Combining Road Network Data from OpenStreetMap with an Authoritative Database - Publication - Bridge of Knowledge

Search

Combining Road Network Data from OpenStreetMap with an Authoritative Database

Abstract

Computer modeling of road networks requires detailed and up-to-date dataset. This paper proposes a method of combining authoritative databases with OpenStreetMap (OSM) system. The complete route is established by finding paths in the graph constructed from partial data obtained from OSM. In order to correlate data from both sources, a method of coordinate conversion is proposed. The algorithm queries road data from OSM and provides means of locating any point on the route in both datasets. A method of calculating the distance of any route point from the origin, and conversion between the distance and geographic coordinates, is described. Next, the location of any route point in the authoritative database is converted to the calculated route distance, which establishes a relation between the two data sources. Additionally, a method of estimating road curvature is proposed. The algorithm is validated in series of experiments. The proposed algorithm may be beneficial for researchers who collect datasets needed for computer simulations, e.g. for evaluation of optimal speed limits, and it shows usefulness of OSM in transportation related research.

Citations

  • 1

    CrossRef

  • 0

    Web of Science

  • 3

    Scopus

Cite as

Full text

download paper
downloaded 596 times
Publication version
Accepted or Published Version
License
Copyright (2018 American Society of Civil Engineers)

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
Journal of Transportation Engineering, Part A: Systems no. 145, edition 2, pages 1 - 10,
ISSN: 2473-2907
Language:
English
Publication year:
2019
Bibliographic description:
Szwoch G.: Combining Road Network Data from OpenStreetMap with an Authoritative Database// Journal of Transportation Engineering, Part A: Systems -Vol. 145,iss. 2 (2019), s.1-10
DOI:
Digital Object Identifier (open in new tab) 10.1061/jtepbs.0000215
Sources of funding:
  • Projekt InPreDo, nr umowy OT4- 4B/AGH-PG-WSTKT
Verified by:
Gdańsk University of Technology

seen 256 times

Recommended for you

Meta Tags