Adaptive Traffic Signal Control For The Fluctuations Of The Flow Using A Genetic Algorithm
Free (open access)
S. Takahashi, H. Nakamura, H. Kazama & T. Fujikura
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 offset-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.