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

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

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/ayqp-ckmi
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 1b6d9b9e-fbcd-4fcf-9fcd-57b1111a6089
Harvest Source Id a776e4b7-8221-443c-85ed-c5ee5db0c360
Harvest Source Title DOT Socrata Data.json
Homepage URL https://data.transportation.gov/d/ayqp-ckmi
License http://www.usa.gov/publicdomain/label/1.0/
Old Spatial Maryland highway network
Program Code 021:042
Source Datajson Identifier True
Source Hash ff6aa96c5fbe643438b336ee2b6d2eb5cbe35bab647a673123623c5106d9b9e4
Source Schema Version 1.1
Spatial

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