Computer Science ›› 2020, Vol. 47 ›› Issue (6A): 66-69.doi: 10.11896/JsJkx.190600131

• Artificial Intelligence • Previous Articles     Next Articles

Signal Timing Scheme Recommendation Algorithm Based on Intersection Similarity

LUO Jia-lei and MENG Li-min   

  1. College of Information Engineering,ZheJiang University of Technology,Hangzhou 310023,China
  • Published:2020-07-07
  • About author:CHENG Zhe, born in 1994, postgra-duate.His main research interests include deep learning, computer vision and bioinformatics.LIANG Yu, born in 1968, postgraduate, professor, Ph.D supervisor.His main research interests include computer networks, software-defined networks and cloud computing.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61871349) and Natural Science Foundation of ZheJiang Pvovince,China (LY18F010024,LQ19F010013).

Abstract: Signal timing control is an important part of urban traffic control system,and traditional signal timing work requires a lot of manpower and time cost,and the implementation effect depends on the experience level of the staff.It is difficult to meet the needs of real-time regulation.Therefore,a signal timing scheme recommendation algorithm based on intersection similarity is proposed.The intersection similarity calculation is performed based on various static and dynamic attributes of the intersection to improve the accuracy of intersection matching.According to the recommendation method of collaborative filtering,the scheme of similar intersections is recommended to the target intersection to improve the accuracy and effectiveness of the signal timing work.The experimental results show that the proposed algorithm can accurately recommend the signal timing scheme and has lower algorithm complexity.It is suitable for signal timing scheme recommendation in the context of massive data.

Key words: Traffic control, Similarity, Collaborative filtering, Recommendation, Signal timing

CLC Number: 

  • TP391
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