利用城市空气质量监测获取交通信息
Obtaining Traffic Information by Urban Air Quality Inspection
摘要：
城市中心的空气质量水平受到几种污染物排放的影响，这些污染物主要来自道路网络中的车辆。这是一个众所周知的影响人们生活质量的现象。尽管研究人员和技术人员对此深表关切，但我们对这一现象还远未完全了解。相反，可靠的预测模型的可用性将成为管理人员评估公共和私人运输政策相关适当行动的重要工具。参考运行车队的情况和测量的污染物浓度有关的意大利城市巴勒莫，数据推导的交通模型，其真实性是合理的模糊化的现象。该模型的第一次验证是通过利用排放特性和污染物浓度指的是两年的时间。这项工作可以作为确定解决城市环境污染问题的新方法的第一次尝试，以便为管理人员提供可靠和更容易的工具。
英文摘要：
The level of air quality in urban centres is affected by emission of several pollutants, mainly coming from the vehicles flowing in their road networks. This is a well known phenomenon that influences the quality of life of people. Despite the deep concern of researchers and technicians, we are far from a total understanding of this phenomenon. On the contrary, the availability of reliable forecasting models would constitute an important tool for administrators in order of assessing suitable actions concerning the transportation policies, public as well private. Referring to the situation of the running fleet and the measured pollutant concentrations concerning the Italian town of Palermo, a data-deduced traffic model is here derived, its truthfulness being justified by a fuzzyfication of the phenomenon. A first validation of the model is supplied by utilising the emissions characteristics and the pollutant concentrations referring to a two years period of time. This work could represent a first attempt in defining a new approach to the problem of the pollution of the urban contexts, in order of providing administrators with a reliable and easier tool.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
