Pattern recognition using neural networks: theory and algorithms for engineers and scientists
Pattern recognition using neural networks: theory and algorithms for engineers and scientists
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Recently in Korea, DMB TPEG service showing the optimal road while escaping the jammed way is popular. Such latest service also provides the traffic information after average 5 minutes of the recent traffic situation. Thus it cannot well reflect the present traffic information. Further, this service generates the problem that if it is away from the Metropolitan area, it cannot receive the traffic information to 100%. This thesis likes to provide the realtime traffic information as utilizing the intelligent agent to improve such problem and suggest the system which calculates optimal car speed in the real time as considering the conditions of intersection and of weather. The result of trial examination of system suggested in the thesis has proved that the system to forecast the traffic accident as utilizing the intelligent agent exactly calculates the traffic limit speed.