Return to search results
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Average Annual Daily Traffic 2019
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
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 2019 Average Annual Daily Traffic data |
| distribution |
[
{
"@type": "dcat:Distribution",
"mediaType": "application/json",
"describedBy": "https://data.transportation.gov/api/views/6t2m-6b8t/columns.json",
"downloadURL": "https://data.transportation.gov/api/views/6t2m-6b8t/rows.json?accessType=DOWNLOAD",
"describedByType": "application/json"
},
{
"@type": "dcat:Distribution",
"mediaType": "application/rdf+xml",
"describedBy": "https://data.transportation.gov/api/views/6t2m-6b8t/columns.rdf",
"downloadURL": "https://data.transportation.gov/api/views/6t2m-6b8t/rows.rdf?accessType=DOWNLOAD",
"describedByType": "application/rdf+xml"
},
{
"@type": "dcat:Distribution",
"mediaType": "application/xml",
"describedBy": "https://data.transportation.gov/api/views/6t2m-6b8t/columns.xml",
"downloadURL": "https://data.transportation.gov/api/views/6t2m-6b8t/rows.xml?accessType=DOWNLOAD",
"describedByType": "application/xml"
},
{
"@type": "dcat:Distribution",
"mediaType": "text/csv",
"downloadURL": "https://data.transportation.gov/api/views/6t2m-6b8t/rows.csv?accessType=DOWNLOAD"
}
]
|
| identifier | https://data.transportation.gov/api/views/6t2m-6b8t |
| issued | 2024-09-17 |
| 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/6t2m-6b8t |
| 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 Average Annual Daily Traffic 2019 |
