A communication channel allocation approach considering competition at the intersection

This study investigates the problem of V2R (Vehicle to Road Side Units,V2R) communication channel allocation at an intersection considering communication channel competition among each vehicles. This problem is formulated as a mixed-integer nonlinear program with equilibrium constraints. The object of this problem to minimize V2R communication delays of the whole system by optimizing the number of connected autonomous vehicles (CAVs) communicating with each RSU (Road Side Units, RSU). Complementary constraints based on User Equilibrium is introduced to guarantee each CAV can connect with RSU with their least delay in the competition. A piecewise linearization method is introduced to linearize and help solve the model. In the numerical experiment, the proposed model is compared with the models following System Optimum principle. By comparison, the results show that the proposed model can better achieve the balance between the benefits of the whole V2R system and each CAV individuals. The finding of this study can be applied to the situation where communication channel is crowded at the intersection.