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Enrichment of OpenStreetMap data completeness with sidewalk geometries using data mining techniques
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| Veröffentlicht in: | Sensors 18(2018,2) Artikel-Nummer 509, 16 Seiten |
|---|---|
| Personen und Körperschaften: | , |
| Titel: | Enrichment of OpenStreetMap data completeness with sidewalk geometries using data mining techniques/ Amin Mobasheri, Haosheng Huang, Lívia Castro Degrossi and Alexander Zipf |
| Format: | E-Book-Kapitel |
| Sprache: | Englisch |
| veröffentlicht: |
8 February 2018
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| Gesamtaufnahme: |
: Sensors, 18(2018,2) Artikel-Nummer 509, 16 Seiten
, volume:18 |
| Schlagwörter: | |
| Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
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| 520 | |a Tailored routing and navigation services utilized by wheelchair users require certain information about sidewalk geometries and their attributes to execute efficiently. Except some minor regions/cities, such detailed information is not present in current versions of crowdsourced mapping databases including OpenStreetMap. CAP4Access European project aimed to use (and enrich) OpenStreetMap for making it fit to the purpose of wheelchair routing. In this respect, this study presents a modified methodology based on data mining techniques for constructing sidewalk geometries using multiple GPS traces collected by wheelchair users during an urban travel experiment. The derived sidewalk geometries can be used to enrich OpenStreetMap to support wheelchair routing. The proposed method was applied to a case study in Heidelberg, Germany. The constructed sidewalk geometries were compared to an official reference dataset (“ground truth dataset”). The case study shows that the constructed sidewalk network overlays with 96% of the official reference dataset. Furthermore, in terms of positional accuracy, a low Root Mean Square Error (RMSE) value (0.93 m) is achieved. The article presents our discussion on the results as well as the conclusion and future research directions. | ||
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| contents | Tailored routing and navigation services utilized by wheelchair users require certain information about sidewalk geometries and their attributes to execute efficiently. Except some minor regions/cities, such detailed information is not present in current versions of crowdsourced mapping databases including OpenStreetMap. CAP4Access European project aimed to use (and enrich) OpenStreetMap for making it fit to the purpose of wheelchair routing. In this respect, this study presents a modified methodology based on data mining techniques for constructing sidewalk geometries using multiple GPS traces collected by wheelchair users during an urban travel experiment. The derived sidewalk geometries can be used to enrich OpenStreetMap to support wheelchair routing. The proposed method was applied to a case study in Heidelberg, Germany. The constructed sidewalk geometries were compared to an official reference dataset (“ground truth dataset”). The case study shows that the constructed sidewalk network overlays with 96% of the official reference dataset. Furthermore, in terms of positional accuracy, a low Root Mean Square Error (RMSE) value (0.93 m) is achieved. The article presents our discussion on the results as well as the conclusion and future research directions. |
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| spelling | Mobasheri, Amin 1985- VerfasserIn (DE-588)106318178X (DE-627)810698986 (DE-576)421153482 aut, Enrichment of OpenStreetMap data completeness with sidewalk geometries using data mining techniques Amin Mobasheri, Haosheng Huang, Lívia Castro Degrossi and Alexander Zipf, 8 February 2018, 16, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Gesehen am 13.04.2018, Tailored routing and navigation services utilized by wheelchair users require certain information about sidewalk geometries and their attributes to execute efficiently. Except some minor regions/cities, such detailed information is not present in current versions of crowdsourced mapping databases including OpenStreetMap. CAP4Access European project aimed to use (and enrich) OpenStreetMap for making it fit to the purpose of wheelchair routing. In this respect, this study presents a