Generate accurate arrival time predictions by processing realtime vehicle positions using advanced artificial intelligence strategies.
Get the most accurate real-time prediction to riders, despite the complex factors that impact trips. TheTransitClock can adapt to abnormal traffic congestion or emergent weather events by utilizing advanced adaptive algorithms.
Riders depend on accurate and timely access to real-time arrival time predictions. TheTransitClock’s standards-based GTFS-RT outputs can be incorporated into a transit data pipeline that syndicates information to websites, apps, and maps.
Open source achieves greater prediction accuracy in a head-to-head comparison with the closed source alternative in a Metro Transit bus network pilot study.
For more information: An Open-Source Framework to Implement Kalman Filter Bus Arrival Predictions
