Design and Demonstration of an Arterial-Friendly Local Ramp Metering Control System

Highways and arterials are highly inter-dependent, but may have their own operational strategies and systems that do not necessarily synchronize. As a result, traffic queues can spillover from highway to arterials, or the other way around, leading to substantial congestion that worsens the system performance. Coordinating the signal control system on arterials and ramp metering control on ramps are key to mitigating such congestion. Most signal or ramp metering systems can alleviate queues locally to some extent under non-recurrent congestion (being responsive or reactive), but are not designed to prevent queuing from the occurrence of incidents (being predictive) nor mitigate congestion for the joint network. Managing traffic predictively (or proactively) and coordinating ramp metering and street signals among all relevant highway on-ramps/off-ramps can effectively improve the joint network performance. This research project addresses two problems for an integrated Transportation Systems Management and Operations (TSMO) system: ahead-of-curve prediction and system-level signal and ramp metering coordination, and quantify the network benefits of operational strategies to improve mobility/safety.

• Record URL:
  https://ppms.cit.cmu.edu/projects/detail/367

Language

• English

Project

• Status: Completed
• Funding: $150000
• Contract Numbers:

  SPR21B4C

  SPR21C4C

  69A3551747111

• Sponsor Organizations:

  Maryland Department of Transportation State Highway Administration

  707 North Calvert Street
  Baltimore, MD  United States  21202

  National University Transportation Center for Improving Mobility (Mobility21)

  Carnegie Mellon University
  Pittsburgh, PA  United States  15213

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Maryland Department of Transportation

  State Highway Administration, Office of Policy and Research
  707 North Calvert Street
  Baltimore, MD  United States  21202

  National University Transportation Center for Improving Mobility (Mobility21)

  Carnegie Mellon University
  Pittsburgh, PA  United States  15213
• Project Managers:

  Herrera Riggs, Saskia

  Kline, Robin

• Performing Organizations:

  Morgan State University

  School of Engineering, 1700 East Cold Spring Lane
  Baltimore, MD  United States  21251

  Carnegie Mellon University

  Pittsburgh, PA  United States 
• Principal Investigators:

  Liu, Yi

  Qian, Sean

• Start Date: 20210415
• Expected Completion Date: 20230531
• Actual Completion Date: 20230629

Subject/Index Terms

• TRT Terms: Advanced traffic management systems; Arterial highways; Data fusion; Machine learning; Ramp metering; Signalization; Traffic congestion
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01866359
• Record Type: Research project
• Source Agency: Maryland State Highway Administration
• Contract Numbers: SPR21B4C, SPR21C4C, 69A3551747111
• Files: UTC, RIP, STATEDOT
• Created Date: Dec 1 2022 10:56AM