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MTGPLP Approach for Traffic Signal Intelligent Control

Author

Listed:
  • Ya Li
  • Renhuai Liu
  • Yuanyang Zou
  • Yingshuang Ma
  • Guoxin Wang

Abstract

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.

Suggested Citation

  • Ya Li & Renhuai Liu & Yuanyang Zou & Yingshuang Ma & Guoxin Wang, 2020. "MTGPLP Approach for Traffic Signal Intelligent Control," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-18, August.
    • Handle: RePEc:hin:jnlmpe:8603598
    DOI: 10.1155/2020/8603598
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