Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Romanian Journal of Transport Infrastructure

The Journal of Technical University of Civil Engineering Bucharest

2 Issues per year

Open Access
Online
ISSN
2286-2218
See all formats and pricing
More options …

Increase the Safety of Road Traffic Accidents by Applying Clustering

Goran Kos / Predrag Brlek / Kristijan Meic / Kresimir Vidovic
Published Online: 2015-02-06 | DOI: https://doi.org/10.1515/rjti-2015-0018

Abstract

In terms of continual increase of number of traffic accidents and alarming trend of increasing number of traffic accidents with catastrophic consequences for human life and health, it is necessary to actively research and develop methods to combat these trends. One of the measures is the implementation of advanced information systems in existing traffic environment. Accidents clusters, as databases of traffic accidents, introduce a new dimension in traffic systems in the form of experience, providing information on current accidents and the ones that have previously occurred in a given period. This paper proposes a new approach to predictive management of traffic processes, based on the collection of data in real time and is based on accidents clusters. The modern traffic information services collects road traffic status data from a wide variety of traffic sensing systems using modern ICT technologies, creating the most accurate road traffic situation awareness achieved so far. Road traffic situation awareness enhanced by accident clusters' data can be visualized and distributed in various ways (including the forms of dynamic heat maps) and on various information platforms, suiting the requirements of the end-users. Accent is placed on their significant features that are based on additional knowledge about existing traffic processes and distribution of important traffic information in order to prevent and reduce traffic accidents.

Keywords: accident cluster; traffic information system; road traffic safety

References

  • [1]. R FILJAR, M DUJAK, B DRILO, D SARIC, Z KLJAIĆ: Road traffic status estimation using network-based location intelligence. Automation in Transportation, 29th Conference on Transportation Systems 2009.Google Scholar

  • [2]. D FILIPOVA, J LEE, A OLEA, M VANDANIKER, K WONGSUPHASAVAT: Exploring clusters in geospatial datasets. Human-computer interaction lab, University of Maryland. 2008Google Scholar

  • [3]. M KARASAHIN, S TERZI: Determination of hazardous locations on highway through GIS: A case study-rural road of Isparta-Antalya. International Symposium on GIS, Istanbul- Turkey. 2002.Google Scholar

  • [4]. C HECHT, K HEINIG: A map based accident hot spot warning application. Concept from the MAPS&ADAS vertical subproject of the 6FP integrated project PReVENT. 2006Google Scholar

  • [5]. K VIDOVIC, M DUJAK, K MEIC: Accident Clusters Estimation as part of Traffic Information Services. Road Accident Prevention 2010, 10th International Symposium Novi Sad 2010.Google Scholar

  • [6]. J. MILLER HARVEY, Shaw Shih LUNG: Geographic Information Systems for Transportation. Oxford University Press, 2001Google Scholar

  • [7]. P BRLEK: Methods of central projection of traffic signs on the roads. Master Thesis, Faculty of Traffic Sciences, Zagreb, 2004.Google Scholar

  • [8]. P BRLEK, K VIDOVIC, M SOSTARIC: The Use of Geo-referenced Video in the Increase of Traffic Safety. 9th Symposium with international participation „Prevention of Traffic Accidents of Roads 2008“, Novi Sad, 2008.Google Scholar

About the article

Published Online: 2015-02-06

Published in Print: 2013-12-01


Citation Information: Romanian Journal of Transport Infrastructure, ISSN (Online) 2286-2218, DOI: https://doi.org/10.1515/rjti-2015-0018.

Export Citation

© 2015. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

Comments (0)

Please log in or register to comment.
Log in