Abstract
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.
Original language | English |
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Pages (from-to) | 253-257 |
Number of pages | 5 |
Journal | Artificial Life and Robotics |
Volume | 16 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2011 Sept 1 |
Keywords
- Bayesian network (BN)
- Cellular automaton (CA)
- Genetic algorithm (GA)
- Multi-forked
- Traffic signal control
- Urban microtraffic simulator
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Artificial Intelligence