Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Average Annual Daily Traffic 2019
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Complete Metadata
| @type | Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "021:15" ] |
| contactPoint |
[ { "fn": "ITS JPO", "@type": "Kind", "hasEmail": "mailto:data.itsjpo@dot.gov" } ] |
| description | Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case proposes a data integration pipeline that enhances the utilization of work zone and traffic data from diversified platforms and introduces a novel deep learning model to predict the traffic speed and traffic collision likelihood during planned work zone events. This dataset is raw Maryland 2019 Average Annual Daily Traffic data |
| distribution |
[ { "@type": "Distribution", "modified": "2026-10-06", "accessURL": "https://data.transportation.gov/d/6t2m-6b8t", "mediaType": "application/json", "describedBy": { "@type": "Standard", "title": "Columns for this asset", "accessURL": "https://data.transportation.gov/api/views/6t2m-6b8t/columns.json" }, "downloadURL": "https://data.transportation.gov/api/v3/views/6t2m-6b8t/query.json?accessType=DOWNLOAD" }, { "@type": "Distribution", "modified": "2026-10-06", "accessURL": "https://data.transportation.gov/d/6t2m-6b8t", "mediaType": "application/xml", "describedBy": { "@type": "Standard", "title": "Columns for this asset", "accessURL": "https://data.transportation.gov/api/views/6t2m-6b8t/columns.xml" }, "downloadURL": "https://data.transportation.gov/api/v3/views/6t2m-6b8t/query.xml?accessType=DOWNLOAD" }, { "@type": "Distribution", "modified": "2026-10-06", "accessURL": "https://data.transportation.gov/d/6t2m-6b8t", "mediaType": "text/csv", "downloadURL": "https://data.transportation.gov/api/v3/views/6t2m-6b8t/export.csv?accessType=DOWNLOAD" } ] |
| identifier | https://data.transportation.gov/api/views/6t2m-6b8t |
| keyword |
[ "data for ai", "intelligent transportation systems (its)", "its joint program office (jpo)", "speed data", "traffic detectors", "traffic flow", "travel time", "work zones" ] |
| landingPage |
{ "@type": "Document", "title": "Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Average Annual Daily Traffic 2019 - Dataset Home", "issued": "2024-09-17", "accessURL": "https://data.transportation.gov/d/6t2m-6b8t", "publisher": [ { "@id": "https://data.transportation.gov/user/xnuk-kw6c", "name": "Federal Highway Administration", "@type": "Organization" } ], "description": "Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Average Annual Daily Traffic 2019 - Dataset Home" } |
| modified | 2026-10-06 |
| programCode |
[ "021:042" ] |
| publisher |
{ "@id": "https://data.transportation.gov/user/xnuk-kw6c", "name": "Federal Highway Administration", "@type": "Organization" } |
| rights |
[ "public" ] |
| spatial |
{ "@type": "Location", "prefLabel": "Maryland highway network" } |
| title | Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Average Annual Daily Traffic 2019 |