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Method of Assessing Vehicle Motion Trajectory at One-Lane Roundabouts Using Visual Techniques

Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 52)

Abstract

The main purpose of roundabouts is road traffic calming by triggering a vehicle motion trajectory change before entering the roundabout and consequential traffic deceleration when crossing the roundabout area. The article provides a discussion on results of research concerning vehicle motion trajectory at one-lane roundabouts. Specific cases have been studied to analyse the effect of one-lane roundabout geometry on vehicle motion trajectory. The relevant survey was conducted by video recording a road traffic scene at a roundabout. An image thus obtained made it possible to determine what is referred to as a dipped headlight track of vehicles by application of the Harris algorithm. The vehicle motion trajectories recorded in the survey were subject to statistical analysis in order to reveal any potential regularities that could be relevant to assessment of the current roundabout geometry. The measuring method proposed is more flexible compared to other vehicle motion trajectory recording techniques, as it enables vehicular traffic to be studied under most weather and illumination conditions, including at night, in non-illuminated road sections, and even in fog.

Keywords

Vehicle motion trajectories Roundabout Visual techniques Road traffic safety 

References

  1. 1.
    Federal Highway Administration: Roundabouts: An Informational Guide. Publication No. FHWA-RD-00-067. Kittelson & Associates, Portland, Oregon (2000)Google Scholar
  2. 2.
    Mills, A., Duthie, J., Machemehl, R., Waller, T.: Texas Roundabout Guidelines. CTR, Austin (2011)Google Scholar
  3. 3.
    Department of Transport (United Kingdom): Geometric Design of Roundabouts. http://www.standardsforhighways.co.uk/ha/standards/dmrb/vol6/section2/td1607.pdf
  4. 4.
    Brilon, W., Bondzio, L.: Untersuchung von Mini-Kreisverkehrsplaetzen. Ruhr-University, Bochum (1999)Google Scholar
  5. 5.
    Macioszek, E.: The comparison of models for critical headways estimation at roundabouts. In: Macioszek, E., Sierpiński, G. (eds.) Contemporary Challenges of Transport Systems and Traffic Engineering. LNNS, vol. 2, pp. 205–219. Springer, Switzerland (2017)Google Scholar
  6. 6.
    Szczuraszek, T., Macioszek, E.: Proportion of vehicles moving freely depending on traffic volume and proportion of trucks and buses. Baltic J. Road Bridge Eng. 8(2), 133–141 (2013)CrossRefGoogle Scholar
  7. 7.
    Pilko, H., Brčić, D., Šubić, N.: Speed as an element for designing roundabouts. In: Proceedings of 2nd International Conference on Road and Rail Infrastructure - CETRA 2012, pp. 981–988. CETRA Press, Dubrovnik (2012)Google Scholar
  8. 8.
    Šubić, N., Legac, I., Pilko, H.: Analysis of capacity of roundabouts in the city of Zagreb according to HCM-C-2006 and Ning Wu methods. Tech. Gaz. 19(2), 451–457 (2012)Google Scholar
  9. 9.
    Legac, I., Ključarić, M., Blaić, D., Pilko, H.: Traffic safety of roundabouts in the City of Zagreb. Proc. Med. Tech. Legal Aspects Traffic Saf. 1, 49–55 (2009)Google Scholar
  10. 10.
    Macioszek, E.: Analiza Prędkości Przejazdu Pojazdów Przez Skrzyżowania z Ruchem Okrężnym. Systemy, Podsystemy i Środki w Transporcie Drogowym, Morskim i Śródlądowym. Prace Naukowe Politechniki Warszawskiej Seria Transport, vol. 82, pp. 69–84 (2012)Google Scholar
  11. 11.
    Brude, U., Larsson, J.: What roundabout design provides the highest possible safety? Nordic Road Transp. Res. 2, 17–22 (2000)Google Scholar
  12. 12.
    Harper, N.J., Dunn, R.C.M.: Accident prediction models at roundabouts. In: Proceedings of the 75th ITE Annual Meeting, Institute of Transportation Engineers, Washington, pp. 1–15 (2005)Google Scholar
  13. 13.
    Harris, C., Stephens, M.: A Combined Corner And Edge Detector. https://www.cis.rit.edu/~cnspci/references/dip/feature_extraction/harris1988.pdf
  14. 14.
    Overpass Service. https://overpass-turbo.eu/
  15. 15.
    Coelho, M., Farias, T.L., Rouphail, N.: Effect of roundabout operations on pollutant emissions. Transp. Res. Part D Transp. Environ. 11(5), 333–343 (2006)CrossRefGoogle Scholar
  16. 16.
    Macioszek, E., Sierpiński, G., Czapkowski, L.: Methods of modeling the bicycle traffic flows on the roundabouts. In: Mikulski, J. (ed.) Transport Systems Telematics. CCIS, vol. 104, pp. 115–124. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  17. 17.
    Staniek, M.: Stereo vision method application to road inspection. Baltic J. Road Bridge Eng. 12(1), 38–47 (2017)CrossRefGoogle Scholar
  18. 18.
    Staniek, M.: Road pavement condition as a determinant of travelling comfort. In: Sierpiński, G. (ed.) Intelligent Transport Systems And Travel Behaviour. AISC, vol. 505, pp. 99–107. Springer, Cham (2017)CrossRefGoogle Scholar
  19. 19.
    Staniek, M.: Moulding of travelling behaviour patterns entailing the condition of road infrastructure. In: Macioszek, E., Sierpiński, G. (eds.) Contemporary Challenges of Transport Systems And Traffic Engineering. LNNS, vol. 2, pp. 181–191. Springer, Cham (2017)Google Scholar
  20. 20.
    Pypno, C., Sierpiński, G.: Automated large capacity multi-story garage - concept and modeling of client service processes. Autom. Constr. 81(1), 422–433 (2017)CrossRefGoogle Scholar
  21. 21.
    Małecki, K., Wątróbski, J.: Cellular automaton to study the impact of changes in traffic rules in a roundabout: a preliminary approach. Appl. Sci. 7(7), 742 (2017)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of TransportSilesian University of TechnologyKatowicePoland

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