Summary: | 碩士 === 中華大學 === 電機工程學系碩士班 === 87 === As the vehicle is more and more popular and convenient,
the traffic congestion problem becomes one of the most
important things to solve in urban. The fixed-ratio traffic
signals control system can''t handle the traffic congestion
well, and the traffic police direction has the drawback of
heavy workload. On dealing with this problem, previous
literatures just study for simple junctions and have the
difficulty for implementation. This thesis combines fuzzy
logic and genetic algorithm for the crossroad traffic signals
control. Besides, the proposed vehicle flow simulation
environment with one sensor vehicle-flow grabbing method
makes our method practically.
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