The design, software development, implementation and end-user methodologies of a Java driven software toolkit (JPathFinder) for multicriteria path planning is described. This toolkit may be used to help decision makers (DMs) find the multicriteria paths (the Pareto Optimal set) that are best suited to a specific multicriteria route (or path) planning problem they are trying to solve. This paper reports current progress in the research and development work currently being carried out on JPathFinder. JPathFinder, developed within the evolutionary computation paradigm, generates a Pareto optimal set of nondominated paths. DMs have full-parameterised control over optimisation criteria specification, examination of interesting solutions, and JPathFinder path-search stopping conditions. Data clustering techniques are incorporated offering DMs greater control over the size of their output set. JPathFinder delivers platform independence and interoperability.