk driving areas, hazardous driving conditions, and traffic calming measures.

Environmental benefits

By mapping hyperlocal air quality, emissions and idling hotspots, sustainability offices and departments can determine regions that have a higher proportion of air pollutants, and proactively implement solutions that mitigate or eliminate citizen risks.

White paper

Data-driven smart city insights: Intelligent datasets and urban analytics for digital cities

Urban analytics are the building blocks of smart cities. With near real-time visibility into operations, cities can optimize urban planning and fast-track their progress towards becoming a smart city.

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Photo of a city with blue trails indicating vehicle movement and data transfer