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A review on agent-based technology for traffic and transportation

Knowledge engineering review, 2014-06, Vol.29 (3), p.375-403

2014

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Hierarchical traffic signal optimization using reinforcement learning and traffic prediction with long-short term memory

Expert systems with applications, 2021-06, Vol.171, p.114580, Article 114580

2021

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Reinforcement learning in urban network traffic signal control: A systematic literature review

Expert systems with applications, 2022-08, Vol.199, p.116830, Article 116830

2022

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Agent‐Based Modeling and Simulation

The AI magazine, 2012-09, Vol.33 (3), p.29-40

2012

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Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework

IEEE transactions on intelligent transportation systems, 2018-08, Vol.19 (8), p.2493-2504

2018

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A reinforcement learning-based multi-agent framework applied for solving routing and scheduling problems

Expert systems with applications, 2019-10, Vol.131, p.148-171

2019

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Using Reinforcement Learning to Control Traffic Signals in a Real-World Scenario: An Approach Based on Linear Function Approximation

IEEE transactions on intelligent transportation systems, 2022-07, Vol.23 (7), p.9126-9135

2022

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Holonic multi-agent system for traffic signals control

Engineering applications of artificial intelligence, 2013-05, Vol.26 (5-6), p.1575-1587

2013

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Aligning individual and collective welfare in complex socio-technical systems by combining metaheuristics and reinforcement learning

Engineering applications of artificial intelligence, 2019-03, Vol.79, p.23-33

Bazzan, Ana L.C.

2019

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Opportunities for multiagent systems and multiagent reinforcement learning in traffic control

Autonomous agents and multi-agent systems, 2009-06, Vol.18 (3), p.342-375

Bazzan, Ana L. C.

2009

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A comparative evaluation of aggregation methods for machine learning over vertically partitioned data

Expert systems with applications, 2020-08, Vol.152, p.113406, Article 113406

2020

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Hierarchical control of traffic signals using Q-learning with tile coding

Applied intelligence (Dordrecht, Netherlands), 2014-03, Vol.40 (2), p.201-213

2014

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PRIMA 2017: Principles and Practice of Multi-Agent Systems : 20th International Conference, Nice, France, October 30 - November 3, 2017, Proceedings

1st Edition 2017, 2017

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Experience classification for transfer learning in traffic signal control

The Journal of supercomputing, 2021, Vol.77 (1), p.780-795

2021

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Guest editorial: Role of agents in traffic and transportation

Computer Science and Information Systems, 2024, Vol.21 (1), p.v-vi

2024

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Agents in Traffic and Transportation (ATT 2022): Revised and Extended Papers

Ai communications, 2024-01, Vol.37 (2), p.185-187

2024

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Sharing diverse information gets driver agents to learn faster: an application in en route trip building

PeerJ. Computer science, 2021-03, Vol.7, p.e428-e428, Article e428

2021

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Liar liar, pants on fire; or how to use subjective logic and argumentation to evaluate information from untrustworthy sources

The Artificial intelligence review, 2017-08, Vol.48 (2), p.219-235

2017

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Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control

PeerJ. Computer science, 2021-05, Vol.7, p.e575-e575, Article e575

2021

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Analysing the impact of travel information for minimising the regret of route choice

Transportation research. Part C, Emerging technologies, 2018-03, Vol.88, p.257-271

2018

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Social choice in distributed classification tasks: Dealing with vertically partitioned data

Information sciences, 2016-03, Vol.332, p.56-71

2016

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RFMirTarget: predicting human microRNA target genes with a random forest classifier

PloS one, 2013-07, Vol.8 (7), p.e70153-e70153

2013

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Comparing reinforcement learning algorithms for a trip building task: A multi-objective approach using non-local information

Computer Science and Information Systems, 2024, Vol.21 (1), p.291-308

2024

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Accelerating route choice learning with experience sharing in a commuting scenario: An agent-based approach

Ai communications, 2021-01, Vol.34 (1), p.105-119

2021

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A New Microscopic Approach to Traffic Flow Classification Using a Convolutional Neural Network Object Detector and a Multi-Tracker Algorithm

IEEE transactions on intelligent transportation systems, 2022-04, Vol.23 (4), p.3797-3801

2022

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A review on agent-based technology for traffic and transportation

Hierarchical traffic signal optimization using reinforcement learning and traffic prediction with long-short term memory

Reinforcement learning in urban network traffic signal control: A systematic literature review

Agent‐Based Modeling and Simulation

Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework

A reinforcement learning-based multi-agent framework applied for solving routing and scheduling problems

Using Reinforcement Learning to Control Traffic Signals in a Real-World Scenario: An Approach Based on Linear Function Approximation

Holonic multi-agent system for traffic signals control

Aligning individual and collective welfare in complex socio-technical systems by combining metaheuristics and reinforcement learning

Opportunities for multiagent systems and multiagent reinforcement learning in traffic control

A comparative evaluation of aggregation methods for machine learning over vertically partitioned data

Hierarchical control of traffic signals using Q-learning with tile coding

PRIMA 2017: Principles and Practice of Multi-Agent Systems : 20th International Conference, Nice, France, October 30 - November 3, 2017, Proceedings

Experience classification for transfer learning in traffic signal control

Guest editorial: Role of agents in traffic and transportation

Agents in Traffic and Transportation (ATT 2022): Revised and Extended Papers

Sharing diverse information gets driver agents to learn faster: an application in en route trip building

Liar liar, pants on fire; or how to use subjective logic and argumentation to evaluate information from untrustworthy sources

Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control

Analysing the impact of travel information for minimising the regret of route choice

Social choice in distributed classification tasks: Dealing with vertically partitioned data

RFMirTarget: predicting human microRNA target genes with a random forest classifier

Comparing reinforcement learning algorithms for a trip building task: A multi-objective approach using non-local information

Accelerating route choice learning with experience sharing in a commuting scenario: An agent-based approach

A New Microscopic Approach to Traffic Flow Classification Using a Convolutional Neural Network Object Detector and a Multi-Tracker Algorithm

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