Artificial Intelligence Approach to Generate and Analyze Complete Streets Data at Scale

The project aims to enhance complete streets planning through innovative AI-driven tools and methodologies. The project focuses on developing a comprehensive decision-support system that leverages advanced data collection, integration, and artificial intelligence technologies to address critical gaps in Complete Streets planning. Phase I of the project involves the creation of a robust data collection framework and the development of AI and computer vision algorithms to generate and analyze diverse datasets. This framework will identify and address data deficiencies, particularly in areas such as traffic volume, pedestrian infrastructure, and demographic representation, thereby supporting more equitable and effective urban planning. The project will also produce a prototype decision-support tool that integrates these technologies into a user-friendly platform, enabling planners and policymakers to visualize and manipulate data for better-informed decision-making.