文章基本信息

标题：GIS-Based Multi-Agent Traffic Micro Simulation for Modelling the Local Air Pollution
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作者：M. Khalesian ; P. Pahlavani ; M. R. Delavar 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII-B8
页码：491-496
出版社：Copernicus Publications
摘要：Air pollution from motor vehicles is one of the most serious and rapidly growing problems in metropolitan areas. It is occurred especially in major arterial streets inside the metropolitan central district because of the heavy traffic congestion suffering. Although transportation networks operate as an integrated system, at a regional level we can safely assume that local urban congestion will not affect other urban areas that are geographically distinct . This suggests a manageable problem, i.e., instead of solving for region-wide congestion patterns, we can augment the current capabilities of logistical air quality management system (AQMS) software with a module to predict localized urban congestion on a special major arterial street and its impacts on the amount of generated air pollution. In this paper, a GIS-based multi-agent traffic micro-simulation decision support approach utilized in order to manage and control navigation under dynamic traffic identification and modelling to determine the air pollution, particularly CO, generated by heavy traffic congestion in one of the major arterial urban streets. Our preliminary work in this area indicates that agent technology can significantly help designers and decision makers in this context
关键词：GIS; Decision Support; Pollution; Modelling; Spatial; Dynamic; Spatial Information Sciences