Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Incidents Matched
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 roadway incident data without rows where road_tmc and road are inconsistent.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "021:15" ] |
| contactPoint |
{ "fn": "Elina Zlotchenko", "@type": "vcard:Contact", "hasEmail": "mailto:elina.zlotchenko@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 roadway incident data without rows where road_tmc and road are inconsistent. |
| distribution |
[ { "@type": "dcat:Distribution", "mediaType": "application/json", "describedBy": "https://data.transportation.gov/api/views/r6ib-3rca/columns.json", "downloadURL": "https://data.transportation.gov/api/views/r6ib-3rca/rows.json?accessType=DOWNLOAD", "describedByType": "application/json" }, { "@type": "dcat:Distribution", "mediaType": "application/rdf+xml", "describedBy": "https://data.transportation.gov/api/views/r6ib-3rca/columns.rdf", "downloadURL": "https://data.transportation.gov/api/views/r6ib-3rca/rows.rdf?accessType=DOWNLOAD", "describedByType": "application/rdf+xml" }, { "@type": "dcat:Distribution", "mediaType": "application/xml", "describedBy": "https://data.transportation.gov/api/views/r6ib-3rca/columns.xml", "downloadURL": "https://data.transportation.gov/api/views/r6ib-3rca/rows.xml?accessType=DOWNLOAD", "describedByType": "application/xml" }, { "@type": "dcat:Distribution", "mediaType": "text/csv", "downloadURL": "https://data.transportation.gov/api/views/r6ib-3rca/rows.csv?accessType=DOWNLOAD" } ] |
| identifier | https://data.transportation.gov/api/views/r6ib-3rca |
| issued | 2024-09-16 |
| keyword |
[ "data for ai", "intelligent transportation systems (its)", "its joint program office (jpo)", "speed data", "traffic detectors", "traffic flow", "travel time", "work zones" ] |
| landingPage | https://data.transportation.gov/d/r6ib-3rca |
| license | http://www.usa.gov/publicdomain/label/1.0/ |
| modified | 2025-09-29 |
| programCode |
[ "021:042" ] |
| publisher |
{ "name": "Federal Highway Administration", "@type": "org:Organization" } |
| spatial | Maryland highway network |
| theme |
[ "Roadways and Bridges" ] |
| title | Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Incidents Matched |
