Towards a driver model: Preliminary study of lane change behavior

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2008, Pages 931-937

  Dogan, Ueruen ^a   Edelbranner, Hannes ^b   Iossifidis, Ioannis ^a  

^a RUHR UNIVERSITY BOCHUM   (Germany)

^b Technology Center Ruhr   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CHANGE DETECTIONS; DRIVER MODELS; EARLY PREDICTIONS; FEED-FORWARD NEURAL NETWORKS; LANE CHANGE MANEUVERS; LANE CHANGES; SUPPORT VECTORS; TEST BEDS; TEST DRIVES; TIME TO CONTACTS; TRAFFIC SIMULATORS;

EQUIPMENT TESTING; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; RECURRENT NEURAL NETWORKS; SUPPORT VECTOR MACHINES; VEHICLE ACTUATED SIGNALS; VEHICLE LOCATING SYSTEMS;

AUTOMOBILE DRIVERS;

EID: 60749090412     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2008.4732700     Document Type: Conference Paper

References (19)

1. G. Burnham, S. Jinbom, and G. Bekey, "Identification of human driver models in car following," IEEE Transactions on Automatic Control, vol. 19, no. 6, pp. 911-915, 1974.
2. J. Tyler Jr., "The characteristics of model-following systems as synthesized by optimal control," IEEE Transactions on Automatic Control, vol. 4, no. 6, pp. 485-498, 1964.
3. P. Ioannou and C. Chien, "Autonomous intelligent cruise control," IEEE Transactions Vehicular Technology, vol. 42, no. 4, pp. 657-672, 1993.
4. I. Dagli, M. Brost, and G. Breuel, "Action recognition and prediction for driver assistance systems using dynamic belief networks," 2002. [Online]. Available: citeseer.ist.psu.edu/dagli02action.html
5. A. Pellecchia and J. Edelbrunner, "Modeling real driving behaviors through attractor dynamics for motivation," in Intelligent Vehicles Symposium, 2004 IEEE, 14-17 June 2004, pp. 121-126.
6. G. Jung, S. Kim, J. Yoon, and J. Kim, "Autonomous intelligent cruise control," Intelligent Vehicles Symposium, no. 13, pp. 106-113, 2006.
7. J. McCall and M. Trivedi, "Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation," IEEE Transactions on Intelligent Transportation Systems, vol. 7, no. 1, pp. 20-37, 2006.
8. S. Haykin, Neural Networks: A Comprehensive Foundation. Prentice Hall PTR Upper Saddle River, NJ, USA, 1994.
9. P. Stagge and B. Sendhoff, "An extended elman net for modeling time series," Artificial Neural Networks (ICANN 97), vol. 1327, 1997.
10. A. Cleeremans, D. Servan-Schreiber, and J. McClelland, "Finite state automata and simple recurrent networks," Neural Computation, vol. 50, no. 3, pp. 223-235, 2003.
11. J. Elman, "Finding structure in time," Connectionist Psychology: A Text with Readings, 1999.
12. C. Giles, C. Miller, D. Chen, G. Sun, H. Chen, and Y. Lee, "Extracting and learning an unknown grammar with recurrent neural networks," Advances in Neural Information Processing Systems, vol. 4, pp. 317-324, 1992.
13. M. Hüsken and P. Stagge, "Recurrent neural networks for time series classification," Neurocomputing, vol. 1327, 1997.
14. C. Cortes and V. Vapnik, "Support-vector networks," Machine Learning, vol. 20, no. 3, pp. 273-297, 1995.
15. B. Schölkopf and A. Smola, Learning with Kernels: Support Vector Machines, Regularization, Optimization, arid Beyond. MIT Press Cambridge, MA, USA, 2001.
16. C. Hatipoglu, U. Ozguner, and K. Redmill, "Automated lane change controller design," Intelligent Transportation Systems, IEEE Transactions on, vol. 4, no. 1, pp. 13-22, 2003.
17. H. Jula, E. Kosmatopoulos, and P. Ioannou, "Collision avoidance analysis for lane changing and merging," Vehicular Technology, IEEE Transactions on, vol. 49, no. 6, pp. 2295-2308, 2000.
18. A. Pellecchia, C. Igel, J. Edelbrunner, and G. Schoner, "Making driver modeling attractive," vol. 20, no. 2, pp. 8-12, 2005.
19. C. Igel, T. Glasmachers, and V. Heidrich-Meisner, "Shark," Journal of Machine Learning Research, vol. 9, pp. 993-996, 2008.