The heterogeneous vehicular network (HVN) is a novel kind of structure for intelligent transportation systems. It can help to improve the quality of wireless communication and support entertainment service during the trip. HVN is composed of two types of links, vehicle-to-infrastructure (V2I) links and vehicle-to-vehicle (V2V) links. In this paper, we focus on the problem of resource scheduling for HVN. The goal is to investigate how to select the relaying mobile vehicles and how to choose the link to transmit between V2V and V2I to achieve the best system performance. To explore the maximum total information transmission rate with the consideration of fairness among the mobile vehicles, we formulate an optimization problem to maximize the weighted sum-rate for the system. As the problem is difficult to solve, we thus design a new efficient scheduling algorithm on the basis of bipartite graph. Simulation results demonstrated that our proposed algorithm can achieve the optimal solution approximately with low complexity.