Please use this identifier to cite or link to this item:
https://doi.org/10.1111/tgis.12186
DC Field | Value | |
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dc.title | Automatic Update of Road Attributes by Mining GPS Tracks | |
dc.contributor.author | van Winden K. | |
dc.contributor.author | Biljecki F. | |
dc.contributor.author | van der Spek S. | |
dc.date.accessioned | 2018-10-05T09:04:26Z | |
dc.date.available | 2018-10-05T09:04:26Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | van Winden K., Biljecki F., van der Spek S. (2016). Automatic Update of Road Attributes by Mining GPS Tracks. Transactions in GIS 20 (5) : 664-683. ScholarBank@NUS Repository. https://doi.org/10.1111/tgis.12186 | |
dc.identifier.issn | 13611682 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/148044 | |
dc.description.abstract | Despite advances in cartography, mapping is still a costly process which involves a substantial amount of manual work. This article presents a method for automatically deriving road attributes by analyzing and mining movement trajectories (e.g. GPS tracks). We have investigated the automatic extraction of eight road attributes: directionality, speed limit, number of lanes, access, average speed, congestion, importance, and geometric offset; and we have developed a supervised classification method (decision tree) to infer them. The extraction of most of these attributes has not been investigated previously. We have implemented our method in a software prototype and we automatically update the OpenStreetMap (OSM) dataset of the Netherlands, increasing its level of completeness. The validation of the classification shows variable levels of accuracy, e.g. whether a road is a one- or a two-way road is classified with an accuracy of 99%, and the accuracy for the speed limit is 69%. When taking into account speed limits that are one step away (e.g. 60 km/h instead of the classified 50 km/h) the classification increases to 95%, which might be acceptable in some use-cases. We mitigate this with a hierarchical code list of attributes. © 2016 John Wiley & Sons Ltd | |
dc.publisher | Blackwell Publishing Ltd | |
dc.rights | Attribution-NonCommercial 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
dc.source | Scopus | |
dc.type | Article | |
dc.contributor.department | DEPT OF ARCHITECTURE | |
dc.contributor.department | REAL ESTATE | |
dc.description.doi | 10.1111/tgis.12186 | |
dc.description.sourcetitle | Transactions in GIS | |
dc.description.volume | 20 | |
dc.description.issue | 5 | |
dc.description.page | 664-683 | |
dc.description.coden | TRGIF | |
Appears in Collections: | Staff Publications Elements |
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2016_tgis_automatic_road_update.pdf | 1.73 MB | Adobe PDF | OPEN | None | View/Download |
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