With emerging automated driving technology, self-driving cars may soon have the capability to form a platoon on a highway, which could improve travel time, increase lane capacity, and reduce congestion. A car platooning proof-of-concept was tested and evaluated at a U.S. Army facility in Maryland. Learn how platoons work and find out what the researchers discovered.
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Human creativity is valuable, but computers are better at some tasks than people are. How can we meld the strengths of humans and technology to create the best transportation future? By making data-driven decisions, says MIT’s Andrew McAfee, who kicked off Volpe’s new speaker series.
This document provides an overview of the SAVE-IT program.
This is a PowerPoint presentation that introduces the SAVE-IT program.
Related research on adaptive interfaces for the SAVE-IT program.
This article provides an overview of how eye behaviour research enhances safety. It was published in Technology Magazine on Nov. 2, 2002.
This document is an overview of the AIDE Intergrated Project.
This paper identifies some major challenges for HMI designers of future in-vehicle systems, and describes how these challenges will be addressed by the AIDE project.
This report focuses on visual distraction and is concerned with methods that have been used to assess visual distraction and associated findings.
This paper describes the status of European efforts to measure real-time driver workload in non-laboratory environments, in particular, distraction monitoring, and describes their efforts to develop the adaptive interface technology hardware and interpret from driver performance monitoring data.