Acta Geodaetica et Cartographica Sinica ›› 2021, Vol. 50 ›› Issue (12): 1650-1662.doi: 10.11947/j.AGCS.2021.20200470

• Location Service and Geospatial Information Processing • Previous Articles     Next Articles

Construction of navigable road network based on taxi trajectories

ZHANG Caili1,2, XIANG Longgang1, LI Yali1, WANG Wenlong3   

  1. 1. State Key Lab of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
    2. Urban and Rural Construction College, Shaoyang University, Shaoyang 422000, China;
    3. State Grid Siji Shenwang Location Service(Beijing) Co., Ltd., Beijing 100000, China
  • Received:2020-09-21 Revised:2021-05-08 Published:2022-01-08
  • Supported by:
    The National Natural Science Foundation of China (Nos. 41771474;42071432);The State Grid Corporation Headquarters Technology Project(No. 5700-201919244A-0-0-00)

Abstract: Taxi trajectories not only reflect the static geometrical and topological structures of urban road network, but also carry dynamic navigation information such as turning relationship. Considering that the location, topological connection and turning rules of road intersection are the basis and key to the construction of navigable road network, this paper made full use of the spatial distribution and dynamic connection information of taxi trajectories and proposed a navigable road network generation method guided by intersection information, which adopts the research idea of “intersection location—road segment geometry—navigation attribute”. Firstly, an integrated intersection recognition technology considering multi-mode features was designed, and then the random forest algorithm was introduced to explore a zero-label supervised anti-counterfeiting strategy for eliminating false intersections; on this basis, a multi-stage road segment generation method based on Delaunay triangulation network was proposed; finally, the turning relationship and one/two-way information of road segment, which are closely related to intersections, were further captured so as to derive a navigable road network. Compared with other methods, the proposed method achieves higher completeness and accuracy for the extraction of navigable road network information such as road intersection, road segment and turning relationship.

Key words: taxi trajectory, construction of navigable road network, road intersection recognition

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