한국철도학회:학술대회논문집 (Proceedings of the KSR Conference)
- 한국철도학회 1998년도 창립기념 춘계학술대회 논문집
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- Pages.211-218
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- 1998
Data Granulization을 이용한 수송수요예측에 관한 연구
Study on the Demand Prediction for Transportation System Utilizing Data Granulization
초록
The demand prediction becomes an essential mean to utilize efficiently finite traffic facilities and to provide the optimized schedules for transportation system. The demand prediction is one of the critical complex management schemes for distibuting resources of transportation service by means of computer system. The construction of a prediction model is based on data granulization, followed by processing the raw input data and evaluating the predicted output values. A large number of economic-social parameters are also to be implemented in conventional prediction models which are only based on a sequence of past data. The proposed prediction models are classified by static and dynamic characteristics and its performances are evaluated utilizing computer simulation.
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