{"id":8563,"date":"2023-04-19T14:28:51","date_gmt":"2023-04-19T12:28:51","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=8563"},"modified":"2023-04-19T14:28:51","modified_gmt":"2023-04-19T12:28:51","slug":"new-data-model-anprflowobserved-in-transportation-subject","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-anprflowobserved-in-transportation-subject\/","title":{"rendered":"New data model AnprFlowObserved in Transportation subject"},"content":{"rendered":"

The data model for AnprFlowObserved (Automatic number-plate recognition) is available for the transportation subject.<\/p>\n

AnprFlowObserved<\/a>. 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<\/a>, extended with ANPR-specific properties, and links to the observation images.<\/p>\n

\"ANPR<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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… More…<\/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":[107],"tags":[],"class_list":["post-8563","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":9606,"url":"https:\/\/smartdatamodels.org\/index.php\/apdsobservation-data-model-at-transportation-subject\/","url_meta":{"origin":8563,"position":0},"title":"APDSObservation data model at transportation subject","author":"maestro","date":"20\/09\/2023","format":false,"excerpt":"A new data model in the transportation subject, APDSObservation, it is the result of the ANPR camera (automatic number plate recognition). It is aligned with the alliance of parking standards. APDSObservation. This entity models a particular observation of a set of ANPR camera. The Observation might be done with several\u2026","rel":"","context":"In "Smart Cities domain"","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":31734,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-at-transportation-subject-electricvehiclemobility\/","url_meta":{"origin":8563,"position":1},"title":"New data model at transportation subject ElectricVehicleMobility","author":"maestro","date":"30\/01\/2026","format":false,"excerpt":"A new data model, ElectricVehicleMobility in the subject datamodel.Transportation Thanks to the company ubiwhere.com for the contribution. ElectricVehicleMobility. Daily observation of electric vehicle mobility patterns aggregated by location, vehicle brand, and geographic region.","rel":"","context":"In "Smart Cities domain"","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":31771,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-at-origindestinationflow-at-subject-transportation\/","url_meta":{"origin":8563,"position":2},"title":"New data model at OriginDestinationFlow at subject Transportation","author":"maestro","date":"01\/02\/2026","format":false,"excerpt":"A new data model, OriginDestinationFlow\u00a0in the subject datamodel.Transportation Thanks to the company ubiwhere.com for the contribution. OriginDestinationFlow. Hourly observation of visitor movement flows between origin and destination municipalities, segmented by nationality. Each entity represents the flow count between two locations during a specific hour.","rel":"","context":"In "Smart Cities domain"","block_context":{"text":"Smart Cities domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-cities\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/02\/Gemini_Generated_Image_dlgwrudlgwrudlgw.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/02\/Gemini_Generated_Image_dlgwrudlgwrudlgw.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/02\/Gemini_Generated_Image_dlgwrudlgwrudlgw.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/02\/Gemini_Generated_Image_dlgwrudlgwrudlgw.png?resize=700%2C400&ssl=1 2x"},"classes":[]},{"id":7740,"url":"https:\/\/smartdatamodels.org\/index.php\/new-observation-data-model-at-the-new-subject-sdmx\/","url_meta":{"origin":8563,"position":3},"title":"New Observation data model at the new subject SDMX","author":"maestro","date":"29\/11\/2022","format":false,"excerpt":"SDMX is a standard for the codification of statistical information. Retrieving these types of data and inserting them in systems based on JSON\/JSON-LD is a tough task performed by the project Interstat. Thanks to its collaboration we have a new subject, dataModel.SDMX where these data models for mapping this standard\u2026","rel":"","context":"In "Cross Sector"","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2130,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-smart-metering-observation\/","url_meta":{"origin":8563,"position":4},"title":"New Data model Smart Metering Observation","author":"maestro","date":"21\/04\/2021","format":false,"excerpt":"A new data model for the device subject capable of allocating payloads of power consumption. In the subject datamodel.Device. SmartMeteringObservation. This entity contains a harmonized description of a Smart Meter Observation, generally applicable for Smart Homes, Industry, Cities, and Agriculture. It is based mostly on the GSMA entity definition but\u2026","rel":"","context":"In "Cross Sector"","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":31757,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-touristpresenceobserved-at-tourismdestination-subject\/","url_meta":{"origin":8563,"position":5},"title":"New data model TouristPresenceObserved at TourismDestination subject","author":"maestro","date":"01\/02\/2026","format":false,"excerpt":"A new data model, TourismPresenceObserved in the subject dataModel.TourismDestinations Thanks to the company ubiwhere.com for the contribution. TourismPresenceObserved. Hourly observation of visitor presence at a specific location (municipality), segmented by nationality. Each entity represents one hour of observation.","rel":"","context":"In "SmartDestinations"","block_context":{"text":"SmartDestinations","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smartdestinations\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/02\/Screenshot-from-2026-02-01-02-43-52.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/02\/Screenshot-from-2026-02-01-02-43-52.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/02\/Screenshot-from-2026-02-01-02-43-52.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/02\/Screenshot-from-2026-02-01-02-43-52.png?resize=700%2C400&ssl=1 2x"},"classes":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/8563","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=8563"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/8563\/revisions"}],"predecessor-version":[{"id":8564,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/8563\/revisions\/8564"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=8563"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=8563"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=8563"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}