Apps Like Split Buses for iPhone and iPad
Ranked alternatives
Showing 281–300 of 1,000 ranked alternatives.



TOR Next Bus
Junebot, LLC
Real-time transit arrivals for Toronto.
The app provides real-time arrival predictions for Toronto's TTC transit. Users can view stops on a map, save selected stops, and receive service alerts for delays and detours.

R2U Connect
Rides2U LLC
Book bus trips and track your journey
Book bus trips with real-time schedules and seat selection. View driver and vehicle details. Receive notifications for delays or changes. Track your bus location. Access customer support for assistance during travel.


CATA myStop
Avail Technologies, Inc.
Plan trips with real-time bus info
Plan trips using Google search for route details. Access real-time service alerts and notifications. Locate nearest stops with navigation tools. Track buses graphically on a map. Check real-time bus capacity and schedules.










LA Next Bus
Junebot, LLC
Real-time arrivals for Los Angeles
The app provides real-time arrival predictions for Los Angeles Metro buses and rail lines. Users can find nearby stops, view next arrivals, and save selected stops.

SG Bus Timing App
Daniel Chong
Track bus location and arrival times
Check bus arrival times for SBS, SMRT, Tower Transit, and Go-Ahead Singapore routes. View real-time bus locations on a map. See up to three arrival timings. Assess bus crowding levels. Search for routes and stops.

PonyPlus by MCTA
Via Transportation, Inc.
Book rides
Book rides to specific destinations within Monroe County, PA. Pay directly in the or give exact cash fare to the driver. View ride details and confirm bookings. Track vehicle location and receive arrival estimates. Share ride details with others.


New York MTA Bus Time
Naiara Albaina
Track bus arrivals and save favorite stops
Track bus schedules and arrival times for New City MTA routes. Save favorite stops and view next bus arrivals with one touch. Receive real- updates and check route maps.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.