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Improving human mobility identification with trajectory augmentation / Fan Zhou in Geoinformatica, vol 25 n° 3 (July 2021)  

Public [article]  inGeoinformatica > vol 25 n° 3 (July 2021) . - pp 453 - 483 Titre : Improving human mobility identification with trajectory augmentation Type de document : Article/Communication Auteurs : Fan Zhou, Auteur ; Ruiyang Yin, Auteur ; Goce Trajcevski, Auteur ; Kunpeng Zhang, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 453 - 483 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] itinéraire [Termes IGN] mobilité humaine [Termes IGN] modèle numérique de déplacement [Termes IGN] réseau antagoniste génératif [Termes IGN] réseau neuronal convolutif [Termes IGN] réseau neuronal récurrent [Termes IGN] utilisateur Résumé : (auteur) Many location-based social networks (LBSNs) applications such as customized Point-Of-Interest (POI) recommendation, preference-based trip planning, travel time estimation, etc., involve an important task of understanding human trajectory patterns. In particular, identifying and linking trajectories to users who generate them – a problem called Trajectory-User Linking (TUL) – has become a focus of many recent works. TUL is usually studied as a multi-class classification problem and has gained recent attention because: (1) the number of labels/classes (i.e., users) is way larger than the number of motion patterns among various trajectories; and (2) the location-based trajectory data, especially the check-ins – i.e., events of reporting a location at particular Point of Interest (POI) with known semantics – are often extremely sparse. Towards addressing these challenges, we introduce a Trajectory Generative Adversarial Network (TGAN) as an approach to enable learning users motion patterns and location distribution, and to eventually identify human mobility. TGAN consists of two jointly trained neural networks, playing a Minimax game to (iteratively) optimize both components. The first one is the generator, learning trajectory representation by a Recurrent Neural Network (RNN) based model, aiming at fitting the underlying trajectory distribution of a particular individual and generate synthetic trajectories with intrinsic invariance and global coherence. The second one is the discriminator – a Convolutional Neural Network (CNN) based model that discriminates the generated trajectory from the real ones and provides guidance to train the generator model. We demonstrate that the above two models can be well tuned together to improve the TUL performance, while achieving superior accuracy when compared to existing approaches. Numéro de notice : A2021-972 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-019-00378-7 Date de publication en ligne : 29/08/2019 En ligne : https://doi.org/10.1007/s10707-019-00378-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100390 [article]

Decentralized detection and monitoring of convoy patterns / Jeremy Yeoman in International journal of geographical information science IJGIS, vol 30 n° 5-6 (May - June 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 5-6 (May - June 2016) . - pp 993 - 1011 Titre : Decentralized detection and monitoring of convoy patterns Type de document : Article/Communication Auteurs : Jeremy Yeoman, Auteur ; Matt Duckham, Auteur Année de publication : 2016 Article en page(s) : pp 993 - 1011 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] capteur actif [Termes IGN] migration animale [Termes IGN] modèle numérique de déplacement Mots-clés libres : decentralized spatial computing  movement patterns  movement data  convoys  flocks Résumé : (Auteur) This article describes research into the design and analysis of decentralized algorithms for computing convoy patterns (a density-based movement pattern amongst moving point objects, previously formalized and computed in a centralized manner). A series of decentralized algorithms are presented and discussed (naïve, tree-based, and further devolved reactive approaches) for mobile geosensor nodes to share the necessary information to enable in-network detection and monitoring of convoys; these approaches require neither centralized control nor quantitative positioning. Empirical evaluation of algorithm characteristics and performance (via simulation experiments with synthetic and real movement data) demonstrate algorithm efficiency and effectiveness (with various strategies to structure information flow and devolve decision-making considerably improving communication efficiency). Numéro de notice : A2016-292 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1098651 En ligne : https://doi.org/10.1080/13658816.2015.1098651 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80871 [article]

