Adaptive Fuzzy Logic Traffic Signal Control Based on Cuckoo Search Algorithm

  • Suhua Wu
  • Yunrui BiEmail author
  • Gang Wang
  • Yan Ma
  • Mengdan Lu
  • Kui Xu
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 127)


Traffic congestion becomes a big problem to perplex the current society. Effective traffic signal control can alleviate traffic congestion, especially for real-time traffic signal control. To improve the control efficiency, fuzzy logic control based on cuckoo search algorithm is applied to solve the problem of real-time traffic signal control. Research object is multi-lane four-phase single intersection which is also the commonly intersection in reality. Vehicular evaluation index model is established firstly. Then, the appropriate green time is given by the cuckoo search algorithm and fuzzy logic control according to the number of real-time road vehicles. Through simulation experiments, the proposed method based on the fuzzy logic control optimized by cuckoo search algorithm can be verified to obtain a good effect. This method also suits for other complex nonlinear systems.


Fuzzy logic control Cuckoo algorithm Real-time traffic signal control 



The project is supported by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (No. 18KJB510016), School-level Project of Nanjing Institute of Technology (No. YKJ201718, No. JCYJ201819), Practical Innovation Training Program of Jiangsu Province for College Students (No. 201811276051X) and a Project Funded by the Priority Academic Development of Jiangsu Higher Education Institutions.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Suhua Wu
    • 1
  • Yunrui Bi
    • 1
    • 2
    Email author
  • Gang Wang
    • 3
  • Yan Ma
    • 1
  • Mengdan Lu
    • 1
  • Kui Xu
    • 1
  1. 1.School of AutomationNanjing Institute of TechnologyNanjingChina
  2. 2.Key Laboratory of Measurement and Control of CSE, Ministry of EducationSoutheast UniversityNanjingChina
  3. 3.School of BusinessQingdao UniversityQingdaoChina

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