Development and Implementation of Coordinated Adaptive Ramp Metering (CARM) in Southern California Interstates for Congestion Mitigation

The goal of this proposed Coordinated Adaptive Ramp Metering (CARM) implementation project is to mitigate congestion and improve traffic flow along the interstate I-15 corridor in the Southern California region. This advanced traffic management system aims to optimize freeway operations by dynamically adjusting ramp metering rates based on real-time traffic conditions across the entire I-15 corridor. By implementing CARM, the project seeks to increase average speeds, reduce travel times, enhance safety, and improve overall traffic efficiency. The existing ramp metering approach at key on-ramps such as Magnolia Ave, Ontario Ave, El Cerrito Road, and Cajalco Road lacks automatic responsiveness to crashes and lane-blocking events, coordination across multiple ramps, and optimal queue distribution to increase corridor throughput[1].

To address these issues, a Coordinated Adaptive Ramp Metering (CARM) system is proposed. CARM is an advanced traffic management strategy that dynamically adjusts ramp metering rates based on real-time traffic conditions across an entire freeway corridor[2]. This system aims to optimize freeway operations by a) Coordinating multiple ramp meters to work together, balancing the flow of vehicles entering the freeway b) Using centralized adaptive algorithms to analyze data from the entire corridor and adjust metering behavior accordingly c) Maximizing freeway throughput while minimizing queues on the ramps d) Responding in real-time to traffic incidents and congestion.

The project will implement the following objectives- (1) Develop and implement a CARM system on I-15 southbound between SR-91 and Cajalco Road to reduce PM peak period congestion by automatically adjusting metering rates in response to real-time traffic conditions, including crashes and lane-blocking events. (2) Optimize ramp metering algorithms to distribute queues across multiple on-ramps (Magnolia Ave, Ontario Ave, El Cerrito Road, and Cajalco Road) to increase overall corridor throughput during peak periods.

[1] Supernak, J., Golob, J. M., Kawada, K., & Golob, T. F. (1998). San Diego's I-15 Congestion Pricing Project: Preliminary Findings.

[2] Hammond, P. (2023, October 31). Transportation troubleshooting: Coordinated and adaptive ramp metering for faster, safer highways. Informed Infrastructure. https://informedinfrastructure.com/91514/transportation-troubleshooting-coordinated-and-adaptive-ramp-metering-for-faster-safer-highways/

USDOT Priorities:

The USDOT Strategic Plan for FY 2022-2026 prioritizes strategies that improve system operations to increase travel time reliability, manage travel demand, and improve connectivity. This project directly aligns with those strategies by promoting the adoption of transportation management and operations (TSMO) practices. Also, this project improves travel time reliability on congested corridors. This project is aligned with Objective 1 of MCEEST’s goals - Create a safer, more reliable, and more resilient transportation system that improves equity through increased access to jobs, housing, services, and other opportunities for historically underserved communities. Interstate 15 in the San Bernardino and Riverside counties in California passes through historically disadvantaged communities. The congestion on I-15 is a major reason why these communities have difficulties accessing jobs and services.

Principal Investigator: 
Shams Tanvir, Ph.D., P.E.
PI Contact Information: 

shams.tanvir@csulb.edu

CSU Long Beach

Funding Source(s) and Amounts Provided (by each agency or organization): 

Federal - $99,998 Non-Federal - 0

Total Project Cost: 
$99,998
Agency ID or Contract Number: 
69A3552348328
Dates: 
February 2025 to April 2026
Implementation of Research Outcomes: 

In close collaboration with the California Department of Transportation (Caltrans) District 8, the proposed solution will implement a CARM system on Southbound I-15 between Magnolia Avenue and Temescal Canyon Road initially, and a future phase will expand to both directions of I-15. The research team will prepare a comprehensive report summarizing the entire project, including methodology, results, and key findings. They will document the CARM code thoroughly and create a user guide for model implementation in other Caltrans districts. All the developed codes and datasets will be uploaded to GitHub with proper documentation for open-source use. Additionally, the team will develop a concise two-page policy brief highlighting the congestion reduction potential of the CARM. The deliverables will include the final project report, code documentation with a user guide, and a policy brief.

Impacts/Benefits of Implementation: 

Previous implementations of CARM systems combined with other Intelligent Transportation Systems (ITS) have resulted in improvements in travel time reliability, increased traffic flow and speeds, and reduction in crash rates. This study will implement a customized CARM system for Caltrans District 8 that is expected to provide similar outcomes. The codes and dataset produced from this project will help other agencies in the US interested in implementing a CARM system. The policy brief will create awareness among the broader traffic engineering community on the benefits of implementing a CARM system.

Project Number: 
2510

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CSUTC
MCEEST
MCTM
NTFC
NTSC

Contact Us

SJSU Research Foundation   210 N. 4th Street, 4th Floor, San Jose, CA 95112    Phone: 408-924-7560   Email: mineta-institute@sjsu.edu