An adaptive interactive agent for route advice
Proceedings of the third annual conference on Autonomous Agents
Scheduling with conflicts, and applications to traffic signal control
Proceedings of the seventh annual ACM-SIAM symposium on Discrete algorithms
Probabilistic analysis for scheduling with conflicts
SODA '97 Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms
Neural Network Perception for Mobile Robot Guidance
Neural Network Perception for Mobile Robot Guidance
Multiagent Systems: A Survey from a Machine Learning Perspective
Autonomous Robots
Cooperative Autonomous Driving at the Intelligent Control Systems Laboratory
IEEE Intelligent Systems
Using cooperative mediation to coordinate traffic lights: a case study
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Multiagent traffic management: an improved intersection control mechanism
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Smooth traffic flow with a cooperative car navigation system
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Cooperative Multi-Agent Learning: The State of the Art
Autonomous Agents and Multi-Agent Systems
Traffic light control through agent-based coordination
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
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
Aligning social welfare and agent preferences to alleviate traffic congestion
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
A new approach to cooperative pathfinding
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Replacing the stop sign: unmanaged intersection control for autonomous vehicles
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Agent-Based Traffic Control Using Auctions
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
Collective Pathfinding in Dynamic Environments
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Opportunities for multiagent systems and multiagent reinforcement learning in traffic control
Autonomous Agents and Multi-Agent Systems
Using context and behavioral patterns for intelligent traffic management
Proceedings of the 1st International Workshop on Context-Aware Middleware and Services: affiliated with the 4th International Conference on Communication System Software and Middleware (COMSWARE 2009)
GreenWave distributed traffic intersection control
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Communication during learning in heterogeneous teams of learning agents
Intelligent Decision Technologies
Traffic intersections of the future
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
A multiagent approach to autonomous intersection management
Journal of Artificial Intelligence Research
Learning and multiagent reasoning for autonomous agents
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Sharing the road: autonomous vehicles meet human drivers
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Urban traffic control with co-fields
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
Learning in groups of traffic signals
Engineering Applications of Artificial Intelligence
Trajectory planning in a crossroads for a fleet of driverless vehicles
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Adaptive traffic signal control based on vehicle route sharing by wireless communication
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part IV
To adapt or not to adapt: consequences of adapting driver and traffic light agents
ALAMAS'05/ALAMAS'06/ALAMAS'07 Proceedings of the 5th , 6th and 7th European conference on Adaptive and learning agents and multi-agent systems: adaptation and multi-agent learning
Multiagent traffic management: opportunities for multiagent learning
LAMAS'05 Proceedings of the First international conference on Learning and Adaption in Multi-Agent Systems
Complete algorithms for cooperative pathfinding problems
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Genetic optimization of a vehicle fuzzy decision system for intersections
Expert Systems with Applications: An International Journal
Distributed and adaptive traffic signal control within a realistic traffic simulation
Engineering Applications of Artificial Intelligence
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Traffic congestion is one of the leading causes of lost productivity and decreased standard of living in urban settings. Recent advances in artificial intelligence suggest vehicle navigation by autonomous agents will be possible in the near future. In this paper, we propose a reservation-based system for alleviating traffic congestion, specifically at intersections, and under the assumption that the cars are controlled by agents. First, we describe a custom simulator that we have created to measure the different delays associated with conducting traffic through an intersection. Second, we specify a precise metric for evaluating the quality of traffic control at an intersection. Using this simulator and this metric, we show that our reservation-based system can perform two to three hundred times better than traffic lights. As a result, it can smoothly handle much heavier traffic conditions. We show that our system very closely approximates an overpass, which is the optimal solution for the problem with which we are dealing.