American Journal of Vehicle Design
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American Journal of Vehicle Design. 2013, 1(1), 16-20
DOI: 10.12691/ajvd-1-1-3
Open AccessArticle

Simplification of Road Transport Infrastructure Layout for Better Self-Explanation

Adam TOROK1,

1Department of Transport Technology and Economics, Budapest University of Technology and Economics, Budapest, Hungary

Pub. Date: August 02, 2013

Cite this paper:
Adam TOROK. Simplification of Road Transport Infrastructure Layout for Better Self-Explanation. American Journal of Vehicle Design. 2013; 1(1):16-20. doi: 10.12691/ajvd-1-1-3

Abstract

Improving road safety is a primary goal in the European Union. Authors are investigating road transport as a complex system consisting of infrastructure, vehicles and the human side. This is a complex system that is designed, built, and managed by people. This article aimed to investigate the cross-sectional layout of road transport infrastructure and the statistical analysis of the results. The national road infrastructure building standards formed the basis of investigation. The author has formulated the hypothesis that local planning regulations in Hungary must be simplified and road types should have been merged. The cross-sectional layout is very important from the driver’s point of view regarding the appropriate choice of speed, which is dependent on the psychological schema corresponding to the given road layout and is important for proper behavior in traffic.

Keywords:
cross-sectional layout of road infrastructure statistical analysis factor analysis self-explaining roads

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References:

[1]  Bogdevičiusa, Prentkovskis, Vladimirovc (2004): Engineering solutions of traffic safety problems of road transport, Transport, 19(1) p43-50.
 
[2]  Borg, Groenen, (1997): Modern multidimensional scaling: theory and applications. New York: Springer.
 
[3]  Charlton, Mackie, Baas, Hay, Menezes, Dixon (2010): Using endemic road features to create self-explaining roads and reduce vehicle speeds, Accident Analysis & Prevention, 42(6), p1989-1998.
 
[4]  Čokorilo: Quantified risk assessment modelling of aircraft landing operations, Scientific Research and Essays 6 (20), p4406-4413.
 
[5]  Haglund, Åberg (2000): Speed choice in relation to speed limit and influences from other drivers, Transportation Research Part F: Traffic Psychology and Behaviour, Vol 3(1) pp39-51.
 
[6]  Hamish W. Mackie , Samuel G. Charlton , Peter H. Baas, Pablo C. Villasenor (2013): Road user behaviour changes following a self-explaining roads intervention, Accident Analysis & Prevention, Volume 50, January 2013, p742-750.
 
[7]  Hauer, Ahlin (1982): Speed enforcement and speed choice, Accident Analysis & Prevention, Vol 14(4) pp267-278.
 
[8]  Hlédik; Logo, Torok (2012): Mathematical evaluation of cross-sectional layout of Hungarian road infrastructure [in Hungarian: Közúti közlekedési infrastruktúra keresztmetszeti kialakításának értékelése matematikai módszerekkel], Scientific Review of Transport [in Hungarian: Közlekedéstudományi Szemle] (ISSN: 0023-4362) 62: (6) pp. 15-20.
 
[9]  Holló, Eksler, Zukowska (2010): Road safety performance indicators and their explanatory value: A critical view based on the experience of Central European countries, Safety Science, 48 p1142-1150.
 
[10]  Hóz, Sipos (2012): Validation possibilities of the principles of self-explaining roads and forgiving road environmen in the Hungarian road infrastructure development [in Hungarian: Önmagát magyarázó út és a megbocsátó útkörnyezet alapelveinek érvényesítési lehetőségei a hazai közúti infrastruktúra kialakításában, fejlesztésében], research report [in Hungarian: kutatási jelentés], KTI.
 
[11]  Iván (2012): Survey of free speeds on rural roads based on road scene photographs, Pollack Periodica: An International Journal For Engineering And Information Sciences 7(1) p 65-74.
 
[12]  Koren et. al. (2005): Road Safety Audit Guide [in Hungarian: Közúti biztonsági audit útmutató], research report.
 
[13]  Kruskal, (1964): Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis, Psychometrika, 29, p1-27.
 
[14]  Road Directorate, Denmark (1997): Manual of Road Safety Audit, (2nd edition).
 
[15]  Samuel G. Charlton, Hamish W. Mackie, Peter H. Baas, Karen Hay, Miguel Menezes, Claire Dixon (2012): Using endemic road features to create self-explaining roads and reduce vehicle speeds, Accident Analysis & Prevention, Volume 42, Issue 6, November 2010, Pages 1989-1998.
 
[16]  Sesztakov, et. al. (2011): The analysis of age distribution of victims in Hungarian road accidents [in Hungarian: A közúti közlekedési balesetek korfájának elemzése], Roadsafety – Offical Journal of Hungarian National Transport Authority [in Hungarian: Közlekedésbiztonság - A Nemzeti Közlekedési Hatóság Szakmai Lapja] Vol. 1 No. 5 p42-46.
 
[17]  Theeuwes, Godthelp (1995): A. Generic method and technique Phase 4: Implementation: Road design: Self-explaining roads, Safety Science, 19(2-3), p217-225.
 
[18]  Torgerson, (1952).: Multidimensional scaling: I. Theory and method. Psychometrika, 17, p401-419.
 
[19]  Török, Berta (2009): Layout effect of roadway on road vehicle speeds, Pollack Periodica: An International Journal For Engineering And Information Sciences 2009/4 p115-120.
 
[20]  Török, Prentkovskis: Road safety in Hungary and Lithuania: Investigation of seasonal transport demand, TRANSBALTICA 2011. Vilnius, Lithuania, 2011.05.05-2011.05.06., p232-235.
 
[21]  Vesper, Taneerananon, Kanitpong, Iamtrakul, Brannolte, Koren, (2010): Approach of a methodology for road design guideline implementation in thailand based on international technology and knowledge transfer, Journal of Society for Transportation and Traffic Studies Vol. 1 No. 3, p54-67.