Demonstration-Guided Deep Reinforcement Learning for Coordinated Ramp Metering and Perimeter Control in Large Scale Networks
نویسندگان
چکیده
منابع مشابه
Coordinated Ramp Metering and Intersection Signal Control
The operations of freeway ramp metering and urban traffic network signal control are independent in most areas. Such situation may cause some conflict between traffic streams of the two subsystems, or, at least, their dynamic interactions have not been taken into account from an overall system viewpoint. Traffic performance can be improved if the controls of these two subnetworks are integrated...
متن کاملCoordinated Ramp Metering for Freeways
Freeways were originally conceived to provide virtually unlimited mobility to road users. However, the continuous increase in car ownership and demand has led to a steady increase (in space and time) of recurrent and nonrecurrent freeway congestion, particularly within and around metropolitan areas. Freeway congestion causes excessive delays, increases fuel consumption and environmental polluti...
متن کاملAnticipative model predictive control for ramp metering in freeway networks
When implementing ramp metering in the context of freeway networks, traffic can spontaneously re-route due to the applied control actions. Although this re-routing can have an important impact on the resulting traffic situation in the traffic network and on the performance of the traffic network as a whole, re-routing is not automatically included in current model predictive frameworks for free...
متن کاملAnticipative ramp metering control for freeway traffic networks
We develop an anticipative model-based predictive traffic control approach for ramp metering in freeway traffic networks. If ramp metering is implemented in a freeway network with alternative routes, traffic can spontaneously re-route due to the response of the drivers to the applied control actions. Although spontaneous re-routing can have a significant influence on the resulting traffic situa...
متن کاملGuided Deep Reinforcement Learning for Swarm Systems
In this paper, we investigate how to learn to control a group of cooperative agents with limited sensing capabilities such as robot swarms. The agents have only very basic sensor capabilities, yet in a group they can accomplish sophisticated tasks, such as distributed assembly or search and rescue tasks. Learning a policy for a group of agents is difficult due to distributed partial observabili...
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ژورنال
عنوان ژورنال: Social Science Research Network
سال: 2023
ISSN: ['1556-5068']
DOI: https://doi.org/10.2139/ssrn.4380256