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.
Gain critical city-wide traffic insights that can be used to analyze existing traffic efficiencies and justify future investments in intelligent transportation. Use data to manage congestion levels, reduce travel time and improve safety by predicting and reacting to changing road conditions.
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.
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.
Geotab’s smart city insights are meant to educate specific city and citizen stakeholders with data-driven and actionable information that can be used to justify changes, support strategic municipal investments in smart city technologies, and even predict future behaviors or activities.
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.
Urban analytics serve as the foundation of smart cities. With increased visibility into operations, cities can optimize planning and accelerate their progress towards becoming a smart city.
The World’s Smartest Intersection pilot project is an innovative initiative that Detroit is carrying out to look for ways to improve traffic efficiency and safety in the city.