Mining crowdsourced trajectory and geo‐tagged data for spatial‐semantic road map construction
Mining crowdsourced trajectory and geo‐tagged data for spatial‐semantic road map construction
复制标题
挖掘众包轨迹和地理标记数据以构建空间语义路线图
DOI：
10.1111/tgis.12879
复制
发表时间：
2021-12
影响因子：
2.4
通讯作者：
He Zhengbing
中科院分区：
文献类型：
--
作者：
Huang Jincai;Zhang Yunfei;Deng Min;He Zhengbing
The road map is a fundamental part of a spatial data infrastructure (SDI), and is widely applied in navigation, smart transportation, and mobile location services. Recently, with the ubiquity of positioning devices, crowdsourced trajectories have become a significant data resource for road map construction and updating. However, existing trajectory‐based methods mainly place emphasis on extracting road geometry features and may ignore continuous updating of road semantic information. Hence, we propose a divide‐and‐conquer method to construct a spatial‐semantic road map by incorporating multiple data sources (e.g., crowdsourced trajectories and geo‐tagged data). The proposed method divides road map construction into two sub‐tasks, road structure reconstruction and road attributes inference. The road structure reconstruction process starts to partition raw trajectory data into different cliques of roadways and road intersections, and then extracts various targeted road structures by analyzing the turning modes in different trajectory cliques. The road attributes inference process aims to infer three pieces of crucial semantic information about road speeds, turning rules, and road names from crowdsourced trajectories and geo‐tagged data. The case studies in Wuhan were examined to illustrate that the proposed method can construct a routable road map with enhanced geometric structures and rich semantic information, providing a beneficial data solution for car navigation and SDI update.
登录
查看更多内容
影响因子：
13.5
作者：
Yin Wang;Xuemei Liu;Hong Wei;George Forman;Yanmin Zhu
通讯作者：
Yin Wang;Xuemei Liu;Hong Wei;George Forman;Yanmin Zhu
DOI：
10.1016/j.compenvurbsys.2017.09.005
发表时间：
2017-09
期刊：
Comput. Environ. Urban Syst.
影响因子：
--
作者：
M. M. Organero-M.;Ramona Ruiz-Blazquez;Luis Sánchez-Fernández
通讯作者：
M. M. Organero-M.;Ramona Ruiz-Blazquez;Luis Sánchez-Fernández
DOI：
10.1145/2820783.2820833
发表时间：
2015-11
期刊：
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems
影响因子：
--
作者：
Suyi Wang;Yusu Wang;Yanjie Li
通讯作者：
Suyi Wang;Yusu Wang;Yanjie Li
DOI：
10.1016/j.trc.2016.09.010
发表时间：
2016-11
影响因子：
8.3
作者：
Xingzhe Xie;K. Wong;H. Aghajan;P. Veelaert;W. Philips
通讯作者：
Xingzhe Xie;K. Wong;H. Aghajan;P. Veelaert;W. Philips
DOI：
10.1016/j.trc.2020.01.023
发表时间：
2020-03
期刊：
Transportation Research Part C: Emerging Technologies
影响因子：
--
作者：
Jingru Yu;M. Stettler;Panagiotis Angeloudis;Simon Hu;X. Chen
通讯作者：
Jingru Yu;M. Stettler;Panagiotis Angeloudis;Simon Hu;X. Chen