It is estimated that over 89% of the US will live in urban areas by the year 2050, a trend that is on par with many developing countries. This brings massive economic opportunity and cultural impact, but this rapid urbanization also comes with challenges. The rise of emerging technologies like machine learning and artificial intelligence can help communities find solutions for issues such as resource utilization, sustainability, and safety in public utilities, transportation, infrastructure, and the environment. These new technologies can help create foundational data that can be leveraged to enhance public policy and action-oriented decisions. Pedestrian walkability and safety studies that are leveraging the power of AI for Right-of-Way data are an example of an innovative approach that is being used by a rising number of municipalities, cities, regional transportation organizations, and federal agencies.
Need for Digital Twins & Ecopia’s Nationwide Right-of-Way Map Data
Today, it is possible to create a digital representation of our physical world at scale and use these ‘digital twins’ of cities and large areas to make data-backed decisions with far-reaching implications. Over the last 8 years, Ecopia has used its proven proprietary AI-based systems to extract land cover features and building footprints from high-resolution geospatial imagery. Ecopia creates HD Maps that are accurate, comprehensive and up-to-date. These HD maps are embedded into hundreds of customer applications spanning 100+ countries around the world. This includes organizations such as the World Bank, National Oceanic and Atmospheric Administration (NOAA), Bill & Melinda Gates Foundation amongst others. Given the increasing demand for such accurate, reliable, and up-to-date foundational information, Ecopia has further trained and developed the capabilities of our AI-based systems to generate advanced Right-of-Way transportation maps.
Ecopia’s AI-based systems can extract advanced Right-of-Way (RoW) features from high-resolution stereo aerial imagery that leads to insights and better decision-making across applications such as:
- Improving pedestrian connections and safety
- Traffic safety planning
- Public works management
- Compliance with accessibility requirements
- Vision Zero Program support