Transport Canada / Transports Canada

Transport Canada has been collaborating with Statistics Canada to develop a machine learning algorithm to forecast container volume arrivals at the Port of Vancouver.

In 2024, Transport Canada worked with the Port of Vancouver on a machine learning pilot project to forecast cargo vessel arrivals.

This project seeks to evaluate and mitigate the risk level of cargo inbound to Canada before it is loaded onto an aircraft, adding a layer of security to Canada's Aviation network.

The Risk Evaluation and Conflict Tool (REACT) project is a data-driven initiative led by the Conflict Zone Information Office (CZIO) to enhance Canada's capability to monitor and assess global conflict-related threats...

In 2024, Transport Canada carried out a structured experiment to test the practical advantages and drawbacks of using AI tools, specifically the Athena platform and ChatGPT, and evaluate the quality and time efficienc...

Development of algorithms to assess large data sets of Transportation of Dangerous Goods incidents and identify leading indicators.

Development of algorithms to detect obstructions within Canadian waterways

Transport Canada used ChatGPT to develop code in "R" programming language to automate data processing and model logic steps used in our freight transportation demand forecasting model.

The travel policy chatbot is used by TC's corporate finance to answer travel related questions with regards to both TC and NJC travel directive.

The Regulatory Platform is a web application designed to generate, streamline and structure information on Canadian federal laws and regulations.

Data platform designed to provide real-time and historical information on rail traffic across North America.

Internal translation solution for both free-text and document translation, meant for low risks translations.

The ADA project aims to streamline and automate the processing of paper-based forms received by teams at Transport Canada.