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This study investigated pilots' taxi performance, situation awareness and workload while taxiing with three different head-up display (HUD) symbology formats: Command-guidance, Situation-guidance and Hybrid. Command-guidance symbology provided the pilot with required control inputs to maintain centerline position; Situation-guidance symbology provided conformal, scene-linked navigation information; while the Hybrid symbology combined elements of both symbologies. Taxi speed, centerline tracking accuracy, workload and situation awareness were assessed. Taxi speed, centerline accuracy, and situation awareness were highest and workload lowest with Situation-guidance and Hybrid symbologies. These results are thought to be due to cognitive tunneling induced by the Command-guidance symbology. The conformal route information of the Situation-guidance and Hybrid HUD formats provided a common reference with the environment, which may have supported better distribution of attention.

This paper describes the application of human factors research tools to the design of Intelligent Transportation Systems (ITS). A key issue in the conduct of human factors research for ITS is to select a research tool that provides the desired design information at the lowest technical risk and lowest cost. Below, we describe three studies that addressed human performance issues associated with ITS, each using tools that were selected on the basis of explicit research objectives. Using the appropriate research tools will allow the human factors professional to meet the needs of ITS designers and developers and, most important of all, the drivers who will benefit from these systems.