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Type :thesis
Subject :Q Science
Main Author :Alaa Zaidan, Ruqayah
Title :Classification of driver behaviours using machine learning
Place of Production :Tanjong Malim
Publisher :Fakulti Seni, Komputeran dan Industri Kreatif
Year of Publication :2021
Corporate Name :Universiti Pendidikan Sultan Idris
PDF Guest :Click to view PDF file
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Abstract : Universiti Pendidikan Sultan Idris
According to the Malaysian Institute of Road Safety Research (MIROS), over 500,000 car accidents occurred in 2016, making cars an unsafe means of transportation. This research aimed to collect driver behaviour-related data for Malaysian drivers to provide useful insights for Malaysian driving profile and to modulate machine learning for classification tasks. Twenty-one drivers (11 male and 10 female) were studied and compared for their driving style in Lebuhraya Behrang Stesen-tg malim (11 km per driver). Drivers were asked to drive naturally while considering their safety. Two analysis techniques were utilized (i.e. Statistical and Machine Learning-Based). Different conclusions were drawn from each analysis. The number of driving events for each driver was calculated (i.e. aggressive, normal and safe) and statistical tests (i.e. Mean, Standard Deviation, Correlation analysis, Oneway ANOVA and T-test) presented significant differences between each driver from the same gender versus their peers from the opposite gender. The statistics were presented per driver, his/her group and a comparison with their peers. For a driver to be considered as aggressive or normal, a challenge was presented because no identification measure existed (i.e. threshold for driving event number to be considered aggressive or normal). However, each driving event was identified based on literature. Finally, it was determined that classifying drivers was possible through their gender but not based on their aggressiveness level. One R Machine learning classifier presented good accuracy at 95.24 % in comparison with j48DecisionTree, Naive Bayes, One R, and SMO-SVM. The implications of the findings of this study suggest male and female drivers tend to drive aggressively. A reason for such mortality can be because of the cadence of front-end car accidents, which is a clear outcome of aggressive driving behaviour (i.e. speeding, braking, etc.). Identifying such behaviour using ML will save lives domestically and internationally

References

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).

 


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