Road Network Pre-partitioning Method with Priority for Congestion Control

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Hao She
Xingsheng Xie


Urban traffic congestion seriously affects the traffic efficiency, causing travel delays and resources wasted directly. In this paper, a road network pre-partitioning method with priority for congestion control is proposed to reduce traffic congestion. Traffic flow feature is extracted based on CNN, and the estimated accuracy of intersection reach 95.32% through CNN-SVM model. Subarea congestion coefficient and intersection merger coefficient are defined to expand the control area of congestion coordination. The association and similarity of intersections are considered using spectral clustering for non-congested intersection partitioning. The results show that the congestion priority control partition method reduces a congestion intersection compared to directly using spectral clustering for subarea partition, and reduces the road network congestion coefficient by 0.05 after 30 minutes than directly using spectral clustering, which is an effective subarea partition method.  

Road network pre-partition, congestion control, CNN-SVR, spectral clustering

Article Details

How to Cite
She, H., & Xie, X. (2019). Road Network Pre-partitioning Method with Priority for Congestion Control. Journal of Advances in Mathematics and Computer Science, 32(2), 1-13.
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Zhou Z, Lin S, Xi Y. A fast network partition method for large-scale urban traffic networks [J]. Journal of Control Theory and Applications. 2013;11(3):359-366.

Backfrieder C, Ostermayer G, Mecklenbräuker CF. Increased traffic flow through node-based bottleneck prediction and V2X communication [J]. IEEE Transactions on Intelligent Transportation Systems. 2017;18(2):349-363.

Wu NN, Yan XP, Huang GH, et al. Urban environment-oriented traffic zoning based on spatial cluster analysis [J]. Journal of Environmental Informatics. 2015;15(2):111-119.

Wang Z, Li L, Wu B. Managing regional congestion in urban road networks: An approach based on fuzzy control theory [M]//CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems. 2014;1966-1980.

Gong BW, Bie YM, Liu ZY. A dynamic algorithm of partitioning urban road network into traffic control subareas [C]. Applied Mechanics and Materials. Trans Tech Publications. 2013;409:1398-1402.

Liu H, Yang L, Zhang Y, et al. A dynamic traffic zone partition scheme based on game theory [J]. Journal of Information & Computational Science. 2013;10(10):2961-2969.

Meshkat A, Vrancken JLM. Multi-objective road network partitioning [J]. Procedia-Social and Behavioral Science. 2014;1.

Cao J, Zhang L. Research on subarea partition of regional traffic by fuzzy theory [J]. Journal of Information & Computational Science. 12(6):2429-2437.

Shen G, Yang Y. A dynamic signal coordination control method for urban arterial roads and its application [J]. Frontiers of Information Technology & Electronic Engineering. 2016;17(9):907-918.

Hu Y, Wang Y, Zhang J, et al. Correlation degree analysis of arterial adjacent intersections for coordinated control subunit partition [J]. Advances in Mechanical Engineering. 2018;10(1): 1687814017748748.

Tang S, Zhu W, Liu X, et al. Urban traffic cooperative control based on regional partition [C]. 2018 37th Chinese Control Conference (CCC). IEEE. 2018;7754-7759.

Yang Y, Xu Y, Han J, et al. Efficient traffic congestion estimation using multiple spatio-temporal properties [J]. Neurocomputing. 2017;267:344-353.

Sharif Razavian A, Azizpour H, Sullivan J, et al. CNN features off-the-shelf: An astounding baseline for recognition [C]. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. 2014;806-813.

Li Z, Yuan R, Guan X. Accurate classification of the internet traffic based on the svm method [C]. 2007 IEEE International Conference on Communications. IEEE. 2007;1373-1378.

Li Y, Nie F, Huang H, et al. Large-scale multi-view spectral clustering via bipartite graph [C]. AAAI. 2015;2750-2756.

Lu K, Xu JM, Zheng SJ, et al. Research on fast dynamic division method of coordinated control subarea [J]. Acta Automatica Sinica. 2012;38(2):279-287.

Xu JM, Yan XW, Jing BB, et al. Dynamic network partitioning method based on intersections with different degree of saturation [J]. Journal of Transportation Systems Engineering & Information Technology; 2017.

Betz CL, Allmaras RR, Copeland SM, et al. Least limiting water range: Traffic and long-term tillage influences in a Webster soil [J]. Soil Science Society of America Journal. 1998;62(5):1384-1393.

Robertson DI. Research on the TRANSYT and SCOOT methods of signal coordination [J]. ITE Journal. 1986;56(1):36-40.