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Compressing AIS trajectory data based on the multi-objective peak Douglas–Peucker algorithm
Z Zhou, Y Zhang, X Yuan, H Wang - IEEE Access, 2023 - ieeexplore.ieee.org
The automatic identification system (AIS) provides a massive database for ocean science.
The original AIS data are redundant. Direct use will cause a waste of data storage space …
The original AIS data are redundant. Direct use will cause a waste of data storage space …
Vessel Trajectory Data Compression Algorithm considering Critical Region Identification
X Zhang, S Zhou - Journal of Advanced Transportation, 2023 - Wiley Online Library
Vessel trajectory data are currently the most important data source for vessel trajectory data
mining research. However, vessel AIS data have a short sampling time interval and a large …
mining research. However, vessel AIS data have a short sampling time interval and a large …
[HTML][HTML] An adaptive trajectory compression and feature preservation method for maritime traffic analysis
Ship trajectory data extracted from Automatic Identification System (AIS) has been
extensively used for maritime traffic analysis. Yet the enormous volume of AIS data has …
extensively used for maritime traffic analysis. Yet the enormous volume of AIS data has …
Open source map matching with Markov decision processes: A new method and a detailed benchmark with existing approaches
A Wöltche - Transactions in GIS, 2023 - Wiley Online Library
Map matching is a widely used technology for map** tracks to road networks. Typically,
tracks are recorded using publicly available Global Navigation Satellite Systems, and road …
tracks are recorded using publicly available Global Navigation Satellite Systems, and road …
Trajectory Compression with Spatio-Temporal Semantic Constraints
Y Zhou, Y Zhang, F Zhang, Y Zhang… - … International Journal of …, 2024 - mdpi.com
Most trajectory compression methods primarily focus on geometric similarity between
compressed and original trajectories, lacking explainability of compression results due to …
compressed and original trajectories, lacking explainability of compression results due to …
[HTML][HTML] A Novel Context-Aware Douglas–Peucker (CADP) Trajectory Compression Method
Most traditional trajectory compression methods, such as the Douglas–Peucker (DP)
method, consider only spatial characteristics and disregard contextual factors, including …
method, consider only spatial characteristics and disregard contextual factors, including …
Research on ship trajectory compression based on a Dynamic Programming algorithm
The Automatic Identification System (AIS) is extensively used in monitoring vessel traffic, and
ship navigation related information can be obtained from the AIS data. However, AIS data …
ship navigation related information can be obtained from the AIS data. However, AIS data …
[HTML][HTML] An Improved BLG Tree for Trajectory Compression with Constraints of Road Networks
M Liu, L Zhang, Y Long, Y Sun, M Zhao - ISPRS International Journal of …, 2023 - mdpi.com
With the rising popularity of portable mobile positioning equipment, the volume of mobile
trajectory data is increasing. Therefore, trajectory data compression has become an …
trajectory data is increasing. Therefore, trajectory data compression has become an …
Algorithm for Trajectory Simplification Based on Multi-Point Construction in Preselected Area and Noise Smoothing Processing
S Huang, Z Yang - Data, 2024 - search.proquest.com
Simplifying trajectory data can improve the efficiency of trajectory data analysis and query
and reduce the communication cost and computational overhead of trajectory data. In this …
and reduce the communication cost and computational overhead of trajectory data. In this …
Deep Learning-Based Outliers Detection in Compressed Trajectories
Y Chabchoub, ML Puzzo - International Conference on Risks and Security …, 2023 - Springer
Nowadays anomalous trajectory detection has a prominent place in many real-world
applications. In this paper, firstly, we have proposed a comparison between two Deep …
applications. In this paper, firstly, we have proposed a comparison between two Deep …