Proactive Traffic Incident Management in Alabama

Liu, Jun; Zhang, Zihe; Hainen, Alex; Jones, Steven; Barnett, Tim; Burdette Steve; University of Alabama, Alabama Transportation Institute

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Proactive Traffic Incident Management in Alabama

2024-08-01
By Liu, Jun ; Zhang, Zihe ; Hainen, Alex ; ...

[PDF-4.15 MB]

English

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Details:

Creators:

Liu, Jun ; Zhang, Zihe ; Hainen, Alex ; Jones, Steven ; Barnett, Tim ; ... More +

Liu, Jun ; Zhang, Zihe ; Hainen, Alex ; Jones, Steven ; Barnett, Tim ; Burdette Steve Less -
Corporate Creators:

University of Alabama, Alabama Transportation Institute
Corporate Contributors:

Alabama. Department of Transportation
Subject/TRT Terms:

[+]

Automatic Incident Detection Crash Risk Forecasting Crash Risk Prediction Deep Learning Incident Impact Incident Management Interpretable Machine Learning Machine Learning Proactive Incident Management Real Time Information Traffic Data
Resource Type:

Tech Report
Geographical Coverage:

Alabama ; United States

Alabama ; United States Less -
Corporate Publisher:

Alabama. Department of Transportation
Abstract:

The recent availability of the state-wide large-scale real-time traffic database, traffic incident database, and road crash database has enabled more efficient traffic incident management. This project aims to assist traffic incident management (TIM) in Alabama by leveraging three large-scale real-time databases maintained by ALDOT including the ALGO traffic database, CARE crash database, and HERE traffic database. Specially, by integrating and linking the information provided in the three databases, this project focuses on the four main objectives: (1) predicting the occurrence of crashes based on real-time traffic characteristics; (2) detecting the occurrence of the incidents; (3) evaluating the impact of traffic incident and identifying the key associated factors; (4) Identifying and mapping the high-frequency incident-crash segment of interstate in the state of Alabama. Additionally, this project explores the potential of using HERE speed data to improve the crash severity modeling.
Format:

PDF
Funding:

931-026
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha-512:5345fcf489242b7ff3082dde4058f2242ba0af63e3c3fd82edf6e412c66f7e90d1e91615a032ca4c930d2a58cf83831b172420d898381889dc104a8e51cc2688
Download URL:

https://rosap.ntl.bts.gov/view/dot/78177/dot_78177_DS1.pdf
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Proactive Traffic Incident Management in Alabama

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