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Data · dataset · 2024

Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Incidents Matched

Listed in U.S Department of Transportation

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.

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Topics

Stated by source
Roadways and Bridges
Inferred from text
Applied computing 71%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
U.S Department of Transportationr6ib-3rca13 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · data transportation govconnector:data_transportation_gov@1.0.0
concepts[field].anzsrc:group:4601enrichment · data transportation govtaxonomy-embedding@1.1.0title+keywords+description (71%)
concepts[field].local:field:computer-science-aimapping · data transportation govconnector:data_transportation_gov@1.0.0
concepts[field].local:field:engineeringmapping · data transportation govconnector:data_transportation_gov@1.0.0
concepts[topic].socrata_category:data_transportation_gov:roadways-and-bridgessource · data transportation govconnector:data_transportation_gov@1.0.0
created_datesource · data transportation govconnector:data_transportation_gov@1.0.0
descriptionsource · data transportation govconnector:data_transportation_gov@1.0.0/resource/description
publication_datesource · data transportation govconnector:data_transportation_gov@1.0.0
titlesource · data transportation govconnector:data_transportation_gov@1.0.0/resource/name
updated_datesource · data transportation govconnector:data_transportation_gov@1.0.0