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Assessing the air quality impacts of the traffic signal coordination projects: A modal approach.

机译:评估交通信号协调项目对空气质量的影响:一种模式方法。

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摘要

Although traffic signal coordination projects have been widely implemented to relieve traffic congestion, their air quality impacts have never been clearly demonstrated and have become the subject of much discussion and debate. The USEPA has stated that "the emissions effects of (traffic signalization projects) can be difficult to quantify." As a result, much concern exists among transportation and air quality professionals regarding the ability of current approaches to provide the degree of reliability desired.; Another concern regarding the air quality impacts of traffic signal coordination projects involves the tradeoffs between possible increases in nitrogen oxide (NO{dollar}rmsb{lcub}x{rcub}){dollar} emissions which are predicted using current approaches, and reductions in carbon monoxide (CO) and hydrocarbon (HC) emissions.; This dissertation research resulted in the development of a new modal approach for assessing the air quality impacts of traffic signal coordination projects. The two greatest improvements over current approaches include: (1) Modal approach: Research has demonstrated that modal vehicle events (i.e. acceleration, deceleration) can and do significantly impact vehicle emissions. Approaches which average speeds disregard modal events. (2) Microscale framework: USEPA's MOBILE model was intended for regional emissions inventories and was never intended to be used to assess the air quality impacts of microscale transportation projects.; The developed approach was applied to two case study arterials. Speed profiles were collected before and after project implementation to measure changes in modal variables and emissions were computed using new EPA modal models. The results for the two cases indicate that traffic signal coordination projects can reduce NO{dollar}rmsb{lcub}x{rcub}{dollar} emissions as well as HC and CO emissions. While the potential for these projects to reduce NO{dollar}rmsb{lcub}x{rcub}{dollar} emissions has long been acknowledged in the transportation air quality community, this potential could not be demonstrated until now.; The research findings indicate that the modal approach is an improved approach for assessing the air quality impacts of traffic signal coordination projects. Use of the modal model is recommended.
机译:尽管交通信号协调项目已得到广泛实施以缓解交通拥堵,但其对空气质量的影响从未得到明确证明,并已成为许多讨论和辩论的主题。美国环境保护局指出,“(交通信号工程)的排放影响可能难以量化。”结果,运输和空气质量专业人士对当前方法提供所需可靠性程度的能力存在极大的关注。有关交通信号协调项目对空气质量的影响的另一个问题涉及在使用当前方法预测的氮氧化物(NO {dollar} rmsb {lcub} x {rcub} x)的可能增加与碳减少之间的权衡取舍一氧化碳(CO)和碳氢化合物(HC)排放。论文的研究结果是开发了一种新的模态方法,用于评估交通信号协调项目对空气质量的影响。当前方法的两个最大改进包括:(1)模态方法:研究表明,模态车辆事件(即加速,减速)可以而且确实会严重影响车辆排放。平均速度的方法会忽略模态事件。 (2)微观框架:USEPA的MOBILE模型用于区域排放清单,而从未用于评估微观运输项目对空气质量的影响。已开发的方法应用于两个案例研究动脉。在项目实施前后收集速度曲线,以测量模态变量的变化,并使用新的EPA模态模型计算排放量。这两种情况的结果表明,交通信号协调项目可以减少NO {dollar} rmsb {lcub} x {rcub} {dollar}排放以及HC和CO排放。尽管这些项目在减少空气中的NOx排放的潜力早已在运输空气质量界中得到认可,但这种潜力直到现在才得以证明。研究结果表明,模态方法是一种用于评估交通信号协调项目对空气质量影响的改进方法。建议使用模态模型。

著录项

  • 作者

    Reiter, Darlene Dematte.;

  • 作者单位

    Vanderbilt University.;

  • 授予单位 Vanderbilt University.;
  • 学科 Engineering Civil.; Environmental Sciences.
  • 学位 Ph.D.
  • 年度 1997
  • 页码 399 p.
  • 总页数 399
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;环境科学基础理论;
  • 关键词

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