Adaptive traffic signal control for the fluctuations of the flow using a genetic algorithm.

Author(s)
Takahashi, S. Nakamura, H. Kazama, H. & Fujikura, T.
Year
Abstract

This paper describes adaptive traffic signal control for the fluctuations of flow using a genetic algorithm (GA). The target of signal control parameters for this study is offset that is difficult to optimize because of its variety of combinations. Offset optimization using GAs has been investigated in previous studies. Most of them however, focused on signal control in a condition where the traffic flow was fixed. In a practical scene, the rate of flow changes as time passes, so that offset-optimization considering these fluctuations of flow is required. As a case study, an urban traffic route in a city of the Chubu region in Japan, with twenty-one signalized intersections, was tested. To perform oKset-optimization by a GA, offset values were represented in a chromosome having the same number of genes as the signals. Two different conditions of trafFic flow, slow monotonous and rapid increase, were chosen for the simulation. The results show that the offset optimization technique used in this study was a valuable one for efficient signal control. For the covering abstract see ITRD E128239.

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Publication

Library number
C 35548 (In: C 35524 [electronic version only]) /73 / ITRD E128263
Source

In: Urban transport VIII : urban transport and the environment in the 21st century : proceedings of the Eighth International Conference on Urban Transport and The Environment in the 21st Century, Seville, Spain, 13-15 March 2002, p. 239-247, 3 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.