Selecting Qualitative Features of Driver Behavior via Pareto Analysis

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Author(s)

Kawtar Zinebi 1,* Nissrine Souissi 1 Kawtar Tikito 2

1. Mohammed V University in Rabat. EMI - SIWEB Team. Rabat, Morocco

2. École Nationale Supérieure des Mines de Rabat. Computer Science Department. Rabat, Morocco

* Corresponding author.

DOI: https://doi.org/10.5815/ijmecs.2018.10.01

Received: 21 Jul. 2018 / Revised: 23 Aug. 2018 / Accepted: 5 Sep. 2018 / Published: 8 Oct. 2018

Index Terms

Driver behavior features, behavioral questionnaires, Pareto & ABC analysis, DBQ, DAX, MDSI, DSQ, DBI

Abstract

Driver behavior is the main cause of road crashes; it is the key element that insures a better understanding and improves predictions of car accidents. The main goal of our study is to determine the set of driver behavior features that are the most encountered in literature; we were based on behavioral questionnaires as a source for these features. We selected the questionnaires that are most cited in literature and therefore proved their efficiency through many studies they were employed in. Then we extracted the features considered in their items and classified them by rate of appearance according to the Pareto & ABC principle. In the second part of our study we collaborated with the National Committee for Circulation Accident Prevention (CNPAC) of the Ministry of Transportation of Morocco in order to compare the findings we gathered from literature with the researches they administer. We prepared a questionnaire that contains the final set of features and we transmitted it to experts working in the road safety field to rate it according to their knowledge and experience. Data analysis showed significant differences in some features, which demonstrates the gap between theoretical results and field research.

Cite This Paper

Kawtar Zinebi, Nissrine Souissi, Kawtar Tikito, " Selecting Qualitative Features of Driver Behavior via Pareto Analysis", International Journal of Modern Education and Computer Science(IJMECS), Vol.10, No.10, pp. 1-10, 2018. DOI:10.5815/ijmecs.2018.10.01

