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Minshi Liu, Ling Zhang, Yi Long, Yong Sun and Mingwei Zhao
With the rising popularity of portable mobile positioning equipment, the volume of mobile trajectory data is increasing. Therefore, trajectory data compression has become an important basis for trajectory data processing, analysis, and mining. According ...
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Zhen Lei and Ting L. Lei
Geospatial data conflation is the process of identifying and merging the corresponding features in two datasets that represent the same objects in reality. Conflation is needed in a wide range of geospatial analyses, yet it is a difficult task, often con...
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Dong Jiang, Wenji Zhao, Yanhui Wang and Biyu Wan
Traffic congestion is a globally widespread problem that causes significant economic losses, delays, and environmental impacts. Monitoring traffic conditions and analyzing congestion factors are the first, challenging steps in optimizing traffic congesti...
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Yulong Bai, Guolian Li, Tianxiu Lu, Yadong Wu, Weihan Zhang and Yidan Feng
Most existing road network matching algorithms are designed based on previous rules and do not fully utilize the potential of big data and historical tracks. To solve this problem, we introduce a new road network matching algorithm based on deep learning...
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Syed Adil Hussain, Muhammad Umair Hassan, Wajeeha Nasar, Sara Ghorashi, Mona M. Jamjoom, Abdel-Haleem Abdel-Aty, Amna Parveen and Ibrahim A. Hameed
The analysis of individuals? movement behaviors is an important area of research in geographic information sciences, with broad applications in smart mobility and transportation systems. Recent advances in information and communication technologies have ...
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Lin Qu, Yue Zhou, Jiangxin Li, Qiong Yu and Xinguo Jiang
Map matching of trajectory data has wide applications in path planning, traffic flow analysis, and intelligent driving. The process of map matching involves matching GPS trajectory points to roads in a roadway network, thereby converting a trajectory seq...
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Shuxin Jin, Zhouhao Wu, Tong Shen, Di Wang and Ming Cai
Nowadays, the market demand for taxis is still intense. However, there exist lots of issues affecting the healthy development of the taxi industry, such as an increasing difficulty in hailing taxis, detouring behavior etc., and especially, the low income...
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Qingying Yu, Fan Hu, Chuanming Chen, Liping Sun and Xiaoyao Zheng
Numerous Global Positioning System connected vehicles are collecting extensive data remotely in cities, enabling data-driven infrastructure planning. To truly benefit from this emerging technology, it is important to combine telematics and map data to ma...
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Jianxin Qin, Wenjie Yang, Tao Wu, Bin He and Longgang Xiang
GPS trajectory and remote sensing data are crucial for updating urban road networks because they contain critical spatial and temporal information. Existing road network updating methods, whether trajectory-based (TB) or image-based (IB), do not integrat...
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Ching-Yun Mu, Tien-Yin Chou, Thanh Van Hoang, Pin Kung, Yao-Min Fang, Mei-Hsin Chen and Mei-Ling Yeh
Spatial information technology has been widely used for vehicles in general and for fleet management. Many studies have focused on improving vehicle positioning accuracy, although few studies have focused on efficiency improvements for managing large tru...
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