首页> 外文会议>AIChE annual meeting >INTEGRATED APPROACH TO EXPLORE ROADWAY AIR IMPACT OF TRAVEL DEMAND AND TRAFFIC OPERATION FOR TRANSPORTATION SUSTAINABILITY ANALYSIS
【24h】

INTEGRATED APPROACH TO EXPLORE ROADWAY AIR IMPACT OF TRAVEL DEMAND AND TRAFFIC OPERATION FOR TRANSPORTATION SUSTAINABILITY ANALYSIS

机译:探索交通需求和交通运营对道路空气影响的综合方法,以进行交通运输可持续性分析

获取原文

摘要

Advanced traffic management, operation, control technologies and systems, and smart land-use planning have a great potential to alleviate highway congestion and reduce environmental impacts associated with vehicle travel. A challenge remains in quantifying and assessing the associated carbon footprint. The worst case scenario may be identified by analyzing insightful interactions between travel demand due to adaptive changes in land use and social economy and the impact of transportation activities on road emission and air quality. This paper presents a framework to address this need through developing a Geographical Information System (GlS)-based Roadway Air Impact Analysis (RAIA) system, housed in the Scenario-Based Planning Support System (SB-PSS) system. The RAIA system is established using an integrated approach in which outputs and inputs of travel forecasting model, vehicle emission model, and vehicle powered energy consumption model, are integrated heuristically and mathematically with data flows via input/output (I/O) interfaces. Additionally, the air quality measures such as Air Quality Index (AQI) based EPA established national air quality standards will be embedded into the GIS environment. The travel demand forecasting model estimates trips based on land use adaptation and social economic fabric; microscopic traffic simulation model stimulates the effectiveness of traffic operation and control strategies; vehicle emission model estimates the emission factors due to transportation activities; and vehicle powered energy consumption model estimates energy consumption. Within this ambiance, traffic-related emission and energy consumption demand could be forecasted based on various scenarios with the addressed factors. Such an integration effort will be greatly beneficial to identifying strategic solutions to design and operate transportation systems in a way that meets transportation needs while protecting the environmental health of all people, and provides supportive information for measuring and assessing sustainability and "greenness" of transportation systems.
机译:先进的交通管理,运营,控制技术和系统以及明智的土地利用规划在缓解高速公路拥堵和减少与车辆行驶相关的环境影响方面具有巨大潜力。量化和评估相关的碳足迹仍然是一个挑战。可以通过分析由于土地利用和社会经济的适应性变化而产生的出行需求与运输活动对道路排放和空气质量的影响之间的深刻互动,来确定最坏的情况。本文提出了一个框架,可通过开发基于地理信息系统(GlS)的道路空气影响分析(RAIA)系统来解决这一需求,该系统位于基于场景的计划支持系统(SB-PSS)系统中。 RAIA系统是使用集成方法建立的,其中行程预测模型,车辆排放模型和车辆动力能耗模型的输出和输入通过输入/输出(I / O)接口与数据流进行启发式和数学式集成。此外,基于EPA制定的国家空气质量标准的空气质量度量标准(如基于空气质量指数(AQI)的标准)将被嵌入GIS环境中。出行需求预测模型根据土地利用适应性和社会经济结构估算出出行次数;微观交通仿真模型激发了交通运营和控制策略的有效性;车辆排放模型估算运输活动产生的排放因子;车辆能源消耗模型可估算能源消耗。在这种环境下,可以基于各种情景并考虑因素,预测与交通有关的排放和能源消耗需求。这种整合工作将极大地有助于确定战略性解决方案,以在满足运输需求的同时保护所有人的环境健康,并为测量和评估运输系统的可持续性和“绿色”提供支持性信息,从而设计和运营运输系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号