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

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 a raw sample of Maryland roadway speed data

Data and Resources

Field Value
accessLevel public
bureauCode {021:15}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://data.transportation.gov/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier https://data.transportation.gov/api/views/w8r7-b5tm
issued 2024-09-16
landingPage https://data.transportation.gov/d/w8r7-b5tm
license http://www.usa.gov/publicdomain/label/1.0/
modified 2025-06-16
old-spatial Maryland highway network
programCode {021:042}
publisher Federal Highway Administration
resource-type Dataset
source_datajson_identifier true
source_hash 41ff8aca07ec699d675c9598fd1411b4922aeea826605c57b310acbcae1cbdfe
source_schema_version 1.1
theme {"Roadways and Bridges"}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • data-for-ai
  • intelligent-transportation-systems-its
  • its-joint-program-office-jpo
  • speed-data
  • traffic-detectors
  • traffic-flow
  • travel-time
  • work-zones
isopen False
license_id us-pd
license_title us-pd
maintainer Elina Zlotchenko
maintainer_email elina.zlotchenko@dot.gov
metadata_created 2025-09-24T09:44:46.527980
metadata_modified 2025-09-24T09:44:46.527989
notes 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 a raw sample of Maryland roadway speed data
num_resources 4
num_tags 16
title Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Speed Data