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Reducing the urban pollution by integrating weigh-in-motion sensors into intelligent transportation systems.State of the art and future trends

机译:通过将体重传感器集成到智能交通系统中来降低城市污染。艺术和未来趋势的阶段

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This paper is a short review of Weigh-in-Motion systems used to determine the pollution of the smart cities.The E.U.legislation concerns about the level of pollution in the big cities and how this pollution can be reduced.The main objective of E.U.is to reduce the level of pollution,respectively CO2 emissions,until 2050 by 60% compared with 1990.Thus,a lot of articles provide new techniques for collecting data info from the WIM systems and use them for reducing the pollution from the cities.The main problem of the transportation is the overloading vehicles,which leads to accelerated wear of road infrastructure (wear increases in proportion to the fourth power ratio of the current load on the axle /standard load,which is 70kN).WIM sensors for interurban traffic are currently performing many other important functions as:estimation of the static load on the wheel,estimation of travel speed,identification of each type of vehicle,providing real-time data needed for intelligent transport systems.This paper presents how the levels of the pollution in some specific areas are influenced by the traffic jams and how we can avoid increasing of pollution.
机译:本文是用来确定的关于污染的大城市的水平,这种污染如何能reduced.The主要目标EUis的智能cities.The EUlegislation关注污染称重,运动系统的简短评论60%与1990.Thus相比,减少污染,分别CO2排放水平,到2050年,很多文章从WIM系统采集的数据信息提供了新的技术,并利用它们从cities.The主要减少了污染运输的问题是车辆超载,导致道路基础设施的加速磨损(成比例地在轮轴/标准负载的电流负载,这是70KN的第四功率比磨损增加).WIM传感器,用于城市间的流量是目前执行许多其它重要功能为:在车轮上的静载荷的估计,行驶速度,每种类型的车辆的识别,估计提供所需要的智能运输SYS的实时数据tems.This文章提出如何污染在某些特定领域的水平是由交通拥堵的影响,我们如何才能避免污染的增加。

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