Information modeling for road asset management
(2019) International Conference on Numerical Analysis and Applied Mathematics 2018, ICNAAM 2018 2116.- Abstract
The introduction of high efficiency and multifunctional equipment for road survey increase not only the quality but also the possibility of integration of different source of data to increase the value of the information. The present research work, starting from a common data source, the Automatic Road Analyzer (ARAN) of the University of Catania, shown as data surveyed with ARAN can be used to develop an advanced Road Information Model (RIM) for the Road Asset Management (RAM). A RIM model makes possible to improve the flexibility in information access and to merge data with the aim to allow a complete RAM application in the same environment. Data collected and stored with high efficiency equipment allows to get high quality and... (More)
The introduction of high efficiency and multifunctional equipment for road survey increase not only the quality but also the possibility of integration of different source of data to increase the value of the information. The present research work, starting from a common data source, the Automatic Road Analyzer (ARAN) of the University of Catania, shown as data surveyed with ARAN can be used to develop an advanced Road Information Model (RIM) for the Road Asset Management (RAM). A RIM model makes possible to improve the flexibility in information access and to merge data with the aim to allow a complete RAM application in the same environment. Data collected and stored with high efficiency equipment allows to get high quality and detailed information of the road asset and offers the chance to create georeferenced database which can be used both for safety assessment and for the other RAM related applications. BIM provides a comprehensive approach involving the generation and management of transport infrastructure assets using 3D digital representations of their physical and functional characteristics allowing to produce ad hoc output for investigate in the same environment different parts of the RAM.
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- author
- Cafiso, S. ; D'Agostino, C. LU ; Delfino, E. and Di Graziano, A.
- organization
- publishing date
- 2019-07-24
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2018
- editor
- Tsitouras, Ch. and Simos, T.E.
- volume
- 2116
- article number
- 280003
- publisher
- American Institute of Physics (AIP)
- conference name
- International Conference on Numerical Analysis and Applied Mathematics 2018, ICNAAM 2018
- conference location
- Rhodes, Greece
- conference dates
- 2018-09-13 - 2018-09-18
- external identifiers
-
- scopus:85069957030
- ISBN
- 9780735418547
- DOI
- 10.1063/1.5114286
- language
- English
- LU publication?
- yes
- id
- bd23fcfd-e253-4863-a4c4-0c6d25c79629
- date added to LUP
- 2019-08-13 17:02:50
- date last changed
- 2022-08-23 11:49:54
@inproceedings{bd23fcfd-e253-4863-a4c4-0c6d25c79629, abstract = {{<p>The introduction of high efficiency and multifunctional equipment for road survey increase not only the quality but also the possibility of integration of different source of data to increase the value of the information. The present research work, starting from a common data source, the Automatic Road Analyzer (ARAN) of the University of Catania, shown as data surveyed with ARAN can be used to develop an advanced Road Information Model (RIM) for the Road Asset Management (RAM). A RIM model makes possible to improve the flexibility in information access and to merge data with the aim to allow a complete RAM application in the same environment. Data collected and stored with high efficiency equipment allows to get high quality and detailed information of the road asset and offers the chance to create georeferenced database which can be used both for safety assessment and for the other RAM related applications. BIM provides a comprehensive approach involving the generation and management of transport infrastructure assets using 3D digital representations of their physical and functional characteristics allowing to produce ad hoc output for investigate in the same environment different parts of the RAM.</p>}}, author = {{Cafiso, S. and D'Agostino, C. and Delfino, E. and Di Graziano, A.}}, booktitle = {{International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2018}}, editor = {{Tsitouras, Ch. and Simos, T.E.}}, isbn = {{9780735418547}}, language = {{eng}}, month = {{07}}, publisher = {{American Institute of Physics (AIP)}}, title = {{Information modeling for road asset management}}, url = {{http://dx.doi.org/10.1063/1.5114286}}, doi = {{10.1063/1.5114286}}, volume = {{2116}}, year = {{2019}}, }