Reference

[1]Wang, B., Hensher, D. A., & Ton, T. (2002). Safety in the road environment: a driver behavioural response perspective. Transportation, 29(3), 253-270. DOI: 10.1023/A:1015661008598.
[2]de Oña, J., de Oña, R., Eboli, L., Forciniti, C., & Mazzulla, G. (2014). How to identify the key features that affect driver perception of accident risk. A comparison between Italian and Spanish driver behavior., Accident Analysis & Prevention, 73, 225-235. DOI: 10.1016/j.aap.2014.09.020.
[3]Green, M. (2000). " How long does it take to stop?" Methodological analysis of driver perception-brake times. Transportation human features, 2(3), 195-216. DOI: 10.1207/STHF0203_1.
[4]Olson, P. L., Dewar, R., & Farber, E. (2010). Forensic aspects of driver perception and response.
[5]Bella, F. (2013). Driver perception of roadside configurations on two-lane rural roads: Effects on speed and lateral placement., Accident Analysis & Prevention, 50, 251-262. DOI: 10.1016/j.aap.2012.04.015.
[6]Guo, F., & Fang, Y. (2013). Individual driver risk assessment using naturalistic driving data. Accident Analysis & Prevention, 61, 3-9. DOI: 10.1016/j.aap.2012.06.014.
[7]Jonah, B. A. (1986). Accident risk and risk-taking behaviour among young drivers. Accident Analysis & Prevention, 18(4), 255-271. DOI: 10.1016/0001-4575(86)90041-2.
[8]J. P. F. &. D. P. (. Cestac, Young drivers’ sensation seeking, subjective norms, and perceived behavioral control and their roles in predicting speeding intention: How risk-taking motivations evolve with gender and driving experience, Safety science, 49(3), 424-432. DOI: 10.1016/j.ssci.2010.10.007.
[9]Reason, J., Manstead, A., Stradling, S., Baxter, J., & Campbell, K. (1990). Errors and violations on the roads: a real distinction?. Ergonomics, 33(10-11), 1315-1332. DOI: 10.1080/00140139008925335.
[10]Deffenbacher, J. L., Lynch, R. S., Oetting, E. R., & Swaim, R. C. (2002). The Driving Anger Expression Inventory: A measure of how people express their anger on the road., Behaviour research and therapy, 40(6), 717-737. DOI: 10.1016/S0005-7967(01)00063-8.
[11]Taubman-Ben-Ari, O., Mikulincer, M. and Gillath, O. (2004)a. The multidimensional driving style inventory—scale construct and validation. Accident Analysis & Prevention, 36(3), pp.323-332. DOI: 10.1016/S0001-4575(03)00010-1.
[12]Taubman-Ben-Ari, O., Mikulincer, M., & Iram, A. (2004)b. A multi-featureial framework for understanding reckless driving—appraisal indicators and perceived environmental determinants., Transportation Research Part F: Traffic Psychology and Behaviour, 7(6), 333-349. DOI: 10.1016/j.trf.2004.10.001.
[13]Wiesenthal, D. L., Hennessy, D., & Gibson, P. M. (2000). The Driving Vengeance Questionnaire (DVQ): The development of a scale to measure deviant drivers' attitudes. Violence and Victims, 15(2), 115.
[14]French, D. J., West, R. J., Elander, J., & Wilding, J. M. (1993). Decision-making style, driving style, and self-reported involvement in road traffic accidents. Ergonomics, 36(6), 627-644. DOI: 10.1080/00140139308967925
[15]Gulian, E., Matthews, G., Glendon, A. I., Davies, D. R., & Debney, L. M. (1989). Dimensions of driver stress. Ergonomics, 32(6), 585-602. DOI: 10.1080/00140138908966134.
[16]Deffenbacher, J. L., Oetting, E. R., & Lynch, R. S. (1994). Development of a driving anger scale. Psychological reports, 74(1), 83-91.
[17]Lucidi, F., Mallia, L., Lazuras, L., & Violani, C. (2014). Personality and attitudes as predictors of risky driving among older drivers. Accident Analysis & Prevention, 72, 318-324. DOI: 10.1016/j.aap.2014.07.022.
[18]Mallia, L., Lazuras, L., Violani, C., & Lucidi, F. (2015). Crash risk and aberrant driving behaviors among bus drivers: the role of personality and attitudes towards traffic safety. Accident Analysis & Prevention, 79, 145-151., DOI: 10.1016/j.aap.2015.03.034.
[19]Rowe, R., Roman, G. D., McKenna, F. P., Barker, E., & Poulter, D. (2015). Measuring errors and violations on the road: A bifeature modeling approach to the Driver Behavior Questionnaire.,Accident Analysis & Prevention, 74, 118-125. DOI: 10.1016/j.aap.2014.10.012.
[20]Wickens, C. M., Mann, R. E., Stoduto, G., Butters, J. E., Ialomiteanu, A., & Smart, R. G. (2012). Does gender moderate the relationship between driver aggression and its risk features?, Accident Analysis & Prevention, 45, 10-18. DOI: 10.1016/j.aap.2011.11.013.
[21]Zhang, T., Chan, A. H., & Zhang, W. (2015). Dimensions of driving anger and their relationships with aberrant driving. Accident Analysis & Prevention, 81, 124-133. DOI: 10.1016/j.aap.2015.05.005.
[22]Feature, R., Mahalel, D., & Yair, G. (2008). Inter-group differences in road-traffic crash involvement. Accident Analysis & Prevention, 40(6), 2000-2007. DOI: 10.1016/j.aap.2008.08.022.
[23]Poó, F.M., Taubman - Ben-Ari, O., Ledesma, R.D., Díaz-Lázaro, C.M., 2013. Reliability and validity of a Spanish-language version of the multidimensional driving style inventory., Transp. Res. Part F: Traffic Psychol. Behav. 17, 75–87. DOI: 10.1016/j.trf.2012.10.003.
[24]Holman, A.C., Havârneanu, C.E., 2015. The Romanian version of the multidimensional driving style inventory: psychometric properties and cultural specificities, Transp. Res. Part F: Traffic Psychol. Behav. 35, 45–59. DOI: 10.1016/j.trf.2015.10.001.