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:
Language
- English
Project
- Status: Active
- Funding: $150000
-
Contract Numbers:
SPR21B4C
SPR21C4C
69A3551747111
-
Sponsor Organizations:
Maryland Department of Transportation State Highway Administration
707 North Calvert Street
Baltimore, MD United States 21202National University Transportation Center for Improving Mobility (Mobility21)
Carnegie Mellon University
Pittsburgh, PA United States 15213Office 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 21202National 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 21251Carnegie Mellon University
Pittsburgh, PA United States -
Principal Investigators:
Liu, Yi
Qian, Sean
- Start Date: 20210415
- Expected Completion Date: 20230531
- Actual Completion Date: 0
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