{"id":2764,"date":"2021-06-25T09:25:30","date_gmt":"2021-06-25T07:25:30","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=2764"},"modified":"2021-06-24T20:25:06","modified_gmt":"2021-06-24T18:25:06","slug":"citywork-data-model-in-transportation-subject","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/citywork-data-model-in-transportation-subject\/","title":{"rendered":"CityWork Data model in Transportation subject"},"content":{"rendered":"<div class=\"entry-content\">\n<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\/tree\/master\/CityWork\">CityWork<\/a> capable of storing the values and the impacted infrastructures of the city due to due civil engineering works in the transportations system of a Smart City (or other places),<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Transportation\/blob\/master\/CityWork\/README.md\">CityWork<\/a>. The Data Model is a contextual description of urban works carried out on a road axis and which can impact individuals (Cars, motorcycles, bicycles, .\u2026) or common transport (Tram, Bus, subway). It contains a geographic representation making it possible to locate its work from a specific JSON Object and at a more global level (Road segment, Road, District, &#8230;) in order to assess the potential impacts on the circulation. A GeoJSON object may represent a region of space (a Geometry), a spatially-bounded entity (a Feature), or a list of features (a Feature Collection). refer to the document <a href=\"https:\/\/tools.ietf.org\/pdf\/draft-ietf-geojson-03.pdf\" rel=\"nofollow\">geojson<\/a> for more information about the modeling and the possible value.<\/li>\n<\/ul>\n<p>Thanks to the <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.WaterConsumption\/blob\/master\/CONTRIBUTORS.yaml\">Contributors<\/a>.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>In the subject dataModel.Transportation there is a new data model, CityWork capable of storing the values and the impacted infrastructures of the city due to due civil engineering works in the transportations system of a Smart City (or other places), CityWork. The Data Model is a contextual description of urban&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/citywork-data-model-in-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":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[107],"tags":[],"class_list":["post-2764","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":1958,"url":"https:\/\/smartdatamodels.org\/index.php\/privacy-object-for-iot-devices-in-device-subject\/","url_meta":{"origin":2764,"position":0},"title":"Privacy Object for Iot Devices in Device Subject","author":"maestro","date":"24\/03\/2021","format":false,"excerpt":"1 new data model coming from the synchronicity project is available in the subject dataModels.Device. PrivacyObject. Information about privacy for an IoT device. The first version of this data model initially was developed in the project synchronicity and now it will be curated here.","rel":"","context":"In &quot;Smart-Sensoring domain&quot;","block_context":{"text":"Smart-Sensoring domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-sensoring\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1619,"url":"https:\/\/smartdatamodels.org\/index.php\/alpha-version-for-drafting-a-data-model\/","url_meta":{"origin":2764,"position":1},"title":"Alpha version for drafting a data model","author":"maestro","date":"14\/02\/2021","format":false,"excerpt":"In case you are not an expert for creating a JSON schema (one of the elements of a data model) On this page, you have a spreadsheet for helping with the first steps. 1.- Fill the spreadsheet with the names of the properties for your model 2.- fill the NGSI\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\/02\/draft_schema.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/02\/draft_schema.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/02\/draft_schema.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/02\/draft_schema.png?resize=700%2C400&ssl=1 2x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/02\/draft_schema.png?resize=1050%2C600&ssl=1 3x"},"classes":[]},{"id":11440,"url":"https:\/\/smartdatamodels.org\/index.php\/new-subject-smart-data-models-and-new-data-model-attribute\/","url_meta":{"origin":2764,"position":2},"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":4869,"url":"https:\/\/smartdatamodels.org\/index.php\/6-new-data-model-for-veterinarian-management-in-agrifood-subject\/","url_meta":{"origin":2764,"position":3},"title":"6 new data model for veterinarian management in agrifood subject","author":"maestro","date":"13\/05\/2022","format":false,"excerpt":"There are 6 new data models (AnimalDisease, AnimalMovement, Carcass, FeedRegistry, MeatProduct, VeterinarianTreatment) for veterinarian management and farming located at the Agrifood subject. They have been tested in I4Trust project with real cases. AnimalDisease. Object modelling an animal disease for a livestock farm. AnimalMovement. Object modelling of an animal movement for\u2026","rel":"","context":"In &quot;Agrifood&quot;","block_context":{"text":"Agrifood","link":"https:\/\/smartdatamodels.org\/index.php\/category\/agrifood\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1641,"url":"https:\/\/smartdatamodels.org\/index.php\/create-your-data-model-with-a-google-spreadsheet\/","url_meta":{"origin":2764,"position":4},"title":"Create your data model with a google spreadsheet","author":"maestro","date":"15\/02\/2021","format":false,"excerpt":"NEW VERSION!! This post became obsolete, go for the new master sheet \u00a0 This is a resource, especially for those who have limited knowledge of JSON schema. If you want to create a basic version of a data model (not all JSON schema is implemented), you can use a copy\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\/02\/image.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/02\/image.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/02\/image.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":1950,"url":"https:\/\/smartdatamodels.org\/index.php\/roadaccident-data-model-in-transportation-subject\/","url_meta":{"origin":2764,"position":5},"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":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/2764","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=2764"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/2764\/revisions"}],"predecessor-version":[{"id":2765,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/2764\/revisions\/2765"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=2764"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=2764"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=2764"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}