Presentations are given in the language indicated.
Many public agencies and academic institutions now have access to large-scale roadway and mobility datasets, including network-wide speed information and a wide range of roadway attributes. When effectively used, these massive datasets can significantly enhance transportation planning, analysis, and modelling. However, despite growing data availability, limited internal resources or technical expertise often prevent organizations from fully leveraging their potential.
To help bridge this gap, a webinar series will showcase how different organizations are using massive datasets to support planning, modelling, and decision-making. Presenters will share their experience, tools, methodologies, and key lessons learned.
Organized by the TAC Transportation Modelling User Group.
Read about the presentations and presenters below.
Presentations:
falocoRo, a tool for calculating probabilistic car travel times based on HERE data
Presenters: Jérémy Gelb, ARTM and Hamzeh Alizadeh, ARTM
Traditional open‑source routing engines like R5 and OpenTripPlanner deliver strong performance but assume free‑flow traffic, which underestimates car travel times and biases comparisons with transit. Using HERE’s detailed, real-time road network and historical speed data, ARTM developed falocoRo, an R package that converts HERE data into a routing graph with one‑way constraints, movement restrictions, and turn penalties, while estimating travel times probabilistically. falocoRo scales to millions of routes in minutes and is notably used by the ARTM to calculate its urban opportunities accessibility indicator.
HERE Data: Travel Time Analysis for Transportation Modelling
Presenter: Mischael Raj, City of Ottawa
This presentation gives an overview of how the City of Ottawa developed a solution to convert probe speed data into measurements of vehicle travel time across the National Capital Region. This new method aimed to replace previous manual travel time measurements and inform updates to the regional transportation forecasting model. The presentation will discuss the business need, source data, analytical environment, methodology, results, and areas for improvement.
The Transportation Association of Canada (TAC) makes no representations or warranties about the accuracy or suitability of any information presented in the webinars and related materials (such as handouts, presentation documents and recordings); all such content is provided to TAC’s members and webinar registrants on an ‘as is’ basis. TAC is not liable for any information provided by instructors and presenters of these webinars. TAC hereby disclaims all liability for any claims, losses, or damages in connection with use or application of these materials. TAC does not guarantee, warrant, or endorse the products or services of any firm, organization, or person. The information contained in these webinars and related materials is not intended to constitute legal advice or the rendering of legal, consulting, or other professional services of any kind. Users of these materials should not in any manner rely upon or construe the information or resource materials in these materials as legal, or other professional advice and should not act or fail to act based upon the information in these materials without seeking the services of a competent legal or other professional.