This document describes a prediction market game for route selection under uncertainty. It formulates the route selection problem when the lengths of road arcs are random variables. It then designs a prediction market framework using route and arc securities on a logarithmic market scoring rule to crowdsource information. An experiment applies the game to a sample road network and finds market prices correlate well with theoretical probabilities. The document concludes the gaming approach shows promise in solving routing problems with uncertain information.