{"id":7543,"date":"2022-11-07T15:55:38","date_gmt":"2022-11-07T14:55:38","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=7543"},"modified":"2022-11-07T15:55:38","modified_gmt":"2022-11-07T14:55:38","slug":"new-data-model-anonymized-commuter-id-at-transportation-subject","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-anonymized-commuter-id-at-transportation-subject\/","title":{"rendered":"New data model Anonymized Commuter Id at Transportation subject"},"content":{"rendered":"<p>There is a new data model, <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Transportation\/tree\/master\/AnonymousCommuterId\">AnonymizedCommuterId<\/a>,\u00a0 coming from the collaboration with <a href=\"https:\/\/purpleblob.net\">purpleblob.net<\/a>\u00a0to create anonymized id for commuters in order to analyze their mobility. Published in the subject <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Transportation\">Transportation<\/a>.<\/p>\n<ul>\n<li><span class=\"pl-s\">Anonymized identifier for flow monitoring. Includes an origin and destiny property to map its path.<\/span><\/li>\n<\/ul>\n<p><a title=\"Christopher Michel , CC BY 2.0 &lt;https:\/\/creativecommons.org\/licenses\/by\/2.0&gt;, via Wikimedia Commons\" href=\"https:\/\/commons.wikimedia.org\/wiki\/File:Commuters_(6294620410).jpg\"><img decoding=\"async\" src=\"https:\/\/upload.wikimedia.org\/wikipedia\/commons\/thumb\/5\/5d\/Commuters_%286294620410%29.jpg\/512px-Commuters_%286294620410%29.jpg\" alt=\"Commuters (6294620410)\" width=\"512\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>There is a new data model, AnonymizedCommuterId,\u00a0 coming from the collaboration with purpleblob.net\u00a0to create anonymized id for commuters in order to analyze their mobility. Published in the subject Transportation. Anonymized identifier for flow monitoring. Includes an origin and destiny property to map its path. <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/new-data-model-anonymized-commuter-id-at-transportation-subject\/\">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":[107],"tags":[],"class_list":["post-7543","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":7543,"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 &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":8563,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-anprflowobserved-in-transportation-subject\/","url_meta":{"origin":7543,"position":1},"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":1950,"url":"https:\/\/smartdatamodels.org\/index.php\/roadaccident-data-model-in-transportation-subject\/","url_meta":{"origin":7543,"position":2},"title":"RoadAccident data model in transportation Subject","author":"maestro","date":"22\/03\/2021","format":false,"excerpt":"1 new data model coming from the synchronicity project is available in the subject dataModels.Transportation. RoadAccident. A road accident description with causes and aftermath. The first version of this data model was initially developed in the project synchronicity and now it will be curated here.","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":2143,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-bikelane-in-transportation-subject\/","url_meta":{"origin":7543,"position":3},"title":"New data model BikeLane in Transportation Subject","author":"maestro","date":"23\/04\/2021","format":false,"excerpt":"There is 1 new data model in subject dataModel.Transportation. BikeLane. A generic bike lane schema \u00a0","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":31734,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-at-transportation-subject-electricvehiclemobility\/","url_meta":{"origin":7543,"position":4},"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 &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":31771,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-at-origindestinationflow-at-subject-transportation\/","url_meta":{"origin":7543,"position":5},"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 &quot;Smart Cities domain&quot;","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":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/7543","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=7543"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/7543\/revisions"}],"predecessor-version":[{"id":7546,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/7543\/revisions\/7546"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=7543"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=7543"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=7543"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}