Estimation of driver reaction time from car-following data application in evaluation of general motor-type model

Transportation Research Record

Volumn , Issue 1965, 2006, Pages 130-141

  Ma, Xiaoliang ^a   Andréasson, Ingmar ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; CLOSED LOOP CONTROL SYSTEMS; COMPUTER SIMULATION; DATA ACQUISITION; MATHEMATICAL MODELS; MOTOR TRANSPORTATION; STREET TRAFFIC CONTROL;

CLOSED LOOP SIMULATIONS; DRIVER REACTION TIMES; MOTOR TYPE MODELS; REAL TRAFFIC FLOW;

AUTOMOBILE DRIVERS;

EID: 33847165249     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1965-14     Document Type: Conference Paper

References (30)

1. Gazis, D. C., R. Herman, and R. W. Rothery. Nonlinear Follow-the-Leader Models of Traffic Flow. Operational Research, Vol. 9, 1961.
2. Chandler, R. E., R. Herman, and E. W. Montroll. Traffic Dynamics: Studies in Car Following. Operational Research, Vol.6, 1958, pp. 165-184.
3. Brackstone, M., and M. McDonald. Car Following: A Historical Review. Transportation Research F, Vol. 2, 1999, pp. 181-196.
4. Chakroborty, P., and S. Kikuchi. Evaluation of General Motors Based Car Following Models and a Proposed Fuzzy Inference Model. Transportation Research C, Vol. 7, 1999, pp. 209-235.
5. Leutzbach, W., and R. Wiedemann. Development and Applications of Traffic Simulation Models at the Karlsruhe Institut fur Verkehrswesen. Traffic Engineering and Control, May 1986, pp. 270-278.
6. Boer, E. R., and R. V. Kenyon. Estimation of Time Varying Delay Time in Non-stationary Linear Systems: An Approach to Monitor Human Operator Adaptation in Manual Tracking Tasks. IEEE Transactions on System, Man and Cybernetics, 1996.
7. Gerlough, D. L., and M. J. Huber. Special Report 165: Traffic Flow Theory: A Monograph. TRB, National Research Council, Washington, D.C., 1975.
8. Aycin, M. F., and R. F. Benekohal. Performance of the Generalized Car-Following Model Obtained from Macroscopic Flow Relationships in Simulating Field Data. Presented at 83rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2004.
9. Johansson, G., and K. Rummer. Drivers' Brake Reaction Time. Human Factors, Vol. 13, No. 1, 1971, p. 23.
10. T. Magister, R. Krulec, M. Batista, and L. Bogdanoviæ. The Driver Reaction Time Measurement Experiences. Proceedings of Innovative Automotive Technology (IAT'05) Conference, Bled, Slovenia, 2005.
11. Fambro, D. B., R. J. Koppa, D. L. Picha, and K. Fitzpatrick. Driver Perception-Brake Response in Stopping Sight Distance Situations. In Transportation Research Record 1628, TRB, National Research Council, Washington, D.C., 1998, pp. 1-7.
12. Ozaki, H. Reaction and Anticipation in the Car-Following Behavior. Proc., 12th International Symposium on the Theory of Traffic Flow and Transportation, Berkeley, Calif., 1993.
13. Ranjitkar, P., T. Nakatsuji, Y. Azuta, and G. S. Gurusinghe. Stability Analysis Based on Instantaneous Driving Behavior Using Car-Following Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 1852, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 140-151.
14. Ahmed, K. I. Modeling Drivers' Acceleration and Lane Changing Behavior. PhD thesis. Massachusetts Institute of Technology, Cambridge, Mass., 1999.
15. Ma, X., and I. Andréasson. Dynamic Car Following Data Collection and Noise Cancellation Based on the Kalman Smoothing. Proceedings of IEEE International Conference on Vehicular Electronics and Safety, 2005.
16. Hakin, S. Kalman Filtering and Neural Networks. John Wiley and Sons, New York, 2001.
17. Kim, T., D. J. Lovell, and Y. Park. Limitations of Previous Models on Car-Following Behavior and Research Needs. Presented at 82nd Annual Meeting of the Transportation Research Board, Washington, D.C., 2003.
18. Bengtsson, J. Adaptive Cruise Control and Driver Modeling. PhD thesis. Lund Institute of Technology, Sweden, 2001.
19. Ma, X., and I. Andréasson. Behavior Measurement, Analysis and Regime Classification in Car-Following. IEEE Transactions on Intelligent Transportation Systems, 2006, in press.
20. Johansson, R. System Modeling and Identification. Prentice Hall, Englewood Cliffs, N.J., 1993.
21. Hayes, M. H. Statistical Digital Signal Processing and Modeling. John Wiley and Sons, Toronto, Ontario, Canada, 1996.
22. Brockwell, P. J., and R. A. Davis. Time Series: Theory and Methods. Springer, New York, 1991.
23. Björklund, S. A Survey and Comparison of Time-Delay Estimation Methods in Linear Systems. PhD thesis. Linköping University, Sweden, 2003.
24. Hannan, E. J., and P. J. Thomson. Delay Estimation and Estimation of Coherence and Phase. IEEE Transaction: Acoustics, Speech, Signal Process, Vol. 29, 1981, pp. 485-490.
25. Muller, T., M. Lauk, M. Reinhard, C. H. Luking, and J. Timmer. Estimation of Delay Times in Biological Systems. Annals of Biomedical Engineering, Vol. 3, 2003, pp. 1423-1438.
26. Oppenheim, A. V., and R. W. Schafer. Digital Signal Processing. Prentice Hall, Englewood Cliffs, N.J., 1975.
27. Barton, J. E., and T. E. Cohn. Dynamic Estimation of Oncoming-Vehicle Range and Range Rate: Assessment of Human Visual System's Capabilities and Performance. Presented at 84th Annual Meeting of the Transportation Research Board, Washington, D.C., 2005.
28. Jang, J.-S., C.-T. Sun, and E. Mizutani. Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence. Prentice Hall, Englewood Cliffs, N.J., 1997.
29. Punzo, V., and F. Simonelli. Analysis and Comparison of Microscopic Traffic Flow Models with Real Traffic Microscopic Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 1934, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 53-63.
30. Brockfeld, E., R. D. Kühne, and P. Wagner. Calibration and Validation of Microscopic Traffic Flow Models. In Transportation Research Record: Journal of the Transportation Research Board, No. 1876, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 62-70.