Road extraction using smart phones GPS

Authors:
Zheng Niu;Songnian Li;Neda Pousaeid
Affiliations:
Ryerson University, Toronto, ON, Canada;Ryerson University, Toronto, ON, Canada;Ryerson University, Toronto, ON, Canada
Venue:
Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications
Year:
2011

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Abstract

GPS data crowd-sourced through smart phones is an emerging source of inexpensive data that can be used to provide real-time traffic information, identify traffic patterns, and predict traffic congestions. The same type of data can be very useful for cost-effective, fast updating of road network databases due to its rich spatial and temporal coverage and high data volume. This paper presents the results of a study that extracts road geometry data using GPS data received from smart phones. The focus is on the method for road centerlines and the study presents some promising results. It is expected the method can supplement, if not replace, the current practices of acquiring road network data using traditional expensive and time consuming survey or remote sensing approaches.