A, P., rez, Garc, M. I., Nieto, M., Pedraza, J. L., Rodr, S., . . . Zamorano, J. (2010). Argos: An
Advanced In-Vehicle Data Recorder on a Massively Sensorized Vehicle for Car Driver
Behavior Experimentation. IEEE Transactions on Intelligent Transportation Systems,
11(2), 463-473. doi:10.1109/TITS.2010.2046323
AbuAli, N. (2015). Advanced vehicular sensing of road artifacts and driver behavior. Paper
presented at the 2015 IEEE Symposium on Computers and Communication (ISCC).
Acarman, T. (2012). Monitoring Driver's Authority: Simulator Study*. IFAC Proceedings
Volumes, 45(24), 249-255. doi:http://dx.doi.org/10.3182/20120912-3-BG-
2031.00052
Albert, G., Musicant, O., Oppenheim, I., & Lotan, T. (2016). Which smartphone's apps may
contribute to road safety? An AHP model to evaluate experts' opinions. Transport
Policy, 50, 54-62. doi:http://dx.doi.org/10.1016/j.tranpol.2016.06.004
Ali, N. A., AbuElkhair, M., & Bouktif, S. (2016, 3-6 April 2016). Utilizing VIN for improved
vehicular sensing. Paper presented at the 2016 IEEE Wireless Communications and
Networking Conference.
Amsalu, S. B., & Homaifar, A. (2016). Driver behavior modeling near intersections using
Hidden Markov Model based on genetic algorithm. Paper presented at the 2016 IEEE
International Conference on Intelligent Transportation Engineering (ICITE).
Amsalu, S. B., Homaifar, A., Afghah, F., Ramyar, S., & Kurt, A. (2015). Driver behavior
modeling near intersections using support vector machines based on statistical
feature extraction. Paper presented at the 2015 IEEE intelligent vehicles symposium
(IV).
Andria, G., Attivissimo, F., Di Nisio, A., Lanzolla, A. M. L., & Pellegrino, A. (2016).
Development of an automotive data acquisition platform for analysis of driving
behavior. Measurement, 93, 278-287.
doi:http://dx.doi.org/10.1016/j.measurement.2016.07.035
Angkititrakul, P., Miyajima, C., & Takeda, K. (2012, 24-27 July 2012). Impact of driving
context on stochastic driver-behavior model: Quantitative analysis of car following
task. Paper presented at the Vehicular Electronics and Safety (ICVES), 2012 IEEE
International Conference on.
Angkititrakul, P., Miyajima, C., & Takeda, K. (2012). Impact of driving context on stochastic
driver-behavior model: Quantitative analysis of car following task. Paper presented
at the 2012 IEEE International Conference on Vehicular Electronics and Safety (ICVES
2012).
Ara, R., x00Fa, jo, x00C, Igreja, Castro, R. d., . . . jo. (2012, 3-7 June 2012). Driving coach: A
smartphone application to evaluate driving efficient patterns. Paper presented at the
Intelligent Vehicles Symposium (IV), 2012 IEEE.
Aria, E., Olstam, J., & Schwietering, C. (2016). Investigation of Automated Vehicle Effects on
Driver's Behavior and Traffic Performance. Transportation Research Procedia, 15,
761-770. doi:http://dx.doi.org/10.1016/j.trpro.2016.06.063
Auberlet, J.-M., Rosey, F., Anceaux, F., Aubin, S., Briand, P., Pacaux, M.-P., & Plainchault, P.
(2012). The impact of perceptual treatments on driver's behavior: From driving
simulator studies to field tests—First results. Accident Analysis & Prevention, 45, 91-
98. doi:http://dx.doi.org/10.1016/j.aap.2011.11.020
Bagdadi, O. (2013). Assessing safety critical braking events in naturalistic driving studies.
Transportation Research Part F: Traffic Psychology and Behaviour, 16, 117-126.
doi:http://dx.doi.org/10.1016/j.trf.2012.08.006
Bando, T., Takenaka, K., Nagasaka, S., & Taniguchi, T. (2013, 23-26 June 2013). Unsupervised
drive topic finding from driving behavioral data. Paper presented at the 2013 IEEE
Intelligent Vehicles Symposium (IV).
Banjanovic-Mehmedovic, L., Stojak, R., & Kasapovic, S. (2016, 12-16 June 2016). Driving
behavior simulator of lane changing using user-designed interface. Paper presented
at the 2016 5th Mediterranean Conference on Embedded Computing (MECO).
Baptista, P., Duarte, G., Goncalves, G., & Rolim, C. (2014, 27-30 Oct. 2014). ICT for Mobility
Pattern and Driver Behavior Characterization: Trial Case-Study in the City of Lisbon,
Portugal. Paper presented at the 2014 IEEE Vehicle Power and Propulsion
Conference (VPPC).
