Multiple Linear Regression Analysis of Canada’s Freight Transportation Framework

Some Modifications to Calculate Regression Coefficients in Multiple Linear Regression

In a multiple linear regression model, there are instances where one has to update the regression parameters. In such models as new data become available, by adding one row to the design matrix, the least-squares estimates for the parameters must be updated to reflect the impact of the new data. We will modify two existing methods of calculating regression coefficients in multiple linear regres...

Intermodal Freight Transportation

The 21st century will see a renewed focus on intermodal freight transportation driven by the changing requirements of global supply chains. Each of the transportation modes (air, inland water, ocean, pipeline, rail, and road) has gone through technological evolution and has functioned separately under a modally based regulatory structure for most of the 20th century. With the development of con...

Evolutionary Freight Transportation Planning

In this paper, we present the freight transportation planning component of the INWEST project. This system utilizes an evolutionary algorithm with intelligent search operations in order to achieve a high utilization of resources and a minimization of the distance travelled by freight carriers in real-world scenarios. We test our planner rigorously with real-world data and obtain substantial imp...

Network Flow Models: Use in Rural Freight Transportation Analysis and a Comparison with Linear Programming

The logistical efficiency and viability of the algorithms in comparison with linear programrural transportation system is a growing conming for solution of models with a network cern of agricultural producers, transportation structure. Fuller et al. [4] used a network flow regulators, and policy makers. Railroad facility model in combination with implicit enumeralimitations, abandonment of rail...

Planning Robust Freight Transportation Operations