What does an urban mobility app built by Luby do?

It connects riders to buses, metro, bikes, and ridesharing in one place: plan the trip, compare time and cost, follow the route on the map, and pay without leaving the app. That's what we delivered in an urban mobility app for iOS and Android, with real-time geolocation and in-app payment.

How does real-time geolocation work?

Location events are processed as a stream, kept in geospatial storage, and served by fast query APIs that keep position and arrival times current. The platform we built processes 5 million geolocation points a day at low latency.

Is the routing intelligent?

Yes. An AI algorithm computes routes from live traffic, weather, city events, and each rider's preferences. On the urban mobility platform we put into production, average travel time per trip fell 25%.

Does payment happen inside the app?

Yes. Payment happens in the app, in the same flow as trip planning and tracking, with no cash and no switching apps. In the urban mobility app we built, payment sits on the same platform that connects buses, metro, bikes, and ridesharing.

How accurate are the arrival estimates?

On the urban mobility platform we built, 95% of arrival estimates are accurate. The estimates cover time and cost for every travel option, so riders choose with confidence.

Urban Mobility · Automotive Less time getting across the city, in the palm of your hand

Average travel time fell 25% on the urban mobility platform we built. Our apps connect riders to buses, metro, bikes, and ridesharing, with real-time geolocation, AI routing, and in-app payment.

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25%

less average travel time per trip on an urban mobility platform we built

The challenge

In mobility, every point of friction turns the rider away

Location, routes, arrival times, and payment decide whether the rider comes back to the app or switches to a competitor. The gaps we see most:

Location that can't keep up

A mobility app handles millions of location points a day. When processing lags, the map shows where the rider was, not where they are, and every estimate built on it goes wrong.

Routing that wastes time

A route computed on a static map ignores live traffic, weather, and city events. The trip runs long, and the rider stops trusting the app's suggestion.

Trips split across apps and payments

When bus, metro, bike, and ridesharing each sit in a different app with its own payment, the rider plans and pays for the trip in pieces, and each extra step is a chance to give up.

Arrival times riders can't trust

An estimate that misses once sends the rider to check another app. Time and cost estimates have to be right for every travel option, on every trip.

How we implement

From route search to payment, one trip in one app

We build mobility apps with what we learned shipping an urban mobility platform for iOS and Android that processes 5 million geolocation points a day.

Real-time geolocation at scale

Streamed location events, geospatial storage, and fast query APIs keep the map current while the rider is on the move. The engine we built processes 5 million geolocation points a day.

AI routing that reads live conditions

Routes computed from live traffic, weather, city events, and each rider's preferences. On the platform we built, average travel time per trip fell 25%.

Multimodal trips with in-app payment

Bus, metro, bike, and ridesharing in a single trip plan, with tracking and payment inside the app. The rider compares options and pays without switching apps.

Arrival estimates riders trust

Dependable time and cost estimates for every travel option, so the rider picks the best way to go. On the platform we built, 95% of arrival estimates are accurate.

Use cases