Vehicle automation and intelligent transportation systems will be the cornerstones of sustainable smart cities of the future. People movers seem to be at the heart of technology development, field trials and on-road testing, and strategic business partnerships when it comes to connectivity and automated driving. Majority of the focus has been on unmanned operation and door-to-door service in urban environments and not on highways. Highways are relatively simpler to handle from an engineering stand-point, but vehicles typically operate at higher speeds, so the cost of accidents is worse. This is very applicable for Class 8 trucks that are hauling loads (i.e., heavy), big, and fast. At the same time, most of the truck maneuvering, especially on highway is pretty straightforward (i.e., maintaining a highway lane, usually the slowest one, with limited lane change maneuvers). It is also easy to contemplate how automating buses (where the routes are fixed) or construction equipment (in confided areas) make sense from a safety and economics point-of-view. This leads to the “Heavy metal first” hypothesis, where we explore why automation in the heavy-duty sector and industrial machines may happen sooner.Some truck OEMs and technology companies have been exploring truck automation. While some have explored concepts such as truck platooning (automated driving with a human in the cab), others have been testing fully autonomous trucks in customer operations. This course is intended to cover the basics of connected automation and provide a ringside view of everything happening in the area of truck automation with special focus on platooning including, but not limited to technology development, field trials, opportunities, and challenges facing the wide scale deployment of such systems.
By attending this seminar, you will be able to:
The course is designed for Traffic Engineers, Transportation Engineering Professionals, Supply Chain and Logistics Professionals, Urban and Regional Planners, Truckers, Carriers and Fleet Operators, Regional Transportation Planning Agencies, Highway Operators, Infrastructure Owner/Operators, Port Authorities, Research Engineers, Research Manages, Innovation Managers, R&D Engineers, Product Managers.
Preferred, but not required - Electrical and/or Mechanical Engineering. Preferred professional experience in one more or the following areas - technology, automotive, trucking, transportation, policy and region planning, logistics and supply chain, port operations, traffic engineering.
Aravind Kailas manages innovation and R&D initiatives to create and commercialize sustainable transport solutions for the Volvo Group. By promoting the company’s creative assets and key technology positions in various fora, Aravind has been instrumental in establishing the Volvo Group as a trusted thought leader in California. He has led Volvo’s engagement with the public sector and other outreach efforts in the connected and autonomous vehicles spaces, and championed truck platooning activities in the US to prepare for a commercial product launch. Aravind also spearheaded local partner development for the first Volvo electric truck roll-out in the US and has launched innovative projects with startups and customers to showcase critically needed technologies and new business opportunities for the Volvo Group.
Aravind is also a part-time Instructor at California State University Long Beach and has previously held positions at the University of North Carolina at Charlotte, QUALCOMM, Inc., DOCOMO Innovations, Inc., and General Electric. Author of over 100 publications and quoted in more than 100 media outlets, Aravind has delivered more than 50 invited talks globally, and has served on numerous international jury panels on research and technology, advisory boards of non-governmental organizations and academic institutions. His scholarly work has been recognized by numerous accolades, including the Patricia F. Waller and Deborah Freund Awards from the Transportation Research Board. Aravind has earned degrees in Applied Mathematics and Electrical and Computer Engineering from the University of Wisconsin-Madison and Georgia Institute of Technology.
SAE Members: $668.00 - $752.00
You must complete all course contact hours and successfully pass the learning assessment to obtain CEUs.
For additional information, contact SAE Customer Service 1-877-606-7323 (724-776-4970 outside the U.S. and Canada) or at CustomerService@sae.org.