Begum, S. (2013, 6-9 Oct. 2013). Intelligent driver monitoring systems based on physiological
sensor signals: A review. Paper presented at the 16th International IEEE Conference
on Intelligent Transportation Systems (ITSC 2013).
Bender, A., Agamennoni, G., Ward, J. R., Worrall, S., & Nebot, E. M. (2015). An Unsupervised
Approach for Inferring Driver Behavior From Naturalistic Driving Data. IEEE
Transactions on Intelligent Transportation Systems, 16(6), 3325-3336.
doi:10.1109/TITS.2015.2449837
Bender, A., Agamennoni, G., Ward, J. R., Worrall, S., & Nebot, E. M. J. I. T. o. I. T. S. (2015).
An unsupervised approach for inferring driver behavior from naturalistic driving
data. 16(6), 3325-3336.
Bifulco, G. N., Pariota, L., Brackstione, M., & McDonald, M. (2013a). Driving behaviour
models enabling the simulation of Advanced Driving Assistance Systems: revisiting
the Action Point paradigm. Transportation Research Part C: Emerging Technologies,
36, 352-366. doi:http://dx.doi.org/10.1016/j.trc.2013.09.009
Bifulco, G. N., Pariota, L., Brackstione, M., & Mcdonald, M. J. T. R. P. C. E. T. (2013b). Driving
behaviour models enabling the simulation of Advanced Driving Assistance Systems:
revisiting the Action Point paradigm. 36, 352-366.
Botzer, A., Musicant, O., & Perry, A. (2017). Driver behavior with a smartphone collision
warning application – A field study. Safety Science, 91, 361-372.
doi:http://dx.doi.org/10.1016/j.ssci.2016.09.003
Bruwer, F. J., & Booysen, M. J. (2015, 7-10 Dec. 2015). Comparison of GPS and MEMS
Support for Smartphone-Based Driver Behavior Monitoring. Paper presented at the
2015 IEEE Symposium Series on Computational Intelligence.
Carmona, J., García, F., Martín, D., Escalera, A., & Armingol, J. J. S. (2015a). Data fusion for
driver behaviour analysis. 15(10), 25968-25991.
Carmona, J., García, F., Martín, D., Escalera, A. d. l., & Armingol, J. M. (2015b). Data fusion
for driver behaviour analysis. Sensors, 15(10), 25968-25991.
Carmona, J., Miguel, M. A. d., Martin, D., Garcia, F., & Escalera, A. d. l. (2016, 19-22 June
2016). Embedded system for driver behavior analysis based on GMM. Paper
presented at the 2016 IEEE Intelligent Vehicles Symposium (IV).
Carsten, O., Kircher, K., & Jamson, S. (2013). Vehicle-based studies of driving in the real
world: The hard truth? Accident Analysis & Prevention, 58, 162-174.
doi:http://dx.doi.org/10.1016/j.aap.2013.06.006
Castignani, G., Derrmann, T., Frank, R., & Engel, T. (2015a). Driver Behavior Profiling Using
Smartphones: A Low-Cost Platform for Driver Monitoring. IEEE Intelligent
Transportation Systems Magazine, 7(1), 91-102. doi:10.1109/MITS.2014.2328673
Castignani, G., Derrmann, T., Frank, R., & Engel, T. (2015b, 24-24 Nov. 2015). Validation
study of risky event classification using driving pattern factors. Paper presented at
the 2015 IEEE Symposium on Communications and Vehicular Technology in the
Benelux (SCVT).
Castignani, G., Frank, R., & Engel, T. (2013a, 6-9 Oct. 2013). Driver behavior profiling using
smartphones. Paper presented at the 16th International IEEE Conference on
Intelligent Transportation Systems (ITSC 2013).
Castignani, G., Frank, R., & Engel, T. (2013b, 7-10 Oct. 2013). An evaluation study of driver
profiling fuzzy algorithms using smartphones. Paper presented at the 2013 21st IEEE
International Conference on Network Protocols (ICNP).
Chuang, C. F., Yang, C. H., & Lin, Y. H. (2015, 6-8 June 2015). HMM-based driving behavior
recognition for in-car control service. Paper presented at the 2015 IEEE International
Conference on Consumer Electronics - Taiwan.
Craye, C., Rashwan, A., Kamel, M. S., & Karray, F. (2016). A multi-modal driver fatigue and
distraction assessment system. International Journal of Intelligent Transportation
Systems Research, 14(3), 173-194.
Daptardar, S., Lakshminarayanan, V., Reddy, S., Nair, S., Sahoo, S., & Sinha, P. (2015, 1-4 Nov.
