Visualization of Spatio-Temporal Traffic Performance in Urban Road Network Based on Grid Model

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Visualization of Spatio-Temporal Traffic Performance in Urban Road Network Based on Grid Model

Wang, Liwei / Yan, Yingnan / Chen, Deqi

Traffic congestion monitoring is a very important problem in big cities. This paper describes a novel computation way of traffic performance index in urban road network. Floating car data are used in the extraction of traffic attributes. In addition, we use the grid model to reconstruct the road network and present the visualization approach of spatio-temporal traffic performance based on it. We take the 5th ring area of Beijing as a case area. The case results indicate that traffic performance is worse in the PM than in the AM. Moreover, it is worse in the north and middle area than in the south area. This method efficiently distinguish the congestion’s area and time of the urban road network. It is much helpful with traffic managers in city traffic management.

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Dokumentinformationen

Titel :

Visualization of Spatio-Temporal Traffic Performance in Urban Road Network Based on Grid Model

Weitere Titelangaben:

Lect. Notes Electrical Eng.

Beteiligte:

Wang, Wuhong (Herausgeber:in) / Baumann, Martin (Herausgeber:in) / Jiang, Xiaobei (Herausgeber:in) / Wang, Liwei (Autor:in) / Yan, Yingnan (Autor:in) / Chen, Deqi (Autor:in)

Erschienen in:

Green, Smart and Connected Transportation Systems ; Kapitel : 91 ; 1185-1196

Lecture Notes in Electrical Engineering ; 617

Erscheinungsdatum :

2020-03-24

Format / Umfang :

12 pages

ISBN :

978-981-15-0644-4 , 978-981-15-0643-7

ISSN :

1876-1119 , 1876-1100

DOI :