Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

A pedestrian network construction algorithm based on multiple GPS traces

Kasemsuppakorn, P and Karimi, HA (2013) A pedestrian network construction algorithm based on multiple GPS traces. Transportation Research Part C: Emerging Technologies, 26. 285 - 300. ISSN 0968-090X

[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

Currently, pedestrian networks are not as widely available as road networks are for many areas; this is partly due to the high demand for applications such as car navigation. However, this situation is rapidly changing as GPS-enabled mobile devices are increasingly becoming commonplace for pedestrian applications and as they are potential for volunteered data collection. For this reason, the development of efficient and cost-effective techniques appropriate for collecting and constructing pedestrian network databases is needed. This paper presents an algorithm for automatically identifying geometries of pedestrian path segments and constructing a pedestrian network from multiple GPS traces. The algorithm was experimented by using two sets of data sources, self-collected walking traces and OpenStreetMap (OSM) walking traces. The experiment with self-collected data was validated by comparing the constructed pedestrian network with a network baseline and calculating the quality measurements in three environment settings. The experiment with OSM traces was validated by visually inspecting maps overlaid on high-resolution images. Evaluation results show that the algorithm can automatically construct pedestrian networks. © 2012 Elsevier Ltd.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Kasemsuppakorn, P
Karimi, HAhkarimi@pitt.eduHKARIMI
Date: 1 January 2013
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Transportation Research Part C: Emerging Technologies
Volume: 26
Page Range: 285 - 300
DOI or Unique Handle: 10.1016/j.trc.2012.09.007
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 0968-090X
Date Deposited: 25 Jun 2013 16:43
Last Modified: 02 Feb 2019 16:55
URI: http://d-scholarship.pitt.edu/id/eprint/19054

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item