2015). Hidden Markov Model based driving event detection and driver profiling from
mobile inertial sensor data. Paper presented at the 2015 IEEE SENSORS.
Das, D., Zhou, S., & Lee, J. D. (2012). Differentiating Alcohol-Induced Driving Behavior Using
Steering Wheel Signals. IEEE Transactions on Intelligent Transportation Systems,
13(3), 1355-1368. doi:10.1109/TITS.2012.2188891
Dehzangi, O., & Williams, C. (2015, 9-12 June 2015). Towards multi-modal wearable driver
monitoring: Impact of road condition on driver distraction. Paper presented at the
2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor
Networks (BSN).
Ding, J., Wang, J., Liu, C., Lu, M., & Li, K. (2014). Driver steering behavior model based on
lane-keeping characteristics analysis. Paper presented at the 17th International IEEE
Conference on Intelligent Transportation Systems (ITSC).
Doshi, A., & Trivedi, M. M. (2011, 5-7 Oct. 2011). Tactical driver behavior prediction and
intent inference: A review. Paper presented at the 2011 14th International IEEE
Conference on Intelligent Transportation Systems (ITSC).
Engelbrecht, J., Booysen, M. J., Rooyen, G. J. v., & Bruwer, F. J. (2015a, 7-10 Dec. 2015).
Performance Comparison of Dynamic Time Warping (DTW) and a Maximum
Likelihood (ML) Classifier in Measuring Driver Behavior with Smartphones. Paper
presented at the 2015 IEEE Symposium Series on Computational Intelligence.
Engelbrecht, J., Booysen, M. J., Rooyen, G. J. v., & Bruwer, F. J. (2015b). Survey of
smartphone-based sensing in vehicles for intelligent transportation system
applications. IET Intelligent Transport Systems, 9(10), 924-935. doi:10.1049/ietits.
2014.0248
Eren, H., Makinist, S., Akin, E., & Yilmaz, A. (2012, 3-7 June 2012). Estimating driving
behavior by a smartphone. Paper presented at the Intelligent Vehicles Symposium
(IV), 2012 IEEE.
Espinosa, F., Jiménez, J. A., Santiso, E., Gardel, A., Pérez, D., Casanova, J., & Santos, C. (2011).
Design and implementation of a portable electronic system for vehicle–driver–route
activity measurement. Measurement, 44(2), 326-337.
doi:http://dx.doi.org/10.1016/j.measurement.2010.10.006
Farah, H., & Koutsopoulos, H. N. (2014). Do cooperative systems make drivers’ car-following
behavior safer? Transportation Research Part C: Emerging Technologies, 41, 61-72.
doi:http://dx.doi.org/10.1016/j.trc.2014.01.015
Farah, H., Koutsopoulos, H. N., Saifuzzaman, M., Kölbl, R., Fuchs, S., & Bankosegger, D.
(2012a). Evaluation of the effect of cooperative infrastructure-to-vehicle systems on
driver behavior. Transportation Research Part C: Emerging Technologies, 21(1), 42-
56. doi:http://dx.doi.org/10.1016/j.trc.2011.08.006
Farah, H., Koutsopoulos, H. N., Saifuzzaman, M., Kölbl, R., Fuchs, S., & Bankosegger, D. J. T. r.
p. C. e. t. (2012b). Evaluation of the effect of cooperative infrastructure-to-vehicle
systems on driver behavior. 21(1), 42-56.
Fridman, L., Brown, D. E., Angell, W., Abdić, I., Reimer, B., & Noh, H. Y. (2016). Automated
synchronization of driving data using vibration and steering events. Pattern
Recognition Letters, 75, 9-15.
Ghandour, R., Cunha, F. H. R. d., Victorino, A., Charara, A., & Lechner, D. (2011, 20-23 June
2011). Risk indicators prediction based on the estimation of tire/road forces and the
maximum friction coefficient: Experimental validation. Paper presented at the
Control & Automation (MED), 2011 19th Mediterranean Conference on.
Goto, K., Tsutsumi, S., Wada, T., Doi, S., & Suzuki, K. (2012, 20-23 Aug. 2012). Investigation of
driving behavior in different dependence on Rear Obstacle Warning System. Paper
presented at the SICE Annual Conference (SICE), 2012 Proceedings of.
Gupta, A., Sharma, V., Ruparam, N. K., Jain, S., Alhammad, A., & Ripon, M. A. K. (2014, 24-27
Sept. 2014). Context-awareness based intelligent driver behavior detection:
Integrating Wireless Sensor networks and Vehicle ad hoc networks. Paper presented
at the 2014 International Conference on Advances in Computing, Communications
and Informatics (ICACCI).
