Results 11 to 20 of about 13,128 (278)
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
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Discovering Corridors From GPS Trajectories
The increasing pervasiveness of GPS-enabled devices results in the collection of massive trajectories datasets. The vast amount of the generated location data is particularly difficult to be processed, interpreted and analyzed, due to its complexity. Nevertheless, in many cases a considerable number of moving objects share common paths and their whole ...
Nikolaos Zygouras, Dimitrios Gunopulos
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Trip Purpose Imputation Using GPS Trajectories with Machine Learning
We studied trip purpose imputation using data mining and machine learning techniques based on a dataset of GPS-based trajectories gathered in Switzerland.
Qinggang Gao +2 more
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Using GPS Trajectories to Adaptively Plan Bus Lanes
Since bus prioritization policies can help mitigate urban traffic jams, the planning of bus lanes has drawn considerable attention. Existing methods suffer from a common limitation, which is that the limited spatial adaptability resulting from certain ...
Yanjie Sun, Mingguang Wu, Huien Li
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In this paper, we propose a novel approach for mining lane-level road network information from low-precision vehicle GPS trajectories (MLIT), which includes the number and turn rules of traffic lanes based on naïve Bayesian classification.
Luliang Tang +3 more
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Digital roads are a crucial component of smart city development and sustainable urban development, being one of the fundamental geographic elements. Remote sensing images and GPS trajectories are two important data sources for obtaining road information,
Yongyang Xu +4 more
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Semantic Enrichment of GPS Trajectories [PDF]
Semantic annotation of GPS trajectories helps us to recognize the interests of the creator of the GPS trajectories. Automating this trajectory annotation circumvents the requirement of additional user input. To annotate the GPS traces automatically, two types of automated input are required: 1) a collection of possible annotations, and 2) a collection ...
de Graaff, V. +2 more
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Estimating Road Segments Using Kernelized Averaging of GPS Trajectories
A method called iTEKA, which stands for iterative time elastic kernel averaging, was successfully used for averaging time series. In this paper, we adapt it to GPS trajectories. The key contribution is a denoising procedure that includes an over-sampling
Pierre-François Marteau
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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
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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
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