Vertical Alignment (VA) optimization refers to the problem of finding the minimum cost of earthwork while satisfying VA design constraints. Even though we have many VA methods, there is no software or program to automatically check whether their output is as expected or not. In this thesis, we introduce a software package, called ROADENTS (ROAd DEsigN Testing Software), that can validate the output of a VA technique on simple quadratic artificial roads. Here, we test the output of Quasi Network Flow (QNF), Multi-haul Quasi Network Flow (MQNF) and Softree API (V2) using ROADENTS. Moreover, generating ground profiles with different characteristics can be a painstaking task, especially when we have to build a myriad of ground profiles. T...
Earthwork operation is a complicated part in forest road construction that accounts for ca. 25% of t...
A new convex Quadratically Constrained Quadratic Programming model (QCQP) is proposed for optimizing...
Multi-fidelity refers to methods that employ low fidelity and high fidelity models in their design s...
The vertical alignment optimization problem for road design focuses on finding the optimum vertical ...
Roads continue to be an important part of global infrastructure. Mathematical models have been used ...
The vertical alignment optimization problem for road design aims to generate a vertical alignment of...
The road design problem is usually split into the horizontal alignment, the vertical alignment, and ...
Road vertical alignment design is a multi-objective design problem that needs to consider multiple c...
During initial stages of geometric design of highway projects, generally a number of alternative hor...
Earthwork cost is one of the major cost items (approximately 25% of the construction costs) in road ...
Optimization of three-dimensional road alignments is recognized as a nonlinear and nonconvex optimiz...
We developed a forest road design model that simultaneously optimizes horizontal and vertical alignm...
This paper presents a methodology to consider vague soil parameters required for earthwork optimisat...
This thesis defines a multi-objective optimization model that seeks to find road profiles that would...
Earthwork optimization plays an important role for reducing the total cost of highway projects. Weig...
Earthwork operation is a complicated part in forest road construction that accounts for ca. 25% of t...
A new convex Quadratically Constrained Quadratic Programming model (QCQP) is proposed for optimizing...
Multi-fidelity refers to methods that employ low fidelity and high fidelity models in their design s...
The vertical alignment optimization problem for road design focuses on finding the optimum vertical ...
Roads continue to be an important part of global infrastructure. Mathematical models have been used ...
The vertical alignment optimization problem for road design aims to generate a vertical alignment of...
The road design problem is usually split into the horizontal alignment, the vertical alignment, and ...
Road vertical alignment design is a multi-objective design problem that needs to consider multiple c...
During initial stages of geometric design of highway projects, generally a number of alternative hor...
Earthwork cost is one of the major cost items (approximately 25% of the construction costs) in road ...
Optimization of three-dimensional road alignments is recognized as a nonlinear and nonconvex optimiz...
We developed a forest road design model that simultaneously optimizes horizontal and vertical alignm...
This paper presents a methodology to consider vague soil parameters required for earthwork optimisat...
This thesis defines a multi-objective optimization model that seeks to find road profiles that would...
Earthwork optimization plays an important role for reducing the total cost of highway projects. Weig...
Earthwork operation is a complicated part in forest road construction that accounts for ca. 25% of t...
A new convex Quadratically Constrained Quadratic Programming model (QCQP) is proposed for optimizing...
Multi-fidelity refers to methods that employ low fidelity and high fidelity models in their design s...