Correlation Analysis of Freeway Traffic Status and Crashes with Nevada Data.

Xu, Hao; Wu, Jianqing; Tian, Zong; University of Nevada, Reno. Center for Advanced Transportation Education and Research; SOLARIS Consortium

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Correlation Analysis of Freeway Traffic Status and Crashes with Nevada Data.

2017-11-11
By Xu, Hao ; Wu, Jianqing ; Tian, Zong

[PDF-1003.83 KB]

English

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Details:

Creators:

Xu, Hao ; Wu, Jianqing ; Tian, Zong

Xu, Hao ; Wu, Jianqing ; Tian, Zong Less -
Corporate Creators:

University of Nevada, Reno. Center for Advanced Transportation Education and Research ; SOLARIS Consortium

University of Nevada, Reno. Center for Advanced Transportation Education and Research ; SOLARIS Consortium Less -
Corporate Contributors:

Nevada. Dept. of Transportation
Subject/TRT Terms:

[+]

Freeway Risk Prediction Highway Safety Intelligent Transportation System Data Intelligent Transportation Systems Mathematical Prediction Real Time Real Time Data Processing Risk Analysis Risk Management Statistical Analysis Traffic Accidents Traffic Data Traffic Safety Traffic Status
Publication/ Report Number:

224-14-803 TO 10
Resource Type:

Tech Report
Geographical Coverage:

Nevada ; United States

Nevada ; United States Less -
Corporate Publisher:

Nevada. Dept. of Transportation
Abstract:

This project is to study the correlation between freeway traffic status and crash risks with the historical freeway ITS data and related crash data in Nevada. With the comprehensive review of previous research results, the Center for Advanced Transportation Education and Research (CATER) at the University of Nevada, Reno (UNR) analyzed the interactive relationship between the freeway traffic status and the crashes. The research developed a new method to correct the crash time that was not accurately documented in the crash report. A crash risk prediction model has been developed to estimate the influence of traffic status on collision risk. The impact of crash severity and crash type on after-crash traffic flows was also analyzed. The real-time crash risk prediction models can be used to estimate the collision possibilities based on the real-time ITS data. The models and analysis were based on the Nevada data so that they can be directly applied on Nevada freeways without additional calibration effort. The Nevada Data Exchange (NDEX) data warehouse developed and managed by the Nevada Department of Transportation (NDOT) has been reviewed for its capability of feeding real-time freeway ITS data to the models. The connection to the NDEX warehouse has been tested. This project prepared Nevada for the future implementation of real-time crash risk prediction along freeways.
Format:

PDF
Funding:

NDOT agreement 224-14-803 Task Order 10
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:a670ea474fc938cb639c003aec257b1c3adc3932edb356c68e0bf1e613767e0e
Download URL:

https://rosap.ntl.bts.gov/view/dot/32926/dot_32926_DS1.pdf
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Correlation Analysis of Freeway Traffic Status and Crashes with Nevada Data.

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