Transportation

Machine learning and intelligence are being applied at GEOI in multiple ways to address predictive analytical challenges in multiple fields, including the transportation industry. GEOI technologists and data scientists have been engaged in multiple efforts to predict and forecast the flows of traffic and critical infrastructure decay. The work leverages machine learning to build services that make use of both real-time live streams of sensed information and large amounts of heterogeneous historical data. This allows us to get a sense of the natural transportation rhythm, as well as identify predictive behavior that may lead to road and infrastructure integrity issues or determine events that can trigger unexpected traffic surges. As a result, we are being proactive by identify patterns and trends rather than be reactive. Contact us to learn more.