Table of Contents Author Guidelines Submit a Manuscript
Journal of Advanced Transportation
Volume 2017, Article ID 3080859, 11 pages
https://doi.org/10.1155/2017/3080859
Research Article

A Framework for Estimating Long Term Driver Behavior

1The Massachusetts Institute of Technology, Cambridge, MA, USA
2The Renaissance Computing Institute, Chapel Hill, NC 27517, USA
3The Ohio State University, Columbus, OH, USA

Correspondence should be addressed to Vijay Gadepally; moc.liamg@yllapedag.yajiv

Received 11 July 2016; Revised 16 October 2016; Accepted 27 October 2016; Published 12 January 2017

Academic Editor: William H. K. Lam

Copyright © 2017 Vijay Gadepally et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. National Science Foundation, “Cyber-Physical Systems (CPS),” 2006, https://www.nsf.gov/pubs/2010/nsf10515/nsf10515.htm.
  2. A. Kurt, J. L. Yester, Y. Mochizuki, and Ü. Özgüner, “Hybrid-state driver/vehicle modelling, estimation and prediction,” in Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems (ITSC '10), pp. 806–811, Madeira Island, Portugal, September 2010. View at Publisher · View at Google Scholar · View at Scopus
  3. A. Kurt and Ü. Özgüner, “Hierarchical finite state machines for autonomous mobile systems,” Control Engineering Practice, vol. 21, no. 2, pp. 184–194, 2013. View at Publisher · View at Google Scholar · View at Scopus
  4. V. Gadepally, A. Kurt, A. Krishnamurthy, and Ü. Özgüner, “Driver/vehicle state estimation and detection,” in Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems (ITSC '11), pp. 582–587, IEEE, Washington, DC, USA, October 2011. View at Publisher · View at Google Scholar · View at Scopus
  5. P. Liu, A. Kurt, and U. Ozguner, “Trajectory prediction of a lane changing vehicle based on driver behavior estimation and classification,” in Proceedings of the IEEE 17th International Conference on Intelligent Transportation Systems (ITSC '14), pp. 942–947, IEEE, Qingdao, China, October 2014. View at Publisher · View at Google Scholar · View at Scopus
  6. L. Rabiner and B. Juang, “An introduction to hidden Markov models,” IEEE ASSp Magazine, vol. 3, no. 1, pp. 4–16, 1986. View at Publisher · View at Google Scholar
  7. L. R. Rabiner, “A tutorial on hidden Markov models and selected applications in speech recognition,” Proceedings of the IEEE, vol. 77, no. 2, pp. 257–286, 1989. View at Publisher · View at Google Scholar · View at Scopus
  8. A. Pentland and A. Liu, “Modeling and prediction of human behavior,” Neural Computation, vol. 11, no. 1, pp. 229–242, 1999. View at Publisher · View at Google Scholar
  9. D. Mitrović, “Reliable method for driving events recognition,” IEEE Transactions on Intelligent Transportation Systems, vol. 6, no. 2, pp. 198–205, 2005. View at Publisher · View at Google Scholar · View at Scopus
  10. V. Gadepally, A. Krishnamurthy, and U. Ozguner, “A framework for estimating driver decisions near intersections,” IEEE Transactions on Intelligent Transportation Systems, vol. 15, no. 2, pp. 637–646, 2014. View at Publisher · View at Google Scholar · View at Scopus
  11. T. M. Miller and D. H. Schuster, “Long-term predictability of driver behavior,” Accident Analysis & Prevention, vol. 15, no. 1, pp. 11–22, 1983. View at Publisher · View at Google Scholar · View at Scopus
  12. A. Várhelyi, M. Hjälmdahl, C. Hydén, and M. Draskóczy, “Effects of an active accelerator pedal on driver behaviour and traffic safety after long-term use in urban areas,” Accident Analysis & Prevention, vol. 36, no. 5, pp. 729–737, 2004. View at Publisher · View at Google Scholar · View at Scopus
  13. G. J. S. Wilde, “Social interaction patterns in driver behavior: an introductory review,” Human Factors, vol. 18, no. 5, pp. 477–492, 1976. View at Publisher · View at Google Scholar · View at Scopus
  14. A. Kurt and U. Ozguner, “Hybrid state system development for autonomous vehicle control in urban scenarios,” in Proceedings of the 17th World Congress, International Federation of Automatic Control (IFAC '08), pp. 9540–9545, Seoul, Korea, July 2008. View at Publisher · View at Google Scholar · View at Scopus
  15. V. Gadepally, “6min30sec Observation sequence with road condition information,” March 2013, https://www.youtube.com/watch?v=RkuyYh0KSLU.
  16. V. Gadepally, “(2013, Mar. 17) Highway Driving-approximately 1 min 40 sec on SR315,” YouTube video, 2013, https://www.youtube.com/watch?v=IFfJyg-XvvY.
  17. G. D. Forney, “The viterbi algorithm,” Proceedings of the IEEE, vol. 61, no. 3, pp. 268–278, 1973. View at Google Scholar
  18. L. Yu, Y. Ukidave, and D. Kaeli, “GPU-accelerated hmm for speech recognition,” in Proceedings of the 43rd International Conference on Parallel Processing Workshops (ICPPW '14), pp. 395–402, IEEE, Minneapolis, Minn, USA, September 2014. View at Publisher · View at Google Scholar · View at Scopus
  19. S. Samsi, V. Gadepally, and A. Krishnamurthy, “MATLAB for signal processing on multiprocessors and multicores,” IEEE Signal Processing Magazine, vol. 27, no. 2, pp. 40–49, 2010. View at Publisher · View at Google Scholar · View at Scopus
  20. D. E. Hudak, N. Ludban, A. Krishnamurthy, V. Gadepally, S. Samsi, and J. Nehrbass, “A computational science IDE for HPC systems: design and applications,” International Journal of Parallel Programming, vol. 37, no. 1, pp. 91–105, 2009. View at Publisher · View at Google Scholar · View at Scopus
  21. M. Jerbi, P. Marlier, and S. M. Senouci, “Experimental assessment of V2V and I2V communications,” in Proceedings of the IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS '07), pp. 1–6, IEEE, Pisa, Italy, October 2007. View at Publisher · View at Google Scholar · View at Scopus
  22. T.-Q. Tang, L. Caccetta, Y.-H. Wu, H.-J. Huang, and X.-B. Yang, “A macro model for traffic flow on road networks with varying road conditions,” Journal of Advanced Transportation, vol. 48, no. 4, pp. 304–317, 2014. View at Publisher · View at Google Scholar · View at Scopus