Trajectory data mining: an overview

Y Zheng - ACM Transactions on Intelligent Systems and …, 2015 - dl.acm.org
The advances in location-acquisition and mobile computing techniques have generated
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …

Spatiotemporal data mining: A computational perspective

S Shekhar, Z Jiang, RY Ali, E Eftelioglu, X Tang… - … International Journal of …, 2015 - mdpi.com
Explosive growth in geospatial and temporal data as well as the emergence of new
technologies emphasize the need for automated discovery of spatiotemporal knowledge …

Crowd sensing of traffic anomalies based on human mobility and social media

B Pan, Y Zheng, D Wilkie, C Shahabi - Proceedings of the 21st ACM …, 2013 - dl.acm.org
The advances in mobile computing and social networking services enable people to probe
the dynamics of a city. In this paper, we address the problem of detecting and describing …

Prediction of urban human mobility using large-scale taxi traces and its applications

X Li, G Pan, Z Wu, G Qi, S Li, D Zhang, W Zhang… - Frontiers of computer …, 2012 - Springer
This paper investigates human mobility patterns in an urban taxi transportation system. This
work focuses on predicting humanmobility fromdiscovering patterns of in the number of …

From taxi GPS traces to social and community dynamics: A survey

PS Castro, D Zhang, C Chen, S Li, G Pan - ACM Computing Surveys …, 2013 - dl.acm.org
Vehicles equipped with GPS localizers are an important sensory device for examining
people's movements and activities. Taxis equipped with GPS localizers serve the …

Land-use classification using taxi GPS traces

G Pan, G Qi, Z Wu, D Zhang, S Li - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Detailed land use, which is difficult to obtain, is an integral part of urban planning. Currently,
GPS traces of vehicles are becoming readily available. It conveys human mobility and …

Inferring trip purposes and uncovering travel patterns from taxi trajectory data

L Gong, X Liu, L Wu, Y Liu - Cartography and Geographic …, 2016 - Taylor & Francis
Global positioning system-enabled vehicles provide an efficient way to obtain large
quantities of movement data for individuals. However, the raw data usually lack activity …

LoTAD: Long-term traffic anomaly detection based on crowdsourced bus trajectory data

X Kong, X Song, F **a, H Guo, J Wang, A Tolba - World Wide Web, 2018 - Springer
As the development of crowdsourcing technique, acquiring amounts of data in urban cities
becomes possible and reliable, which makes it possible to mine useful and significant …

Hyperspectral anomaly detection with kernel isolation forest

S Li, K Zhang, P Duan, X Kang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this article, a novel hyperspectral anomaly detection method with kernel Isolation Forest
(iForest) is proposed. The method is based on an assumption that anomalies rather than …

Trace analysis and mining for smart cities: issues, methods, and applications

G Pan, G Qi, W Zhang, S Li, Z Wu… - IEEE Communications …, 2013 - ieeexplore.ieee.org
Traces of moving objects in a city, which depict lots of semantics concerning human mobility
and city dynamics, are becoming increasingly important. In this article, we first give a brief …