Signal Processing - November 2016 - 21

modeling of driver behavior. She received the Best
Conference Paper Award at the 2009 IEEE International
Conference on Vehicular Electronics and Safety and the
Best Paper Award at the Second International Sym posium on Future Active Safety Technology Toward Zero
Traffic Accidents.
Kazuya Takeda (kazuya.takeda@nagoya-u.jp) received his
B.E.E., M.E.E., and Ph.D. degrees from Nagoya University,
Japan, in 1983, 1985, and 1994, respectively. Since 1985, he
has worked at Advanced Tele communication Research
Laboratories and at KDD R&D Laboratories, Japan. In 1995,
he started a research group for signal processing applications at
Nagoya University. His main focus is investigating driving
behavior using data centric approaches, utilizing signal corpora
of real driving behavior. He is currently a professor at the
Institutes of Innovation for Future Society, Nagoya University.
He is also a member of the Board of Governors of the IEEE
Intelligent Transportation Systems Society. He is a Senior
Member of the IEEE.

References

[1] T. A. Dingus, S. G. Klauer, V. L. Neale, A. Petersen, S. E. Lee, J. Sudweeks, M. A.
Perez, J. Hankey, D. Ramsey, S. Gupta, C. Bucher, Z. R. Doerzaph, J. Jermeland, and
R. R. Knipling, "The 100-car naturalistic driving study, Phase II: Results of the 100-car
field experiment," National Highway Traffic Safety Administration, Washington, DC,
Tech. Rep. DOT HS 810 593, Apr. 2006.

[13] Y. Nishiwaki, C. Miyajima, N. Kitaoka, K. Itou, and K. Takeda,
"Generation of pedal operation patterns of individual drivers in car-following for
personalized cruise control," in Proc. IEEE Intelligent Vehicles Symp., 2007,
pp. 823-827.
[14] P. Angkititrakul, C. Miyajima, and K. Takeda, "Modeling and adaptation of stochastic driver behavior model with application to car following," in Proc. IEEE
Intelligent Vehicles Symp., 2011, pp. 814-819.
[15] P. Angkititrakul, C. Miyajima, and K. Takeda, "An improved driver-behavior
model with combined individual and general drivin characteristics," in Proc. IEEE
Intelligent Vehicles Symp., 2012, pp. 426-431.
[16] K. Takeda, C. Miyajima, T. Suzuki, P. Angkititrakul, K. Kurumida, Y.
Kuroyanagi, H. Ishikawa, R. Terashima, T. Wakita, M. Oikawa, and Y. Komada,
"Self-coaching system based on recorded driving data: Learning from one's experiences," IEEE Trans. Intell. Transport. Syst., vol. 3, no. 4, pp. 1821-1831,
Dec. 2012.
[17] Y. Nishiwaki, C. Miyajima, N. Kitaoka, and K. Takeda, "A stochastic signal model for predicting the vehicle trajectory at lane change," in Digital Signal
Processing for In-Vehicle Systems and Safety, Part C, J. H. L Hansen, P.
Boyraz, K. Takeda, and H. Abut, Eds. New York: Springer, 2012, ch. 19,
pp. 271-282.
[18] M. Mori, C. Miyajima, T. Hirayama, N. Kitaoka, and K. Takeda, "Integrated
modeling of driver gaze and vehicle operation behavior to estimate risk level during lane
changes," in Proc. IEEE Int. Conf. Intelligent Transportation Systems, 2013,
pp. 2020-2025.
[19] L. Malta, C. Miyajima, N. Kitaoka, and K. Takeda, "Analysis of real-world driver's frustration," IEEE Trans. Intell. Transport. Syst., vol. 12, no. 1,
pp. 109-118, Mar. 2011.
[20] L. Malta, C. Miyajima, and K. Takeda, "A study of driver behavior under potential
threats in vehicle traffic," IEEE Trans. Intell. Transport. Syst., vol. 10, no. 2, pp. 201-
210, June 2009.

[2] G. M. Fitch, S. E. Lee, S. G. Klauer, J. Hankey, J. Sudweeks, and T. A. Dingus,
"Analysis of lane-change crashes and near-crashes," National Highway Traffic Safety
Administration, Washington, DC, Tech. Rep. DOT HS 811 147, June 2009.

[21] H. Terai, H. Okuda, K. Hitomi, T. Bando, C. Miyajima, T. Hirayama, Y.
Shinohara, M. Egawa, and K. Takeda, "An experimental study on the difference
in drivers' decision-making behavior during manual and supported driving,"
in Proc. 6th Int. Conf. Applied Hunan Factors and Ergonomics, 2015,
pp. 3136-3141.

[3] T. A. Dingus, J. M. Hankey, J. F. Antin, S. E. Lee, L. Eichelberger, K. E. Stulce, D.
McGraw, M. Perez, and L. Stowe, "Naturalistic driving study: Technical coordination
and quality control," Transportation Research Board, Washington, DC, SHRP2 Rep.
S2-S06-RW-1, Mar. 2015.

