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Article

A Novel Method of Missing Road Generation in City Blocks Based on Big Mobile Navigation Trajectory Data

by 1, 1,* and 2
1
College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China
2
1RenData (ShangHai) Technology Co., Ltd., Shanghai 200092, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(3), 142; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi8030142
Received: 29 December 2018 / Revised: 28 February 2019 / Accepted: 11 March 2019 / Published: 14 March 2019
(This article belongs to the Special Issue Big Data Computing for Geospatial Applications)
With the rapid development of cities, the geographic information of urban blocks is also changing rapidly. However, traditional methods of updating road data cannot keep up with this development because they require a high level of professional expertise for operation and are very time-consuming. In this paper, we develop a novel method for extracting missing roadways by reconstructing the topology of the roads from big mobile navigation trajectory data. The three main steps include filtering of original navigation trajectory data, extracting the road centerline from navigation points, and establishing the topology of existing roads. First, data from pedestrians and drivers on existing roads were deleted from the raw data. Second, the centerlines of city block roads were extracted using the RSC (ring-stepping clustering) method proposed herein. Finally, the topologies of missing roads and the connections between missing and existing roads were built. A complex urban block with an area of 5.76 square kilometers was selected as the case study area. The validity of the proposed method was verified using a dataset consisting of five days of mobile navigation trajectory data. The experimental results showed that the average absolute error of the length of the generated centerlines was 1.84 m. Comparative analysis with other existing road extraction methods showed that the F-score performance of the proposed method was much better than previous methods. View Full-Text
Keywords: missing road; city blocks; topology; big mobile navigation trajectory data missing road; city blocks; topology; big mobile navigation trajectory data
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MDPI and ACS Style

Wu, H.; Xu, Z.; Wu, G. A Novel Method of Missing Road Generation in City Blocks Based on Big Mobile Navigation Trajectory Data. ISPRS Int. J. Geo-Inf. 2019, 8, 142. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi8030142

AMA Style

Wu H, Xu Z, Wu G. A Novel Method of Missing Road Generation in City Blocks Based on Big Mobile Navigation Trajectory Data. ISPRS International Journal of Geo-Information. 2019; 8(3):142. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi8030142

Chicago/Turabian Style

Wu, Hangbin, Zeran Xu, and Guangjun Wu. 2019. "A Novel Method of Missing Road Generation in City Blocks Based on Big Mobile Navigation Trajectory Data" ISPRS International Journal of Geo-Information 8, no. 3: 142. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi8030142

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