Henze, D. I. R., Atabay, D. I. O., & Raksincharoensak, a. P. D. P. (2016). Monitoring Driver -
Vehicle Control in Automated Driving Applications. IFAC-PapersOnLine, 49(3), 285-
290. doi:http://dx.doi.org/10.1016/j.ifacol.2016.07.048
Higgs, B., & Abbas, M. (2014, 8-11 Oct. 2014). Experimental design for a psychophysiological
driving simulator study. Paper presented at the 17th International IEEE Conference
on Intelligent Transportation Systems (ITSC).
Jackson, S. L. (2014). Research methods: A modular approach: Cengage Learning.
Jagannath, M., & Balasubramanian, V. (2014). Assessment of early onset of driver fatigue
using multimodal fatigue measures in a static simulator. Applied Ergonomics, 45(4),
1140-1147. doi:http://dx.doi.org/10.1016/j.apergo.2014.02.001
Jamson, A. H., Merat, N., Carsten, O. M. J., & Lai, F. C. H. (2013). Behavioural changes in
drivers experiencing highly-automated vehicle control in varying traffic conditions.
Transportation Research Part C: Emerging Technologies, 30, 116-125.
doi:http://dx.doi.org/10.1016/j.trc.2013.02.008
Jasinski, M. G., & Baldo, F. A Method to Identify Aggressive Driver Behaviour Based on
Enriched GPS Data Analysis.
Jia, X., Hu, Z., & Guan, H. (2011, 21-25 June 2011). A new multi-sensor platform for adaptive
driving assistance system (ADAS). Paper presented at the Intelligent Control and
Automation (WCICA), 2011 9th World Congress on.
Jiang, L., Chen, X., & He, W. (2016, 14-19 March 2016). SafeCam: Analyzing intersectionrelated
driver behaviors using multi-sensor smartphones. Paper presented at the
2016 IEEE International Conference on Pervasive Computing and Communications
(PerCom).
Jieyun, D., Jianqiang, W., Changchun, L., Meng, L., & Keqiang, L. (2014, 8-11 Oct. 2014).
Driver steering behavior model based on lane-keeping characteristics analysis. Paper
presented at the 17th International IEEE Conference on Intelligent Transportation
Systems (ITSC).
Jiménez, F., Naranjo, J. E., Serradilla, F., Pérez, E., Hernández, M. J., Ruiz, T., . . . Díaz, A.
(2016). Intravehicular, short-and long-range communication information fusion for
providing safe speed warnings. Sensors, 16(1), 131.
Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and
prospects. Science, 349(6245), 255-260.
Jurecki, R. S., & Stańczyk, T. L. (2014). Driver reaction time to lateral entering pedestrian in a
simulated crash traffic situation. Transportation Research Part F: Traffic Psychology
and Behaviour, 27, Part A, 22-36. doi:http://dx.doi.org/10.1016/j.trf.2014.08.006
Jurecki, R. S., Stańczyk, T. L. J. T. r. p. F. t. p., & behaviour. (2014). Driver reaction time to
lateral entering pedestrian in a simulated crash traffic situation. 27, 22-36.
Kaber, D. B., Liang, Y., Zhang, Y., Rogers, M. L., & Gangakhedkar, S. (2012). Driver
performance effects of simultaneous visual and cognitive distraction and adaptation
behavior. Transportation Research Part F: Traffic Psychology and Behaviour, 15(5),
491-501. doi:http://dx.doi.org/10.1016/j.trf.2012.05.004
Kang, H. B. (2013, 2-8 Dec. 2013). Various Approaches for Driver and Driving Behavior
Monitoring: A Review. Paper presented at the 2013 IEEE International Conference on
Computer Vision Workshops.
Kaplan, S., Guvensan, M. A., Yavuz, A. G., & Karalurt, Y. (2015). Driver Behavior Analysis for
Safe Driving: A Survey. IEEE Transactions on Intelligent Transportation Systems,
16(6), 3017-3032. doi:10.1109/TITS.2015.2462084
Karimi, H. A., Zimmerman, B., Nawn, D., & Sutovsky, P. (2010, 9-12 Oct. 2010). Collaborative
navigation systems for collision avoidance. Paper presented at the Collaborative
Computing: Networking, Applications and Worksharing (CollaborateCom), 2010 6th
International Conference on.
Kim, S., Song, T.-J., Rouphail, N. M., Aghdashi, S., Amaro, A., & Gonçalves, G. (2016a).
Exploring the association of rear-end crash propensity and micro-scale driver
behavior. Safety Science, 89, 45-54. doi:http://dx.doi.org/10.1016/j.ssci.2016.05.016
Kim, S., Song, T.-J., Rouphail, N. M., Aghdashi, S., Amaro, A., & Gonçalves, G. J. S. s. (2016b).
