A new method of road network updating based on floating car data

Aimed to solve the efficiency and timeliness problems in the traditional road updating method, the authors propose a new solution based on floating car data. By the procedures of map matching, point density analysis and automatic vectorization, the authors successfully extract plenty of new roads. T...

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Bibliographic Details
Main Authors: Yue Zhao, Jian Liu, Runqiang Chen, Jim Li, Chao Xie, Wenjiang Niu, Danyang Geng, Qiming Qin
Format: Conference Proceeding
Language:English
Subjects:
automatic vectorization
Data mining
Data processing
floating car
Global Positioning System
incremental updating
point density analysis
Remote sensing
road updating
Roads
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Summary:Aimed to solve the efficiency and timeliness problems in the traditional road updating method, the authors propose a new solution based on floating car data. By the procedures of map matching, point density analysis and automatic vectorization, the authors successfully extract plenty of new roads. The validation result shows that the method proposed here is a more efficient and timely way to update the road network. With its advantages, the long updating cycle, large manpower and material resources cost of the traditional method will be overcome. Also, the path planning and the traffic analysis applications will benefit greatly from the timely and reliable new method.
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2011.6049490