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 …

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 …

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 …

Online anomalous trajectory detection with deep generative sequence modeling

Y Liu, K Zhao, G Cong, Z Bao - 2020 IEEE 36th International …, 2020 - ieeexplore.ieee.org
Detecting anomalous trajectory has become an important and fundamental concern in many
real-world applications. However, most of the existing studies 1) cannot handle the …

iBOAT: Isolation-based online anomalous trajectory detection

C Chen, D Zhang, PS Castro, N Li… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
Trajectories obtained from Global Position System (GPS)-enabled taxis grant us an
opportunity not only to extract meaningful statistics, dynamics, and behaviors about certain …

Urban anomaly analytics: Description, detection, and prediction

M Zhang, T Li, Y Yu, Y Li, P Hui… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Urban anomalies may result in loss of life or property if not handled properly. Automatically
alerting anomalies in their early stage or even predicting anomalies before happening is of …

FraudTrip: Taxi fraudulent trip detection from corresponding trajectories

Y Ding, W Zhang, X Zhou, Q Liao… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
A passenger is overcharged by the taxi driver is one common type of fraudulent trip, and it
brings negative impacts to modern cities. Most existing fraudulent trip detection works rely …

Detecting anomalous trajectories and behavior patterns using hierarchical clustering from taxi GPS data

Y Wang, K Qin, Y Chen, P Zhao - ISPRS International Journal of Geo …, 2018 - mdpi.com
Anomalous taxi trajectories are those chosen by a small number of drivers that are different
from the regular choices of other drivers. These anomalous driving trajectories provide us an …

A two-phase anomaly detection model for secure intelligent transportation ride-hailing trajectories

A Belhadi, Y Djenouri, G Srivastava… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
This paper addresses the taxi fraud problem and introduces a new solution to identify
trajectory outliers. The approach as presented allows to identify both individual and group …

DeepTEA: Effective and efficient online time-dependent trajectory outlier detection

X Han, R Cheng, C Ma, T Grubenmann - Proceedings of the VLDB …, 2022 - dl.acm.org
In this paper, we study anomalous trajectory detection, which aims to extract abnormal
movements of vehicles on the roads. This important problem, which facilitates understanding …