dc.rights.license | Kūrybinių bendrijų licencija / Creative Commons licence | en_US |
dc.contributor.author | Žuraulis, Vidas | |
dc.contributor.author | Levulytė, Loreta | |
dc.contributor.author | Sokolovskij, Edgar | |
dc.date.accessioned | 2025-07-31T09:03:43Z | |
dc.date.available | 2025-07-31T09:03:43Z | |
dc.date.issued | 2016 | |
dc.identifier.issn | 1877-7058 | en_US |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/158668 | |
dc.description.abstract | This paper deals with the problem of a vehicle speed prediction from tire yaw marks. In forensic science, the evidences from accident scene in most cases are the main information preparing the accident report. Analysis of tire yaw marks when vehicle speed is too great to maintain the proposed circular path is the main object of this paper. Errors caused by yaw mark trajectory measurement could have influences on choice of calculation methodology and on obtained results. Photographs of traffic accident scene eliminate the uncertainties of evidences measurement and enable expert to use photogrammetric methods for determination of necessary geometrical parameters. | en_US |
dc.format.extent | 6 p. | en_US |
dc.format.medium | Tekstas / Text | en_US |
dc.language.iso | en_US | en_US |
dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/158603 | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.source.uri | https://www.sciencedirect.com/science/article/pii/S1877705816000461 | en_US |
dc.subject | speed prediction | en_US |
dc.subject | yaw marks | en_US |
dc.subject | vehicle trajectory | en_US |
dc.subject | radius of trajectory | en_US |
dc.subject | photogrammetry | en_US |
dc.subject | traffic accident reconstruction | en_US |
dc.title | Vehicle speed prediction from yaw marks using photogrammetry of image of traffic accident scene | en_US |
dc.type | Konferencijos publikacija / Conference paper | en_US |
dcterms.accessRights | Laisvai prieinamas / Openly available | en_US |
dcterms.accrualMethod | Rankinis pateikimas / Manual submission | en_US |
dcterms.license | CC BY NC ND | en_US |
dcterms.references | 11 | en_US |
dc.description.version | Taip / Yes | en_US |
dc.type.pubtype | K1a - Monografija / Monograph | en_US |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | en_US |
dc.contributor.institution | Vilnius Gediminas Technical University | en_US |
dc.contributor.faculty | Transporto inžinerijos fakultetas / Faculty of Transport Engineering | en_US |
dcterms.sourcetitle | Procedia Engineering | en_US |
dc.description.volume | vol. 134 | en_US |
dc.publisher.name | Elsevier | en_US |
dc.publisher.country | United Kingdom | en_US |
dc.publisher.city | Oxford | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.proeng.2016.043 | en_US |