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, John Zimmerman, Charles Garrod, Yun Huang, Terence Nip, and Aaron Steinfeld. 2015. The performance of a crowdsourced transportation information system. Transportation Research Board 94th Annual Meeting. Transportation Research Board.

Anthony Tomasic, Aaron Steinfeld, John Zimmerman, Yun Huang. 2014. Motivating contribution in a participatory sensing system via quid-pro-quo. In Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW '14).

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



Post Docs & Staff

Zubair M. Malik
Alex Haig
Joseph Andrew Giampapa


Sarah Amick
Omer Elhiraika
Steve Gardiner
Niloy Gupta
Sophia Deng
Vivek Shankar
Taiyuan Zhang
Sunny Zheng

Former Members

Afsaneh Doryab
Joshua Tan
Abhinav Kuruvadi Ramesh Babu
Terence Nip
Leslie Bloomfield
Daniel Ringwalt
Chenhao Yang
Agnes Won
Allison Tran
Andrew Smith
Chaya Hiruncharoenvate
Chen Hong
Daisy Jiseon Yoo
Ellen Ayoob
Hanzhang Hu
Jian Li
Jing Gao
Jonathan Park
Jun Ki Min
Kevin Araujo
Lauren Von Dehsen
Madeline Chan
Maxime Bury
Michael Richter
Nikhil Thiruvengadam
Piyush Kumar
Rafae Aziz
Shree Lakshmi Rao
Stephanie Mahalchick
Sun Young Park
Taylor Raack
Tim Andrianoff
William Goodale
William Odom
Xinpan Xiao
Yongzuan Wu
Yue Xing
Yufei An


This research and development are activities of the Rehabilitation Engineering Research Center on Accessible Public Transportation (RERC-APT). Parts of this software were developed under a grant from the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR grant number 90RE5011-01-00). NIDILRR is a Center within the Administration for Community Living (ACL), Department of Health and Human Services (HHS). The contents of this website and software do not necessarily represent the policy of NIDILRR, ACL, HHS, and you should not assume endorsement by the Federal Government.

Earlier work by the RERC-APT was 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.