Autonomous Traffic Signal Control Model with Neural Network Analogy

Details Autonomous Traffic Signal Control Model with Neural Network Analogy Autonomous Traffic Signal Control Model with Neural Network Analogy

1997-04-18

arxiv.org/abs/adap-org/9704005v1

Nonlinear Sciences

Adaptation and Self-Organizing Systems

9 pages, 4 figures Also available from Sony Computer Science Laboratory Web page http://www.csl.sony.co.jp/

Scientific paper

We propose here an autonomous traffic signal control model based on analogy with neural networks. In this model, the length of cycle time period of traffic lights at each signal is autonomously adapted. We find a self-organizing collective behavior of such a model through simulation on a one-dimensional lattice model road: traffic congestion is greatly diffused when traffic signals have such autonomous adaptability with suitably tuned parameters. We also find that effectiveness of the system emerges through interactions between units and shows a threshold transition as a function of proportion of adaptive signals in the model.

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