A metaheuristics based simulation tool to optimize demand responsive transportation systems


Public passenger transport is an important area that affects our quality of life. The design of routes and frequencies of such systems is very important to ensure their economic viability. The work presented in this paper focuses on the design of a software tool that assists in the creation of routes and schedules of passenger transport systems. For this, we have developed an application that is based on evolutionary computing techniques to simulate passenger demand and adjust the routes and frequency of the services to meet those demands. The result of work done is a software tool, and a metaheuristic algorithm that can be used for solving optimization problems.