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Advanced Coordinated Traffic Responsive Ramp Metering Strategies

Author

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  • Bogenberger, Klaus
  • May, Adolf D.

Abstract

This report introduces different coordinated traffic responsive ramp control algorithms, implemented or not-implemented, but based on promising new mathematical techniques. A total of 17 different ramp metering approaches is described. For the already implemented algorithms, the historical background, the network, the algorithm and the main references are described. The proposed ramp control approaches are briefly described and the literature references are included. Two possible directions of ramp metering for the future are qualitatively described. Based on the literature review, online simulation and fuzzy logic seem to be two very powerful approaches to be considered in the future. The hierarchic and dynamic characteristics of the online simulation ramp control system are its unique features. The on-line simulation approach is designed to handle both recurring and non-recurring congestion situations. The adaptive fuzzy logic control approach allows a fast and reliable calibration of the existing parameters and the controller adapts itself to a new environment or to changes of the traffic patterns. Two different adaptive components, neuro-fuzzy systems (ANFIS) and evolutionary strategies are introduced. KEYWORDS: Ramp Metering, Fuzzy Logic, On-line Simulation, FREQ

Suggested Citation

  • Bogenberger, Klaus & May, Adolf D., 1999. "Advanced Coordinated Traffic Responsive Ramp Metering Strategies," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3pq977ts, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt3pq977ts
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    Citations

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    Cited by:

    1. Zhang, Lei & Levinson, David, 2010. "Ramp metering and freeway bottleneck capacity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(4), pages 218-235, May.
    2. Levinson, David & Zhang, Lei, 2006. "Ramp meters on trial: Evidence from the Twin Cities metering holiday," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 810-828, December.
    3. Zhang, Lei & Levinson, David, 2004. "Optimal freeway ramp control without origin-destination information," Transportation Research Part B: Methodological, Elsevier, vol. 38(10), pages 869-887, December.
    4. Kerner, Boris S., 2005. "Control of spatiotemporal congested traffic patterns at highway bottlenecks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(2), pages 565-601.
    5. Salvatore Trubia & Salvatore Curto & Salvatore Barberi & Alessandro Severino & Fabio Arena & Giovanni Pau, 2021. "Analysis and Evaluation of Ramp Metering: From Historical Evolution to the Application of New Algorithms and Engineering Principles," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
    6. Wu, Guoyuan & Zhao, Zhouqiao & Wang, Ziran & Barth, Matthew J., 2020. "Development of Eco-Friendly Ramp Control for Connected and Automated Electric Vehicles," Institute of Transportation Studies, Working Paper Series qt63r0f737, Institute of Transportation Studies, UC Davis.

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