Distracted driving performance measures spectral power analysis

Transportation Research Record

Volumn 2518, Issue , 2015, Pages 68-72

  Bao, Shan ^a   Guo, Zizheng ^a   Flannagan, Carol ^a   Sullivan, John ^a   Sayer, James R ^a   LeBlanc, Dave ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOBILE DRIVERS; CONTROL SYSTEM SYNTHESIS; FREQUENCY DOMAIN ANALYSIS; SIGNAL PROCESSING; TIME DOMAIN ANALYSIS; VEHICLES;

BEHAVIORAL FEATURES; DRIVING PERFORMANCE MEASURES; FREQUENCY DOMAINS; LATERAL CONTROL; POWER ANALYSIS; SIGNAL PROCESSING ALGORITHMS; SPECTRAL POWER; STANDARD DEVIATION; TIME DOMAIN; VEHICLE CONTROL;

FAST FOURIER TRANSFORMS;

EID: 84980398130     PISSN: 03611981     EISSN: 21694052     Source Type: Journal    
DOI: 10.3141/2518-09     Document Type: Article

References (13)

1. Distracted Driving 2012. NHTSA, U.S. Department of Transportation, 2012.
2. Liang, Y., and J. D. Lee. Combining Cognitive and Visual Distraction: Less Than the Sum of Its Parts. Accident Analysis and Prevention, Vol. 42, No. 3, 2010, pp. 881-890.
3. Nemme, H. E., and K. M. White. Texting While Driving: Psychosocial Influences on Young People's Texting Intentions and Behaviour. Accident Analysis and Prevention, 42, 2010, pp. 1257-1265.
4. Strayer, D., and F. Drews. Cell-Phone Induced Driver Distraction. Current Directions in Psychological Science, Vol. 16, No. 3, 2007, pp. 128-131.
5. Distracted Driving: What Research Shows and What States Can Do. Governors Highway Safety Association, Washington, D.C., 2012.
6. Ranney, T. A. Driver Distraction: A Review of the Current State-of-Knowledge. Report DOT HS 810 7874. NHTSA, U.S. Department of Transportation, Washington, D.C., 2008. http://www.nhtsa.gov/DOT /NHTSA/NRD/Multimedia/PDFs/Crash%20Avoidance/2008/810787.pdf.
7. Traffic Safety Facts: Driver Electronic Device Use in 2010. Report DOT HS-811-517. NHTSA, U.S. Department of Transportation, 2011.
8. He, J., J. S. McCarley, and A. F. Kramer. Lane Keeping Under Cognitive Load Performance Changes and Mechanisms. Human Factors, Vol. 56, No. 2, 2014, pp. 414-426.
9. Brigham, E. O. The Fast Fourier Transform and Its Applications. Prentice Hall, Upper Saddle River, N.J., 1988.
10. Mager, D. E., and D. R. Abernethy. Use of Wavelet and Fast Fourier Transforms in Pharmacodynamics. Journal of Pharmacology and Experimental Therapeutics, Vol. 321, No. 2, 2007, pp. 423-430.
11. Akin, M., M. B. Kurt, N. Sezgin, and M. Bayram. Estimating Vigilance Level by Using EEG and EMG Signals. Neural Computing and Applications, Vol. 17, No. 3, 2007, pp. 227-236.
12. Sayer, J. R., S. E. Bogard, M. L. Buonarosa, D. J. LeBlanc, D. S. Funkhouser, S. Bao, and A. Blankespoor. Integrated Vehicle-Based Safety Systems Light-Vehicle Field Operational Test Key Findings Report. Intelligent Transportation System Joint Program Office, Research and Innovative Technology Administration, U.S. Department of Transportation, Ann Arbor, Mich., 2011.
13. Funkhouser, D., and J. Sayer. A Naturalistic Driving Census. University of Michigan Transportation Research Institute, Ann Arbor, 2011.