Ramp Metering for a Distant Downstream Bottleneck Using Reinforcement Learning with Value Function Approximation
Author:
Affiliation:
1. C2SMART Center, New York University, NYU Civil Engineering, 6 Metrotech Center, Brooklyn 11201, NY, USA
2. Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, 4505 S. Maryland Pkwy, Las Vegas 89154-4026, NV, USA
Abstract
Funder
C2SMART University Transportation Center
Publisher
Hindawi Limited
Subject
Strategy and Management,Computer Science Applications,Mechanical Engineering,Economics and Econometrics,Automotive Engineering
Link
http://downloads.hindawi.com/journals/jat/2020/8813467.pdf
Reference41 articles.
1. Freeway ramp metering: an overview
2. Alinea: a local feedback control law for on-ramp metering;M. Papageorgiou;Transportation Research Record,1991
3. System dynamics and feedback control design problem formulations for real time ramp metering;P. Kachroo;Journal of Integrated Design and Process Science,2000
4. Modeling and paramics based evaluation of new local freeway ramp metering strategy that takes into account ramp queues;K. Ozbay;Transportation Research Record,1867
5. Feedback Ramp Metering for Intelligent Transportation System;P. Kachroo,2003
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