Open AccessResearch of intelligent traffic flow prediction algorithm
Author(s) -
Min Tu,
Baoshan Liu,
Fang-qiang Zhong
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1423/1/012038
Subject(s) - computer science , traffic flow (computer networking) , intelligent transportation system , process (computing) , cluster analysis , data mining , basis (linear algebra) , support vector machine , flow (mathematics) , multiplication (music) , artificial intelligence , algorithm , engineering , transport engineering , mathematics , geometry , computer security , operating system , combinatorics
With the rapid development of transportation industry, how to carry out intelligent traffic flow prediction has become an urgent issue. In this paper, compared with the single algorithm traffic flow prediction model, we propose a new method for modelling that combines the minimum multiplication support vector machine and clustering algorithm to predict the traffic flow, which provides the basis for scientific traffic management and decision-making process.