Field Test of Coordinated Ramp Metering (CRM)

Shladover, Steven; Lu, Xiao-Yun; Wu, Chen-Ju; Spring, John; University of California, Berkeley. Institute of Transportation Studies

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Field Test of Coordinated Ramp Metering (CRM)

2017-03-15
By Shladover, Steven ; Lu, Xiao-Yun ; Wu, Chen-Ju ; ...

English

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Details:

Creators:

Shladover, Steven ; Lu, Xiao-Yun ; Wu, Chen-Ju ; Spring, John

Shladover, Steven ; Lu, Xiao-Yun ; Wu, Chen-Ju ; Spring, John Less -
Corporate Creators:

University of California, Berkeley. Institute of Transportation Studies
Corporate Contributors:

California. Dept. of Transportation. Division of Research, Innovation, and System Information
Subject/TRT Terms:

[+]

Coordination Of Freeway Ramp Meters (CRM) Field Tests Freeway Ramp Metering (RM) Integrated Corridor Management Integrated Corridor Management (ICM) Local Responsive Performance Measurement System (PeMS) Ramp Metering Ramp Metering (LRRM)
Publication/ Report Number:

CA16-2445
Resource Type:

Tech Report
Geographical Coverage:

California ; United States

California ; United States Less -
Corporate Publisher:

California. Department of Transportation
Abstract:

This project has focused on field implementation and testing of a Coordinated Ramp Metering (CRM) algorithm at California State Route 99 Northbound corridor in Sacramento between Calvine Road and the SR50 interchange after 12th Ave. It is a 9 mile long corridor with 11 onramps to which the CRM algorithm has been applied. After refining the CRM algorithm using a microscopic simulation of the test site, the project team worked closely with Caltrans Headquarters Division of Traffic Operation and District 3 Freeway Operation for (a) finalizing the ConOps (b) real-time data acquisition from 2070 controllers in the field and establishing correct data mapping between field detectors and the controller in the CRM algorithm; (c) implementing the CRM algorithms as real-time code running on a PATH computer; (d) estimating realtime traffic state parameters; (e) system integration of all software modules and hardware components; (f) conducting three weeks of dryrun tests, two weeks of progressive switching-on, system tuning and preliminary test, and five weeks of extensive testing and data collection; and (h) accomplishing performance analysis with PeMS data. By comparing the VMT (Vehicle Miles Travelled), VHT (Vehicle Hours Travelled), and the ratio VMT/VHT during field tests in 2017 with data from 2016 in the same period, during the AM peak hours, VMT/VHT was increased by 7.25% on average, which indicated traffic improvement. During the PM peak hours, VMT/VHT decreased by 0.44% on average, which meant no traffic improvement. The reason was that the traffic was not congested most of the time in PM hours. This suggests that the CRM algorithm tested could be more effective for congested traffic.
Format:

PDF
Funding:

Contract 65A0537
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:352e942715399202abd75a0e04115d1c2945b85eed3575a3cbc9e2aa661c45f4
Download URL:

https://rosap.ntl.bts.gov/view/dot/32476/dot_32476_DS1.pdf
File Type:

[PDF-4.37 MB]