Exploring the association of rear-end crash propensity and micro-scale driver
behavior. 89, 45-54.
Klimke, J., Themann, P., Klas, C., & Eckstein, L. (2014, 14-17 July 2014). Definition of an
embedded driver model for driving behavior prediction within the DESERVE platform.
Paper presented at the 2014 International Conference on Embedded Computer
Systems: Architectures, Modeling, and Simulation (SAMOS XIV).
Kondyli, A., Sisiopiku, V. P., Zhao, L., & Barmpoutis, A. (2015). Computer Assisted Analysis of
Drivers' Body Activity Using a Range Camera. IEEE Intelligent Transportation Systems
Magazine, 7(3), 18-28. doi:10.1109/MITS.2015.2439179
Lee, B.-L., Lee, B.-G., & Chung, W.-Y. (2016). Standalone Wearable Driver Drowsiness
Detection System in a Smartwatch. IEEE Sensors Journal, 16(13), 5444-5451.
Leonhardt, V., Pech, T., & Wanielik, G. (2016, 5-8 July 2016). Data fusion and assessment for
maneuver prediction including driving situation and driver behavior. Paper presented
at the 2016 19th International Conference on Information Fusion (FUSION).
Li, N., & Busso, C. (2015). Predicting Perceived Visual and Cognitive Distractions of Drivers
With Multimodal Features. IEEE Transactions on Intelligent Transportation Systems,
16(1), 51-65. doi:10.1109/TITS.2014.2324414
Li, N., & Busso, C. (2016). Detecting Drivers' Mirror-Checking Actions and
Its Application to Maneuver and Secondary Task Recognition. IEEE Transactions on
Intelligent Transportation Systems, 17(4), 980-992. doi:10.1109/TITS.2015.2493451
Li, N., & Busso, C. J. I. T. o. I. T. S. (2014). Predicting perceived visual and cognitive
distractions of drivers with multimodal features. 16(1), 51-65.
Markelic, I., Kjaer-Nielsen, A., Pauwels, K., Jensen, L. B. W., Chumerin, N., Vidugiriene, A., . . .
Worgotter, F. (2011). The Driving School System: Learning Basic Driving Skills From a
Teacher in a Real Car. IEEE Transactions on Intelligent Transportation Systems, 12(4),1135-1146. doi:10.1109/TITS.2011.2157690
Martin, S., Tawari, A., & Trivedi, M. M. (2014). Toward Privacy-Protecting Safety Systems for
Naturalistic Driving Videos. IEEE Transactions on Intelligent Transportation Systems,
15(4), 1811-1822. doi:10.1109/TITS.2014.2308543
Meseguer, J. E., Calafate, C. T., Cano, J. C., & Manzoni, P. (2013, 7-10 July 2013).
DrivingStyles: A smartphone application to assess driver behavior. Paper presented
at the 2013 IEEE Symposium on Computers and Communications (ISCC).
Meseguer, J. E., Calafate, C. T., Cano, J. C., & Manzoni, P. (2015, 9-12 Jan. 2015). Assessing
the impact of driving behavior on instantaneous fuel consumption. Paper presented
at the 2015 12th Annual IEEE Consumer Communications and Networking
Conference (CCNC).
Mihály, A., & Gáspár, P. (2016). Simulator based driver categorization and linear model
identification*. IFAC-PapersOnLine, 49(3), 255-260.
doi:http://dx.doi.org/10.1016/j.ifacol.2016.07.043
Murphy-Chutorian, E., & Trivedi, M. M. (2010). Head Pose Estimation and Augmented
Reality Tracking: An Integrated System and Evaluation for Monitoring Driver
Awareness. IEEE Transactions on Intelligent Transportation Systems, 11(2), 300-311.
doi:10.1109/TITS.2010.2044241
Musicant, O., Bar-Gera, H., & Schechtman, E. (2010). Electronic records of undesirable
driving events. Transportation Research Part F: Traffic Psychology and Behaviour,
13(2), 71-79. doi:http://dx.doi.org/10.1016/j.trf.2009.11.001
Musicant, O., Bar-Gera, H., Schechtman, E. J. T. r. p. F. t. p., & behaviour. (2010). Electronic
records of undesirable driving events. 13(2), 71-79.
Nadai, S. D., Benza, M., Incà, M. D., Parodi, F., & Sacile, R. (2015, 28-30 Sept. 2015). A system
of systems approach to evaluate at-risk human behaviour in the transport by road.
Paper presented at the 2015 IEEE International Symposium on Systems Engineering
(ISSE).
Ohn-Bar, E., Tawari, A., Martin, S., & Trivedi, M. M. (2014, 8-11 June 2014). Predicting driver
maneuvers by learning holistic features. Paper presented at the 2014 IEEE Intelligent
Vehicles Symposium Proceedings.
