Location prediction on trajectory data: A review

R Wu, G Luo, J Shao, L Tian… - Big data mining and …, 2018 - ieeexplore.ieee.org
Location prediction is the key technique in many location based services including route
navigation, dining location recommendations, and traffic planning and control, to mention a …

Compression of GNSS data with the aim of speeding up communication to autonomous vehicles

A Rakhmanov, Y Wiseman - Remote Sensing, 2023 - mdpi.com
Autonomous vehicles contain many sensors, enabling them to drive by themselves.
Autonomous vehicles need to communicate with other vehicles (V2V) wirelessly and with …

Compression of trajectory data: a comprehensive evaluation and new approach

J Muckell, PW Olsen, JH Hwang, CT Lawson, SS Ravi - GeoInformatica, 2014 - Springer
GPS-equipped mobile devices such as smart phones and in-car navigation units are
collecting enormous amounts of spatial and temporal information that traces a moving …

TRACE: Real-time compression of streaming trajectories in road networks

T Li, L Chen, CS Jensen, TB Pedersen - Proceedings of the VLDB …, 2021 - vbn.aau.dk
The deployment of vehicle location services generates increasingly massive vehicle
trajectory data, which incurs high storage and transmission costs. A range of studies target …

Adaptive douglas-peucker algorithm with automatic thresholding for AIS-based vessel trajectory compression

J Liu, H Li, Z Yang, K Wu, Y Liu, RW Liu - IEEE Access, 2019 - ieeexplore.ieee.org
Automatic identification system (AIS) is an important part of perfecting terrestrial networks,
radar systems and satellite constellations. It has been widely used in vessel traffic service …

Direction-preserving trajectory simplification

C Long, RCW Wong, HV Jagadish - Proceedings of the VLDB …, 2013 - dl.acm.org
Trajectories of moving objects are collected in many applications. Raw trajectory data is
typically very large, and has to be simplified before use. In this paper, we introduce the …

Rest: A reference-based framework for spatio-temporal trajectory compression

Y Zhao, S Shang, Y Wang, B Zheng… - Proceedings of the 24th …, 2018 - dl.acm.org
The pervasiveness of GPS-enabled devices and wireless communication technologies
results in massive trajectory data, incurring expensive cost for storage, transmission, and …

Trajectory simplification: an experimental study and quality analysis

D Zhang, M Ding, D Yang, Y Liu, J Fan… - Proceedings of the VLDB …, 2018 - dl.acm.org
The ubiquitousness of GPS sensors in smart-phones, vehicles and wearable devices has
enabled the collection of massive volumes of trajectory data from tracing moving objects …

An online method for ship trajectory compression using AIS data

Z Liu, W Yuan, M Liang, M Zhang, C Liu… - The Journal of …, 2024 - cambridge.org
Vessel trajectories from the Automatic Identification System (AIS) play an important role in
maritime traffic management, but a drawback is the huge amount of memory occupation …

[HTML][HTML] Incorporation of adaptive compression into a GPU parallel computing framework for analyzing large-scale vessel trajectories

Y Li, H Li, C Zhang, Y Zhao, Z Yang - Transportation Research Part C …, 2024 - Elsevier
Abstract Automatic Identification System (AIS) offers a wealth of vessel navigation data,
which underpins research in maritime data mining, situational awareness, and knowledge …