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

Metadata Updated: September 30, 2025

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.

Access & Use Information

Public: This dataset is intended for public access and use. License: us-pd

Downloads & Resources

Dates

Metadata Created Date November 21, 2024
Metadata Updated Date September 30, 2025

Metadata Source

Harvested from DOT Socrata Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 21, 2024
Metadata Updated Date September 30, 2025
Publisher Federal Highway Administration
Maintainer
Identifier https://data.transportation.gov/api/views/r6ib-3rca
Data First Published 2024-09-16
Data Last Modified 2025-09-29
Category Roadways and Bridges
Public Access Level public
Bureau Code 021:15
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.transportation.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 91b34298-be14-418c-9947-02433645eda8
Harvest Source Id a776e4b7-8221-443c-85ed-c5ee5db0c360
Harvest Source Title DOT Socrata Data.json
Homepage URL https://data.transportation.gov/d/r6ib-3rca
License http://www.usa.gov/publicdomain/label/1.0/
Old Spatial Maryland highway network
Program Code 021:042
Source Datajson Identifier True
Source Hash fc3e9446c5be590e031be367fc51e8cf16f4e15c7dcce3e6e3659c8b90a1e9d9
Source Schema Version 1.1
Spatial

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