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MTGPLP Approach for Traffic Signal Intelligent Control
Joint Authors
Li, Ya
Liu, Renhuai
Zou, Yuanyang
Ma, Yingshuang
Wang, Guoxin
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-17
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
In this paper, we state a combining programming approach to optimize traffic signal control problem.
The objective of the model is to minimize the total queue length with weight factors at the end of each phase.
Then, modified Twin Gaussian Process (MTGP) is employed to predict the arrival rates for the traffic signal control problem.
For achieving automatic control of the traffic signal, an intelligent control method of the traffic signal is proposed in view of the combining method, that is to say, the combining method of MTGP and LP, called MTGPLP, is embraced in the intelligent control system.
Furthermore, some numerical experiments are proposed to test the validity of the model and the MTGPLP approach.
In particular, the results of numerical experiments show that the model is effective with different arrival rates, departure rates, and weight factors and the combining method is successful.
American Psychological Association (APA)
Li, Ya& Liu, Renhuai& Zou, Yuanyang& Ma, Yingshuang& Wang, Guoxin. 2020. MTGPLP Approach for Traffic Signal Intelligent Control. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1201471
Modern Language Association (MLA)
Li, Ya…[et al.]. MTGPLP Approach for Traffic Signal Intelligent Control. Mathematical Problems in Engineering No. 2020 (2020), pp.1-18.
https://search.emarefa.net/detail/BIM-1201471
American Medical Association (AMA)
Li, Ya& Liu, Renhuai& Zou, Yuanyang& Ma, Yingshuang& Wang, Guoxin. MTGPLP Approach for Traffic Signal Intelligent Control. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1201471
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201471