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Coordinating, Developing, and Delivering Highway Transportation Innovations

 
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Publication Number:  FHWA-HRT-16-056     Date:  December 2016
Publication Number: FHWA-HRT-16-056
Date: December 2016

 

Cooperative Adaptive Cruise Control Human Factors Study: Experiment 1—Workload, Distraction, Arousal, and Trust

 

ACKNOWLEDGEMENTS

This research was sponsored by the FHWA Exploratory Advanced Research Program under contract DTFH61-13-D-00024.

 

REFERENCES

  1. Jones, S. (2013). Cooperative Adaptive Cruise Control: Human Factors Analysis, Report No. FHWA-HRT-13-045, Federal Highway Administration, Washington, DC.

  2. Koziol, J., Inman, V., Carter, M., Hitz, J., Najm, W., Chen, S., Lam, A., Penic, M., Jensen, M., Baker, M., Robinson, M., and Goodspeed, C. (1999). Evaluation of the Intelligent Cruise Control System: Volume I—Study Results, Report No. DOT-VNTSC-NHTSA-98-3, National Highway Transportation Safety Administration, Washington, DC.

  3. Xiong, H. and Boyle, L.N. (2012). “Drivers’ Adaptation to Adaptive Cruise Control: Examination of Automatic and Manual Braking,” IEEE Transactions on Intelligent Transportation Systems, 13, 1468–1473.

  4. Mercedes-Benz™ USA. (2013). S Class 2014, Mercedes-Benz USA, Montvale, NJ, obtained from: http://www.mbusa.com/vcm/MB/DigitalAssets/pdfmb/brochures/2014-S-Class.pdf, last accessed June 20, 2016.

  5. Yerkes, R.M. and Dodson, J.D. (1908). “The Relation of Strength of Stimulus to Rapidity of Habit Formation,” Journal of Comparative Neurology & Psychology, 18, 459–482.

  6. Fuller, R. (2005). “Towards a General Theory of Driver Behaviour,” Accident Analysis and Prevention, 37, 461–472..

  7. Jamson, H., Merat, N., Carsten, O., and Lai, F. (2011). Fully-Automated Driving: The Road to Future Vehicles, Sixth International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, Lake Tahoe, CA, 2–9.

  8. Llaneras, R.E., Salinger, J., and Green, C.A. (2013). Human Factors Issues Associated with Limited Ability Autonomous Driving Systems: Drivers’ Allocation of Visual Attention to the Forward Roadway, Seventh International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, Bolton Landing, NY, 92–98.

  9. Rudin-Brown, C.M. and Parker, H.A. (2004). “Behavioural Adaptation to Adaptive Cruise Control (ACC): Implications for Preventive Strategies,” Transportation Research Part F: Traffic Psychology and Behaviour, 7, 59–76.

  10. Endsley, M.R. (1995). “Toward a Theory of Situation Awareness in Dynamic Systems,” Human Factors: The Journal of the Human Factors and Ergonomics Society, 37, 32–64.

  11. Endsley, M.R. (1995). “Measurement of Situation Awareness in Dynamic Systems,” Human Factors: The Journal of the Human Factors and Ergonomics Society, 37, 65–84.

  12. Human Performance Research Group. (2009). NASA Task Load Index (NASA-TLX), National Aeronautics and Space Administration, Moffett Field, CA, obtained from: http://humansystems.arc.nasa.gov/groups/TLX/downloads/TLX_pappen_manual.pdf, last accessed June 20, 2016.

  13. Inman, V.W., Bertola, M.A., and Philips, B.H. (2015). Information as a Source of Distraction, Report No. FHWA-HRT-15-027, Federal Highway Administration, Washington, DC.

  14. Smart Eye® AB. (2015). Smart Eye® Pro, Smart Eye® AB, Göteborg, Sweden, obtained from: http://smarteye.se/products/smart-eye-pro/, last accessed August 27, 2015.

  15. Taieb-Maimon, M. and Shinar, D. (2001). “Minimum and Comfortable Driving Headways: Reality Versus Perception,” Human Factors: The Journal of the Human Factors and Ergonomics Society, 43, 159–172.

  16. Hochberg, J. (1971). “Perception 1. Color and Shape,” Woodworth & Schlosbergs’ Experimental Psychology, Third Edition, eds. Kling, J.W. and Riggs, L.A., Holt, Rinehart and Winston, Inc., Austin, TX.

  17. Hydén, C. (1987). The Development of a Method for Traffic Safety Evaluation: The Swedish Traffic Conflicts Technique, Lund Institute of Technology, Lund, Sweden.

  18. 18. Brown, T.L. (2005). Adjusted Minimum Time-to-Collision (TTC): A Robust Approach to Evaluating Crash Scenarios, Driving Simulation Conference 2005 North America, Orlando, FL, 40–48.

 

 

 

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