Critical Section Identification in Road Traffic Network Based on Spatial and Temporal Features of Traffic Flow

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Critical Section Identification in Road Traffic Network Based on Spatial and Temporal Features of Traffic Flow

Su, Fei / Zou, Xiaofang / Qin, Yong / She, Shaoyi / Su, Hang

The capacity of critical section is one of the important reasons for leading to urban road traffic congestion. The identification of critical section has great significance to alleviate traffic congestion, and can provide support for traffic planning, network transformation, residents’ travel plans and so on. Based on the spatial and temporal features of traffic flow, the critical section is defined as the one which has more contribution to the overall network and has greater influence on other sections in this paper. In the section importance measurement framework, space-time distribution is used to explain the contribution of one section to the network, space-time influence is measured to describe its influence on other sections, and the critical section is given by the ranking of section importance. At last, the proposed model is applied in a subset of Beijing’s road network, and the results show that the model is practical and feasible, and can identify critical section in road traffic network effectively.

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Document information

Title :

Critical Section Identification in Road Traffic Network Based on Spatial and Temporal Features of Traffic Flow

Additional title:

Lect. Notes Electrical Eng.

Contributors:

Wang, Wuhong (editor) / Baumann, Martin (editor) / Jiang, Xiaobei (editor) / Su, Fei (author) / Zou, Xiaofang (author) / Qin, Yong (author) / She, Shaoyi (author) / Su, Hang (author)

Published in:

Green, Smart and Connected Transportation Systems ; Chapter : 96 ; 1253-1279

Lecture Notes in Electrical Engineering ; 617

Publication date :

2020-03-24

Size :

27 pages

ISBN :

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

ISSN :

1876-1119 , 1876-1100

DOI :