A Multiagent System for Optimizing Urban Traffic
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
Towards Truly Agent-Based Traffic and Mobility Simulations
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
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
Multiagent traffic management: an improved intersection control mechanism
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Optimization of traffic signal light timing using simulation
WSC '04 Proceedings of the 36th conference on Winter simulation
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A common mechanism that allows control of vehicular flow in big cities is the use of traffic lights. Generally, each traffic light on an intersection is assigned a constant green time. In last years several agent-based traffic simulators have been proposed to show how better results can be achieved with respect to traffic flow variables, like vehicles' route time and vehicles' waiting time. It is possible to propose agent-based coordination schemes where the green time of the traffic lights is assigned based on the present conditions of traffic. Due to those intelligent assignations on the traffic lights' green time, it's reasonable to think that vehicles' waiting time could be reduced. In this paper we compare two traffic light coordination mechanisms of an intersection that assign traffic lights' green time based on approximate information about traffic conditions. It is compared the vehicles' waiting time on the traditional mechanism with respect to an auction mechanism, in which the traffic lights are "selfish", and to a negotiation mechanism where the traffic lights work with a "non-selfish" approach in the intersection. Our results show that the negotiation mechanism, under certain conditions, gets better results over the traditional and auction mechanisms.