Learning cooperative lane selection strategies for highways
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
An adaptive interactive agent for route advice
Proceedings of the third annual conference on Autonomous Agents
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
Managing Autonomous Vehicles at Intersections
IEEE Intelligent Systems
Multi-Agent Reinforcement Leraning for Traffic Light Control
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Cooperative Autonomous Driving at the Intelligent Control Systems Laboratory
IEEE Intelligent Systems
Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
A Distributed Approach for Coordination of Traffic Signal Agents
Autonomous Agents and Multi-Agent Systems
Evolving a real-world vehicle warning system
Proceedings of the 8th annual conference on Genetic and evolutionary computation
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Multiagent traffic management: opportunities for multiagent learning
LAMAS'05 Proceedings of the First international conference on Learning and Adaption in Multi-Agent Systems
Market-based coordination for intersection control
Proceedings of the 2009 ACM symposium on Applied Computing
A market-inspired approach to reservation-based urban road traffic management
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
A review of the applications of agent technology in traffic and transportation systems
IEEE Transactions on Intelligent Transportation Systems
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
A multiagent framework for coordinated parallel problem solving
Applied Intelligence
Distributed geometric fuzzy multiagent urban traffic signal control
IEEE Transactions on Intelligent Transportation Systems
Information and Management
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Batch reservations in autonomous intersection management
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
TaxiSim: A Multiagent Simulation Platform for Evaluating Taxi Fleet Operations
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Evaluation of an automated mechanism for generating new regulations
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
A Platform for Evaluating Autonomous Intersection Management Policies
ICCPS '12 Proceedings of the 2012 IEEE/ACM Third International Conference on Cyber-Physical Systems
Using experience to generate new regulations
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
The increasing cost tree search for optimal multi-agent pathfinding
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Experiences using a miniature vehicular network testbed
Proceedings of the ninth ACM international workshop on Vehicular inter-networking, systems, and applications
Modeling agent-based traffic simulation properties in Alloy
Proceedings of the 2012 Symposium on Agent Directed Simulation
Genetic optimization of a vehicle fuzzy decision system for intersections
Expert Systems with Applications: An International Journal
A market-inspired approach for intersection management in urban road traffic networks
Journal of Artificial Intelligence Research
Formalizing the construction of populations in multi-agent simulations
Engineering Applications of Artificial Intelligence
Distributed and adaptive traffic signal control within a realistic traffic simulation
Engineering Applications of Artificial Intelligence
The increasing cost tree search for optimal multi-agent pathfinding
Artificial Intelligence
Automated synthesis of normative systems
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Collision free autonomous ground traffic: a model predictive control approach
Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems
Optimal pricing for improving efficiency of taxi systems
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Artificial intelligence research is ushering in a new era of sophisticated, mass-market transportation technology. While computers can already fly a passenger jet better than a trained human pilot, people are still faced with the dangerous yet tedious task of driving automobiles. Intelligent Transportation Systems (ITS) is the field that focuses on integrating information technology with vehicles and transportation infrastructure to make transportation safer, cheaper, and more efficient. Recent advances in ITS point to a future in which vehicles themselves handle the vast majority of the driving task. Once autonomous vehicles become popular, autonomous interactions amongst multiple vehicles will be possible. Current methods of vehicle coordination, which are all designed to work with human drivers, will be outdated. The bottleneck for roadway efficiency will no longer be the drivers, but rather the mechanism by which those drivers' actions are coordinated. While open-road driving is a well-studied and more-or-less-solved problem, urban traffic scenarios, especially intersections, are much more challenging. We believe current methods for controlling traffic, specifically at intersections, will not be able to take advantage of the increased sensitivity and precision of autonomous vehicles as compared to human drivers. In this article, we suggest an alternative mechanism for coordinating the movement of autonomous vehicles through intersections. Drivers and intersections in this mechanism are treated as autonomous agents in a multiagent system. In this multiagent system, intersections use a new reservation-based approach built around a detailed communication protocol, which we also present. We demonstrate in simulation that our new mechanism has the potential to significantly outperform current intersection control technology--traffic lights and stop signs. Because our mechanism can emulate a traffic light or stop sign, it subsumes the most popular current methods of intersection control. This article also presents two extensions to the mechanism. The first extension allows the system to control human-driven vehicles in addition to autonomous vehicles. The second gives priority to emergency vehicles without significant cost to civilian vehicles. The mechanism, including both extensions, is implemented and tested in simulation, and we present experimental results that strongly attest to the efficacy of this approach.