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Transit Analytics Lab (TAL) Research Day

July 6 @ 9:00 am - 4:00 pm

Transit Analytics Lab logo

The Transit Analytics Lab (TAL) of the University of Toronto brings together transportation and technology researchers from across the University of Toronto, transit systems in the Golden Horseshoe area, and private sector software providers.

Among its objectives are to: foster innovation in transit data-driven tools (analytics) using advanced methods of data science, machine learning, artificial intelligence, simulation and statistics; expose the professional community through knowledge transfer activities to advanced analytics; and establish U of T as a national and international leader in transit data analytics.

TAL was launched in 2020 with the International Symposium on Automated Transit Data. Since then, TAL has organized a Workshop in December and has been involved in a number of research pursuits, many of which have practical applications.

The time is appropriate to organize a TAL Research Day that will provide a high-level overview of the many research activities being pursued by the TAL team; please see the Draft Program below.

Hosted by the Transit Analytics Lab (TAL), University of Toronto Transportation Research Institute (UTTRI), the TAL Research Day will be held virtually and is free, though registration is required.

Register on Eventbrite.


Draft Program – 20210608 – Subject to change

09:00 Introduction to the Transit Analytics Lab (TAL)

  • Words of Welcome and Introduction to UTTRI’s TAL (Amer Shalaby)

09:20 Transit Analytics Related to Planning, Scheduling, and Customer Behaviour

  • Factors Influencing Surface Transit Bunching (Ehab Diab)
  • Use of Smart Card Data to Model Transit Demand (Khandker Nurul Habib)
  • Incorporating Service Reliability in Multi-Depot Vehicle Scheduling (Margarita Castro)
  • Use of Social Media to Understand Customer Experience (Rami Al-Sahar)
  • Transit Information Seeking Behaviour Using Trip Planning Data (Lisa Li)

10:35 Break

10:50 Operations Analytics to Improve Reliability

  • On-Time Performance and Reliability (Diego Da Silva)
  • Rail Delay Analysis (Willem Klumpenhouwer)
  • Bus Bridging Effectiveness (Alaa Itani)
  • TSP Research and Findings (Wenxun Hu)

12:00 Lunch Break

12:45 Keynote Presentation: Transit Data and Beyond: Emerging Landscapes

  • Brendon Hemily, Senior Advisor, TAL

1:30 Transit Analytics to Support Equity and Policy

  • Lessons Learned from Transit Centre Dashboard Research (Willem Klumpenhouwer)
  • Social Equity and Bus On-Time Performance (Matthew Palm)
  • Role of Ridesharing in Providing Access to Employment (Steven Farber)

2:30 Break

2:45 Transit Data and Analytics Challenges Facing Transit Systems Today

  • Moderated discussion

3:45 Wrap-Up

4:00 End of Research Day


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