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Open Access

ARTICLE

Extracting Campus’ Road Network from Walking GPS Trajectories

Yizhi Liu, Rutian Qing, Jianxun Liu*, Zhuhua Liao, Yijiang Zhao, Hong Ouyang
Key Laboratory of Knowledge Processing and Networked Manufacturing in Hunan Province, Hunan University of Science and Technology, Xiangtan, 411201, China.
* Corresponding Author: Jianxun Liu. Email:

Journal of Cyber Security 2020, 2(3), 131-140. https://doi.org/10.32604/jcs.2020.010625

Received 14 March 2020; Accepted 25 June 2020; Issue published 14 September 2020

Abstract

Road network extraction is vital to both vehicle navigation and road planning. Existing approaches focus on mining urban trunk roads from GPS trajectories of floating cars. However, path extraction, which plays an important role in earthquake relief and village tour, is always ignored. Addressing this issue, we propose a novel approach of extracting campus’ road network from walking GPS trajectories. It consists of data preprocessing and road centerline generation. The patrolling GPS trajectories, collected at Hunan University of Science and Technology, were used as the experimental data. The experimental evaluation results show that our approach is able to effectively and accurately extract both campus’ trunk roads and paths. The coverage rate is 96.21% while the error rate is 3.26%.

Keywords

Trajectory data mining; Location-Based Services (LBS); road network extraction; path extraction; walking GPS trajectories

Cite This Article

Y. Liu, R. Qing, J. Liu, Z. Liao, Y. Zhao et al., "Extracting campus’ road network from walking gps trajectories," Journal of Cyber Security, vol. 2, no.3, pp. 131–140, 2020.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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