Room: Mississauga
Sponsor(s)
 
Session Description
We will explore this topic with two presentations:
Automated Stop Deficiency Detection System-
In May 2023, York Regional Transit launched the York Region Automated Transit Facility Inspection Program. The program uses AI app CITYROVER and smart camera technology to inspect bus stops for issues like damaged shelters, missing amenities and overflowing garbage bins.
YRT’s fleet of over 500 buses inspects about 40 per cent of more than 6,000 bus stops monthly with just eight cameras. This program significantly reduces the annual inspection costs compared to traditional methods. The data collected helps customer service staff respond more effectively to issues, enhancing efficiency and service quality.
ELSSA (Experience Learning-based System for Supervisor Assistance): Transforming Incidents Records into Explainable Decisions with LLM-
In this presentation, we introduce a Large Language Model (LLM)-based knowledge system that transforms historical incident reports into institutional knowledge for public transit incident management. By converting unstructured data into a structured knowledge graph, the digital assistant captures the practical experience of seasoned personnel and integrates it with official guidelines to provide decision support. A retrieval-augmented generation approach merges these data sources to deliver context-specific recommendations for route supervisors. This framework highlights the potential of advanced language models to provide consistent, transparent, and explainable incident management.
Speaker(s) / Presenter(s)
Igor Zaslavsky, Manager, Digital Transit, has worked for over 19 years in various roles in the Digital Transit group as part of Public Works department in York Region.
As a Manager of Digital Transit group, he is responsible for research, design and implementation of Intelligent Transportation Systems (ITS), management of system maintenance contracts as well as operations, maintenance and support for the existing Transit ITS programs.
Igor has led the successful implementation of various Intelligent Transportation Systems projects for York Region Transit.
Some of those major projects include Computer Aided Dispatch and Automatic Vehicle Location (CAD/AVL) systems, Mobility On Request platform, scheduling and trip planning applications, interactive voice response (IVR) systems, security camera systems, distributed antenna systems, collision avoidance and pedestrian warning system, passenger information displays, etc.
He has over 24 years of experience with Information Technology and Intelligent Transportation Systems industry, previously working at the Regional Municipality of York, Nortel Networks and CIBC bank
Jiahao Wang – University of Toronto
Jiahao Wang is a PhD student at the University of Toronto Department of Civil & Mineral Engineering. He received an MSc in computer science from University of Ottawa, and a BEng in computer science from Sichuan University. His current research focuses on transit management optimization using deep learning and reinforcement learning methods. He enjoys skiing and playing guitar.
As a member of Transit app’s Northeast Partnership team, Brigitte works on building relationships with agencies, DOTs, and college campuses in the Northeast, including in the Greater Toronto Area, where she was born and raised! Brigitte brings to Transit a background in nonprofits and civil society research, and holds a Bachelor’s degree from Stanford University in History and English.
Moderator(s)
Christian Dodier – GIRO