Détail de l'auteur
Auteur Hassan A. Karimi |
Documents disponibles écrits par cet auteur (13)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externesA methodology with a distributed algorithm for large-scale trajectory distribution prediction / QiuLei Guo in International journal of geographical information science IJGIS, Vol 33 n° 3-4 (March - April 2019)
Titre : A methodology with a distributed algorithm for large-scale trajectory distribution prediction Type de document : Article/Communication Auteurs : QiuLei Guo, Auteur ; Hassan A. Karimi, Auteur Année de publication : 2019 Article en page(s) : pp 833 - 854 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] distribution spatiale
[Termes IGN] données massives
[Termes IGN] données spatiotemporelles
[Termes IGN] gestion de trafic
[Termes IGN] migration pendulaire
[Termes IGN] mobilité urbaine
[Termes IGN] New York (Etats-Unis ; ville)
[Termes IGN] Pékin (Chine)
[Termes IGN] population urbaine
[Termes IGN] prédiction
[Termes IGN] trafic urbain
[Termes IGN] trajet (mobilité)Résumé : (Auteur) In this paper, we propose a method for predicting the distributions of people’s trajectories on the road network throughout a city. Specifically, we predict the number of people who will move from one area to another, their probable trajectories, and the corresponding likelihoods of those trajectories in the near future, such as within an hour. With this prediction, we will identify the hot road segments where potential traffic jams might occur and reveal the formation of those traffic jams. Accurate predictions of human trajectories at a city level in real time is challenging due to the uncertainty of people’s spatial and temporal mobility patterns, the complexity of a city level’s road network, and the scale of the data. To address these challenges, this paper proposes a method which includes several major components: (1) a model for predicting movements between neighboring areas, which combines both latent and explicit features that may influence the movements; (2) different methods to estimate corresponding flow trajectory distributions in the road network; (3) a MapReduce-based distributed algorithm to simulate large-scale trajectory distributions under real-time constraints. We conducted two case studies with taxi data collected from Beijing and New York City and systematically evaluated our method. Numéro de notice : A2019-218 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1536981 Date de publication en ligne : 31/10/2018 En ligne : https://doi.org/10.1080/13658816.2018.1536981 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92690
in International journal of geographical information science IJGIS > Vol 33 n° 3-4 (March - April 2019) . - pp 833 - 854[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2019031 RAB Revue Centre de documentation En réserve L003 Disponible 079-2019032 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : A Topology-inferred graph-based heuristic algorithm for map simplification Type de document : Article/Communication Auteurs : QiuLei Guo, Auteur ; Hassan A. Karimi, Auteur Année de publication : 2016 Article en page(s) : pp 775 – 789 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] algorithme de généralisation
[Termes IGN] carte heuristique
[Termes IGN] graphe
[Termes IGN] méthode heuristique
[Termes IGN] polyligne
[Termes IGN] relation topologique
[Termes IGN] temps réel
[Termes IGN] voisinage (relation topologique)
[Vedettes matières IGN] GénéralisationRésumé : (auteur) In this article, we present a heuristic map simplification algorithm based on a novel topology-inferred graph model. Compared with the existing algorithms, which only focus either on geometry simplification or on topological consistency, our algorithm simplifies the map composed of series of polylines and constraint points while maintaining the topological relationships in the map, maximizing the number of removal points, and minimizing error distance efficiently. Unlike some traditional geometry simplification algorithms, such as Douglas and Peucker's, which add points incrementally, we remove points sequentially based on a priority determined by heuristic functions. In the first stage, we build a graph to model the topology of points in the map from which we determine whether a point is removable or not. As map generalization is needed in different applications with different requirements, we present two heuristic functions to determine the priority of points removal for two different purposes: to save storage space and to reduce computation time. The time complexity of our algorithm is math formula which is efficient enough to be considered for real-time applications. Experiments on real maps were conducted and the results indicate that our algorithm produces high quality results; one heuristic function results in higher removal points saving storage space and the other improves the time performance significantly. Numéro de notice : A2016-999 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12188 En ligne : http://dx.doi.org/10.1111/tgis.12188 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83779
in Transactions in GIS > vol 20 n° 5 (October 2016) . - pp 775 – 789[article]
Titre : Simulating and visualizing sidewalk accessibility for wayfinding of people with disabilities Type de document : Article/Communication Auteurs : Mohammadamin Tajgardoon, Auteur ; Hassan A. Karimi, Auteur Année de publication : 2015 Article en page(s) : pp 79 - 93 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] accessibilité
[Termes IGN] calcul d'itinéraire
[Termes IGN] carte de densité de clics
[Termes IGN] handicap
[Termes IGN] piéton
[Termes IGN] simulation
