首页> 外文会议>Annual transportation research forum >MODELING FUEL CONSUMPTION AND EMISSIONS AT SIGNALIZED INTERSECTION APPROACHES: A SYNTHESIS OF DATA SOURCES AND ANALYSIS TOOLS
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MODELING FUEL CONSUMPTION AND EMISSIONS AT SIGNALIZED INTERSECTION APPROACHES: A SYNTHESIS OF DATA SOURCES AND ANALYSIS TOOLS

机译:信号交叉口方法中的燃料消耗和排放建模:数据源和分析工具的综合

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The continuous growth in demand of vehicular traffic has led to a large increase in fuel consumption and emissions, negatively impacting the environment, public health, and the economy. The main goal of this paper is to synthesize and document the state-of-the-practice in modeling fuel consumption and emissions at signalized intersection approaches. The synthesis work presented in this paper focuses on two main areas: fuel consumption and emission modeling tools for signalized intersection approaches and the sources of emissions inventory and data used in the models. The first part of this paper includes a background covering different traffic-related pollutants, emission factors and different methods used to obtain them and examples of the currently available emission inventories. In the second part, a review of currently available fuel consumption and emission models suitable for modeling traffic operations at signalized intersection approaches is presented covering three different analysis levels: microscopic, mesoscopic, and macroscopic.
机译:车辆交通需求的持续增长导致燃料消耗和排放量大量增加,对环境,公共卫生和经济产生了负面影响。本文的主要目的是综合并记录在信号交叉口进近中的油耗和排放建模的实践状态。本文介绍的综合工作集中在两个主要领域:用于信号交叉口方法的油耗和排放建模工具以及模型中使用的排放清单和数据的来源。本文的第一部分包括一个背景,涵盖与交通相关的不同污染物,排放因子以及用于获取这些污染物的不同方法以及当前可用排放清单的示例。在第二部分中,介绍了适用于对信号交叉口方法中的交通操作进行建模的当前可用燃料消耗和排放模型,该模型涵盖了三种不同的分析级别:微观,介观和宏观。

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