Research Framework for Studying Driver Distraction on Polish City Highways

• Autorzy: Kelwyn A. D'Souza , Maheshwari , Zbigniew Banaszak
• Języki publikacji: EN

Abstrakty

EN

Analysis of accidents has found driver distraction to be a significant cause of accidents on the highways [1]. Therefore, studying the causes of driver distraction that impact its risk level is needed for a better understanding of accident occurrences. There is general scarcity of research in this field with no established research framework to study driver distractions. This paper proposes a modular research framework for conducting a driver distraction study on Polish city highways. The framework contains guidelines for distraction studies for wide range of cost and time intervals such as a quick, low cost study like analysis of existing accident databases maintained by the cities to relatively higher cost, longer duration study involving field data collection, statistical modeling, and analysis. A city may choose one or more modules to suit their study requirements including statistical and simulation tools to assess and validate the historical or empirical result. The framework is based on the careful modifications and revisions of an earlier transit bus driver study conducted in the Commonwealth of Virginia, U.S.A., and results from this research are presented for purposes of illustration(original abstract)

Słowa kluczowe

EN

Road accidents; Validation; Driver training

PL

Wypadki drogowe; Walidacja; Szkolenie kierowców

• Czasopismo: Management and Production Engineering Review
• Rocznik: 2013
• Tom: 4
• Numer: nr 2
• Strony: 12--24

Twórcy

autor

Kelwyn A. D'Souza

• Hampton University, Hampton (VA), U.S.A.

autor

Maheshwari

• Hampton University, Hampton (VA), U.S.A.

