Articles

Digital twins, AI, IoT, and AR/VR will transform urban planning in the next decade, from climate resilience to smarter city design.

Digital twins help cities prepare for floods, wildfires, and climate change with smarter disaster planning and climate adaptation strategies

Digital twins can boost sustainability, cut emissions, and optimize energy, transport, and green spaces for smarter urban development.

Planners may use digital twins to boost collaboration, test ideas, and ensure inclusive city planning that reflects real community needs.

How cities use digital twins for planning. Discover challenges like data, cost, and security.

AI traffic analytics help cities predict crashes, deploy resources, build public trust, and secure funding for life-saving road projects.

Proven tips to implement traffic safety software, align goals, train teams, and use data to cut crashes and achieve Vision Zero.

Must-have features in traffic safety software to help cities prevent crashes and save lives.

AI traffic safety software helps cities reach Vision Zero by spotting risks, guiding fixes, and measuring life-saving results.

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