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Xuansu Gao, Chengwu Liao, Chao Chen and Ruiyuan Li
Cycling?as a sustainable and convenient exercise and travel mode?has become increasingly popular in modern cities. In recent years, with the proliferation of sport apps and GPS mobile devices in daily life, the accumulated cycling trajectories have opene...
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Gary Reyes, Vivian Estrada, Roberto Tolozano-Benites and Victor Maquilón
The steady increase in data generation by GPS systems poses storage challenges. Previous studies show the need to address trajectory compression. The demand for accuracy and the magnitude of data require effective compression strategies to reduce storage...
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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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Wanbing Huang, Wen Xiong and Xiaoxuan Wang
Trajectory similarity search (TSS) is a common operation for spatiotemporal data analysis. However, the existing TSS methods are mainly focused on GPS trajectories produced by moving objects such as vehicles. Further, these corresponding optimization str...
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Zhengke Liu, Xiaolei Ma, Xiaohan Liu, Gonçalo Homem de Almeida Correia, Ruifeng Shi and Wenlong Shang
Optimizing battery swapping station (BSS) configuration is essential to enhance BSS?s energy savings and economic feasibility, thereby facilitating energy refueling efficiency of electric taxis (ETs). This study proposes a novel modular battery swapping ...
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Iori Sasaki, Masatoshi Arikawa, Min Lu and Ryo Sato
This paper proposes a model-less feedback system driven by tourist tracking data that are automatically collected through mobile applications to visualize the gap between geomedia recommendations and the actual routes selected by tourists. High-frequency...
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Yiliang Wan, Yuwen Fei, Rui Jin, Tao Wu and Xinguang He
The effective extraction of impervious surfaces is critical to monitor their expansion and ensure the sustainable development of cities. Open geographic data can provide a large number of training samples for machine learning methods based on remote-sens...
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Jianing Ding, Xin Jin and Zhiheng Li
The Time-Period-Based Most Frequent Path (TPMFP) problem has been a hot topic in traffic studies for many years. The TPMFP problem involves finding the most frequent path between two locations by observing the travelling behaviors of drivers in a specifi...
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Li Cai, Cong Sha, Jing He and Shaowen Yao
Traffic flows (e.g., the traffic of vehicles, passengers, and bikes) aim to reveal traffic flow phenomena generated by traffic participants in traffic activities. Various studies of traffic flows rely heavily on high-quality traffic data. The taxi GPS tr...
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Soorim Yang, Kyoung-Hwan Kim, Hye-Ryeong Jeong, Seokjun Lee and Jaeho Kim
The COVID-19 pandemic has underscored the necessity for rapid contact tracing as a means to effectively suppress the spread of infectious diseases. Existing contact tracing methods leverage location-based or distance-based detection to identify contact w...
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