A Survey on Traffic Flow Prediction Methods

作者: Ary Setijadi Prihatmanto , Rahadian Yusuf , Kevin Irawan

DOI: 10.1109/ICIDM51048.2020.9339675

关键词:

摘要: In order to grow efficiency in Intelligent Transportation System (ITS), a number of dynamic route guidance scheme has been designed assist driver determining the optimal for their journeys. To determine an route, utilizing real-time traffic information is key factor improving efficiency. Not only being able utilize information, but prediction proves as one important aspects this paper, we will discuss various methods related flow ITS that eventually lead proposed method. We review some papers methods. Traffic method divided into two general types: Short-Term Prediction and Long-Term relies on information; however, can be redundant daily recurring condition. On other end, time series collective data from condition routine, vulnerable atypical conditions like accident or road work. author propose create new sufficient This combines (short-term prediction) analysis (long-term prediction).

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