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Lu, Hua-pu; Sun, Zhi-yuan; Qu, Wen-cong; Wang, Ling (2015)
Publisher: Hindawi Publishing Corporation
Journal: Mathematical Problems in Engineering
Languages: English
Types: Article
Subjects: TA1-2040, Mathematics, Engineering (General). Civil engineering (General), QA1-939, Article Subject

Classified by OpenAIRE into

arxiv: Computer Science::Networking and Internet Architecture
This paper focuses on the problems of short-term traffic flow forecasting. The main goal is to put forward traffic correlation model and real-time correction algorithm for traffic flow forecasting. Traffic correlation model is established based on the temporal-spatial-historical correlation characteristic of traffic big data. In order to simplify the traffic correlation model, this paper presents correction coefficients optimization algorithm. Considering multistate characteristic of traffic big data, a dynamic part is added to traffic correlation model. Real-time correction algorithm based on Fuzzy Neural Network is presented to overcome the nonlinear mapping problems. A case study based on a real-world road network in Beijing, China, is implemented to test the efficiency and applicability of the proposed modeling methods.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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