Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Incidents Matched
L o a d i n g
Organization
US Department of Transportation - view all
Update frequencyunknown
Last updated3 months ago
Format
Overviewintelligent-transportation-systems-itsits-joint-program-office-jpospeed-datatraffic-detectorstraffic-flowtravel-timework-zones
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.
Additional Information
KeyValue
Categories{}
Common Core Bureau Code021:15
Common Core Contact Emailelina.zlotchenko@dot.gov
Common Core Contact NameElina Zlotchenko
Common Core Geographic CoverageMaryland highway network
Common Core Licensehttp://www.usa.gov/publicdomain/label/1.0/
Common Core Program Code021:042
Common Core Public Access Levelpublic
Common Core PublisherFederal Highway Administration
Dataset AssuranceUNKNOWN
Harvest Object Id416c8cd5-4ec5-4a74-898a-b368422be91b
Harvest Source Ida7dcdbaf-e4e3-4821-be64-d4ab014fcc67
Harvest Source TitleDOT Open Data Catalog
Owner Display NameITS-JPO
Sensitivity ClassUNKNOWN
Source Created At2024-09-16T19:26:10.000Z
Source Updated At2024-11-20T17:53:36.000Z
Trust FrameworkUNKNOWN