Urban Way is an advanced public transport data platform designed to transform raw transit data into accurate, actionable intelligence for passengers and city planners.

Using only real-time GPS data and timetables, Urban Way employs advanced machine learning algorithms to continuously adapt to traffic conditions, weather, and time-of-day. It provides extreme prediction accuracy (>90%) and uniquely predicts arrival times for non-GPS tracked vehicles and non-standard schedules (e.g., frequency-based charts). 

Key Features:

• Open Integration: Provides GTFS-RT feeds, Google Transit integration, and open REST/gRPC APIs.
• Planning Analytics: Multi-layer heatmaps, string diagrams to detect bus bunching, and live continuous KPIs (OTP, EWT, Headway Adherence).
• Passenger Experience: Powers real-time map tracking, route planning, service alerts, and passenger feedback loops.