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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 dis...
The prime aim of this research is to support decision making, e.g., air quality impact analysis, human health assessment, through spatially modelling traffic-induced air pollution dispersion in urban ...
The fundamental feature of the next generation LBS systems is supporting the Real-time Traffic Information (RTTI). However, in order to speed up the data accessing, The Physical Storage Format (PSF) o...
A micro-simulation framework allows for the combination of several highly disaggregated models integrating direct representations of individual actors and specific processes within detailed space and ...
Short time prediction is one of the most important factors in intelligence transportation system (ITS). In this research, the use of feed forward neural network for traffic time-series prediction is p...
Traffic noise pollution is a growing problem that highly affects the health of people. To cope with this problem one has to regulate traffic or construct noise barriers. In order to implement effectiv...
In general, the location of traffic accidents is described as an address with text, so they are difficult to display on the map. The paper discusses how to utilize the geocoding technology and VRS-GPS...
Situations of heavy and congested traffic in urban areas have been analysed by using a statistical approach based on both the identification of specific locations that attract drivers in a multipoint-...
This study analyzes and investigates the impact of traffic noise on high rise buildings and surrounding areas by the side of Hemmat Highway that links west of Tehran to the east. In this study, a 3D t...
Annual Average Daily Traffic (AADT) maps show, in a comprehensive way for expert as well as non-experts, the evolution of the relatively recent past (1965) until the most current image (2005). They he...

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