Articles

Cities are planning transit-oriented development using mobility data, ridership insights, and performance metrics for smarter growth.

Traffic data can support mobility-as-a-service by integrating transit, micromobility, and traffic data for smarter urban travel.

Real-time data, dynamic pricing, and smart curbside analytics helps cities manage parking, loading zones, and curb access

Traffic data is helping cities adapt transit and traffic planning to post-pandemic travel patterns, hybrid work shifts, and real-time demand

By using Geospatial AI and data, cities and counties can forecast road damage, save costs, and prevent disruptions.

Cities can use traffic, demographic, and mobility data to design and manage equitable, effective congestion pricing programs

AI-powered smart intersections improve traffic flow, reduce delays, enhance safety, and help cities move smarter

Exploring how cities use data to design safer, more accessible micro-mobility lanes

Cities can use AI and data to forecast road damage, save costs, and prevent disruptions

Using data to power smarter congestion pricing in U.S. cities.

Discover the 10 most important road attributes cities must monitor in 2025—from lane width to crash risk.

Urban SDK helps organizations diagnose roadways faster and more accurately by using AI, satellite imagery, and connected vehicle data.

GIS-driven maps that help cities improve safety, maintenance, and planning—without field-heavy surveys or outdated spreadsheets.

Accurate road characteristics—like lane counts, speed limits, and sidewalks—help cities improve traffic safety and emergency planning

How roadway segmentation data helps cities manage assets better—using AI and GIS to prioritize repairs and streamline budgets