Ortiz, M. G., Kummert, F., Schm, J., x00Fc, & dderich. (2012, 16-19 Sept. 2012). Prediction of
driver behavior on a limited sensory setting. Paper presented at the 2012 15th
International IEEE Conference on Intelligent Transportation Systems.
Ortiz, M. G., Kummert, F., & Schmüdderich, J. (2012). Prediction of driver behavior on a
limited sensory setting. Paper presented at the 2012 15th International IEEE
Conference on Intelligent Transportation Systems.
Pech, T., Lindner, P., & Wanielik, G. (2014, 8-11 Oct. 2014). Head tracking based glance area
estimation for driver behaviour modelling during lane change execution. Paper
presented at the 17th International IEEE Conference on Intelligent Transportation
Systems (ITSC).
Philipsen, M. P., Jensen, M. B., Satzoda, R. K., Trivedi, M. M., M⊘gelmose, A., & Moeslund,
T. B. (2015, June 28 2015-July 1 2015). Day and night-time drive analysis using stereo
vision for naturalistic driving studies. Paper presented at the 2015 IEEE Intelligent
Vehicles Symposium (IV).
Philipsen, M. P., Jensen, M. B., Satzoda, R. K., Trivedi, M. M., Møgelmose, A., & Moeslund, T.
B. (2015). Day and night-time drive analysis using stereo vision for naturalistic
driving studies. Paper presented at the 2015 IEEE Intelligent Vehicles Symposium
(IV).
Piotr, B., Turek, W., Byrski, A., & Cetnarowicz, K. (2015, 15-18 Sept. 2015). Towards Credible
Driver Behavior Modeling. Paper presented at the 2015 IEEE 18th International
Conference on Intelligent Transportation Systems.
Rakotonirainy, A., Schroeter, R., & Soro, A. (2014). Three social car visions to improve driver
behaviour. Pervasive and Mobile Computing, 14, 147-160.
doi:http://dx.doi.org/10.1016/j.pmcj.2014.06.004
Ramyar, S., Sefidmazgi, M. G., Amsalu, S., Anzagira, A., Homaifar, A., Karimoddini, A., & Kurt,
A. (2015, 15-18 Sept. 2015). Modeling Driver Behavior at Intersections with Takagi-
Sugeno Fuzzy Models. Paper presented at the 2015 IEEE 18th International
Conference on Intelligent Transportation Systems.
Rodrigues, J. G., Kaiseler, M., Aguiar, A., Cunha, J. P. S., & Barros, J. J. I. T. o. I. T. S. (2015). A
mobile sensing approach to stress detection and memory activation for public bus
drivers. 16(6), 3294-3303.
Rodrigues, J. G., Vieira, F., Vinhoza, T. T., Barros, J., & Cunha, J. P. S. (2010). A non-intrusive
multi-sensor system for characterizing driver behavior. Paper presented at the 13th
International IEEE Conference on Intelligent Transportation Systems.
Rodrigues, J. G. P., Aguiar, A., Vieira, F., Barros, J., & Cunha, J. P. S. (2011, 5-7 Oct. 2011). A
mobile sensing architecture for massive urban scanning. Paper presented at the
2011 14th International IEEE Conference on Intelligent Transportation Systems
(ITSC).
Rodrigues, J. G. P., Kaiseler, M., Aguiar, A., Cunha, J. P. S., & Barros, J. (2015). A Mobile
Sensing Approach to Stress Detection and Memory Activation for Public Bus Drivers.
IEEE Transactions on Intelligent Transportation Systems, 16(6), 3294-3303.
doi:10.1109/TITS.2015.2445314
Rodrigues, J. G. P., Vieira, F., Vinhoza, T. T. V., Barros, J., & Cunha, J. P. S. (2010, 19-22 Sept.
2010). A non-intrusive multi-sensor system for characterizing driver behavior. Paper
presented at the Intelligent Transportation Systems (ITSC), 2010 13th International
IEEE Conference on.
Russo, J.-N., Sproesser, T., Drouhin, F., & Basset, M. (2016). Risks Level Assessments for
Automotive Application. IFAC-PapersOnLine, 49(15), 163-168.
doi:http://dx.doi.org/10.1016/j.ifacol.2016.07.726
Sathyanarayana, A., Sadjadi, S. O., & Hansen, J. H. (2012). Leveraging sensor information
from portable devices towards automatic driving maneuver recognition. Paper
presented at the 2012 15th International IEEE Conference on Intelligent
Transportation Systems.
