Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Incidents
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
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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 |
| distribution |
[
{
"@type": "dcat:Distribution",
"mediaType": "application/json",
"describedBy": "https://data.transportation.gov/api/views/ayqp-ckmi/columns.json",
"downloadURL": "https://data.transportation.gov/api/views/ayqp-ckmi/rows.json?accessType=DOWNLOAD",
"describedByType": "application/json"
},
{
"@type": "dcat:Distribution",
"mediaType": "application/rdf+xml",
"describedBy": "https://data.transportation.gov/api/views/ayqp-ckmi/columns.rdf",
"downloadURL": "https://data.transportation.gov/api/views/ayqp-ckmi/rows.rdf?accessType=DOWNLOAD",
"describedByType": "application/rdf+xml"
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{
"@type": "dcat:Distribution",
"mediaType": "application/xml",
"describedBy": "https://data.transportation.gov/api/views/ayqp-ckmi/columns.xml",
"downloadURL": "https://data.transportation.gov/api/views/ayqp-ckmi/rows.xml?accessType=DOWNLOAD",
"describedByType": "application/xml"
},
{
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}
]
|
| identifier | https://data.transportation.gov/api/views/ayqp-ckmi |
| 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/ayqp-ckmi |
| 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 |
