This paper applies graph-theoretic measures to anticipate traffic dynamics in transportation networks. We extend the Transportation Centrality metric of Piraveenan and Saripada (2023) by incorporating toll pricing and heterogeneous traveler preferences into its cost model. Path costs combine class-specific distance and toll weights, distributing flows according to a logit-based allocation. We prove the value of this multi-class cost model for toll policy evaluation and robust network design through applications to sample networks. Under high price sensitivity, incorporating tolls causes toll corridor junctions to lose centrality while toll-free alternatives gain prominence.