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Transit Analytics Lab (TAL) 2022 Research Day

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

Transit Analytics Lab logo and wordmark

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 technology providers and consultants.

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; build collaborations with public and private organizations; 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 workshops and has been involved in a number of research pursuits, many of which have practical applications.

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

The TAL Research Day will be held virtually and is free, though registration is required.

Registration

Please register on Eventbrite here.

Draft Program

Program PDF

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

  • Words of Welcome and Update on TAL Activities (Amer Shalaby)

09:20 Transit Analytics Related to Planning and Scheduling (Moderator: Brendon Hemily)

  • Planning Integrated On-Demand and Scheduled Bus Transit Services: Guiding Principles (Alaa Itani)
  • Coordinated and Bi-Objective Transit Signal Priority (TSP): Optimization Using a Deep Reinforcement Learning Approach (Wenxun Hu)
  • Incorporating Service Reliability in Multi-Depot Vehicle Scheduling: Stochastic Optimization Approach (Margarita Castro)
  • Transfer Synchronization in Transit Networks: Stochastic Programming Approach (Zahra Ansarilari)
  • Advanced Real-Time Transit Management Strategies in Mixed-Traffic Arterials (Kareem Othman)

10:30 Break

10:50 Operations Analytics to Improve Rail Performance (Moderator: Amer Shalaby)

  • Using Customer Facing WiFi Data for the Analysis of Subway Service Performance and User Experience (Aidan Grenville and Willem Klumpenhouwer)
  • Modelling Origin-Destination Demand in Toronto’s Subway Network using Wi-Fi and AFC Data (Diego Da Silva and Feras Elsaid)
  • Disruption Delays in Nanjing Urban Rail Transit Network: Analysis of Disruption Duration and Frequency (Jinyi Chen)
  • Analyzing Stochastic Railway Networks Using Event-Based Mesoscopic Simulation (Willem Klumpenhouwer)

12:00 Lunch Break

12:45 Keynote Presentation “TransLink Tomorrow; Promoting Innovation in Transit through Collaboration on Research,” Graham Cavanagh, Senior Planner, New Mobility Policy & Strategy, TransLink

1:30 Transit Analytics Applications from the Field (Moderator: Brendon Hemily)

  • Presentations highlighting applications or initiatives involving advanced analytics at transit systems.

2:30 Break

2:45 Transit Analytics to Support Policy and Equity (Moderator: Amer Shalaby)

  • Potential Policy Analyses Using the Equity Dashboard Platform (Willem Klumpenhouwer and Diego Da Silva)
  • An Equity Evaluation of Bus Prioritization Measures within the Toronto Transit Commission’s 5-year Service Plan & 10-year Outlook (Alex Tabascio)
  • Assessment of Toronto Transit Network Resilience and Effects on Social Equity (Rick Liu)
  • Investigating the Impact of COVID-19 on Post-Pandemic Transit Demand (Sk. Md. Mashrur)

3:55 Wrap-Up

4:00 End of Research Day

Please register on Eventbrite here.

Details

Date:
July 6
Time:
9:00 am - 4:00 pm EDT
Event Category:
Website:
https://uttri.utoronto.ca/events/transit-analytics-lab-tal-2022-research-day/

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