Evolutionary clustering of moving objects
The widespread deployment of smartphones, net-worked in-vehicle devices with geo-
positioning capabilities, and vessel tracking technologies renders it feasible to collect the …
positioning capabilities, and vessel tracking technologies renders it feasible to collect the …
A novel ship trajectory clustering method for Finding Overall and Local Features of Ship Trajectories
C Tang, M Chen, J Zhao, T Liu, K Liu, H Yan, Y **ao - Ocean engineering, 2021 - Elsevier
Ship trajectory clustering is one of the main methods of ship trajectory mining based on AIS
data. However, there exist two main problems in trajectory clustering: One is the inherent …
data. However, there exist two main problems in trajectory clustering: One is the inherent …
Real-time distributed co-movement pattern detection on streaming trajectories
With the widespread deployment of mobile devices with positioning capabilities,
increasingly massive volumes of trajectory data are being collected that capture the …
increasingly massive volumes of trajectory data are being collected that capture the …
An efficient and distributed framework for real-time trajectory stream clustering
With the explosive ubiquity of GPS-equipped devices, eg, mobile phones, vehicles, and
vessels, a massive amount of real-time, unbounded, and varying-sampling trajectory …
vessels, a massive amount of real-time, unbounded, and varying-sampling trajectory …
A multi-agent system for solving the dynamic capacitated vehicle routing problem with stochastic customers using trajectory data mining
The worldwide growth of e-commerce has created new challenges for logistics companies,
such as delivering products quickly and cheaply. This paper presents a heuristic to solve the …
such as delivering products quickly and cheaply. This paper presents a heuristic to solve the …
Efficient discovery of traveling companion from evolving trajectory data stream
S Puntheeranurak, TT Shein… - 2018 IEEE 42nd Annual …, 2018 - ieeexplore.ieee.org
Trajectory data stream contain an enormous amount of data about spatial and temporal
information of moving objects. Discovering useful pattern from moving objects can convey …
information of moving objects. Discovering useful pattern from moving objects can convey …
Trajectory Similarity Measurement: An Efficiency Perspective
Trajectories that capture object movement have numerous applications, in which similarity
computation between trajectories often plays a key role. Traditionally, the similarity between …
computation between trajectories often plays a key role. Traditionally, the similarity between …
Parallel grid-based density peak clustering of big trajectory data
X Niu, Y Zheng, P Fournier-Viger, B Wang - Applied Intelligence, 2022 - Springer
With the widespread adoption of data intensive applications such as navigation systems for
mobile devices and unmanned vehicles, analyzing trajectory data has become a key …
mobile devices and unmanned vehicles, analyzing trajectory data has become a key …
Representative Routes Discovery from Massive Trajectories
In this work, we study how to find the k most representative routes over large scale trajectory
data, which is a fundamental operation that benefits various real-world applications, such as …
data, which is a fundamental operation that benefits various real-world applications, such as …
Semantic-aware clustering-based approach of trajectory data stream mining
S Tasnim, J Caldas, N Pissinou… - 2018 International …, 2018 - ieeexplore.ieee.org
The rapid development of mobile sensing technologies (like GPS, RFID, accelerometer,
gyroscope etc. various sensors in smart phones) has caused a rise in the large-scale …
gyroscope etc. various sensors in smart phones) has caused a rise in the large-scale …