SARIMA Modelling Approach for Forecasting of Traffic Accidents

An EMD-SARIMA-Based Modeling Approach for Air Traffic Forecasting

The ever-increasing air traffic demand in China has brought huge pressure on the planning and management of, and investment in, air terminals as well as airline companies. In this context, accurate and adequate short-term air traffic forecasting is essential for the operations of those entities. In consideration of such a problem, a hybrid air traffic forecasting model based on empirical mode d...

Spatial Statistical Modelling of Traffic Accidents

P90: Methamphetamine and Traffic Accidents

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Car-Traffic Forecasting: A Representation Learning Approach

We address the problem of learning over multiple inter-dependent temporal sequences where dependencies are modeled by a graph. We propose a model that is able to simultaneously fill in missing values and predict future ones. This approach is based on representation learning techniques, where temporal data are represented in a latent vector space. Information completion (missing values) and pred...

the use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach

abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...