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Collaborative web-GIS design: a case study for road risk analysis and monitoring / Francesco Pirotti in Transactions in GIS, vol 15 n° 2 (April 2011)
[article]
Titre : Collaborative web-GIS design: a case study for road risk analysis and monitoring Type de document : Article/Communication Auteurs : Francesco Pirotti, Auteur ; A. Guarnieri, Auteur ; Antonio Vettore, Auteur Année de publication : 2011 Article en page(s) : pp 213 - 226 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] accident de la route
[Termes IGN] approche participative
[Termes IGN] portail
[Termes IGN] requête spatiale
[Termes IGN] sécurité routière
[Termes IGN] service web géographique
[Termes IGN] SQL
[Termes IGN] temps réel
[Termes IGN] trafic routier
[Termes IGN] WebSIG
[Termes IGN] zone à risqueRésumé : (Auteur) This article presents a methodology for designing a WebGIS framework intended for automatically analyzing spatial data and updating statistics of interest with new information inserted daily by multiple users via a Web portal. A practical example is used on vehicle accident data for assessing risk in specific road segments. Two main blocks integrated together will be described: the collaborative block and the data-analysis block. The former gives end-users computer-aided tools to view, insert, modify and manage data related to accidents and traffic monitoring sensors, whereas the latter is developed to automatically analyze the accident data coming from user's collaboration. Because different agencies can survey accident sites, a collaborative environment is necessary – and a Web-based solution is ideal – for permitting multi-user access and data insertion. A centralized approach to process the data in real time is described in all its components. Server-side Structured Query Language functions optimize performance by using dedicated libraries for spatial processing and re-structuring the attributes associated with elements which are consequently re-classified for correct color-scaling. The end-product is a system that provides a seamless integration of front-end tools for user collaboration and back-end tools to update accident risk statistics in real time and provide them to stakeholders. Numéro de notice : A2011-106 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2011.01248.x Date de publication en ligne : 04/04/2011 En ligne : https://doi.org/10.1111/j.1467-9671.2011.01248.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30886
in Transactions in GIS > vol 15 n° 2 (April 2011) . - pp 213 - 226[article]Managing sensor traffic data and forecasting unusual behaviour propagation / C. Bauzer Medeiros in Geoinformatica, vol 14 n° 3 (July 2010)
[article]
Titre : Managing sensor traffic data and forecasting unusual behaviour propagation Type de document : Article/Communication Auteurs : C. Bauzer Medeiros, Auteur ; M. Joliveau, Auteur ; Geneviève Jomier, Auteur ; F. De Vuyst, Auteur Année de publication : 2010 Article en page(s) : pp 279 - 305 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] base de données spatiotemporelles
[Termes IGN] comportement
[Termes IGN] données multicapteurs
[Termes IGN] réseau de capteurs
[Termes IGN] trafic routier
[Termes IGN] traitement de données localiséesRésumé : (Auteur) Sensor data on traffic events have prompted a wide range of research issues, related with the so-called ITS (Intelligent Transportation Systems). Data are delivered for both static (fixed) and mobile (embedded) sensors, generating large and complex spatio-temporal series. This scenario presents several research challenges, in spatio-temporal data management and data analysis. Management issues involve, for instance, data cleaning and data fusion to support queries at distinct spatial and temporal granularities. Analysis issues include the characterization of traffic behavior for given space and/or time windows, and detection of anomalous behavior (either due to sensor malfunction, or to traffic events). This paper contributes to the solution of some of these issues through a new kind of framework to manage static sensor data. Our work is based on combining research on analytical methods to process sensor data, and data management strategies to query these data. The first aspect is geared towards supporting pattern matching. This leads to a model to study and predict unusual traffic behavior along an urban road network. The second aspect deals with spatio-temporal database issues, taking into account information produced by the model. This allows distinct granularities and modalities of analysis of sensor data in space and time. This work was conducted within a project that uses real data, with tests conducted on 1,000 sensors, during 3 years, in a large French city. Copyright Springer Numéro de notice : A2010-102 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : 10.1007/s10707-010-0102-7 Date de publication en ligne : 28/01/2010 En ligne : https://doi.org/10.1007/s10707-010-0102-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30298
in Geoinformatica > vol 14 n° 3 (July 2010) . - pp 279 - 305[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-2010031 RAB Revue Centre de documentation En réserve L003 Disponible GIS for building and managing infrastructure / Environmental Systems Research Institute ESRI (2010)
Titre : GIS for building and managing infrastructure Type de document : Monographie Auteurs : Environmental Systems Research Institute ESRI, Auteur Editeur : Redlands [Californie - Etats-Unis] : ESRI Press [Environmental Systems Research Institute] Année de publication : 2010 Importance : 65 p. Format : 25 x 28 cm ISBN/ISSN/EAN : 978-1-58948-252-4 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] Afrique (géographie politique)
[Termes IGN] ArcGIS
[Termes IGN] carte d'occupation du sol
[Termes IGN] carte géologique
[Termes IGN] Etats-Unis
[Termes IGN] mobilité urbaine
[Termes IGN] système d'information géographique
[Termes IGN] trafic routierRésumé : (Editeur) This book presents a collection of maps that showcases how GIS can be implemented to help develop, manage, and present infrastructure projects. This book demonstrates how GIS can aid processes and promote transparency by providing a single data source from which to work. Featuring case studies from a range of technical-support structures including electric and gas utilities, public works, and renewable energy, this book is a reference for anyone involved in the infrastructure industry. The maps in are real-world examples from 57 different organizations currently using GIS to effectively examine infrastructure development. Note de contenu : - Broadband
