DIRECT Operational Field Test Evaluation: Human Factors: Driver Performance and Memory for Traffic Messages. Effects of the Number of Messages, Audio Quality, and Relevance
Fleming, J., Green, P., & Katz, S. (1998). DIRECT Operational Field Test Evaluation: Human Factors: Driver Performance and Memory for Traffic Messages. Effects of the Number of Messages, Audio Quality, and Relevance (Report No. EECS-ITS LAB-DT98-003). University of Michigan. Intelligent Transportation Systems Research Laboratory. https://rosap.ntl.bts.gov/view/dot/2316
Fleming, Jill, P. Green, and Stewart Katz. DIRECT Operational Field Test Evaluation: Human Factors: Driver Performance and Memory for Traffic Messages. Effects of the Number of Messages, Audio Quality, and Relevance. Report no. EECS-ITS LAB-DT98-003. University of Michigan. Intelligent Transportation Systems Research Laboratory, 1998. https://rosap.ntl.bts.gov/view/dot/2316.
Fleming, Jill, et al. DIRECT Operational Field Test Evaluation: Human Factors: Driver Performance and Memory for Traffic Messages. Effects of the Number of Messages, Audio Quality, and Relevance. University of Michigan. Intelligent Transportation Systems Research Laboratory, 1998, Report no. EECS-ITS LAB-DT98-003, ROSA P. https://rosap.ntl.bts.gov/view/dot/2316.
Details
Alternative Title:
DIRECT: Operational Field Test Evaluation: Human Factors
Driver Information Radio using Experimental Communication Technologies: In this experiment, 32 licensed drivers (16 young, 16 old) drove on an expressway. On each trial (96 per subject), 1 to 3 traffic messages containing 6 to 14 items were presented. (l-94 Eastbound at Southfield Freeway, continuing construction, right lane blocked, 3 mile backup.). Imagining they were driving from Ann Arbor to Detroit on l-94, subjects identified messages relevant to that route and recalled them. Messages were either of good or poor audio quality (to simulate poor reception).
Driver Information Radio using Experimental Communication Technologies: Institutional issues have been defined as non-technical issues or concerns tha
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Driver Information Radio using Experimental Communication Technologies: This appendix contains the "raw" "quantitative" data from the before and after
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University of Michigan. Intelligent Transportation Systems Research Laboratory
This report presents evaluation results from the Subject Stated Response portion (Part I) of the Natural Use Study of the DIRECT (Driver Information R
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This report describes the DIRECT [Driver Information Radio using Experimental Communication Technologies field test which was designed to evaluate the
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Vehicle tracking systems were installed on all DIRECT (Driver Information Radio using Experimental Communication Technologies) vehicles to help invest
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The DIRECT [Driver Information Radio using Experimental Communication Technologies project compared four low-cost driver information systems. Of the f
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Driver Information Radio using Experimental Communication Technologies: The purpose of the simulation evaluation is to assess the expected future impa
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The Driver Information Radio using Experimental Communication Technologies (DIRECT) Operational Field Test (OFT) aims to increase the number of driver
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Fleming, J., Green, P., & Katz, S. (1998). DIRECT Operational Field Test Evaluation: Human Factors: Driver Performance and Memory for Traffic Messages. Effects of the Number of Messages, Audio Quality, and Relevance (Report No. EECS-ITS LAB-DT98-003). University of Michigan. Intelligent Transportation Systems Research Laboratory. https://rosap.ntl.bts.gov/view/dot/2316
Fleming, Jill, P. Green, and Stewart Katz. DIRECT Operational Field Test Evaluation: Human Factors: Driver Performance and Memory for Traffic Messages. Effects of the Number of Messages, Audio Quality, and Relevance. Report no. EECS-ITS LAB-DT98-003. University of Michigan. Intelligent Transportation Systems Research Laboratory, 1998. https://rosap.ntl.bts.gov/view/dot/2316.
Fleming, Jill, et al. DIRECT Operational Field Test Evaluation: Human Factors: Driver Performance and Memory for Traffic Messages. Effects of the Number of Messages, Audio Quality, and Relevance. University of Michigan. Intelligent Transportation Systems Research Laboratory, 1998, Report no. EECS-ITS LAB-DT98-003, ROSA P. https://rosap.ntl.bts.gov/view/dot/2316.
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