{"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,"_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":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_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":6411,"url":"https:\/\/smartdatamodels.org\/index.php\/export-of-the-full-database-of-attributes\/","url_meta":{"origin":2789,"position":0},"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":1685,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-acmeasurement-for-energy\/","url_meta":{"origin":2789,"position":1},"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":2},"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":3},"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":[]},{"id":11440,"url":"https:\/\/smartdatamodels.org\/index.php\/new-subject-smart-data-models-and-new-data-model-attribute\/","url_meta":{"origin":2789,"position":4},"title":"New subject Smart Data Models and new data model Attribute","author":"maestro","date":"27\/11\/2024","format":false,"excerpt":"Eating your own food is for SDM a demonstration that agile standardization works We have created a new subject, SmartDataModels, where the structure of the assets of SDM will be released. We have started with the data models of Attribute according to the global data base of attributes (more than\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":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/09\/Logo_SmartDataModels.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/09\/Logo_SmartDataModels.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/09\/Logo_SmartDataModels.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/09\/Logo_SmartDataModels.png?resize=700%2C400&ssl=1 2x"},"classes":[]},{"id":9054,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-dataservicerun-candidate-for-extending-dcat-ap\/","url_meta":{"origin":2789,"position":5},"title":"New data model DataServiceRun. Candidate for extending DCAT-AP","author":"maestro","date":"09\/06\/2023","format":false,"excerpt":"The new data model, DataServiceRun, is included into the Smart Data Models' subject DCAT-AP. Initially this subject maps all the contents of the standard DCAT-AP 2.0.1 but also, aligned with the agile standardization philosophy of the initiative, it extends exiting data models and hopefully would be submitted to the original\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":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/08\/dcat-ap_logo.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_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}]}}