Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Average Annual Daily Traffic 2019
L o a d i n g
Organization
US Department of Transportation - view all
Update frequencyunknown
Last updatedlast year
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 2019 Average Annual Daily Traffic data
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
Owner Display NameITS-JPO
Source Created At2024-09-16T19:26:06.000Z
Source Updated At2024-11-20T17:52:54.000Z