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SUMMARY:Transit Analytics Lab (TAL) 2022 Research Day
DESCRIPTION: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. \nAmong 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. \nTAL 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. \nThe 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. \nThe TAL Research Day will be held virtually and is free\, though registration is required. \n\n\n\nRegistration\nPlease register on Eventbrite here. \nDraft Program (Download PDF)\n\n09:00 Introduction to the Transit Analytics Lab (TAL)\n\nWords of Welcome and Update on TAL Activities (Amer Shalaby)\n\n09:20 Transit Analytics Related to Planning and Scheduling (Moderator: Brendon Hemily)\n\nPlanning Integrated On-Demand and Scheduled Bus Transit Services: Guiding Principles (Alaa Itani)\nIncorporating Service Reliability in Multi-Depot Vehicle Scheduling: Stochastic Optimization Approach (Margarita Castro)\nTransfer Synchronization in Transit Networks: Stochastic Programming Approach (Zahra Ansarilari)\nAdvanced Real-Time Transit Management Strategies in Mixed-Traffic Arterials (Kareem Othman)\nCoordinated and Bi-Objective Transit Signal Priority (TSP): Optimization Using a Deep Reinforcement Learning Approach (Wenxun Hu)\n\n10:30 Break\n10:50 Operations Analytics to Improve Rail Performance (Moderator: Amer Shalaby)\n\nUsing Customer Facing WiFi Data for the Analysis of Subway Service Performance and User Experience (Aidan Grenville and Willem Klumpenhouwer)\nModelling Origin-Destination Demand in Toronto’s Subway Network using Wi-Fi and AFC Data (Diego Da Silva and Feras Elsaid)\nDisruption Delays in Nanjing Urban Rail Transit Network: Analysis of Disruption Duration and Frequency (Jinyi Chen)\nAnalyzing Stochastic Railway Networks Using Event-Based Mesoscopic Simulation (Willem Klumpenhouwer)\n\n12:00 Lunch Break\n12:45 Keynote Presentation “TransLink Tomorrow; Promoting Innovation in Transit through Collaboration on Research\,” Graham Cavanagh\, Senior Planner\, New Mobility Policy & Strategy\, TransLink\n1:30 Transit Analytics Applications from the Field (Moderator: Brendon Hemily)\nPresentations highlighting applications or initiatives involving advanced analytics at transit systems. \n\nUsing Data and Analytics at Metro Transit (Eric Lind\, Manager\, Research & Analytics\, Metro Transit)\nApplied Planning Intelligence at WMATA (Catherine Vanderwaart\, Strategic Planning Advisor\, Office of Planning\,\n\n  \nWashington Metropolitan Area Transit Authority (WMATA)\n\n\n\n2:30 Break\n2:45 Transit Analytics to Support Policy and Equity (Moderator: Amer Shalaby)\n\nPotential Policy Analyses Using the Equity Dashboard Platform (Willem Klumpenhouwer and Diego Da Silva)\nAn Equity Evaluation of Bus Prioritization Measures within the Toronto Transit Commission’s 5-year Service Plan & 10-year Outlook (Alex Tabascio)\nAssessment of Toronto Transit Network Resilience and Effects on Social Equity (Rick Liu)\nInvestigating the Impact of COVID-19 on Post-Pandemic Transit Demand (Sk. Md. Mashrur)\n\n3:55 Wrap-Up\n4:00 End of Research Day\nPlease register on Eventbrite here 
URL:https://www.mobilitynetwork.utoronto.ca/event/transit-analytics-lab-tal-2022-research-day/
LOCATION:Online
CATEGORIES:Symposium
ORGANIZER;CN="Mobility%20Network":MAILTO:mobilitynetwork@utoronto.ca
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