[Termes IGN] trottoirRésumé : (auteur) There are generally different and less wayfinding options for pedestrians than those for drivers. This makes developing models and tools that assist pedestrians in finding routes more challenging. The problem is even further exacerbated when specific routing requirements of people with disabilities are considered. While currently much research is focused on developing solutions for wayfinding of pedestrians, very few address the specific requirements of individuals with disabilities and none is focused on evaluation of the accessibility of built environments. In this paper, we propose a new approach in evaluating the accessibility of built environments for wayfinding of individuals with disabilities. The proposed approach involves simulation and visualization of the accessibility of sidewalk segments allowing urban planners, and other designers and engineers, to gain an understanding of how accessible built environments are and allowing individuals with disabilities to assess the accessibility of built environments with respect to their mobility needs. Simulations were conducted using a sidewalk network database which contains accessibility attributes based on the standards recommended by the Americans with Disabilities Act. To demonstrate the benefits of the proposed approach, a representative model was used to simulate scenarios for the wayfinding requirements at both community and individual levels. The results of the simulations are visualized in heat-maps. Numéro de notice : A2015-403 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2015.1055646 En ligne : https://doi.org/10.1080/23729333.2015.1055646 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76889
in International journal of cartography > vol 1 n° 1 (August 2015) . - pp 79 - 93[article]
Titre : Automatic selection of landmarks for navigation guidance Type de document : Article/Communication Auteurs : Rui Zhu, Auteur ; Hassan A. Karimi, Auteur Année de publication : 2015 Article en page(s) : pp 247 – 261 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] calcul d'itinéraire
[Termes IGN] classification par réseau neuronal
[Termes IGN] entité géographique
[Termes IGN] guidage de véhicules
[Termes IGN] point de repèreRésumé : (auteur) Although current navigation services provide significant benefits to people's mobility, the turn-by-turn instructions they provide are sometimes ineffective. These instructions require people to maintain a high level of attention and cognitive workload while performing distance or angle measurements on their own mental map. To overcome this problem, landmarks have been identified as playing a major role in turn-by-turn instructions. This requires the availability of landmarks in navigation databases. Landmarks are commonly selected manually, which involves time-consuming and tedious tasks. Automatic selection of landmarks has recently gained the attention of researchers but currently there are only a few techniques that can select appropriate landmarks. In this article, we present a technique based on a neural network model, where both static and dynamic features are used for selecting landmarks automatically. To train and test this model, two labeling approaches, manual labeling and rule-based labeling, are also discussed. Experiments on the developed technique were conducted and the results show that rule-based labeling has a precision of approximately 90%, which makes the technique suitable and reliable for automatic selection of landmarks. Numéro de notice : A2015-676 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12095 En ligne : http://dx.doi.org/10.1111/tgis.12095 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78302
in Transactions in GIS > vol 19 n° 2 (April 2015) . - pp 247 – 261[article]
Titre : A comparative analysis of routes generated by Web Mapping APIs Type de document : Article/Communication Auteurs : Monsak Socharoentum, Auteur ; Hassan A. Karimi, Auteur Année de publication : 2015 Article en page(s) : pp 33 - 43 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] analyse comparative
[Termes IGN] Bing Maps
[Termes IGN] calcul d'itinéraire
[Termes IGN] Google Maps
[Termes IGN] interface de programmation
[Termes IGN] web mapping
[Termes IGN] WebSIGRésumé : (auteur) Web Mapping APIs (WMAs), such as Google Maps API, are widely used by researchers across different fields to develop geospatial Web applications. Among maps and map functionalities provided through WMAs, route and direction are prominent and commonly available. Given that each WMA uses a different map database and a different set of assumptions, the routes they generate, for the same pairs of origin and destination addresses, are different. Considering the current void in literature on WMAs and the routes they generate, in this paper, select common WMAs are compared and analyzed based on their routing techniques. The results of these comparisons will benefit researchers by helping them better understand the behavior of WMAs in producing routes, which in turn can be used for selecting suitable WMAs for research projects or developing applications (such as navigation and location-based services). The process in which routes are evaluated can also be used as a guideline to help researchers explore behavior of WMAs in generating routes. Numéro de notice : A2015-232 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2014.976656 En ligne : https://doi.org/10.1080/15230406.2014.976656 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76224
in Cartography and Geographic Information Science > Vol 42 n° 1 (January 2015) . - pp 33 - 43[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-2015011 RAB Revue Centre de documentation En réserve L003 Disponible PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalink
