Quantitative Analysis of Urban Regional Traffic Status
Joint Authors
Yang, Qing-fang
Zheng, Lili
Xing, Ruru
Wang, Shu-xing
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-15
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In order to monitor the real-time operation condition of urban region traffic flow, and to quickly identify regional traffic status, this paper adopts CNM (Clauset-Newman-Moore) Community Division Method of Complex Network to analyze traffic status information deeply implied from the regional road network traffic flow data, which aims to objectively develop the reasonable classification of regional traffic state with no classification criteria of determining regional traffic state.
Combined with the regional road network traffic data from a certain city, the example analysis shows that this proposed method can easily provide the reasonable division of regional traffic condition and verifies the feasibility of the regional traffic state classification method.
Besides, the example analysis gives the rough regional traffic status determination standard, laying theoretical basis for accurately judging the regional traffic state.
American Psychological Association (APA)
Yang, Qing-fang& Xing, Ruru& Zheng, Lili& Wang, Shu-xing. 2017. Quantitative Analysis of Urban Regional Traffic Status. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1189783
Modern Language Association (MLA)
Yang, Qing-fang…[et al.]. Quantitative Analysis of Urban Regional Traffic Status. Mathematical Problems in Engineering No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1189783
American Medical Association (AMA)
Yang, Qing-fang& Xing, Ruru& Zheng, Lili& Wang, Shu-xing. Quantitative Analysis of Urban Regional Traffic Status. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1189783
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189783