TY - JOUR
T1 - Traffic signal control for a multi-forked road
AU - Cui, Chengyou
AU - Takamura, Mizuki
AU - Lee, Heehyol
PY - 2011/9/1
Y1 - 2011/9/1
N2 - Traffic jams have become very serious at multiforked road intersections, and conventional pre-timed controls are less effective in such situations. In this article, a new traffic signal control system for multi-forked roads is proposed. First, the cellular automaton (CA) model is used to develop a traffic simulator for multi-forked roads. Next, a stochastic model of a traffic jam is built up. In addition, a new traffic signal control algorithm is designed using the optimization technique and a genetic algorithm (GA). Finally, the effectiveness of the proposed method is shown using actual traffic data with a traffic simulator.
AB - Traffic jams have become very serious at multiforked road intersections, and conventional pre-timed controls are less effective in such situations. In this article, a new traffic signal control system for multi-forked roads is proposed. First, the cellular automaton (CA) model is used to develop a traffic simulator for multi-forked roads. Next, a stochastic model of a traffic jam is built up. In addition, a new traffic signal control algorithm is designed using the optimization technique and a genetic algorithm (GA). Finally, the effectiveness of the proposed method is shown using actual traffic data with a traffic simulator.
KW - Bayesian network (BN)
KW - Cellular automaton (CA)
KW - Genetic algorithm (GA)
KW - Multi-forked
KW - Traffic signal control
KW - Urban microtraffic simulator
UR - http://www.scopus.com/inward/record.url?scp=80052429871&partnerID=8YFLogxK
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U2 - 10.1007/s10015-011-0929-5
DO - 10.1007/s10015-011-0929-5
M3 - Article
AN - SCOPUS:80052429871
SN - 1433-5298
VL - 16
SP - 253
EP - 257
JO - Artificial Life and Robotics
JF - Artificial Life and Robotics
IS - 2
ER -