| Summary: | 碩士 === 國立東華大學 === 電機工程學系 === 92 === With the growth in Taiwan’s economy, the amount of vehicles increased year by year. Although the authorities pushed ahead with considerable public works in transportation, the boosting number of automobiles still heavily contributed to the traffic problem in urban area. For the purpose of utility in present communications to be efficient, most researcher focus on the phase control of intersections that mainly compose road system. This thesis proposed a Versatile Traffic Control System (VTCS) based on Petri Net and Queueing Theory instead of adopting stationary period to analyze instantaneous traffic flows. Under congestion, VTCS can automatically infer better strategy for all parameters of traffic signal control to improve the movement of single intersection.
The determination of traffic congestion in VTCS could be not objective by basing on the number of vehicle over two third of road capacity on single link. Therefore, for acquiring more objective conclusion we proposed IVTCS (Intelligent Versatile Traffic Control System). We know that the traffic is obviously a complex system, and it can’t be expressed as explicit mathematical equation or model. Hence, IVTCS adapts fuzzy theory and approaches the way of human being’s reasoning to making decision on uncertain conditions and improve the shortcoming of VTCS. Simulations on IVTCS and VTCS showed that in traffic control on intersection the former attain more efficient performance than the latter. So are compared with traditional stationary traffic control, we also got reasonable results to prove that adapting IVTCS is sensible than others.
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