On Vehicle Tracking Data-Based Road Network Generation
Proc. 20th ACM SIGSPATIAL GIS Conference
2012
Conference/Workshop
- Contact persons: Dieter Pfoser , Sophie Karagiorgou
Abstract.
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.