{"id":6780,"date":"2022-08-26T09:06:41","date_gmt":"2022-08-26T07:06:41","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=6780"},"modified":"2022-08-26T09:06:41","modified_gmt":"2022-08-26T07:06:41","slug":"3-new-data-models-for-environment-and-mobility","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/3-new-data-models-for-environment-and-mobility\/","title":{"rendered":"3 new data models for environment (and mobility)"},"content":{"rendered":"<p>There are 3 new data models coming from the collaboration with the <a href=\"https:\/\/green-mov.eu\/\">GreenMov<\/a> project.<\/p>\n<p><a href=\"https:\/\/green-mov.eu\/\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6781\" src=\"https:\/\/smartdatamodels.org\/wp-content\/uploads\/2022\/08\/logo_GreenMov-300x95-1.png\" alt=\"\" width=\"300\" height=\"95\" srcset=\"https:\/\/smartdatamodels.org\/wp-content\/uploads\/2022\/08\/logo_GreenMov-300x95-1.png 300w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2022\/08\/logo_GreenMov-300x95-1-150x48.png 150w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p>They are located at the <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\/\">Environment<\/a> subject.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\/blob\/master\/NoisePollutionForecast\/README.md\">NoisePollutionForecast<\/a>. Noise Pollution forecast stores the expectation about noise pollution based on some input elements and the noise elements present.<\/li>\n<li>\n<p dir=\"auto\"><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\/blob\/master\/TrafficEnvironmentImpact\/README.md\">TrafficEnvironmentImpact<\/a>. Environmental Impact of traffic based on the vehicles traffic and their emission characteristics<\/p>\n<\/li>\n<li>\n<p dir=\"auto\"><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\/blob\/master\/TrafficEnvironmentImpactForecast\/README.md\">TrafficEnvironmentImpactForecast<\/a>. Environmental Impact of traffic based on the vehicles&#8217; traffic expectations and their emission characteristics<\/p>\n<\/li>\n<\/ul>\n<p><a title=\"InfoGibraltar, CC BY 2.0 &lt;https:\/\/creativecommons.org\/licenses\/by\/2.0&gt;, via Wikimedia Commons\" href=\"https:\/\/commons.wikimedia.org\/wiki\/File:Vista_a%C3%A9rea_de_las_colas_de_acceso_a_Gibraltar_(9460862160)_(5).jpg\"><img decoding=\"async\" src=\"https:\/\/upload.wikimedia.org\/wikipedia\/commons\/thumb\/a\/ac\/Vista_a%C3%A9rea_de_las_colas_de_acceso_a_Gibraltar_%289460862160%29_%285%29.jpg\/256px-Vista_a%C3%A9rea_de_las_colas_de_acceso_a_Gibraltar_%289460862160%29_%285%29.jpg\" alt=\"Vista a\u00e9rea de las colas de acceso a Gibraltar (9460862160) (5)\" width=\"256\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>There are 3 new data models coming from the collaboration with the GreenMov project. They are located at the Environment subject. NoisePollutionForecast. Noise Pollution forecast stores the expectation about noise pollution based on some input elements and the noise elements present. TrafficEnvironmentImpact. Environmental Impact of traffic based on the vehicles&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/3-new-data-models-for-environment-and-mobility\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[113],"tags":[],"class_list":["post-6780","post","type-post","status-publish","format-standard","hentry","category-smart-environment"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":6280,"url":"https:\/\/smartdatamodels.org\/index.php\/noise-pollution-data-model-and-airqualityforecast-published-at-environment-subject\/","url_meta":{"origin":6780,"position":0},"title":"Noise pollution data model and AirQualityForecast published at Environment subject","author":"maestro","date":"05\/07\/2022","format":false,"excerpt":"The Noise Pollution data model and the AirQualityForecast have been published on the Environment subject. The first one merges specific and punctual noise measurements (coming, e.g. from NoiseLevelObservation entities) into average parameters referred to city areas, providing more city-related data about noise pollution status and evolution. The second one helps\u2026","rel":"","context":"In &quot;Smart Environment domain&quot;","block_context":{"text":"Smart Environment domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":796,"url":"https:\/\/smartdatamodels.org\/index.php\/french-translation-of-data-models-available\/","url_meta":{"origin":6780,"position":1},"title":"French translation of data models available","author":"maestro","date":"25\/11\/2020","format":false,"excerpt":"Most of the data models have a new file into its \/doc directory name spec_FR.md. It contains a specification generated automatically based on the schema.json with all its texts translated into French. (With the deepL tool, so you can expect some \u2018incorrect\u2019 translated elements). The official spec remains to be\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1715,"url":"https:\/\/smartdatamodels.org\/index.php\/updated-context-jsonld-2\/","url_meta":{"origin":6780,"position":2},"title":"Updated context.jsonld","author":"maestro","date":"19\/02\/2021","format":false,"excerpt":"The context.jsonld for smart data models has been updated to meet json ld requirements. Now they are implementing geojson requirements. It affects the terms of bbox and coordinates. It could impact those elements having a geoproperty (most of the data models).","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":8552,"url":"https:\/\/smartdatamodels.org\/index.php\/7-new-data-models-mapped-from-saref4bldg-ontology\/","url_meta":{"origin":6780,"position":3},"title":"7 new data models mapped from SAREF4BLDG ontology","author":"maestro","date":"14\/04\/2023","format":false,"excerpt":"The new subject datamodel.S4BLDG is mapping the data models from SAREF for buildings 1.1.2. Thanks to the contributors Grzegorz Wiszniewski and Jakob Bj\u00f8rnskov t the project Twin4Build \u2013 A holistic Digital Twin platform for decision-making support over the whole building life cycle. DuctSilencer. A duct silencer is a device that\u2026","rel":"","context":"In &quot;Smart Cities domain&quot;","block_context":{"text":"Smart Cities domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-cities\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":6183,"url":"https:\/\/smartdatamodels.org\/index.php\/updated-3-data-models-in-environment-subject\/","url_meta":{"origin":6780,"position":4},"title":"updated 3 data models in environment subject","author":"maestro","date":"21\/06\/2022","format":false,"excerpt":"The data models AirQualityMonitoring, AirQualityObserved, and NoiseLevelObserved have been extended with additional attributes. These data models have been tested in three use cases in the cities\/regions of\u00a0 Murcia \/ Molina de Segura, (Spain), Nice Cote D'azur (France), and Flanders (Belgium). Soon other data models will be released thanks to this\u2026","rel":"","context":"In &quot;Smart Environment domain&quot;","block_context":{"text":"Smart Environment domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1252,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-models-for-environment-electromagneticobserved-and-indoorenvironmentobserved\/","url_meta":{"origin":6780,"position":5},"title":"New data models for Environment.  ElectroMagneticObserved and IndoorEnvironmentObserved","author":"maestro","date":"04\/01\/2021","format":false,"excerpt":"There are two new data models ElectroMagneticObserved and IndoorEnvironmentObserved ElectroMagneticObserved. The Data Model is intended to measure excessive electric and magnetic fields (EMFs), or radiation in a work or public environment according to the level of exposure to electromagnetic fields on the air. The frequency of the Hertzian waves is\u2026","rel":"","context":"In &quot;Environment&quot;","block_context":{"text":"Environment","link":"https:\/\/smartdatamodels.org\/index.php\/category\/environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/6780","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/comments?post=6780"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/6780\/revisions"}],"predecessor-version":[{"id":6782,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/6780\/revisions\/6782"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=6780"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=6780"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=6780"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}