Downtown.AI
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About
Downtown.AI leverages machine learning and big location data to analyze and accurately predict human movements in cities, disrupting how Mobility Services and Transportation Authorities forecast customer demand and optimize traffic. Its cloud platform uses proprietary machine learning algorithms, large scale mobile location data, and other sources to analyze, map, and forecast the movement of entire cities' populations, including pedestrian traffic, cars, public transportation, and micro mobility commutes. The human movement SaaS platform enables users to explore data and generate ready-to-use analyses, forecasts, and dynamic human movement maps, providing insights on past, current, and future traffic in a given geography. It also helps monitor and map traffic GHG emissions with its EmissionZero solution.
Platform
Features
• traffic ghg emissions monitoring and mapping
• analysis of specific transportation modes, o-d, zip codes, commuter behaviors
• insights on past, current, and future traffic
• dynamic human movement maps
• saas platform for data exploration and analysis generation
• forecasting pedestrian, car, public transportation, and micro mobility traffic
• analysis of large scale mobile location data
• machine learning algorithms for human movement prediction
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