期刊文献+

运输路径合理规划对汽车尾气排放的影响研究 被引量:1

Effect of Transportation Path Planning on Automobile Exhaust Emission
下载PDF
导出
摘要 为了减少汽车尾气的排放量,实现节能环保,需要对运输路径进行合理规划设计,缓解交通拥堵,从而降低汽车的能耗和尾气排放量。首先分析了汽车尾气对环境污染的影响,介绍汽车尾气的主要污染物质及对环境和人体的危害。采用路网拓扑结构分析运输路径与交通拥堵的关系,在交通拥堵状态评估模型中构建汽车尾气排放量控制模型,通过交通运输路径的优化规划模型设计,确保车辆畅通,有效减少尾气的排放量,降低了尾气对环境的污染。 In order to reduce the emissions of automobile exhaust gas and realize eeergy conservation and eevironmental pro-tection, it is necessary to rationally plan and design the transportation route to ease traffic congestion, thereconsumption and tail gas emissions of automobiles. First of al l , it analyzes the impact of automobile exhalution, introduces the main pollutants of automobile exhaust and the harm to the environment and topology is used to analyze the relationship bet-ween transport routes and traffic jams , and a vehicle exhaust emission control modelis constructed in a traffic congestion assessment model to ensure the smooth flow of vehicles and reduce exhaust emissions. Reduce the pollution of the exhaust gas to the environment.
作者 李婷婷 Li Tingting(Shaanxi College of Communication Technology, Xi’an 710018 , China)
出处 《环境科学与管理》 CAS 2018年第4期24-27,共4页 Environmental Science and Management
关键词 交通 运输路径规划 汽车尾气 环保 生态建设 transportation transportation path planning automobile exhaust environmental protection ecologcal construction
  • 相关文献

参考文献6

二级参考文献23

  • 1万玉山,胡学括,胡风华,邓喀中,张雁秋.工程建设项目环境监理[J].煤炭技术,2004,23(9):1-2. 被引量:5
  • 2程胜高,戴明新,安琪.工程环境监理发展态势及其与环境评价关系[J].环境科学与技术,2005,28(5):63-65. 被引量:43
  • 3尚宁,覃明贵,王亚琴,崔中发,崔岩,朱扬勇.基于BP神经网络的路口短时交通流量预测方法[J].计算机应用与软件,2006,23(2):32-33. 被引量:31
  • 4虞涛.工业类项目实行环境监理的初步实践和思考[J].环境科学与管理,2007,32(10):8-10. 被引量:12
  • 5TCHRAKIAN T T, BASU B, and O’MAHONY M. Real-time traffic flow forecasting using spectral analysis[J]. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(2): 519-526.
  • 6CHEN Syuanyi and CHOU Weiyao. Short-term traffic flow prediction using EMD-based recurrent Hermite neural network approach[C]. 15th International IEEE Conference on Intelligent Transportation Systems, Anchorage, 2012: 1821-1826.
  • 7CHAN K Y, DILLON T S, SINGH J, et al. Neural- network-based models for short-term traffic flow forecasting using a hybrid exponential smoothing and Levenberg- Marquardt algorithm[J]. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(2): 644-654.
  • 8XU Yanyan, KONG Qingjie, and LIU Yuncai. Short-term traffic volume prediction using classification and regression trees[C]. IEEE Intelligent Vehicles Symposium(IV), Gold Coast, 2013: 493-498.
  • 9WILLIAMS B M. Modeling and forecasting vehicular traffic flow as a seasonal stochastic time series process[D]. [Ph.D. dissertation], University of Virginia, 1999: 243-246.
  • 10徐年,沙宏武.Ad Hoc技术在地震监测系统中的应用[J].电脑学习,2010(1):5-6. 被引量:2

共引文献69

同被引文献2

引证文献1

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部