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
Dr Sweatman has over 30 years of experience in transportation research and innovation, and the application of R&D. That experience encompasses vehicles, drivers, and infrastructure and impinges on technology, policy, and strategic planning. He is a trusted international voice on connected and automated vehicles, safety, ITS, transportation research and education, and freight technology and policy. He has worked extensively in Europe and Asia-Pacific as well as the United States.
Dr Sweatman is the recipient of the 2020 Max Lay Lifetime Achievement Award, read more here.
Vicki Selva
Executive Director / Michigan Defense Center (MDC)
In 2019, Vicki Selva was named Executive Director of the Michigan Defense Center after 6 years leading the development and implementation of many of the innovative programs and projects that have led to 40% growth in the state’s defense economy.
As Executive Director, Ms. Selva directs the state’s defense sector economic strategy and actions. MDC is a comprehensive program which advocates on behalf of the State of Michigan, partners with the Department of Defense, National Guard, Industry, Elected Leaders and Stakeholders and connects the commercial and military worlds to protect federal and state military assets, pursue new missions and assist Michigan companies in growing their portfolios.
As an architect of the State of Michigan’s “Protect and Grow Initiative; a Defense Economic Strategy”, Selva has changed the way Michigan supports the state’s defense missions, industries and communities. Selva manages a team of defense experts that drives this initiative along with dozens of economic development projects contributing to Michigan’s success in the national security sector.
Dr Mike Lenné
Chief of Human Factors & Safety / Seeing Machines
Mike is the General Manager of the Fleet business and leads Human Factors at Seeing Machines to deliver key advances in the company’s driver state technology.
A global authority on human factors and safety, Mike has 22 years’ experience developing and delivering solutions to improve safety across all modes of transport.
Following an esteemed career as a Professor in Human Factors at the Monash University Accident Research Centre (MUARC), Mike moved to Seeing Machines in 2014 as Chief Scientific Officer, Human Factors. He established the Human Factors division and built research partnerships with automotive, aviation and fleet customers gathering data necessary for development and ongoing innovation of the core Seeing Machines technology. Human Factors science forms a key competitive advantage for Seeing Machines with the company now renowned for a robust scientific approach that underpins its market-leading transport safety technology.
In 2019, Mike’s role expanded to SVP, Fleet and Human Factors where he is now responsible for leading both divisions and maintaining crucial relationships with customers, partners and regulatory bodies around the world. He represents Seeing Machines’ scientific and commercial interests externally and maintains strong scientific credibility and profile within the international human factors and safety communities.
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