Improving the Effectiveness of Smart Work Zone Technologies

Li, Yanning; Martinez Mori, Juan Carlos; Work, Daniel B.; Illinois Center for Transportation

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Improving the Effectiveness of Smart Work Zone Technologies

2016-11-01
By Li, Yanning ; Martinez Mori, Juan Carlos ; Work, Daniel B.

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Creators:

Li, Yanning ; Martinez Mori, Juan Carlos ; Work, Daniel B.

Li, Yanning ; Martinez Mori, Juan Carlos ; Work, Daniel B. Less -
Corporate Creators:

Illinois Center for Transportation
Corporate Contributors:

Illinois. Dept. of Transportation. Bureau of Materials and Physical Research ; United States. Federal Highway Administration

Illinois. Dept. of Transportation. Bureau of Materials and Physical Research ; United States. Federal Highway Administration Less -
Subject/TRT Terms:

[+]

Highway Maintenance Microsimulation Smart Work Zone Systems Traffic Estimation Work Zones Work Zone Traffic Control
Publication/ Report Number:

FHWA-ICT-16-021
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

Illinois Center for Transportation
Abstract:

This project evaluates the effectiveness of sensor network systems for work zone traffic estimation. The comparative analysis is performed on a work zone modeled in microsimulation and calibrated with field data from two Illinois work zones. Realistic error models are used to generate noisy measurements corresponding to Doppler radar sensors, remote traffic microwave sensors (RTMS), and low-energy radar (LER). The velocity, queue length, and travel time are estimated with three algorithms based on (1) interpolation, (2) spatio-temporal smoothing, and a (3) flow model–based Kalman filter. More than 700 sensor and algorithm configurations are evaluated, and the accuracy of the resulting traffic estimates are compared with the true traffic state from the microsimulation. The nonlinear Kalman filter provides up to 30% error reduction over other velocity estimators when the RTMS spacing exceeds 2 miles and generally offers the best performance for queue and travel time estimation.
Format:

PDF
Funding:

R27-155
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:48cdfd52c69168e2b624e0c40c51e140608ce1e06f6abf0d89a802cde6e95c2b
Download URL:

https://rosap.ntl.bts.gov/view/dot/31696/dot_31696_DS1.pdf
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Improving the Effectiveness of Smart Work Zone Technologies

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