1 There exists an extensive academic literature on software cost estimation that explores techniques such as boot strapping, assorted analogy methods such as nearest neighbor, and even highly non-linear ‘models’ such as decision trees. However, industry “best practice” virtually ignores the academic literature and continues to rely upon standard regression-based algorithms and most often local ...

Intelligent Driver Model (IDM) is a well-known microscopic model of traffic flow within the traffic engineering societies. While it is a powerful technique for modeling traffic flows, the Intelligent Driver Model lacks the potential of accommodating the notion of drivers’ heterogeneous behavior whenever they are on roads. Concerning the above mentioned, this paper takes the lane to recognize th...

the paper presents an economical model for double variable acceptance sampling with inspection errors. taguchi cost function is used as acceptance cost while quality specification functions are normal with known variance. an optimization model is developed for double variables acceptance sampling scheme at the presence of inspection errors with either constant or monotone value functions. the m...

the aim of this research paper is the introduction of a novel mathematical approach to improvethe accuracy of the results of air pollution dispersion models based on the calibration of input backgroundconcentrations. using the dunkirk area of the city of nottingham in the uk as a case study, an air pollutionmodel in adms-roads was created for developing the mathematical approach. the iterative ...

Many existing hydrological modelling procedures do not make best use of available information, resulting in non-minimal uncertainties in model structure and parameters, and a lack of detailed information regarding model behaviour. A framework is required that balances the level of model complexity supported by the available data with the level of performance suitable for the desired application...