modified methodology based on data mining techniques for constructing sidewalk geometries using multiple GPS traces collected by wheelchair users during an urban travel experiment. The derived sidewalk geometries can be used to enrich OpenStreetMap to support wheelchair routing. The proposed method was applied to a case study in Heidelberg, Germany. The constructed sidewalk geometries were compared to an official reference dataset (“ground truth dataset”). The case study shows that the constructed sidewalk network overlays with 96% of the official reference dataset. Furthermore, in terms of positional accuracy, a low Root Mean Square Error (RMSE) value (0.93 m) is achieved. The article presents our discussion on the results as well as the conclusion and future research directions., OpenStreetMap, routing, completeness, data quality, open data, sidewalk, Zipf, Alexander 1971- VerfasserIn (DE-588)123246369 (DE-627)082437076 (DE-576)175641056 aut, Enthalten in Sensors Basel : MDPI, 2001 18(2018,2) Artikel-Nummer 509, 16 Seiten Online-Ressource (DE-627)331640910 (DE-600)2052857-7 (DE-576)281205191 1424-8220 nnns, volume:18 year:2018 number:2 extent:16, http://dx.doi.org/10.3390/s18020509 Verlag Resolving-System kostenfrei Volltext, http://www.mdpi.com/1424-8220/18/2/509 Verlag kostenfrei Volltext, http://dx.doi.org/10.3390/s18020509 LFER, LFER 2018-05-17T00:00:00Z |
| spellingShingle | Mobasheri, Amin, Zipf, Alexander, Enrichment of OpenStreetMap data completeness with sidewalk geometries using data mining techniques, Tailored routing and navigation services utilized by wheelchair users require certain information about sidewalk geometries and their attributes to execute efficiently. Except some minor regions/cities, such detailed information is not present in current versions of crowdsourced mapping databases including OpenStreetMap. CAP4Access European project aimed to use (and enrich) OpenStreetMap for making it fit to the purpose of wheelchair routing. In this respect, this study presents a modified methodology based on data mining techniques for constructing sidewalk geometries using multiple GPS traces collected by wheelchair users during an urban travel experiment. The derived sidewalk geometries can be used to enrich OpenStreetMap to support wheelchair routing. The proposed method was applied to a case study in Heidelberg, Germany. The constructed sidewalk geometries were compared to an official reference dataset (“ground truth dataset”). The case study shows that the constructed sidewalk network overlays with 96% of the official reference dataset. Furthermore, in terms of positional accuracy, a low Root Mean Square Error (RMSE) value (0.93 m) is achieved. The article presents our discussion on the results as well as the conclusion and future research directions., OpenStreetMap, routing, completeness, data quality, open data, sidewalk |
| swb_id_str | 502011440 |
| title | Enrichment of OpenStreetMap data completeness with sidewalk geometries using data mining techniques |
| title_auth | Enrichment of OpenStreetMap data completeness with sidewalk geometries using data mining techniques |
| title_full | Enrichment of OpenStreetMap data completeness with sidewalk geometries using data mining techniques Amin Mobasheri, Haosheng Huang, Lívia Castro Degrossi and Alexander Zipf |
| title_fullStr | Enrichment of OpenStreetMap data completeness with sidewalk geometries using data mining techniques Amin Mobasheri, Haosheng Huang, Lívia Castro Degrossi and Alexander Zipf |
| title_full_unstemmed | Enrichment of OpenStreetMap data completeness with sidewalk geometries using data mining techniques Amin Mobasheri, Haosheng Huang, Lívia Castro Degrossi and Alexander Zipf |
| title_in_hierarchy | Enrichment of OpenStreetMap data completeness with sidewalk geometries using data mining techniques / Amin Mobasheri, Haosheng Huang, Lívia Castro Degrossi and Alexander Zipf, |
| title_short | Enrichment of OpenStreetMap data completeness with sidewalk geometries using data mining techniques |
| title_sort | enrichment of openstreetmap data completeness with sidewalk geometries using data mining techniques |
| topic | OpenStreetMap, routing, completeness, data quality, open data, sidewalk |
| topic_facet | OpenStreetMap, routing, completeness, data quality, open data, sidewalk |
| url | http://dx.doi.org/10.3390/s18020509, http://www.mdpi.com/1424-8220/18/2/509 |