Automated highway tag assessment of openstreetmap road networks

GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Volumn 04-07-November-2014, Issue , 2014, Pages 449-452

  Jilani, Musfira ^a   Corcoran, Padraig ^b   Bertolotto, Michela ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Data Quality; Ma chine Learning; OpenStreetMap; Street Network Analysis

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SOFTWARE MAINTENANCE; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION SYSTEMS; LEARNING SYSTEMS; SEMANTICS; TOPOLOGY; TRANSPORTATION;

DATA QUALITY; DATA QUALITY ASSESSMENT; MA-CHINE LEARNING; MACHINE LEARNING MODELS; OPENSTREETMAP; SEMANTIC ACCURACY; STREET NETWORK; TOPOLOGICAL CHARACTERISTICS;

ROADS AND STREETS;

EID: 84961214632     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2666310.2666476     Document Type: Conference Paper

References (10)

1. A. Ather. A quality analysis of openstreetmap data. ME Thesis, University College London UK, 2009.
2. P. Corcoran, P. Mooney, and M. Bertolotto. Analysing the growth of openstreetmap networks. Spatial Statistics, 3:21-32, 2013.
3. P. Cozens and D. Hillier. The shape of things to come: New urbanism, the grid and the cul-de-sac. International Planning Studies, 13(1):51-73, 2008.
4. G. Forbes. Urban roadway classification: Before the design begins. Paper presented at the Urban Street Symposium, Texas, Dallas, TRB Circular E-CO19, 1999.
5. J. F. Girres and G. Touya. Quality assessment of the french openstreetmap dataset. Transactions in GIS, 14(4):435-459, 2010.
6. M. Haklay. How good is volunteered geographical information? a comparative study of openstreetmap and ordnance survey datasets. Environment and planning, 37(4):682-703, 2010.
7. M. Jilani, P. Corcoran, and M. Bertolotto. Multi-granular street network representation towards quality assessment of openstreetmap data. In Proceedings of the Sixth ACM SIGSPATIAL IWCTS, 2013.
8. T. Koukoletsos, M. Haklay, and C. Ellul. Assessing data completeness of vgi through an automated matching procedure for linear data. Transactions in GIS, 16(4):477-498, 2012.
9. I. H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, 2005.
10. J. Žunić and P. L. Rosin. Measuring linearity of open planar curve segments. Image and Vision Computing, 29(12):873-879, 2011.