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Mathematical Problems in EngineeringVolume 2012 2012, Article ID 542459, 14 pages

Research ArticleSchool of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China

Received 8 May 2012; Revised 30 August 2012; Accepted 30 August 2012

Academic Editor: Wuhong Wang

Copyright © 2012 Mingxia Gao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


An analytical dynamic node-based model is proposed to represent flows on a traffic network and to be utilized as an integral part of a dynamic network loading DNL process by solving a continuous DNL problem. The proposed model formulation has an integrate base to be structured with a link load computing component, where physical queuing and its influence were explicitly taken into account by dividing a link into two parts: running part and queuing part. The solution to the model is obtained by a hybridization algorithm of simulation and analytical approach, where an iteration process is conducted to update time-dependent network flow conditions after a reasonable discretization of the problem. The performance of the proposed model, as a DNL model, is tested on a sample network. It is seen that the proposed model provides consistent approximations to link flow dynamics. The dynamic node model proposed in this paper is unique in that it explicitly models directional queue in each turning lane and the First-In-First-Out FIFO rule at lane level rather than link level is pursued.

Autor: Mingxia Gao

Fuente: https://www.hindawi.com/


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