도시철도 혼잡도 상황인식 모델 정의

초록

If an accident occurs, it may leads large-scale disasters in urban transit service area because urban transit system is a mass transit that transports a lot of passengers at once. Urban transit operators feel the necessity to introduce the intelligent system to know the situations in the urban transit service area immediately, exactly, and automatically. It is one of the important elements to measure the crowd density in platforms or waiting rooms, etc. In this paper, we describe the definition for crowd density in urban transit area, and propose the context-awareness model to measure the crowd density. We expect that the definition is helpful to extract the elements that are need to construct the crowd density measuring system. The proposed model that is based on an image analysis model and a rule-based model is also helpful to design intelligent surveillance model.