An unlimited number of alternative paths can be generated to connect 2 end points. Modern optimization techniques, which perform a systematic search for an optimum solution, can be used to solve such complex problems. In the field of highway design, various optimization techniques have been applied to locate a path between 2 known locations. However, there has been little optimization application in current forest road design systems. These systems are used as a tool to perform the mathematical calculations required to make basic manual road design. This study introduces a new method that integrates 2 optimization techniques for designing forest roads: linear programming for cut and fill balance and a "heuristic" approach (simulated annealing) for the selection of vertical alignment. This method provides the designer with a rapid evaluation of alternatives to design a path with minimum total costs, while conforming to design specifications, environmental requirements, and driver safety.

An unlimited number of alternative paths can be generated to connect 2 end points. Modern optimization techniques, which perform a systematic search for an optimum solution, can be used to solve such complex problems. In the field of highway design, various optimization techniques have been applied to locate a path between 2 known locations. However, there has been little optimization application in current forest road design systems. These systems are used as a tool to perform the mathematical calculations required to make basic manual road design. This study introduces a new method that integrates 2 optimization techniques for designing forest roads: linear programming for cut and fill balance and a "heuristic" approach (simulated annealing) for the selection of vertical alignment. This method provides the designer with a rapid evaluation of alternatives to design a path with minimum total costs, while conforming to design specifications, environmental requirements, and driver safety.