Sathyanarayana, A., Sadjadi, S. O., & Hansen, J. H. L. (2012, 16-19 Sept. 2012). Leveraging
sensor information from portable devices towards automatic driving maneuver
recognition. Paper presented at the 2012 15th International IEEE Conference on
Intelligent Transportation Systems.
Sato, T., & Akamatsu, M. (2007). Influence of traffic conditions on driver behavior before
making a right turn at an intersection: Analysis of driver behavior based on
measured data on an actual road. Transportation Research Part F: Traffic Psychology
and Behaviour, 10(5), 397-413. doi:http://dx.doi.org/10.1016/j.trf.2007.03.001
Sato, T., & Akamatsu, M. (2011, 13-18 Sept. 2011). Analysis of drivers control methods of
task demands based on behavioral data in actual road environments. Paper
presented at the SICE Annual Conference (SICE), 2011 Proceedings of.
Sato, T., & Akamatsu, M. (2011). Analysis of drivers control methods of task demands based
on behavioral data in actual road environments. Paper presented at the SICE Annual
Conference 2011.
Sato, T., & Akamatsu, M. (2012). Understanding driver car-following behavior using a fuzzy
logic car-following model. Paper presented at the Fuzzy Logic-Algorithms,
Techniques and Implementations.
Sato, T., Akamatsu, M. J. T. R. P. F. T. P., & Behaviour. (2007). Influence of traffic conditions
on driver behavior before making a right turn at an intersection: Analysis of driver
behavior based on measured data on an actual road. 10(5), 397-413.
Satzoda, R. K., & Trivedi, M. M. (2015). Drive Analysis Using Vehicle Dynamics and Vision-
Based Lane Semantics. IEEE Transactions on Intelligent Transportation Systems,
16(1), 9-18. doi:10.1109/TITS.2014.2331259
Shi, J., Wei, H., & Shi, S. (2012, 16-19 Sept. 2012). Driving motion capture based driver
behavior analysis. Paper presented at the 2012 15th International IEEE Conference
on Intelligent Transportation Systems.
Shier, R. (2004). Statistics: 1.1 Paired t-tests. Mathematics Learning Support Centre, 12.
Suzuki, S., Raksincharoensak, P., Shimizu, I., Nagai, M., & Adomat, R. (2010). Sensor fusionbased
pedestrian collision warning system with crosswalk detection. Paper
presented at the 2010 IEEE Intelligent Vehicles Symposium.
Suzuki, S., Raksincharoensak, P., Shimizu, I., Nagai, M., & Adomat, R. (2010, 21-24 June
2010). Sensor fusion-based pedestrian collision warning system with crosswalk
detection. Paper presented at the Intelligent Vehicles Symposium (IV), 2010 IEEE.
Tada, M., Noma, H., Utsumi, A., Segawa, M., Okada, M., & Renge, K. (2014). Elderly driver
retraining using automatic evaluation system of safe driving skill. IET Intelligent
Transport Systems, 8(3), 266-272. doi:10.1049/iet-its.2013.0027
Takeda, K., Miyajima, C., Suzuki, T., Angkititrakul, P., Kurumida, K., Kuroyanagi, Y., . . .
Komada, Y. (2012). Self-Coaching System Based on Recorded Driving Data: Learning
From One's Experiences. IEEE Transactions on Intelligent Transportation Systems,
13(4), 1821-1831. doi:10.1109/TITS.2012.2205917
Takeda, K., Miyajima, C., Suzuki, T., Angkititrakul, P., Kurumida, K., Kuroyanagi, Y., . . .
Oikawa, M. J. I. T. o. I. T. S. (2012). Self-coaching system based on recorded driving
data: Learning from one's experiences. 13(4), 1821-1831.
Takeda, K., Miyajima, C., Suzuki, T., Kurumida, K., Kuroyanagi, Y., Ishikawa, H., . . . Oikawa, M.
(2011). Improving driving behavior by allowing drivers to browse their own recorded
driving data. Paper presented at the 2011 14th International IEEE Conference on
Intelligent Transportation Systems (ITSC).
Takeda, K., Miyajima, C., Suzuki, T., Kurumida, K., Kuroyanagi, Y., Ishikawa, H., . . . Komada, Y.
(2011, 5-7 Oct. 2011). Improving driving behavior by allowing drivers to browse their
own recorded driving data. Paper presented at the 2011 14th International IEEE
Conference on Intelligent Transportation Systems (ITSC).
Terada, R., Okuda, H., Suzuki, T., Isaji, K., & Tsuru, N. (2010, 19-22 Sept. 2010). Multi-scale
driving behavior modeling using hierarchical PWARX model. Paper presented at the
Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference
on.
Terada, R., Okuda, H., Suzuki, T., Isaji, K., & Tsuru, N. (2010). Multi-scale driving behavior
modeling using hierarchical PWARX model. Paper presented at the 13th
International IEEE Conference on Intelligent Transportation Systems.
