Improving the Effectiveness of Smart Work Zone Technologies

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

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https://hdl.handle.net/2142/94999 Copy

Description

Title

Improving the Effectiveness of Smart Work Zone Technologies

Author(s)

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

Issue Date

2016-11

Keyword(s)

• smart work zone systems
• traffic estimation
• microsimulation

Date of Ingest

2017-01-13T17:20:32Z

Geographic Coverage

Illinois

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.

Publisher

Illinois Center for Transportation/Illinois Department of Transportation

Series/Report Name or Number

Illinois Center for Transportation Series No. 16‐023

ISSN

0197-9191

Type of Resource

text

Genre of Resource

Technical Report

Language

en

Permalink

http://hdl.handle.net/2142/94999

Sponsor(s)/Grant Number(s)

Illinois Department of Transportation, R27-155

Copyright and License Information

No restrictions. This document is available through the National Technical Information Service, Springfield, VA 22161.

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