The perfect complement to traditional transit
DeepGo uses advanced algorithms to dynamically route vehicles based on real-time demand, seamlessly integrating a refined digital platform with an upgraded fleet to deliver a premium ride experience.
Flexible Point-to-Point Routing
Passengers can travel between any two points within the service area. Our platform automatically generates the most efficient route in real time, getting riders to their destination quickly and reliably.
Peak Hours Operations
During high-demand periods, DeepGo runs a stop-based model with dynamically optimized routes. Riders get real-time vehicle tracking, estimated wait times, and precise ETAs at every stop.
Off-Peak Hours Operations
When demand is lower, DeepGo shifts to a fully point-to-point model. Riders simply enter their pickup and drop-off locations for an instant, direct ride — bypassing standard stops entirely for a faster, uninterrupted journey.
Smart Dispatch & Dynamic Decision-Making
DeepGo's dynamic transit runs on an "AI + public transit" model, operating within defined service areas. Rather than following fixed routes, the system uses big data and AI algorithms to aggregate scattered rider demand and calculate the optimal route in real time — building a data-driven, AI-powered operating system that shifts the model from "riders waiting for buses" to "buses adapting to riders." This improves safety, operational efficiency, and the overall rider experience.
Digital Innovation · Better Transit