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  • Webinars
  • MAX Series Episode 4: Moving Freight with Intelligent Vehicle Systems

MAX Series Episode 4: Moving Freight with Intelligent Vehicle Systems

Tue 15 Sep 2020

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Advances in cooperative ITS and connected-and-automated vehicles (CAV) are often discussed in relation to personal vehicles. This session focuses on the application of these very same underlying technologies to the goods vehicles – and their drivers - that move freight on our nations’ highways. These critically-important heavy truck operations underpin our manufacturing and consumer economies, and aim for maximum safety and efficiency.

The central role of well-trained and managed long-distance drivers needs to be supplemented with targeted technologies. In addition to pertinent operational data in real-time, connected and automated technologies address sources of driver error and provide driving assistance. Under many circumstances machines are able to take over selected aspects of the driving task. The enabling of truck platooning is one example of technology extending the effectiveness of the human driver. The technology also influences driver training and management and provides vital safety oversight. Ultimately, networks of automated trucks will take trucking to new levels of safety and productivity.

Recording

Panellists

Dr Peter F. Sweatman Enterprise Professor in Transport Technologies / The University of Melbourne
Vicki Selva Executive Director / Michigan Defense Center (MDC)
Dr Mike Lenné Chief of Human Factors & Safety / Seeing Machines

MAX Signatories and Partners

The MAX: Michigan-Australia Exchange on Future Mobility is a partnership between the State of Michigan and the Australian Government that came into being with the signing of a Memorandum of Understanding (MOU) in October 2018 in Melbourne.

Australian Government Department of Infrastructure, Transport, Regional Development and Communications
Michigan Economic Development Corporation
Austroads
ITS Australia
The University of Melbourne
Michigan Department of Transport

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