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  • 标题:Road Characteristic Based Location Technique for Vehicle Exhaust Gas Detection *
  • 本地全文:下载
  • 作者:Zerui Li ; Yu Kang ; Xin Wang
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:28
  • 页码:686-690
  • DOI:10.1016/j.ifacol.2015.12.209
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractNow there is a growing awareness that the air pollution in China is getting more and more serious, and the leading factor is the exhaust produced by vehicles in cities. To detect every registered vehicle enables us to take means to control the air pollution in cities. The conventional methods detecting exhaust by simulating running states, cannot capture the real-time emissions effectively. The remote sensing system for exhaust gas detection is an effective way to solve these problems. However, there is no location technique on how to place vehicle exhaust detecting devices in traffic network. This paper proposes a road characteristic based location technique for the devices. After determining the monitoring area and collecting the related road information, a model based on the road characteristics is established. Then these roads are clustered into several parts and the core roads will be the location. Finally the several schemes are evaluated, ranked and picked to achieve a relatively optimal location scheme.
  • 关键词:Keywordslocation techniqueair pollutionvehicle exhaustremote sensing system
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