Sensitivity Analysis of CALINE4 Model under Mix Traffic Conditions
نویسندگان
چکیده
منابع مشابه
Development of a strategic plan through SWOT analysis to control traffic-borne air pollutants using CALINE4 model
Traffic is one of the main sources of air pollution in metropolitan areas. With development of transportation system, inappropriate vehicle production, and the use of low-quality fuels, increased pollution in these areas is inevitable. The current study tries to determine PM2.5, PM10, NO2, and CO emission dispersion, caused by traffic, using CALINE4 software. Ac...
متن کاملSensitivity Analysis of MPSIAC Model
MPSIAC is currently known as an appropriate method to measure sediment ofWatershed basins of the country while there has not been any sensitivity analysis so far forthis method. In this study, required data for MPSIAC model were gathered from six basins;Amame-Kamarkhani, Kand-Golandok, Tang Kenesht (from two different references), Nojian(from three different references), Pegahe sorkh katvand (f...
متن کاملVarinace-Based Sensitivity Analysis of Deterministic Model
The study of many scientific and natural phenomena in laboratory condition is sometimes impossible, therefore theire expresed by mathemathical models and simulated by complex computer models (codes). Running a computer model with different inputs is called a computer expriment. Statistical issues allocated a wide range of applications for computer expriment to itself. In this paper, ...
متن کاملSensitivity Analysis of Traffic Equilibria
T contribution of the paper is a complete analysis of the sensitivity of elastic demand traffic (Wardrop) equilibria. The existence of a directional derivative of the equilibrium solution (link flow, least travel cost, demand) in any direction is given a characterization, and the same is done for its gradient. The gradient, if it exists, is further interpreted as a limiting case of the gradient...
متن کاملUnmixing Mix Traffic
We apply blind source separation techniques from statistical signal processing to separate the traffic in a mix network into either individual flows or groups of flows. This separation requires no a priori information about the individual flows. As a result, unlinkability can be compromised without ever observing individual flows. Our experiments show that this attack is effective and scalable....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Aerosol and Air Quality Research
سال: 2017
ISSN: 1680-8584,2071-1409
DOI: 10.4209/aaqr.2016.01.0012