Route planning and map inference with global positioning traces
Computer Science in Perspective
Mining GPS Traces for Map Refinement
Data Mining and Knowledge Discovery
On map-matching vehicle tracking data
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Trajectory clustering: a partition-and-group framework
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
From GPS traces to a routable road map
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Probabilistic modeling of traffic lanes from GPS traces
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Road network reconstruction for organizing paths
SODA '10 Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete Algorithms
Detecting road intersections from GPS traces
GIScience'10 Proceedings of the 6th international conference on Geographic information science
Metric graph reconstruction from noisy data
Proceedings of the twenty-seventh annual symposium on Computational geometry
Constructing street networks from GPS trajectories
ESA'12 Proceedings of the 20th Annual European conference on Algorithms
CrowdAtlas: self-updating maps for cloud and personal use
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Segmentation-based road network construction
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Proceedings of The First ACM SIGSPATIAL International Workshop on Computational Models of Place
Map matching with inverse reinforcement learning
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Road networks are important datasets for an increasing number of applications. However, the creation and maintenance of such datasets pose interesting research challenges. This work proposes an automatic road network generation algorithm that takes vehicle tracking data in the form of trajectories as input and produces a road network graph. This effort addresses the challenges of evolving map data sets, specifically by focusing on (i) automatic map-attribute generation (weights), (ii) automatic road network generation, and (iii) by providing a quality assessment. An experimental study assesses the quality of the algorithms by generating a part of the road network of Athens, Greece, using trajectories derived from GPS tracking a school bus fleet.