@inproceedings{3dde4472be804fd2b1779d09eedc218e,
title = "Clustering speed in multi-lane traffic networks",
abstract = "We address the problem of efficient spatio-temporal clustering of speed data in road segments with multiple lanes. We postulate that the navigation/route plans typically reported by different providers as a single-value need not be accurate in multi-lane networks. Our methodology generates lane-aware distribution of speed from GPS data and agglomerates the basic space and time units into larger clusters. Thus, we achieve a compact description of speed variations which can be subsequently used for more accurate trips planning. We provide experiments that demonstrate the benefits of our proposed approaches.",
keywords = "Multi-lane roads, Speed clustering, Trajectories",
author = "Bing Zhang and Goce Trajcevski and Feiying Liu",
note = "Funding Information: Research Supported by the NSF III 1213038 grant Research Supported by the NSF grants CNS 0910952 and III 1213038, and ONR grant N00014-14-10215 Publisher Copyright: {\textcopyright} 2016 ACM. Copyright: Copyright 2016 Elsevier B.V., All rights reserved.; 25th ACM International Conference on Information and Knowledge Management, CIKM 2016 ; Conference date: 24-10-2016 Through 28-10-2016",
year = "2016",
month = oct,
day = "24",
doi = "10.1145/2983323.2983905",
language = "English (US)",
series = "International Conference on Information and Knowledge Management, Proceedings",
publisher = "Association for Computing Machinery",
pages = "2045--2048",
booktitle = "CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management",
}