Journal of Jilin University(Engineering and Technology Edition) ›› 2023, Vol. 53 ›› Issue (1): 124-131.doi: 10.13229/j.cnki.jdxbgxb20210513

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Traffic sub⁃area division method based on density peak clustering

Lu WEI1(),Lei GAO1,2,Jin-hong LI2(),Jian YANG1,2,Yu-lin TIAN1   

  1. 1.Beijing Key Laboratory of Urban Road Traffic Intelligent Control Technology，North China University of Technology，Beijing 100144，China
    2.School of Information Science and Technology，North China University of Technology，Beijing 100144，China
  • Received:2021-06-07 Online:2023-01-01 Published:2023-07-23
  • Contact: Jin-hong LI E-mail:wltop001@sina.com;ljh@ncut.edu.cn

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Abstract:

To improve the efficiency of urban traffic signal control system， this paper proposes a sub-area division method based on vehicle trajectory data and density peak clustering. Firstly， the correlation index between adjacent intersections is calculated by combining the influence of distance between intersections， vehicle delays and platoon dispersion based on vehicle trajectory data. Secondly， the distance matrix is obtained according to the correlation indexes， which is used as the input of the density peak clustering algorithm. For the hyperparameter determination in density peak clustering， the concept of potential entropy in the data field theory is introduced to optimize. Simultaneously， the elbow rule is used to determine the number of clusters. Finally， the division of sub-areas is completed by using the improved clustering algorithm. The experiment on real-world vehicle trajectory data in Zhongguancun West District of Beijing shows that the proposed method could divide the road network into sub-area effectively and reasonably based on vehicle trajectory data only.

Key words: transportation information engineering and control, sub-area division, vehicle trajectory, intersection correlation degree, density peak clustering

CLC Number: 

  • U491.1

Fig.1

Distribution of sampling time differences"

Fig.2

Visualization of extracted trajectory segments"

Fig.3

Example of decision graph of γ"

Fig.4

Road network structure and locations of intersections"

Fig.5

Decision graph"

Fig.6

Decision graph of γ"

Fig.7

Result of sub-area division"

Fig.8

Result of sub-area division by Synchro"

Fig.9

Comparison of network control performances"

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