Multi-Agent Reinforcement Learning Control for Ramp Metering

Ahmed Fares; Walid Gomaa

doi:10.1007/978-3-319-08422-0_25

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Multi-Agent Reinforcement Learning Control for Ramp Metering

Ahmed Fares Walid Gomaa

Year: 2014 Advances in intelligent systems and computing Pages: 167-173 Publisher: Springer Nature

DOI: 10.1007/978-3-319-08422-0_25

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Keywords:

Reinforcement learning Metering mode Computer science VisSim Markov decision process Traffic congestion Fuel efficiency Traffic flow (computer networking) Markov process Real-time computing Distributed computing Simulation Engineering Artificial intelligence Computer network Transport engineering Automotive engineering Microsimulation

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Topics

Traffic control and management

Physical Sciences → Engineering → Control and Systems Engineering

Transportation Planning and Optimization

Social Sciences → Social Sciences → Transportation

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Multi-Agent Reinforcement Learning Control for Ramp Metering

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