A Tool for Monitoring Roads: How an AI Program Could Keep Watch for Crashes

Medina, Juan; Liu, Xiaoyue Cathy; National Institute for Transportation and Communities (NITC); University of Utah. Department of Civil and Environmental Engineering

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

i

A Tool for Monitoring Roads: How an AI Program Could Keep Watch for Crashes

2023-01-01
By Medina, Juan ; Liu, Xiaoyue Cathy

[PDF-300.15 KB]

English

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Details:

Creators:

Medina, Juan ; Liu, Xiaoyue Cathy

Medina, Juan ; Liu, Xiaoyue Cathy Less -
Corporate Creators:

National Institute for Transportation and Communities (NITC) ; University of Utah. Department of Civil and Environmental Engineering

National Institute for Transportation and Communities (NITC) ; University of Utah. Department of Civil and Environmental Engineering Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Congestion Management Systems Data Analysis Incident Detection Near Crashes Traffic Congestion
Publication/ Report Number:

Project Brief 1082
Resource Type:

Brief
Geographical Coverage:

Utah ; United States

Utah ; United States Less -
Edition:

Project Brief
Corporate Publisher:

National Institute for Transportation and Communities (NITC)
Abstract:

The traffic patterns of your daily commute are usually predictable. Folks working on road safety, traffic operations, accessibility, or related transportation improvements can use the consistent data to implement the most effective traffic management strategies.
Format:

PDF
Funding:

69A3551747112
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:2cbb3dd99539606f88757010e52b5deaab08ca0b15033504f3dc62dbf48d7fc4
Download URL:

https://rosap.ntl.bts.gov/view/dot/68532/dot_68532_DS1.pdf
File Type:

No Additional Files

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A Tool for Monitoring Roads: How an AI Program Could Keep Watch for Crashes

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