Tiramisu was developed by researchers to improve users' transit experiences and transit accessibility. Your data will help us improve Tiramisu and show the positive impact of technology on public transit.

It's real-time

Find out fullness

Report problems

real time find out fullness report issues
Where is my bus?
Tiramisu provides easy access to schedule and real-time arrival information.
   Do you need a seat?
Tiramisu improves bus accessibility by providing fullness information.
   What happened to my bus?
Report issues and share stories with Tiramisu riders.

This time-lapse video shows a typical evening commute November 16, 2011 between 4-6pm.


The Tiramisu system supports the research team at the Rehabilitation Engineering Research Center on Accessible Public Transportation (RERC-APT), who explore the value and impact of rider information and universal design on transit use. The team also conducts research on large-scale computer systems, energy efficiency, machine learning, and co-design.

See our Informed Consent and Privacy page.


Anthony Tomasic, Aaron Steinfeld, John Zimmerman, Yun Huang, The Influence of Quid-Pro-Quo on Time-sensitive Crowdsourcing, The 17th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2014).

Aaron Steinfeld, Shree Lakshmi Rao, Allison Tran, John Zimmerman, and Anthony Tomasic. 2012. Co-producing value through public transit information services. In Proceedings of the International Conference on Human Side of Service Engineering.

John Zimmerman, Anthony Tomasic, Charles Garrod, Daisy Yoo, Chaya Hiruncharoenvate, Rafae Aziz, Nikhil Ravi Thiruvengadam, Yun Huang, and Aaron Steinfeld. 2011. Field trial of Tiramisu: crowd-sourcing bus arrival times to spur co-design. In Proceedings of the 2011 annual conference on Human factors in computing systems (CHI '11). ACM, New York, NY, USA, 1677-1686. DOI=10.1145/1978942.1979187

Daisy Yoo, John Zimmerman, Aaron Steinfeld, and Anthony Tomasic. 2010. Understanding the space for co-design in riders' interactions with a transit service. In Proceedings of the 28th international conference on Human factors in computing systems (CHI '10). ACM, New York, NY, USA, 1797-1806. DOI=10.1145/1753326.1753596




Daniel Ringwalt
Steve Gardiner
Madeline Chan
Chen Hong
Terence Nip
Yonzuan Wu

Former Members

Chaya Hiruncharoenvate
Andrew Smith
Jian Li
Yue Xing
William Goodale
Allison Tran
Yufei An
Agnes Won
Maxime Bury
Michael Richter
Shree Lakshmi Rao
Xinpan Xiao
Taylor Raack
Piyush Kumar
Daisy Jiseon Yoo
Nikhil Thiruvengadam
Stephanie Mahalchick
Jonathan Park
Hanzhang Hu
Tim Andrianoff
Rafae Aziz
Sun Young Park
Lauren Von Dehsen
Ellen Ayoob


This research and development are activities of the Rehabilitation Engineering Research Center on Accessible Public Transportation (RERC-APT). The RERC-APT is funded by grant numbers H133E080019 and H133E130004 from the United States Department of Education through the National Institute on Disability and Rehabilitation Research.

Additional support was provided by Traffic21 at Carnegie Mellon University, a program developed with the support of the Hillman Foundation; a University Transportation Center grant (DTRT12-G-UTC11) from the US Department of Transportation; and a US Department of Transportation SBIR Phase I grant (DTRT57-12-C-10039).

No endorsement should be assumed by funding sponsors or the United States Government for the content contained on this website.