Utsugi, A., & Akamatsu, M. (2007). LANE-CHANGE BEHAVIOR MODELING OF LONG-HAUL
TRUCK DRIVER USING DRIVING DATABASE. IFAC Proceedings Volumes, 40(16), 425-
430. doi:http://dx.doi.org/10.3182/20070904-3-KR-2922.00075
Utsugi, A., & Akamatsu, M. J. I. P. V. (2007). Lane-change behavior modeling of long-haul
truck driver using driving database. 40(16), 425-430.
Várhelyi, A., Kaufmann, C., & Persson, A. (2015). User-related assessment of a Driver
Assistance System for Continuous Support – A field trial. Transportation Research
Part F: Traffic Psychology and Behaviour, 30, 128-144.
doi:http://dx.doi.org/10.1016/j.trf.2015.02.008
Várhelyi, A., Kaufmann, C., Persson, A. J. T. r. p. F. t. p., & behaviour. (2015). User-related
assessment of a Driver Assistance System for Continuous Support–A field trial. 30,
128-144.
Wallace, B., Goubran, R., Knoefel, F., Marshall, S., Porter, M., & Smith, A. (2016, June 27
2016-July 2 2016). Driver Unique Acceleration Behaviours and Stability over Two
Years. Paper presented at the 2016 IEEE International Congress on Big Data (BigData
Congress).
Wang, H., Tian, X., Wu, S., & Hu, Z. (2016). Growth disparity of motherless children might be
attributed to a deficient intake of high-quality nutrients. Nutrition Research, 36(12),
1370-1378.
Wang, J., Xiong, C., Lu, M., & Li, K. (2015). Longitudinal driving behaviour on different
roadway categories: an instrumented-vehicle experiment, data collection and case
study in China. IET Intelligent Transport Systems, 9(5), 555-563. doi:10.1049/ietits.
2014.0157
Wang, J., Yu, C., Li, S. E., & Wang, L. (2016). A Forward Collision Warning Algorithm With
Adaptation to Driver Behaviors. IEEE Transactions on Intelligent Transportation
Systems, 17(4), 1157-1167. doi:10.1109/TITS.2015.2499838
Wang, J., Yu, C., Li, S. E., & Wang, L. J. I. T. o. I. T. S. (2015). A forward collision warning
algorithm with adaptation to driver behaviors. 17(4), 1157-1167.
Wang, J., Zhang, L., Zhang, D., & Li, K. (2013). An Adaptive Longitudinal Driving Assistance
System Based on Driver Characteristics. IEEE Transactions on Intelligent
Transportation Systems, 14(1), 1-12. doi:10.1109/TITS.2012.2205143
Wei, L., Mukhopadhyay, S. C., Jidin, R., & Chen, C. P. (2013, 3-5 Dec. 2013). Multi-source
information fusion for drowsy driving detection based on wireless sensor networks.
Paper presented at the 2013 Seventh International Conference on Sensing
Technology (ICST).
Wu, B.-F., Chen, Y.-H., & Yeh, C.-H. J. I. I. T. S. (2013). Driving behaviour-based event data
recorder. 8(4), 361-367.
Wu, B. F., Chen, Y. H., & Yeh, C. H. (2014). Driving behaviour-based event data recorder. IET
Intelligent Transport Systems, 8(4), 361-367. doi:10.1049/iet-its.2013.0009
Wu, C., Peng, L., Huang, Z., Zhong, M., & Chu, D. (2014). A method of vehicle motion
prediction and collision risk assessment with a simulated vehicular cyber physical
system. Transportation Research Part C: Emerging Technologies, 47, Part 2, 179-191.
doi:http://dx.doi.org/10.1016/j.trc.2014.07.002
Yang, J., Chang, T. N., & Hou, E. (2010, 7-10 Nov. 2010). Driver distraction detection for
vehicular monitoring. Paper presented at the IECON 2010 - 36th Annual Conference
on IEEE Industrial Electronics Society.
Yang, J., Chang, T. N., Hou, E., & Ansari, N. (2010, 21-24 Aug. 2010). Longitude force
estimation for bandwidth conservative communication and vehicular monitoring.
Paper presented at the 2010 IEEE International Conference on Automation Science
and Engineering.
Zhang, A. (2006). Advanced analysis of gene expression microarray data (Vol. 1): World
Scientific Publishing Company.
Zhou, Y., Wang, G., Xu, G., & Fu, G. (2014, 5-10 Dec. 2014). Safety driving assistance system
design in intelligent vehicles. Paper presented at the 2014 IEEE International
Conference on Robotics and Biomimetics (ROBIO 2014).