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Author:

Wang, Shanchuan (Wang, Shanchuan.) | Guan, Hongzhi (Guan, Hongzhi.) (Scholars:关宏志)

Indexed by:

EI Scopus PKU CSCD

Abstract:

When forecasting the traffic demands of multiple modes of transportation, including urban rail transit, inconsistencies often exist between the model parameters of model split and traffic assignment. A classification method of traffic modes, which considered the interrelationships among various traffic models as well as their interactions, is presented. Based on this classification method, an expanded combined model split and traffic assignment model of multinomial modes is established, which contains the disaggregate model. The corresponding identification and algorithm are also provided. An example calculation is employed to verify the model. The results indicate that the model can not only satisfactorily forecast traffic demand including three kinds of traffic modes, but also can solve the inconsistency problem of the parameters at the stages of model split and traffic assignment.

Keyword:

Railroad transportation Forecasting Rails Rail motor cars Urban planning Mathematical models

Author Community:

  • [ 1 ] [Wang, Shanchuan]Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Guan, Hongzhi]Beijing University of Technology, Beijing 100022, China

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Source :

China Civil Engineering Journal

ISSN: 1000-131X

Year: 2006

Issue: 4

Volume: 39

Page: 116-120

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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