Market-based control: a paradigm for distributed resource allocation
Market-based control: a paradigm for distributed resource allocation
Gossip-based aggregation in large dynamic networks
ACM Transactions on Computer Systems (TOCS)
Congestion tolls as utility alignment between agent and system optimum
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Distributed agent-based air traffic flow management
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Evaluating the performance of DCOP algorithms in a real world, dynamic problem
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Opportunities for multiagent systems and multiagent reinforcement learning in traffic control
Autonomous Agents and Multi-Agent Systems
A multiagent approach to autonomous intersection management
Journal of Artificial Intelligence Research
Wide-Area Traffic Simulation Based on Driving Behavior Model
PRIMA '09 Proceedings of the 12th International Conference on Principles of Practice in Multi-Agent Systems
A review of the applications of agent technology in traffic and transportation systems
IEEE Transactions on Intelligent Transportation Systems
Agent based information aggregation markets
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Accommodating driver preferences in reservation-based urban traffic management
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Collaborative Agents for Modeling Traffic Regulation Systems
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
A market-inspired approach for intersection management in urban road traffic networks
Journal of Artificial Intelligence Research
Distributed and adaptive traffic signal control within a realistic traffic simulation
Engineering Applications of Artificial Intelligence
Simulation of coordinated anticipatory vehicle routing strategies on MATSim
PRIMA'11 Proceedings of the 14th international conference on Agent Based Simulation for a Sustainable Society and Multi-agent Smart Computing
Engineering Applications of Artificial Intelligence
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Urban road traffic management is an example of a socially relevant problem that can be modelled as a large-scale, open, distributed system, composed of many autonomous interacting agents, which need to be controlled in a decentralized manner. Most models for urban road traffic management rely on control elements that act on traffic flows. Dresner and Stone have put forward the idea of an advanced urban road traffic infrastructure that allows for cars to individually reserve space and time at an intersection so as to be able to safely cross it. In this paper we extend Dresner and Stone's approach to networks of intersections. For this purpose, we draw upon market-inspired control methods as a paradigm for urban road traffic management. We conceive the system as a computational economy, where driver agents trade with infrastructure agents in a virtual marketplace, purchasing reservations to cross intersections when commuting through the city. We show that in situations of similar traffic load, an increase of the infrastructure's monetary benefit usually implies a decrease of the drivers' average travel times.