- Construction
- Critical infrastructure protection
- Electric and gas utilities
- Environmental impact
- Highways and roads
- Infrastructure mapping
- Planning and engineering
- Public transit
- Public works
- Rail
- Renewable energy
- Traffic and safety
- Transportation planning
- Water utilitiesNuméro de notice : 20429 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=63010 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 20429-01 37.40 Livre Centre de documentation Géomatique Disponible Information + Trafic = Information - Trafic / Audrey Malherbe in Géomatique expert, n° 71 (octobre - novembre 2009)
[article]
Titre : Information + Trafic = Information - Trafic Type de document : Article/Communication Auteurs : Audrey Malherbe, Auteur Année de publication : 2009 Article en page(s) : p. 18-21 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] trafic routierRésumé : Un nouvel article sélectionné sur le blog d'Audrey Malherbe, http://www.geoinweb.com Numéro de notice : IFN_4776 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=72878
in Géomatique expert > n° 71 (octobre - novembre 2009) . - p. 18-21[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 265-09061 RAB Revue Centre de documentation En réserve L003 Disponible IFN-001-P000688 RAB Revue Nogent-sur-Vernisson En réserve L003 Exclu du prêt Multi-scale spatiotemporal analyses of moose-vehicle collisions: a case study in northern Vermont / Giorgos Mountrakis in International journal of geographical information science IJGIS, vol 23 n°11-12 (november 2009)
[article]
Titre : Multi-scale spatiotemporal analyses of moose-vehicle collisions: a case study in northern Vermont Type de document : Article/Communication Auteurs : Giorgos Mountrakis, Auteur ; K. Gunson, Auteur Année de publication : 2009 Article en page(s) : pp 1389 - 1412 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] accident de la route
[Termes IGN] analyse spatio-temporelle
[Termes IGN] Cervidae
[Termes IGN] estimation par noyau
[Termes IGN] Mammalia
[Termes IGN] outil d'aide à la décision
[Termes IGN] trafic routier
[Termes IGN] véhicule automobile
[Termes IGN] Vermont (Etats-Unis)Résumé : (Auteur) Moose-vehicle collisions (MVCs) pose a serious safety and environmental concern in many regions of Europe and North America. For example, in the state of Vermont, one-third of all reported MVCs resulted in motorist injury or fatality while collisions have increased from two in 1982 to 164 in 2002. Our work used a MVC dataset from 1983 to 1999 in the Northeastern Highlands of Vermont (four major roads) to perform space, time and spatiotemporal analyses and guide future mitigation strategies. An adapted kernel density estimator was implemented for exploratory analyses to detect high density collision hotspots on roads. The kernel in space showed seven major density peaks which varied in magnitude and spread between roads. The kernel estimator in time for all roads showed an exponentially increasing trend with annual periodicity and a seasonal cyclic component, where the majority of collisions occurred from May to October. Spatiotemporal kernel estimation exhibited discontinuous density hotspots in time and space suggesting changing animal movement patterns across roads. We used an adapted Ripley's K-function to test the hypothesis that MVCs clustering occurred at multiple scales in space, in time and in space-time combined. Statistically significant spatial clustering was evident on all roads at spatial scales from 2 to 10 km. A more consistent clustering in time occurred on all roads at a scale distance of 5 years. Similar to the kernel estimation, annual periodicity was also evident. Positive space-time clustering was present at small spatial (5 km) and temporal scales (2 years) indicating that where MVCs occur is also influenced by when they occur. In retrospect, using multiple road lengths, and the combined kernel estimation and Ripley's K-function in time and space, provided a powerful methodology to study varying spatiotemporal patterns of wildlife collisions along roads. This can greatly assist transportation planners in identifying optimal mitigation strategies along specific roads, such as deciding on location and spatial length for permanent and expensive measures (e.g. crossing structures and associated fencing) versus less permanent and inexpensive structures (e.g. wildlife signage and reduced speed limits). Copyright Taylor & Francis Numéro de notice : A2009-513 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810802406132 En ligne : https://doi.org/10.1080/13658810802406132 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30142
in International journal of geographical information science IJGIS > vol 23 n°11-12 (november 2009) . - pp 1389 - 1412[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-09071 RAB Revue Centre de documentation En réserve L003 Disponible 079-09072 RAB Revue Centre de documentation En réserve L003 Disponible Street-based topological representations and analyses for predicting traffic flow in GIS / Bin Jiang in International journal of geographical information science IJGIS, vol 23 n°9-10 (september 2009)PermalinkStreet hierarchies: a minority of streets account for a majority of traffic flow / Bin Jiang in International journal of geographical information science IJGIS, vol 23 n° 7-8 (july 2009)PermalinkNew perspectives on the use of GPS and GIS to support a highway performance study / D. Tong in Transactions in GIS, vol 13 n° 1 (February 2009)PermalinkPermalinkTraffic extraction and characterisation from optical remote sensing data / Stefan Hinz in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)PermalinkSites web cartographiques dans le domaine routier / Clotilde Mohsen (2008)PermalinkRoad safety analysis / Vassilis Pagounis in GIM international, vol 21 n° 8 (August 2007)PermalinkA shortest path algorithm with novel heuristics for dynamic transportation networks / B. Huang in International journal of geographical information science IJGIS, vol 21 n° 6-7 (july 2007)PermalinkReducing functional network vulnerability : Structural indicators to help towards traffic regulation on a damaged transportation network / Jean-François Gleyze (2007)PermalinkExtracting dynamic spatial data from airborne imaging sensors to support traffic flow estimation / Charles K. Toth in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 3-4 (December 2006)Permalink