针对上述问题，可以将博弈奖励ω(B_i^t )和建议策略A_i^t下的

In view of the above problems, the game reward ω(B_i^t) can be combined with the message acceptance rate under the recommended strategy A_i^t to define the utility function μ(B_i^t) shown in equation (9). Each vehicle needs Update the iterative cooperation proposal to maximize the utility function while eliminating cooperation bias.

In response to the above problems, you can combine the game reward (B_i-t) with the message reception rate under the suggested strategy A_i-t to define the utility function μ (B_i-t) as shown in the method (9), each vehicle needs to update the iterative cooperation proposal to maximize the utility function while eliminating the cooperation deviation.

To solve the above problem, we can use the game of B (ω)_ I ^ t) and suggested strategy a_ The utility function μ (b) as shown in equation (9) is defined by combining the message receiving rate under I ^ t_ Each vehicle needs to update the iterative cooperation proposal to eliminate the cooperation deviation and maximize the utility function.