You’ve reached the end of the line.
Mmm, our bread and butter. We obsess over making sure riders get the most accurate predictions and trip info imaginable.
How we’re using machine learning at Transit to improve real-time predictions for Montreal’s STM buses 🙂🚍👉🤩🚍
Riders in 35 cities (with more on the way) are using Transit’s new in-app crowding feature: it lets them self-report crowding levels on their bus and train.
Transit riders want to know how crowded their vehicles are. One problem: that data didn’t exist in most cities. Now it has arrived.
Now in select Transit app cities — with more on the way 🏃♀️💨
Our next big step as we strive to deliver the best transit data available, anywhere, period.
MDOT MTA + Swiftly + Transit = Charm City Dream Team 🏀
Say hello to wheelchair accessibility info for 90+ agency feeds (including the MTA in New York City) ♿💙Ⓜ️️
And now transit agencies are using it to fix their broken real-time tracking feeds.
Transit and the STM join forces to bring real-time — and more — to the city 📱🤝🚍
You want it. We have it. Starting today, our real-time predictions in Los Angeles get a little better thanks to our partnership with Swiftly.