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079-2016031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Trajectory Box Plot: a new pattern to summarize movements / Laurent Etienne in International journal of geographical information science IJGIS, vol 30 n° 5-6 (May - June 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 5-6 (May - June 2016) . - pp 835 - 853 Titre : Trajectory Box Plot: a new pattern to summarize movements Type de document : Article/Communication Auteurs : Laurent Etienne, Auteur ; Thomas Devogele , Auteur ; M. Buchin, Auteur ; Gavin McArdle, Auteur Année de publication : 2016 Article en page(s) : pp 835 - 853 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatio-temporelle [Termes IGN] boîte à moustaches [Termes IGN] calcul d'itinéraire [Termes IGN] distance de Fréchet [Termes IGN] modèle numérique de déplacement [Termes IGN] objet mobile [Termes IGN] trajet (mobilité) Résumé : (Auteur) Nowadays, an abundance of sensors are used to collect very large datasets of moving objects. The movement of these objects can be analysed by identifying common routes. For this, a cluster of trajectories must be defined and the pattern of each cluster discovered. In this article, we introduce a new pattern, called the Trajectory Box Plot (TBP), to summarize a set of trajectories following the same route. The TBP is an extension of the well-known descriptive statistics Box Plot concept. Each TBP is described by a median trajectory, a 3D box and a 3D fence. The median trajectory depicts the typical movement of mobile objects. The box and the fences (whiskers) describe the spatial and temporal spreading around the central tendency. TBPs are useful to summarize and analyse trajectory streams, understand their spatio-temporal density and detect outliers. In this article, visual analysis highlights how the TBP pattern effectively describes how the density of trajectory clusters change over time. Numéro de notice : A2016-285 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1081205 En ligne : https://doi.org/10.1080/13658816.2015.1081205 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80864 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2016032	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-2016031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A temporal-contextual analysis of urban dynamics using location-based data / A. Yair Grinberger in International journal of geographical information science IJGIS, vol 29 n° 11 (November 2015)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 29 n° 11 (November 2015) . - pp 1969 - 1987 Titre : A temporal-contextual analysis of urban dynamics using location-based data Type de document : Article/Communication Auteurs : A. Yair Grinberger, Auteur ; Noam Shoval, Auteur Année de publication : 2015 Article en page(s) : pp 1969 - 1987 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatio-temporelle [Termes IGN] dynamique spatiale [Termes IGN] enrichissement sémantique [Termes IGN] information sémantique [Termes IGN] itinéraire [Termes IGN] Jérusalem [Termes IGN] mobilité urbaine [Termes IGN] modèle numérique de déplacement [Termes IGN] positionnement par GPS [Termes IGN] prise en compte du contexte [Termes IGN] trace numérique [Termes IGN] zone urbaine Résumé : (Auteur) The dynamics of urban activities in Jerusalem were studied by analyzing a large-scale semantically rich movement dataset. The semantic enrichment process was based on coupling movement trajectories sampled by GPS loggers with contextual data derived from trajectory-based digital activity dairies. Although the utility of such procedures in generating trajectory-specific semantic data was noted before, their application stays limited. In this paper, we promote the utilization of these procedures by demonstrating that they are not only feasible but also important for mobility studies. We discuss the characteristics of the semantic enrichment process and the manner by which it was applied within the large-scale analysis of urban dynamics. This application uncovered a time- and context-dependent array of centers in Jerusalem, resulting in a semantically rich characterization of urban dynamics. Such characterization provides otherwise unobtainable insights crucial for urban analysis. Wider implications for movement studies may be derived, as this application demonstrates how diary-based enrichment approaches hold the potential to advance bridging the semantic gap in mobility research. Numéro de notice : A2015-615 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1049951 En ligne : https://doi.org/10.1080/13658816.2015.1049951 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78082 [article]

Tracking bats movements / Vivian Raiborde in GIM international, vol 29 n° 10 (October 2015)

Public [article]  inGIM international > vol 29 n° 10 (October 2015) . - pp 26 - 29 Titre : Tracking bats movements Type de document : Article/Communication Auteurs : Vivian Raiborde, Auteur ; Frédéric Jehan, Auteur ; Hippolyte Pouchelle, Auteur Année de publication : 2015 Article en page(s) : pp 26 - 29 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] base de données d'objets mobiles [Termes IGN] capteur ultrasonore [Termes IGN] Chiroptera [Termes IGN] géopositionnement [Termes IGN] migration animale [Termes IGN] modèle numérique de déplacement [Termes IGN] reconstruction 3D [Termes IGN] surveillance écologique [Termes IGN] système d'information géographique Résumé : (auteur) Bats are useful animais in our ecosystem and are protected by certain EU directives. Man-made objects such as roads, railways and wind turbines may obstruct their natural flight paths. It is possible to analyse these flight paths by recording the ultrasounds emitted by bats. Using multiple microphones, the time difference in signal arrivai can be used to reconstruct a bat's 3D position. As this is a common positioning technique in the geospatial world, GIS tools have been used to implement bat tracking in a project in France. Numéro de notice : A2015-660 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78268 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
061-2015101	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Formalisation des interactions spatiales dans les modèles multi-agents. Essai d’analyse comparative / Hélène Mathian in Revue internationale de géomatique, vol 25 n° 3 (septembre - novembre 2015)  

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Trajectoires d’objets mobiles dans un espace support fixe / Elodie Buard in Revue internationale de géomatique, vol 25 n° 3 (septembre - novembre 2015)  

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