Recognition of Built-Up and Non-Built-Up Areas from Road Scenes
It is widely known that road users choose their speed based on their visual impression of the road scene, rather than on speed limit signs. Too often it does not follow from the road design, whether the given scene is within or outside the posted built-up area. This paper shows two methods to assess the degree of uncertainty of the drivers. In the first approach, a survey of requested speeds at various road scenes has shown that in unclear situations the standard deviation of chosen speeds is higher than in unambiguous situations. In the second method, the recognition process of drivers was simulated by image classification software. For road scenes which are definitely of built-up or non-built-up nature, the trained classifier works reasonably well. Furthermore, as expected, for unclear situations, the classifier gives an uncertain classification. Each of the two methods produces an output indicator, the standard deviation of speeds and the certainty score, respectively. Both indicators can serve to identify road scenes leading to uncertain and therefore risky situations.
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Corporate Authors:
14-20 bd Newton, Cité Descartes, Champs su Marne
77447 Marne la Vallée, France Cedex 2 -
Authors:
- Ivan, Gabriella
- Koren, Csaba
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Conference:
- Transport Research Arena (TRA) 5th Conference: Transport Solutions from Research to Deployment
- Location: Paris , France
- Date: 2014-4-14 to 2014-4-17
- Publication Date: 2014-4
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Photos; References; Tables;
- Pagination: 9p
- Monograph Title: Transport Research Arena (TRA) 2014 Proceedings
Subject/Index Terms
- TRT Terms: Drivers; Highway design; Highway safety; Risk taking; Simulation; Speed; Standard deviation
- Subject Areas: Highways; Safety and Human Factors; I83: Accidents and the Human Factor;
Filing Info
- Accession Number: 01531492
- Record Type: Publication
- Files: VTI, TRIS, ATRI
- Created Date: Jul 24 2014 3:22PM