Urban Regional Traffic State Analysis Software System Emphasizing Pattern Transition

نویسندگان

  • Longfei Wang
  • Yang Li
  • Song Zhang
  • Qing Zhang
چکیده

Urban traffic state evolution analysis is very significant and constructive for traffic guidance and control. In this paper, 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. Based on the method, a GIS-based urban regional traffic state analysis software system, URTSAS 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.

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عنوان ژورنال:
  • JSW

دوره 8  شماره 

صفحات  -

تاریخ انتشار 2013