Book
Designing Road Maintenance Data Model Using Dynamic Segmentation Technique.
| Τίτλος: | Designing Road Maintenance Data Model Using Dynamic Segmentation Technique. |
|---|---|
| Συγγραφείς: | Jelokhani-Niaraki, Mohammad Reza, Alesheikh, Ali Asghar, Alimohammadi, Abbas, Sadeghi-Niaraki, Abolghasem |
| Πηγή: | Computational Science & Its Applications - Iccsa 2009; 2009, p442-452, 11p |
| Περίληψη: | Road maintenance management covers a wide spectrum of activities including road construction, rehabilitation and maintenance programs, etc. Geospatial Information Systems (GIS) can immensely assist the decision makers in these applications. Arc-node data models represent roads as linear features with associated attributes. The attributes are linked to arcs with similar length and location without attention to the applications at hand. In addition, these models do not provide the efficient way to present more detailed information of roads. Because Arc-node structure defines the linear feature as an arc and it is not possible to present road data varying in different parts of arc. Therefore, road maintenance data models which are only on the basis of Arc-node structure result in inefficient analysis and even the results which are not consistent with reality. In order to improve the flexibility of such Arc-node presentation in GIS-T, this paper scientifically examines Dynamic Segmentation (DS), that it is an efficient means to manage the heterogeneous attributes along the arcs. Moreover, this research proposed the road maintenance data model using DS technique. The data model in this work was successfully implemented in the Iranian road network. The result on real data illustrated the merits of the present approach. [ABSTRACT FROM AUTHOR] |
| Copyright of Computational Science & Its Applications - Iccsa 2009 is the property of Springer Nature / Books and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Designing Road Maintenance Data Model Using Dynamic Segmentation Technique. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jelokhani-Niaraki%2C+Mohammad+Reza%22">Jelokhani-Niaraki, Mohammad Reza</searchLink><br /><searchLink fieldCode="AR" term="%22Alesheikh%2C+Ali+Asghar%22">Alesheikh, Ali Asghar</searchLink><br /><searchLink fieldCode="AR" term="%22Alimohammadi%2C+Abbas%22">Alimohammadi, Abbas</searchLink><br /><searchLink fieldCode="AR" term="%22Sadeghi-Niaraki%2C+Abolghasem%22">Sadeghi-Niaraki, Abolghasem</searchLink> – Name: TitleSource Label: Source Group: Src Data: Computational Science & Its Applications - Iccsa 2009; 2009, p442-452, 11p – Name: Abstract Label: Abstract Group: Ab Data: Road maintenance management covers a wide spectrum of activities including road construction, rehabilitation and maintenance programs, etc. Geospatial Information Systems (GIS) can immensely assist the decision makers in these applications. Arc-node data models represent roads as linear features with associated attributes. The attributes are linked to arcs with similar length and location without attention to the applications at hand. In addition, these models do not provide the efficient way to present more detailed information of roads. Because Arc-node structure defines the linear feature as an arc and it is not possible to present road data varying in different parts of arc. Therefore, road maintenance data models which are only on the basis of Arc-node structure result in inefficient analysis and even the results which are not consistent with reality. In order to improve the flexibility of such Arc-node presentation in GIS-T, this paper scientifically examines Dynamic Segmentation (DS), that it is an efficient means to manage the heterogeneous attributes along the arcs. Moreover, this research proposed the road maintenance data model using DS technique. The data model in this work was successfully implemented in the Iranian road network. The result on real data illustrated the merits of the present approach. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Computational Science & Its Applications - Iccsa 2009 is the property of Springer Nature / Books and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/978-3-642-02454-2_31 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 442 Titles: – TitleFull: Designing Road Maintenance Data Model Using Dynamic Segmentation Technique. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jelokhani-Niaraki, Mohammad Reza – PersonEntity: Name: NameFull: Alesheikh, Ali Asghar – PersonEntity: Name: NameFull: Alimohammadi, Abbas – PersonEntity: Name: NameFull: Sadeghi-Niaraki, Abolghasem IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2009 Type: published Y: 2009 Identifiers: – Type: isbn-print Value: 9783642024535 Titles: – TitleFull: Computational Science & Its Applications - Iccsa 2009 Type: main |
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