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- Title
基于共享单车轨迹的精细路网更新方法.
- Authors
郭文峰; 万义良; 金 瑞; 黄金彩; 张睿媛
- Abstract
The integrity and real-time of urban road data is the key support to guarantee location services and navigation path planning. Widely distributed and time-sensitive crowdsourced trajectory data provide new ideas for road data generation and updating ・ However, most of the existing automatic road extraction methods are based on vehicle trajectories for global road network topology extraction, with low sampling frequency and insufficient road coverage, which makes it difficult to meet the practical needs of diverse navigation location services・ In view of the above, we propose an automatic detection and update method for newly added roads based on shared bike trajectory data・ Firstly, the incremental change trajectory is detected by combining buffer method and trajectory road network geometric features・ Secondly, based on the segmentation-clustering-aggregation strategy to extract the updated road sections, a multi-feature fusion density clustering algorithm containing midpoint distance threshold, angle threshold, and length threshold is proposed for sub-trajectory clustering, and then the incremental roads are extracted based on the trajectory clusters using the minimum bounding rectangle (MBR) skeleton method. Finally, the road update is completed based on the topological rules・ The proposed method is compared with the traditional raster refinement method using real shared bike trajectories in Guangzhou. The experimental results show that the method can not only effectively update the road network, but also improve the accuracy of the new road coverage extracted by the proposed method by about 14% in the fine buffer range of 2 m and 5 m; in the buffer range of 7 m and 10 m, the extraction accuracy of the proposed method can reach more than 90%, especially in the scale of 10 m, the accuracy can reach more than 96%, which verifies the effectiveness and accuracy of the proposed method.
- Subjects
GUANGZHOU (China); RECTANGLES; SKELETON; NAVIGATION; TOPOLOGY; ANGLES
- Publication
Geography & Geographic Information Science, 2022, Vol 38, Issue 1, p86
- ISSN
1672-0504
- Publication type
Article
- DOI
10.3969/j.issn.1672--0504.2022.01.013