<abstract xmlns="http://www.w3.org/1999/xhtml"><p> 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.</p></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.

Increase the Safety of Road Traffic Accidents by Applying Clustering

D Sc, Institute for Tourism, Vrhovec 5, HR-10000 Zagreb, Croatia

M Sc, University of Applied Sciences Nikola Tesla, Bana Ivana Karlovica 16, HR-53000 Gospic, Croatia

B Sc, Ericsson Nikola Tesla d.d., Krapinska 45, HR-10000 Zagreb, Croatia

Romanian Journal of Transport Infrastructure

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Increase the Safety of Road Traffic Accidents by Applying Clustering"}

In terms of continual increase of number of traffic accidents and alarming trend of increasing number of traffic accidents with catastrophic consequences for...

Increase the Safety of Road Traffic Accidents by Applying Clustering

Online veröffentlicht: 06. Feb. 2015

Seitenbereich: 45 - 51

DOI: https://doi.org/10.1515/rjti-2015-0018

Schlüsselwörter
accident cluster, traffic information system, road traffic safety

© 2015

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Increase the Safety of Road Traffic Accidents by Applying Clustering

Online veröffentlicht: 06. Feb. 2015

Seitenbereich: 45 - 51

DOI: https://doi.org/10.1515/rjti-2015-0018

Schlüsselwörteraccident cluster, traffic information system, road traffic safety

© 2015

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
accident cluster, traffic information system, road traffic safety