[22] C. Miyajima, S. Yamazaki, T. Bando, K. Hitomi, H. Terai, H. Okuda, T.
Hirayama, M. Egawa, T. Suzuki, and K. Takeda, "Analyzing driver gaze behavior and
consistency of decision making during automated driving," in Proc. 2015 IEEE
Intelligent Vehicles Symp., 2015, pp. 1293-1298.

[4] R.K. Satzoda, P. Gunaratne, and M.M. Trivedi, "Drive analysis using lane semantics for data reduction in naturalistic driving studies," in Proc. IEEE Intelligent Vehicles
Symp., 2014, pp. 293-298.

[23] FOT-Net Data. [Online]. Available: http://fot-net.eu

[5] M. Benmimoun, A. Pütz, A. Zlocki, and L. Eckstein, "euroFOT: Field operational
test and impact assessment of advanced driver-assistance systems: Final results," in
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2013, vol. 197, pp. 537-547.
[6] R. Eenink, Y. Barnard, M. Baumann, X. Augros, and F. Utesch, "UDRIVE: The
European naturalistic driving study," presented at the Transport Research Arena Conf.,
Apr. 2014.
[7] M. A. Regan, A. M. Williamson, R. Grzebieta, J. L. Charlton, M. G. Lenné, B.
Watson, N. L. Haworth, A. Rakotonirainy, J. E. Woolley, R. W. G. Anderson, T. M.
Senserrick, and K. L. Young, "Australian 400-car Naturalistic Driving Study:
Innovation in road safety research and policy," in Proc. Australian Road Safety
Research, Policing & Education Conf., 2013, pp. 1-13.

[24] C. Miyajima, H. Ishikawa, M. Kaneko, N. Kitaoka, and K. Takeda, "Analysis of
driving behavior signals recorded from different types of vehicles using CAN and
Smartphone," presented at the 2nd Int. Symp. Future Active Safety Technology
Toward Zero Traffic Accidents, Sept. 2013.
[25] Y. Sakaguchi, M. Okuwa, K. Takiguchi, and M. Akamatsu, "Measuring and
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SmartCar," in Proc. Int. Soc. Optical Engineering Aerosense Conf., Apr. 2000, pp.
280-290.
[27] H. Okuda, N. Ikami, T. Suzuki, Y. Tazaki, and K. Takeda, "Modeling and analysis of driving behavior based on a probability-weighted ARX model," IEEE Trans.
Intell. Transport. Syst., vol. 14, no. 1, pp. 98-112, Aug. 2013.

[8] P. Raksincharoensak, "Drive recorder database for accident/incident study and its
potential for active safety development," presented at the FOT-NET Workshop, Tokyo,
Japan, Oct. 2013.

[28] A. Jain, A. Singh, H. S. Koppula, S. Soh, and A. Saxena, "Recurrent neural networks for driver activity anticipation via sensory-fusion architecture," in Proc. IEEE
Int. Conf. Robotics and Automation, 2016, pp. 3118-3125.

[9] Research Institute of Human Engineering for Quality Life. Driving behavior database (in Japanese) [Online]. Available: http://www.hql.jp/database/drive/

[29] T. Taniguchi, S. Nagasaka, K. Hitomi, N. P. Chandrasiri, and T. Bando,
"Semiotic prediction of driving behavior using unsupervised double articulation analyzer," in Proc. IEEE Intelligent Vehicles Symp., 2012, pp. 849-853.

[10] N. Kawaguchi, S. Matsubara, K. Takeda, and F. Itakura, "Multimedia data collection of in-car speech communication," in Proc. Eurospeech, 20 01,
pp. 2027-2030.
[11] K. Takeda, J. H. Hansen, P. Boyraz, L. Malta, C. Miyajima, and H. Abut,
"International large-scale vehicle corpora for research on driver behavior on the road,"
IEEE Trans. Intell. Transport Syst., vol. 12, no. 4, pp. 1609-1623, Dec. 2011.
[12] C. Miyajima, Y. Nishiwaki, K. Ozawa, T. Wakita, K. Itou, K. Takeda, and F.
Itakura, "Driver modeling based on driving behavior and its evaluation in driver identification," Proc. IEEE, vol. 95, no. 2, pp. 427-437, Feb. 2007.

[30] T. Bando, K. Takenaka, S. Nagasaka, and T. Taniguchi, "Unsupervised drive
topic finding from driving behavioral data," in Proc. IEEE Intelligent Vehicles Symp.,
2013, pp. 177-182.
[31] S. Yamazaki, C. Miyajima, E. Yurtsever, K. Takeda, M. Mori, K. Hitomi, and M.
Egawa, "Integrating driving behavior and traffic context through signal symbolization,"
in Proc. IEEE Intelligent Vehicles Symp., 2016, pp. 642-647.

IEEE SIgnal ProcESSIng MagazInE

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November 2016

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http://www.fot-net.eu http://www.hql.jp/database/drive/
Table of Contents for the Digital Edition of Signal Processing - November 2016
