文章基本信息

标题：Integration of a speed-dependent emission model in dynamic traffic assignment: a large scale application to the Paris metropolitan area
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作者：Vincent Aguiléra ; Vincent Aguiléra ; Antoine Tordeux 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2011
卷号：20
页码：475-484
DOI：10.1016/j.sbspro.2011.08.054
语种：English
出版社：Elsevier
摘要：AbstractIt is a common practice, when interfacing a traffic assignment model with an average-speed emission model, to use link mean speeds instead of trip mean speeds. Using synthetic traffic data produced by a microscopic model, we show that both approaches do not capture well the effect of congestion on emissions. Instead, using the distributions of vehicle speeds - as opposed to a single average-speed value - can make an average-speed emission model behave consistently with a kinematic emission model. The main contribution of this paper is to show that simple, bimodal, speed distributions, can capture a significant part of the dynamic of congested traffic w.r.t. an average-speed emission model.
关键词：dynamic traffic assignment;road traffic emissions