A hybrid macroscopic-based model for traffic flow in road networks
A hybrid macroscopic-based model for traffic flow in road networks
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DOI：
10.1016/j.ejor.2010.05.018
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发表时间：
2010-12-01
影响因子：
6.4
通讯作者：
Moutari, Salissou
中科院分区：
文献类型：
--
作者：
McCrea, Jennifer;Moutari, Salissou
近年来，人们对提高交通系统的运行效率和能力的兴趣日益增长，导致了大量交通建模理论的发展。开发运输系统管理模型时的主要操作问题之一在于选择适当的方法论方法，例如选择输入和输出数据的类型以及模型的定性表示和计算能力。尽管在该领域的相当大的努力，仍然没有一种方法，本身有效地模拟道路网络中的交通的各种动态演变的功能。本文通过引入一种新的混合方法来解决这个问题，该方法结合了连续统数学模型（如[1，6，23，26]）和基于知识的模型（如[7，22，28]）的互补特征和能力，以有效地描述道路网络中的交通流。(C)2010 Elsevier B.V.保留所有权利。
Recently, the unquestionable growth of interest to increase the operational efficiency and capability of transportation systems led to the development of a large number of traffic modeling theories. One of the major operational issues when developing a transportation system management model lies in the selection of the appropriate methodological approach with respect to several decisions, such as the selection of the type of input and output data as well as the qualitative representation and the computational power of the model. Despite the considerable effort in the area, there is still not an approach which per se models effectively the various dynamically evolving features of traffic in road networks. The present paper addresses this issue by introducing a new hybrid approach which combines the complementary features and capabilities of both continuum mathematical models e.g. [1,6,23,26] and knowledge-based models e.g. [7,22,28] in order to describe effectively traffic flow in road networks. (C) 2010 Elsevier B.V. All rights reserved.