Volume 8 Number 6 (Jun. 2013)
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JSW 2013 Vol.8(6): 1487-1494 ISSN: 1796-217X
doi: 10.4304/jsw.8.6.1487-1494

Urban Regional Traffic State Analysis Software System Emphasizing Pattern Transition

Longfei Wang, Yang Li, Song Zhang, Qing Zhang
School of Highway, Chang’an University, Xi’an, China

Abstract—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.

Index Terms—Urban district, traffic state analysis, pattern transition, network, characteristics.

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Cite: Longfei Wang, Yang Li, Song Zhang, Qing Zhang, "Urban Regional Traffic State Analysis Software System Emphasizing Pattern Transition," Journal of Software vol. 8, no. 6, pp. 1487-1494, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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