Driving Style Analysis Using Data Mining Techniques
Keywords:driving style, driving parameters, real time vehicle tracking, data mining
AbstractThis paper investigates the modeling of the personal driving style of various vehicle drivers based on several driving parameters. The purpose of such an endeavor is to classify the drivers according to their risk-proneness within the larger context of increasing traffic safety, which is a major concern worldwide. This information is valuable especially for those involved in fleet management and it can be used to improve and to make safer the driving style of various individuals who serve within that fleet. Equally important, such information could help any driver to see the danger within his or her driving style. Cluster and principal component analyses from exploratory statistics have been used to identify and explain drivers grouping according to their driving behavior. The driving parameters (behavioral indices) are collected from urban traffic by an in-house developed GPS-based device and sent to a data server for analysis.
Rigolli, M., Brady, M., Towards a Behavioural Traffic Monitoring System, International Conference on Autonomous Agents, Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 449-454, 2005. http://dx.doi.org/10.1145/1082473.1082542
Rygula, A., Driving Style Identification Method Based on Speed Graph Analysis, International Conference on Biometrics and Kansei Engineering, pp. 76-79, 2009. http://dx.doi.org/10.1109/icbake.2009.51
Vangi, D., Virga, A., Evaluation of Energy-Saving Driving Styles for Bus Drivers, Proc. Instn Mech. Engrs, Vol. 217 Part D: J. Automobile Engineering, pp. 299-305, 2003.
Ishibashi, M., Okuwa, M., Doi, S., Akamatsu, M., Indices for Characterizing Driving Style and their Relevance to Car Following Behavior, SICE Annual Conf., pp. 1132-1137, 2007. http://dx.doi.org/10.1109/SICE.2007.4421155
O. Taubman-Ben-Ari, M. Mikulincer and O. Gillath, The multidimensional driving style inventory-scale construct and validation, Accident Analysis and Prevention, Vol. 36, pp. 323- 332, 2004. http://dx.doi.org/10.1016/S0001-4575(03)00010-1
D. J. French, R. J. West, J. Elander and J. M. Wilding, Decision-making style, driving style, and self-reported involvement in road traffic accidents, Ergonomics, Vol. 36, No. 6, pp. 627-664, 1993. http://dx.doi.org/10.1080/00140139308967925
Bonsall, P., Liu, R., Young, W., Modelling Safety-related Driving Behaviour-Impact of Parameter Values, Transportation Research Part A 39, pp. 425-444, 2005. http://dx.doi.org/10.1016/j.tra.2005.02.002
Mierlo, J., Maggetto, G., Burgwal, E., Gense, E., Driving Style and Traffic Measures-Influence on Vehicle Emissions and Fuel Consumption, Proc. Instn Mech. Engrs Vol. 218 Part D: J. Automobile Engineering, pp. 43-50, 2004.
Cherrett, T., Pitfield, D., Extracting Driving Characteristics from Heavy Goods Vehicle Tachograph Charts, Transportation Planning and Technology, Vol. 24, No. 4, pp. 349-363, 2001. http://dx.doi.org/10.1080/03081060108717673
M. Vladoiu, Z. Constantinescu, Toward Location-based Services using GPS-based Devices, Proceedings of ICWN 2008 - the 2008 International Conference of Wireless Networks, a Conference of World Congress on Engineering 2008 (WCE 2008), July, London, UK, Vol. I, pp. 799-804, 2008.
Ward, J.H., Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, Vol. 58, pp. 236-244, 1963. http://dx.doi.org/10.1080/01621459.1963.10500845
Anderberg, M. R., Cluster Analysis for Applications. Academic Press, New York, 1973.
Sokal, P.H.A., Sneath, R.R., NUMERICAL TAXONOMY: The Principles and Practice of Numerical Classification. Freeman, San Francisco, 1973
MacQueen, J.B, Some Methods for classification and Analysis of Multivariate Observations, Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, Berkeley, University of California Press, Vol. 1, pp. 281-297, 1967.
Jolliffe, I.T., Principal Component Analysis, Springer, 2002.
Dauxois, J., Pousse, A. and Romain, Y., Asymptotic theory for the principal component analysis of a vector random function: some applications to statistical inference. Journal of Multivariate Analysis, Vol. 12, pp. 136-154, 1982. http://dx.doi.org/10.1016/0047-259X(82)90088-4
SAS Institute Inc., SAS 9.1.3 Help and Documentation. Cary, NC: SAS Institute Inc., 2000- 2004.
Hattori, Hiromitsu, Nakajima, Yuu and Ishida, Toru, Agent Modeling with Individual Human Behaviors, Proc. of 8th Int'l. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2009), pp. 1369-1470, 2009.
Plochl, Manfred and Edelmann, Johannes, Driver models in automobile dynamics application, Vehicle System Dynamics, Vol. 45, No. 7, pp. 699-741, 2007. http://dx.doi.org/10.1080/00423110701432482
Augustynowicz, A., Preliminary Classification of Driving Style with Objective Rank method, International Journal of Automotive Technology, Vol. 10, No. 5, pp. 607-610, 2009. http://dx.doi.org/10.1007/s12239-009-0071-8
ONLINE OPEN ACCES: Acces to full text of each article and each issue are allowed for free in respect of Attribution-NonCommercial 4.0 International (CC BY-NC 4.0.
You are free to:
-Share: copy and redistribute the material in any medium or format;
-Adapt: remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.
DISCLAIMER: The author(s) of each article appearing in International Journal of Computers Communications & Control is/are solely responsible for the content thereof; the publication of an article shall not constitute or be deemed to constitute any representation by the Editors or Agora University Press that the data presented therein are original, correct or sufficient to support the conclusions reached or that the experiment design or methodology is adequate.