Multiclass Combined Models for Urban Travel Forecasting
Multiclass Combined Models for Urban Travel Forecasting
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DOI：
10.1023/b:nets.0000015659.39216.83
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发表时间：
2004-03
影响因子：
2.4
通讯作者：
D. Boyce;H. Bar-Gera
中科院分区：
文献类型：
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作者：
D. Boyce;H. Bar-Gera
回顾了制定、解决和实施具有多个用户类别的模型的进展，这些模型将多种旅行选择组合成一个单一的、一致的数学公式。考虑了道路网络上的行驶时间和成本依赖于路段流量的模型；这些模型试图代表内生的拥堵。本文简要总结了该领域在 20 世纪 50 年代的起源及其在 1970 年代通过解决算法的发展而演变的过程。审查的主要重点是多类模型的实施和应用。本文最后简要讨论了改进求解算法的前景。
Progress in formulating, solving and implementing models with multiple user classes that combine several travel choices into a single, consistent mathematical formulation is reviewed. Models in which the travel times and costs on the road network are link flow-dependent are considered; such models seek to represent congestion endogenously. The paper briefly summarizes the origins of this field in the 1950s and its evolution through the development of solution algorithms in the 1970s. The primary emphasis of the review is on the implementation and application of multiclass models. The paper concludes with a brief discussion of prospects for improved solution algorithms.