{"id":2789,"date":"2021-06-30T16:05:22","date_gmt":"2021-06-30T14:05:22","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=2789"},"modified":"2021-06-30T16:05:22","modified_gmt":"2021-06-30T14:05:22","slug":"new-data-model-itemflowobserved","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-itemflowobserved\/","title":{"rendered":"New data model ItemFlowObserved"},"content":{"rendered":"<p>In the subject <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Transportation\">dataModel.Transportation<\/a> there is a new data model, <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Transportation\/blob\/master\/ItemFlowObserved\/\">ItemFlowObserved<\/a> for counting items in lanes or other places that need to be counted.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Transportation\/blob\/master\/ItemFlowObserved\/README.md\">ItemFlowObserved<\/a>. The data model intended to measure an observation linked to the movement of an item at a certain location and over a given period. This Data Model proposes an evolution of two Data Model by merging them and integrating all the attributes of the initial version of [TrafficFlowObserved] and [CrowFlowObserved] and by extension any type of item that we want to analyze the movements. Attributes <code>vehicleType<\/code> and <code>vehicleSubType<\/code> are removed from the initial data Model in order to become generic <code>itemType<\/code> and <code>itemSubType<\/code> of possible values. (people, Type of vehicle, Type of boat, Type of plane, &#8230;).<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>In the subject dataModel.Transportation there is a new data model, ItemFlowObserved for counting items in lanes or other places that need to be counted. ItemFlowObserved. The data model intended to measure an observation linked to the movement of an item at a certain location and over a given period. This&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/new-data-model-itemflowobserved\/\">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,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[107],"tags":[],"class_list":["post-2789","post","type-post","status-publish","format-standard","hentry","category-smart-cities"],"jetpack_publicize_connections":[],"jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":8563,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-anprflowobserved-in-transportation-subject\/","url_meta":{"origin":2789,"position":0},"title":"New data model AnprFlowObserved in Transportation subject","author":"maestro","date":"19\/04\/2023","format":false,"excerpt":"The data model for AnprFlowObserved (Automatic number-plate recognition) is available for the transportation subject. AnprFlowObserved. The data model represents an observation linked to the passing of a vehicle at a certain location and at a given time. This Data Model is based on the ItemFlowObserved, extended with ANPR-specific properties, and\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":6411,"url":"https:\/\/smartdatamodels.org\/index.php\/export-of-the-full-database-of-attributes\/","url_meta":{"origin":2789,"position":1},"title":"Export of the full database of attributes","author":"maestro","date":"21\/07\/2022","format":false,"excerpt":"At home -> Search -> json export of attributes database of smart data models\u00a0 is the full database of attributes (more than 18000), see the statistics page as an array of JSON objects. Fields for each attribute _id: identifier of the item property: the name of the attribute dataModel: the\u2026","rel":"","context":"In &quot;Governance&quot;","block_context":{"text":"Governance","link":"https:\/\/smartdatamodels.org\/index.php\/category\/governance\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2821,"url":"https:\/\/smartdatamodels.org\/index.php\/open-session-5-7-21\/","url_meta":{"origin":2789,"position":2},"title":"Open session 5-7-21","author":"maestro","date":"05\/07\/2021","format":false,"excerpt":"Presentation of the 5-7-21 in the open session. Next session on the 12th of July 14:00h CEST. OPEN-SESSION-SMART-DATA-MODELS(3) 4 new data models. AgentDCAT-AP,\u00a0Dataset, TechnicalCabinetDevice, and ItemFlowObserved. Release of software for the creation of key values examples. You can join the event directly here http:\/\/bit.ly\/smartdatamodels If you want to have it\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":1685,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-acmeasurement-for-energy\/","url_meta":{"origin":2789,"position":3},"title":"New data ACMeasurement for Energy","author":"maestro","date":"17\/02\/2021","format":false,"excerpt":"The Subject of dataModel.Energy, inside the domain Smart Energy has released 1 new data model: Pen : The Data Model intended to measure the electrical energies consumed by an electrical system which uses an Alternating Current (AC) for a three-phase (L1, L2, L3) or single-phase (L) and neutral (N). It\u2026","rel":"","context":"In &quot;Smart Energy domain&quot;","block_context":{"text":"Smart Energy domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-energy-domain\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":587,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-models-on-energy\/","url_meta":{"origin":2789,"position":4},"title":"New data models on Energy","author":"maestro","date":"02\/09\/2020","format":false,"excerpt":"There are two data models coming for the Energy domain (ACMeasurement and InverterDevice). You can submit an issue on it if interested. Once harmonized with the contributors and checking the interaction with other data models they will be incorporated into the Energy repository inside the domain of Smart Energy. ACMeasurement\u2026","rel":"","context":"In &quot;Energy&quot;","block_context":{"text":"Energy","link":"https:\/\/smartdatamodels.org\/index.php\/category\/energy\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":3471,"url":"https:\/\/smartdatamodels.org\/index.php\/extended-vehicle-data-model-with-emergency-vehicle-attributes\/","url_meta":{"origin":2789,"position":5},"title":"Extended vehicle data model with emergency vehicle attributes","author":"maestro","date":"14\/12\/2021","format":false,"excerpt":"New attributes have been added to the vehicle data model to allow its use for emergency vehicles. See it in the transportation subject.","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":[]}],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/2789","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=2789"}],"version-history":[{"count":2,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/2789\/revisions"}],"predecessor-version":[{"id":2791,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/2789\/revisions\/2791"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=2789"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=2789"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=2789"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}