Active traffic management case study: phase 1 : final report.

Sharma, Anuj; Wang, Shuo; Khattak, Aemal J.; Iowa State University; Iowa State University. Institute for Transportation; Iowa State University. Dept. of Civil, Construction and Environmental Engineering; University of Nebraska--Lincoln. Dept. of Civil Engineering

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Active traffic management case study: phase 1 : final report.

2016-03-01
By Sharma, Anuj ; Wang, Shuo ; Khattak, Aemal J.

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English

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Details:

Creators:

Sharma, Anuj ; Wang, Shuo ; Khattak, Aemal J.

Sharma, Anuj ; Wang, Shuo ; Khattak, Aemal J. Less -
Corporate Creators:

Iowa State University ; Iowa State University. Institute for Transportation ; Iowa State University. Dept. of Civil, Construction and Environmental Engineering ; University of Nebraska--Lincoln. Dept. of Civil Engineering

Iowa State University ; Iowa State University. Institute for Transportation ; Iowa State University. Dept. of Civil, Construction and Environmental Engineering ; University of Nebraska--Lincoln. Dept. of Civil Engineering Less -
Corporate Contributors:

Nebraska. Dept. of Roads
Subject/TRT Terms:

[+]

Accident Risk Forecasting Case Studies Costs Feasibility Analysis Probits Ramp Metering Sensitivity Analysis Travel Time Urban Highways
Publication/ Report Number:

SPR-P1(14) M007
Resource Type:

Tech Report
Geographical Coverage:

United States ; Nebraska

United States ; Nebraska Less -
Edition:

Final report
Corporate Publisher:

Nebraska. Dept. of Roads
Abstract:

This study developed a systematic approach for using data from multiple sources to provide active traffic management

solutions. The feasibility of two active traffic management solutions is analyzed in this report: ramp-metering and real-time

crash risk estimation and prediction. Using a combined dataset containing traffic, weather, and crash data, this study

assessed crash likelihood on urban freeways and evaluated the economic feasibility of providing a ramp metering solution.

A case study of freeway segments in Omaha, Nebraska, was conducted. The impact of rain, snow, congestion, and other

factors on crash risk was analyzed using a binary probit model, and one of the major findings from the sensitivity analysis

was that a one-mile-per-hour increase in speed is associated with a 7.5% decrease in crash risk.

FREEVAL was used to analyze the economic feasibility of the ramp metering implementation strategy. A case study of a

6.3 mile segment on I-80 near downtown Omaha showed that, after applying ramp metering, travel time decreased from

9.3 minutes to 8.1 minutes and crash risk decreased by 37.5% during the rush hours. The benefits of reducing travel time

and crash cost can easily offset the cost of implementing ramp metering for this road section.

The results from the real-time crash risk prediction models developed for the studied road section are promising. A

sensitivity analysis was conducted on different models and different temporal and spatial windows to estimate/predict crash

risk. An adaptive boosting (AdaBoost) model using a 10 minute historical window of speeds obtained from 0.25 miles

downstream and 0.75 miles upstream was found to be the most accurate estimator of crash risk.
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:2b7e341916aa1cee4bf656f463923a1d0fea67c93cda85d7dea15ae79581cd47
Download URL:

https://rosap.ntl.bts.gov/view/dot/31121/dot_31121_DS1.pdf
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Active traffic management case study: phase 1 : final report.

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