{"id":16781478,"url":"https://github.com/ppintosilva/congestion18tynewear","last_synced_at":"2025-08-01T19:31:46.489Z","repository":{"id":95354530,"uuid":"240288230","full_name":"ppintosilva/congestion18tynewear","owner":"ppintosilva","description":"Flow traffic data for several congestion events occurring in the region of Tyne and Wear in the year of 2018.","archived":false,"fork":false,"pushed_at":"2020-02-18T18:39:45.000Z","size":15211,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-16T21:12:28.162Z","etag":null,"topics":["dataset","spatial-data","traffic","traffic-congestion","traffic-data","traffic-flow"],"latest_commit_sha":null,"homepage":null,"language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ppintosilva.png","metadata":{"files":{"readme":"README.md","changelog":"NEWS.md","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-02-13T15:05:06.000Z","updated_at":"2024-08-28T21:52:02.000Z","dependencies_parsed_at":null,"dependency_job_id":"3b9bd732-fccc-4170-b27e-21d07b35ac72","html_url":"https://github.com/ppintosilva/congestion18tynewear","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/ppintosilva/congestion18tynewear","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ppintosilva%2Fcongestion18tynewear","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ppintosilva%2Fcongestion18tynewear/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ppintosilva%2Fcongestion18tynewear/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ppintosilva%2Fcongestion18tynewear/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ppintosilva","download_url":"https://codeload.github.com/ppintosilva/congestion18tynewear/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ppintosilva%2Fcongestion18tynewear/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":268285609,"owners_count":24225761,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-01T02:00:08.611Z","response_time":67,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["dataset","spatial-data","traffic","traffic-congestion","traffic-data","traffic-flow"],"created_at":"2024-10-13T07:43:08.612Z","updated_at":"2025-08-01T19:31:46.450Z","avatar_url":"https://github.com/ppintosilva.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# congestion18tynewear\n\n\u003c!-- badges: start --\u003e\n[![Travis build status](https://travis-ci.org/ppintosilva/congestion18tynewear.svg?branch=master)](https://travis-ci.org/ppintosilva/congestion18tynewear)\n\u003c!-- badges: end --\u003e\n\nThis package contains data of several events that affected \ntraffic flow in the region of Tyne and Wear in the year 2018:\n\n- `metadata` contains information about the events as tweeted by the regional\n[Urban Traffic Management \u0026 Control facility](https://twitter.com/NELiveTraffic).\n- `events` contains the following data for each event:\n  - traffic `flow` captured around the epicentre of the traffic event,\n  within a time window of several hours before and after the incident.\n  - `spatial` features cropped to the area of interest.\n  Includes data about monitored locations, shortest paths between\n  locations, the enclosing primary (A,B and C roads) and arterial road networks\n  and nearby amenities.\n  - a `network` capturing the relationships between flows.\n  \nThe main goal of this package is to provide resources to study and profile\ntraffic congestion under different urban scenarios, using a type of data\nwhich is often not readily available to researchers but whose underlying \ntechnology is becoming more widespread to monitor traffic flows\nwithin cities - **Automatic Number Plate Recognition**.\n\nThe data are ready to be used with the\n[anprflows](https://github.com/ppintosilva/anprflows) package\n(which was also used to crop it).\nRefer to its vignettes for examples on how to do visualise and \nmanipulate the data.\n\n## A note on traffic flow data\n\nFlow data refers to origin-destination (OD) traffic flows between pairs of\nlocations in the road network. This includes the number, and speed statistics \nof vehicles passing between each pair of locations during each time period.\nAt these locations,\none or more Automatic Number Plate Recognition (ANPR) cameras have been deployed,\nso that individual and aggregate travel times can be recorded and inform\ntraffic bodies of real-time traffic state and network performance.\n\nFlow data is derived from raw ANPR data – a table containing the columns\n`vehicle_id | location | timestamp` – using the\n[anprx](https://github.com/ppintosilva/anprx) python package.\nA link to the associated research paper and underlying methodology is hopefully\ncoming soon. \nThese can then be further spatially cropped, visualised and analysed using the\n[anprflows](https://github.com/ppintosilva/anprflows).\n\n## Installation\n\nThe package is not yet available in CRAN.\n\nYou can install the development version from Github:\n\n``` r\ndevtools::install_github(\"ppintosilva/congestion18tynewear\")\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fppintosilva%2Fcongestion18tynewear","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fppintosilva%2Fcongestion18tynewear","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fppintosilva%2Fcongestion18tynewear/lists"}