TY - GEN
T1 - A framework for interactive geospatial map cleaning using GPS trajectories
AU - Vementala, Nikhil
AU - Papotti, Paolo
AU - Elsayed, Mohamed
N1 - Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/11/7
Y1 - 2017/11/7
N2 - A volunteered geographic information system, e.g., OpenStreetMap (OSM), collects data from volunteers to generate geospatial maps. To keep the map consistent, volunteers are expected to perform the tedious task of updating the underlying geospatial data at regular intervals. Such map curation step takes time and considerable human effort. In this paper, we propose a framework that improves the process of updating geospatial maps by automatically identifying road changes from user generated GPS traces. Since GPS traces can be sparse and noisy, the proposed framework validates the map changes with the users before propagating them to a publishable version of the map. The proposed framework achieves up to four times faster map matching performance than the state-of-the-art algorithms with only 0.1-0.3% accuracy loss.
AB - A volunteered geographic information system, e.g., OpenStreetMap (OSM), collects data from volunteers to generate geospatial maps. To keep the map consistent, volunteers are expected to perform the tedious task of updating the underlying geospatial data at regular intervals. Such map curation step takes time and considerable human effort. In this paper, we propose a framework that improves the process of updating geospatial maps by automatically identifying road changes from user generated GPS traces. Since GPS traces can be sparse and noisy, the proposed framework validates the map changes with the users before propagating them to a publishable version of the map. The proposed framework achieves up to four times faster map matching performance than the state-of-the-art algorithms with only 0.1-0.3% accuracy loss.
KW - Map Cleaning
KW - Map Matching Algorithm
UR - http://www.scopus.com/inward/record.url?scp=85045400607&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045400607&partnerID=8YFLogxK
U2 - 10.1145/3151547.3151551
DO - 10.1145/3151547.3151551
M3 - Conference contribution
AN - SCOPUS:85045400607
T3 - ACM International Conference Proceeding Series
SP - 19
EP - 23
BT - Proceedings of IWCTS 2017
PB - Association for Computing Machinery
T2 - 10th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2017
Y2 - 7 November 2017
ER -