SIGNAL TIMING DETERMINATION USING GENETIC ALGORITHMS

摘要: The implementation of a genetic algorithm (GA) (an artificial intelligence technique) to produce optimal or near-optimal intersection traffic signal timing strategies is described. focus on examining this application within simple situation, giving the reader clear understanding how used. problem involves finding strategy that produces smoothest flow with least average automobile delay. domain has many tentative solutions. Therefore, design expected benefit from parallel, global, and robust search characteristics GAs. This gain realized simulated four-intersection network in current implementation. GA, by considering moves among multiple intersections (through simulation), can find logical, configuration. When configuration used corresponding real-world minimal total delay expected.