RIDERSHIP VISIBILITY NOW & TOMORROW
How transit agencies go about planning routes and proactively manage operations is changing rapidly. Transit agencies are facing declining revenues despite increased demand for the services. Learn how Cognitro and SICK leveraged computer vision and machine learning to create an end-to-end solution for counting passengers, predicting demand and optimizing operation. The solution seeks to 1) capture insight on bus occupancies in real-time 2) forecast short-term and long term ridership demand and ultimately 3) optimize fleet size, schedule and route to accommodate fluctuating demands. The solution has been shown to cut operational cost, protect investment, and above all improve ridership safety, comfort, and satisfaction, allowing transit agencies to take a giant leap forward.