Urban Regional Traffic State Analysis Software System Emphasizing Pattern Transition

Urban traffic state evolution analysis is very significant and constructive for traffic guidance and control. In this paper, firstly, a quantitative method for analyzing regional traffic state evolution was proposed by constructing traffic state pattern transition network to mine regional traffic state information and state pattern transition characteristics from massive data. Secondly, a GIS-based urban regional traffic state analysis soft ware system URTSAS based on the method was designed and implemented. Application scenarios and effect shows that traffic state transition analysis in URTSAS has a wide application prospect in improving urban traffic management and decision-making.

[1]  张毅,et al.  Multi-Dimensional Traffic Flow Time Series Analysis with Self-Organizing Maps , 2008 .

[2]  Xianyan Kuang,et al.  Real-Time Traffic Signal Intelligent Control with Transit-Priority , 2012, J. Softw..

[3]  Shih-Ching Lo,et al.  Expectation-maximization based algorithm for pattern recognition in traffic speed distribution , 2013, Math. Comput. Model..

[4]  Yi Zhang,et al.  Multi-Dimensional traffic flow time series analysis with self-organizing maps , 2008 .

[5]  B.S. Kerner,et al.  Traffic state detection with floating car data in road networks , 2005, Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005..

[6]  Sureswaran Ramadass,et al.  Architecture for Applying Data Mining and Visualization on Network Flow for Botnet Traffic Detection , 2009, 2009 International Conference on Computer Technology and Development.

[7]  Shunyi Zhang,et al.  Realtime Encrypted Traffic Identification using Machine Learning , 2011, J. Softw..

[8]  Yi Zhang,et al.  A practical research on visualized spatial analysis of traffic volume data , 2003, Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems.

[9]  Hu Jian-ming Analysis of Multi-dimensional Regional Traffic State Based on GTM Algorithm , 2009 .

[10]  Markos Papageorgiou,et al.  Real-time freeway traffic state estimation based on extended Kalman filter: a general approach , 2005 .

[11]  Wang Long Running Vehicle Traveling Track Survey Analysis System for Unban Network , 2011 .