[1] Zeng Lu, Liu Jun, Qin Yong,. Passenger flow dynamic assignment model of urban mass transitand its application during interval interrupted operation [J]. Journal of Southeast University (English Edition), 2017, 33 (1): 115-122. [doi:10.3969/j.issn.1003-7985.2017.01.019]

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Passenger flow dynamic assignment model of urban mass transitand its application during interval interrupted operation()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

33

Issue:

2017 1

Page:

115-122

Research Field:

Traffic and Transportation Engineering

Publishing date:

2017-03-30

Info

Title:

Passenger flow dynamic assignment model of urban mass transitand its application during interval interrupted operation

Author(s):

Zeng Lu¹; 3; Liu Jun¹; Qin Yong²

¹School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
²State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
³College of Applied Science, Jiangxi University of Science and Technology, Ganzhou 341000, China

Keywords:

urban mass transit;  dynamic;  disequilibrium distribution;  local disruption

PACS:

U231

DOI:

10.3969/j.issn.1003-7985.2017.01.019

Abstract:

In order to find a method which can describe the passenger flow dynamical distribution of urban mass transit during interval interrupted operation, an urban railway network topology model was built based on the travel path dual graph by considering interchange, crowd and congestion. The breadth first valid travel path search algorithm is proposed, and the multipath passenger flow distribution logit model is improved. According to the characteristics of passengers under the interruption condition, the distribution rules of different types of passenger flow are proposed. The method of calculating the aggregation number of station is proposed for the case of insufficient transport capacity. Finally, the passenger flow of Beijing urban mass transit is simulated for the case study. The results show that the relative error of most of transfer passenger flow is below 10%. The proposed model and algorithm can accurately assign the daily passenger flow, which provides a theoretical basis for urban mass transit emergency management and decision.

References:

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Memo

Memo:

Biographies: Zeng Lu(1983—), female, graduate; Qin Yong(corresponding author), male, doctor, professor, qinyong2146@126.com.
Foundation items: The National Natural Science Foundation of China(No.61374157), the Science and Technology Project of the Education Department of Jiangxi Province(No.GJJ151524).
Citation: Zeng Lu, Liu Jun, Qin Yong.Passenger flow dynamic assignment model of urban mass transit and its application during interval interrupted operation[J].Journal of Southeast University(English Edition),2017,33(1):115-122.DOI:10.3969/j.issn.1003-7985.2017.01.019.

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