Assessment of the Current Status of Intelligent Transport Systems Serving the Improvement of Road Safety in Hungary
Reducing the number of road accident victims is a declared purpose of the European Union. The lowering of the number of accidents and victims has a positive financial effect, besides social interests. Intelligent Transport Systems (ITS) can be effective tools to improve road safety by warning and supporting the drivers and decreasing accident risks based on all the three pillars of traffic systems: the vehicle, the infrastructure and the human factor. The aim of our research was to structure the ITS solutions serving the improvement of road safety based on their characteristics and to analyze exemplary applications from each category. During the analysis - besides the structure of the systems - the presentation of data collection and data processing methods, and linkage options have also been touched upon. The research highlights the comprehensive opportunities to improve road safety by the presented applications, therefore facilitating public acceptance and revealing the importance of widespread of the Intelligent Transport Systems.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/15873811
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Supplemental Notes:
- © 2017 Árpád Török and Gábor Pauer.
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Authors:
- Török, Árpád
- Pauer, Gábor
- Publication Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: References;
- Pagination: pp 77-83
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Serial:
- Periodica Polytechnica Transportation Engineering
- Volume: 45
- Issue Number: 2
- Publisher: Budapest University of Technology and Economics
- ISSN: 1587-3811
- Serial URL: http://www.pp.bme.hu/tr/index
Subject/Index Terms
- TRT Terms: Crash data; Crash risk forecasting; Crash victims; Data collection; Highway safety; Intelligent transportation systems; Traffic crashes
- Identifier Terms: European Union
- Geographic Terms: Hungary
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors;
Filing Info
- Accession Number: 01632891
- Record Type: Publication
- Files: TRIS
- Created Date: Apr 3 2017 11:24AM