Traffic Lights Control with Adaptive Group Formation Based on Swarm Intelligence
نویسندگان
چکیده
Several traffic control approaches address the problem of reducing traffic jams. A class of them deals with coordination of traffic lights to allow vehicles traveling in a given direction to pass an arterial without stopping. However, in cities where the business centers are no longer located exclusively downtown, this approach is not appropriate: simple offline optimization of the synchronization in one arterial alone cannot cope with changing traffic patterns. This paper is an extension of our previous models: In [1] a decentralized, swarm-based approach was presented, but we have not collected and analyzed information about the group formation. In [2] groups were considered and a technique from distributed constraint optimization was used, namely cooperative mediation. However, this mediation was not decentralized: group mediators communicate their decisions to the mediated agents in their groups and these agents just carry out the tasks. Also, the mediation process may take long in highly constrained scenarios, having a negative impact in the coordination mechanism. Therefore, a decentralized, swarm-based model of task allocation as presented here is necessary. The dynamic group formation without mediation combines the advantages of those two previous works (decentralization via swarm intelligence and dynamic group formation).
منابع مشابه
Swarm Intelligence Applied to Traffic Lights Group Formation
Several traffic control approaches address the problem of reducing traffic jams. A class of these approaches deals with coordination of traffic lights to allow vehicles traveling in a given direction to pass an arterial without stopping. This paper presents an approach where each traffic light behaves like a social insect, having coordinated signals plan as tasks to be performed. The model uses...
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