A Neural-Evolutionary Algorithm for Autonomous Transit Network Design
Andrew Holliday,Gregory Dudek,Andrew Holliday,Gregory Dudek
Planning a public transit network is a challenging optimization problem, but essential in order to realize the benefits of autonomous buses. We propose a novel algorithm for planning networks of routes for autonomous buses. We first train a graph neural net model as a policy for constructing route networks, and then use the policy as one of several mutation operators in a evolutionary algorithm. W...
