Abstract Manager

Freight transportation in Canada accounts for a substantial 9% of the country's emissions, emphasizing the urgent need for decarbonization in this sector. Transitioning to alternative technologies, such as zero and low-emission trucks, is a critical aspect of the solution. However, the challenge lies in the complex nature of this transition, particularly for fleet operators operating on narrow profit margins. Fueling and charging these vehicles, especially in remote communities, require comprehensive support.

This presentation addresses the importance of understanding the movement patterns of trucks across Canada to strategically deploy public charging stations tailored to operational needs. Unlike light-duty vehicles, charging and fueling hubs for heavy-duty transportation become intricate due to factors like higher peak demand, space constraints, and downtime limitations.

The second part of the presentation delves into the growing pressure on Medium and Heavy-Duty (MHD) fleet operators to explore alternative or low-emission options for their fleets.

The focus shifts to how telematics data can be utilized to predict future energy demands with alternative technologies, estimating the charging and refueling needs of zero-emission vehicles. This predictive modeling methodology aims to support fleet operators in understanding the costs, identifying transition opportunities, and efficiently planning for the charging infrastructure required for the electrification of their MHD fleets.

By leveraging data collected through telematics and aggregated, particularly from Geotab ITS, Canada’s leading telematics company, and partnering with CIMA+, a leading engineering firm with expertise in transportation electrification projects and charging needs assessments, we explore how to plan the deployment of public charging stations and shared infrastructure to meet the evolving needs of MHD fleets.