autor

Zbigniew Banaszak

• Warsaw University of Technology, Poland

Bibliografia

• McEvoy S.P., Stevenson M.R., Woodward M., The Prevalence of, and Factors Associated with, Serous Crashes Involving a Distracted Activity, Accident Analysis and Prevention, 39, 475-482, 2007.
• D'Souza K.A.,Maheshwari S.K., "Improving performance of public transit buses by minimizing driver distraction", Proceedings of the Urban Transport 2012 Conference, A Coruˇna, Spain, May 13-16, 2012. [Eds.] J.W.S. Longhurst and C.A. Brebbia, Wessex Institute of Technology Press, Southhampton, U.K., 281-293, 2012a.
• D'Souza K.A., Maheshwari S.K., "An analysis of transit bus driver distraction using multinomial logistic regression models", On-line Proceedings of the Journal of the Transportation Research Forum, Tampa, FL, March 15-17, www.trforum.org/forum/2012, 2012b.
• D'Souza K.A., Maheshwari S.K., Multivariate Statistical Analysis of Public Transit Bus Driver Distraction, ournal of Public Transportation: Special Edition: Rural and Intercity Bus, 15, 3, 1-23, 2012c.
• Morfoulaki M., Tyrinopoulos Y., Aifadopoulou G., Estimation of Satisfied Customers in Public Transport Systems: A New Methodological Approach, Journal of the Transportation Research Forum, 46, (1), 63-72, Spring 2007.
• Salmon P.M., Young K.L., Regan M.A., Distraction 'On the Buses': A Novel Framework of Ergonomics Methods for Identifying Sources and Effects of Bus Driver Distraction, Applied Ergonomics, 42, 602- 610, 2011.
• U.S. Department of Transportation, "An Examination of Driver Distraction as Recorded in NHSTA Databases", DOT HS 811 216, September 2009.
• ECORYS, Study on Strategic Evaluation on Transport Investment Priorities under Structural and Cohesion funds for the Programming Period 2007- 2013, No 2005.CE.16.0.AT.014. Country Report Poland Final, Client: European Commission, DGREGIO. ECORYS Nederland BV, Rotterdam, The Netherlands, pp. 14, September 2006.
• AAA Foundation for Traffic Safety, "Distraction in Everyday Driving", University of North Carolina at Chapel Hill, Highway Safety Research Center, June, 2003. www.aaafoundation.org.
• Salmon P.M., Young K.L., Regan M.A., "Bus Driver Distraction Stage 1: Analysis of Risk for State Transit Authority New South Wales Bus Drivers", Final Report, Monash University Accident Research Center, Victoria, Australia, June 2006.
• Young K.L., Regan M.A., Lee J.D., Factors Moderating the Impact of Distraction on Driving Performance and Safety, Driver Distraction: Theory, Effects, and Mitigation, Edited by M.A. Regan, J.D. Lee, and K.L. Young, CRC Press, Taylor and Francis Group, 335--351, 2009.
• Yan X., Radwan E., Abdel-Aty M., Characteristics of Rear-End Accidents at Signalized Intersections Using Multiple Logistic Regression Model, Accident Analysis and Prevention, 37, 983-995, 2005.
• Oxley J., Charlton J., Fildes B., Koppel S., Scully J., Congiu M., Moore K., "Crash Risk of Older Female Drivers", Report No. 245, Monash University Accident Research Center, Victoria, Australia, November 2005.
• Blower D., Green P.E., Matteson A., "Bus Operator Types and Driver Factors in Fatal Bus Crashes: Results from the Buses Involved in Fatal Accidents Survey", U.S. DOT Federal Motor Carrier Safety Administration, University of Michigan Transportation Research Institute, Ann Arbor Michigan, June 2008.
• Washington S.P., Karlaftis M.G., Mannering F.L., Logistic Regression, Discrete Outcome Models and Ordered Probability Models, Statistical and Econometric Methods for Transportation Data Analysis, Chapman & Hall/CRC, 303-359, 2011.
• Yan X., Radwan E., Mannila K.K., Analysis of Truck-Involved Rear-End Crashes Using Multinomial Logistic Regression, Advances in Transportation Studies an International Journal, Section A, 17, 39- 52, 2009.
• Gkritza K., Niemeier D., Mannering F., Airport Security Screening and Changing Passenger Satisfaction: An Exploratory Assessment, Journal of Air Transport Management, 12, 213-219, 2006.
• Petrucci C.J., A Primer for Social Worker Researchers on How to Conduct a Multinomial Logistic Regression, Journal of Social Service Research, 35 (2), 193-205, 2009.
• Carlson W.L,. Application of Simulation to Assessment of Component Changes on rear End Highway Accidents, Transportation Science, 6 (1), 1-14, February 1972.
• Salvucci D.D., Chavez A.K., Lee F.J., "Modeling Effects of Age in Complex Tasks: A Case Study in Driving", 26th Annual Conference of the Cognitive Science Society, 2004.
• Wong Jinn-Tsai, Shah-Hsuan Huang, Modeling Driver Mental Workload for Accident Caisation and Prevention, Journal of the Eastern Asia Society for Transportation Studies, 8, 1890-1905, 2009.
• Trick L.M., Enns J.T., Mills J., Vavrik J., Paying Attention Behind the wheel: a framework for studying the role of attention in Driving, Theoretical Issues
• Orcher L.T., Conducting a Survey: Techniques for a Term Project, Pyrczak Publishing, P. O. Box 250430, Glendale, CA 91225, pp. 46-47, 2007.
• Agresti A., An Introduction to Categorical Data Analysis. John Wiley and Sons, Inc., New York, NY, 2nd Ed., 2007.
• Cross G.W., Hanna H., Garrison T., McKee C., "Distracted Driving in Mississippi: A Statewide Survey and Summary of Related Research and Policies", Final Report by Family and Children Research Unit, MSU, The Center for Mississippi Health Policy, September 2010.
• Smith D.I., Chang J., Cohen D., Foley J., Glassco R., "A Simulation Approach for Evaluating the Relative Safety Impact of Driver Distraction During Secondary Tasks", 12th World Congress on ITS, San Francisco, 6-10 November, 2005, Paper 4340.
• Moutinho L., Hutcheson G., "Multinomial Logistic Regression", The SAGE Dictionary of Quantitative Management Research, SAGE Publications Ltd., pp. 208-212, 2011.
• Field A., Logistic Regression, Discovering Statistics Using SPSS, SAGE Publications Ltd., 3rd Edition, 264-315, 2009.
• SPSS 17.0. SPSS Inc., Chicago, IL 60606-6412, 2008.
• Young K.L., Regan M.A., Hammer M., Driver Distraction: A Review of the Literature, Monash University Accident Research Centre, Victoria, Australia, Report No. 206, Holden Ltd. November 2003n Ergonomics Science, 5 (5), 385-424, 2004i-

Identyfikatory

DOI

10.2478/mper-2013-0012