用模糊系统建模交通排放与气象条件关系，助力城市环保决策
Situation Model of the Transport, Transport Emissions and Meteorological Conditions
- 基于模糊推理系统构建交通排放预测模型
- 结合布拉格实测数据，分析气象对排放量与扩散的影响
- 为城市交通规划与环境管理提供可操作的决策支持
城市空气污染及其减排潜力是当今社会面临的重要课题。本文采用系统方法研究交通排放与气象条件的关系，分析天气如何影响城市中交通排放的总量与扩散。基于捷克布拉格的交通、气象及排放实测数据，构建了利用模糊推理系统（FIS）预测不同条件下排放变化的模型。研究旨在为城市规划者和政策制定者提供依据，使其在制定城市交通管理策略时能更有效地兼顾环境保护目标。
原文摘要 · Abstract (English)
Air pollution in cities and the possibilities of reducing this pollution represents one of the most important factors that today's society has to deal with. This paper focuses on a systemic approach to traffic emissions with their relation to meteorological conditions, analyzing the effect of weather on the quantity and dispersion of traffic emissions in a city. Using fuzzy inference systems (FIS) the model for prediction of changes in emissions depending on various conditions is developed. The proposed model is based on traffic, meteorology and emission data measured in Prague, Czech Republic. The main objective of the work is to provide insight into how urban planners and policymakers can plan and manage urban transport more effectively with environmental protection in mind.
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