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
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. https://doi.org/10.32604/jcs.2020.010625