Results 21 to 30 of about 1,130,670 (289)
W-trace: robust and effective watermarking for GPS trajectories [PDF]
With the rise of data-driven methods for traffic forecasting, accident prediction, and profiling driving behavior, personal GPS trajectory data has become an essential asset for businesses and emerging data markets.
Rajjat Dadwal +3 more
semanticscholar +1 more source
Compression of GPS Trajectories Using Autoencoders
The ubiquitous availability of mobile devices capable of location tracking led to a significant rise in the collection of GPS data. Several compression methods have been developed in order to reduce the amount of storage needed while keeping the important information. In this paper, we present an lstm-autoencoder based approach in order to compress and
Michael Kölle 0001 +5 more
openaire +2 more sources
Compression of GPS Trajectories [PDF]
Enormous amounts of GPS trajectories, which record users' spatial and temporal information, are collected by geo-positioning mobile phones in recent years. The massive volumes of trajectory data bring about heavy burdens for both network transmission and data storage. To overcome these difficulties, a number of compression algorithms have been proposed
Minjie Chen, Mantao Xu, Pasi Fränti
openaire +1 more source
Rotation invariant GPS trajectory mining
AbstractMining of GPS trajectories of moving vehicles and devices can provide valuable insights into urban systems, planning and operational applications. Understanding object motion often requires that the spatial-temporal matching of trajectories be invariant to shifting, scaling and rotation. To this end, Procrustes analysis enables to transform one
Maximilian Leodolter +2 more
openaire +1 more source
Background Several European countries face a shortage of general practitioners (GPs), in part due to GP attrition. Most studies of GP attrition have focussed on why GPs decide to leave. Yet understanding why GPs decide to remain may also elicit potential
Anne-Laure Lenoir +6 more
doaj +1 more source
Analysis of human mobility patterns from GPS trajectories and contextual information
Urška Demsar, Taylor Oshan, Jed Long
exaly +2 more sources
Trajectory Clustering for People's Movement Pattern Based on Crowd Souring Data [PDF]
With the increasing availability of GPS-enabled devices, a huge amount of GPS trajectories recording people's location traces have been accumulated and shared freely on the Web.
J. Chen, T. Hu, P. Zhang, W. Shi
doaj +1 more source
Over the years, researchers have been studying the effects of weather and context data on transport mode choices. Existing research studies are predominantly designed around travel surveys, but the accuracy of their findings relies on how travelers give ...
Timothy Otim +3 more
semanticscholar +1 more source
CROWDSOURCING BIG TRACE DATA FILTERING: A PARTITION-AND-FILTER MODEL [PDF]
GPS traces collected via crowdsourcing way are low-cost and informative and being as a kind of new big data source for urban geographic information extraction.
X. Yang, L. Tang
doaj +1 more source
An Algorithmic Approach to Quantifying GPS Trajectory Error
IEEE/CVF International Conference on Computer Vision (ICCV) Workshops 2021, Oct. 11-17, 2021 [Held Virtually]
Plaudis, Matthew +4 more
openaire +2 more sources

