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Extracting accurate location information from a highly inaccurate traffic accident dataset: A methodology based on a string matching technique


Miler, Mario; Todić, Filip; Ševrović, Marko
Extracting accurate location information from a highly inaccurate traffic accident dataset: A methodology based on a string matching technique // Transportation research part c-emerging technologies, 68 (2016), 185-193 doi:10.1016/j.trc.2016.04.003 (recenziran, članak, znanstveni)


Naslov
Extracting accurate location information from a highly inaccurate traffic accident dataset: A methodology based on a string matching technique

Autori
Miler, Mario ; Todić, Filip ; Ševrović, Marko

Izvornik
Transportation research part c-emerging technologies (0968-090X) 68 (2016); 185-193

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Traffic accident ; OpenStreetMap ; Jaro–Winkler ; Inverse Distance Weighting ; Data validation

Sažetak
The objective of this research was to develop a model for validating traffic accident locations that would be applicable worldwide, regardless of linguistic or cultural differences. In order to achieve this, a Volunteered Geographic Information (VGI) dataset was used, the OpenStreetMap (OSM) project. To test the developed model, a total of 8550 accidents with fatal or non-fatal injuries that occurred in the City of Zagreb from 2010 to 2014 were evaluated. Traffic accident data was collected using the pen-and-paper method while the traffic accident locations were determined using Global Positioning System (GPS) receivers embedded within police vehicles. This form of data entry invariably introduces errors in both geometric and contextual attributes. To fully counteract these errors, the developed model consists of two key concepts: the Jaro–Winkler string matching technique and the Inverse Distance Weighting method. Over 66% of traffic accident locations were validated, which is an increase of 15% when compared to the classical approach. The model outlined in this paper shows a significant improvement in estimating the correct location of traffic accidents. This in turn results in a drastic decrease in resources needed to estimate the quality of accident locations.

Izvorni jezik
Engleski

Znanstvena područja
Geodezija, Tehnologija prometa i transport



POVEZANOST RADA


Ustanove
Geodetski fakultet, Zagreb,
Fakultet prometnih znanosti, Zagreb

Profili:

Avatar Url Mario Miler (autor)

Avatar Url Marko Ševrović (autor)

Citiraj ovu publikaciju

Miler, Mario; Todić, Filip; Ševrović, Marko
Extracting accurate location information from a highly inaccurate traffic accident dataset: A methodology based on a string matching technique // Transportation research part c-emerging technologies, 68 (2016), 185-193 doi:10.1016/j.trc.2016.04.003 (recenziran, članak, znanstveni)
Miler, M., Todić, F. & Ševrović, M. (2016) Extracting accurate location information from a highly inaccurate traffic accident dataset: A methodology based on a string matching technique. Transportation research part c-emerging technologies, 68, 185-193 doi:10.1016/j.trc.2016.04.003.
@article{article, year = {2016}, pages = {185-193}, DOI = {10.1016/j.trc.2016.04.003}, keywords = {Traffic accident, OpenStreetMap, Jaro–Winkler, Inverse Distance Weighting, Data validation}, journal = {Transportation research part c-emerging technologies}, doi = {10.1016/j.trc.2016.04.003}, volume = {68}, issn = {0968-090X}, title = {Extracting accurate location information from a highly inaccurate traffic accident dataset: A methodology based on a string matching technique}, keyword = {Traffic accident, OpenStreetMap, Jaro–Winkler, Inverse Distance Weighting, Data validation} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • Transportation Research Information Services - TRIS


Citati