The research on advertising model of self-driving car platform

With the maturity of the self-driving car technology, the self-driving car advertising platform will provide the excellent capability of precision personalized advertising recommendation, and bring great changes to current advertising modes. By proposing the model and the system architecture of the future self-driving car advertising platform, this paper design the scheduling algorithm and dynamic adjusting mechanism to maximize the comprehensive platform benefit. With orthogonal bat algorithm, the simulation model is effective to solve the multi-objective optimization in this advertising scheduling scene and issues such as vehicle routing problem under the constraint conditions of time window and repeat Multi-route limitations, the experiment results show that optimum parameters solution can be obtained in a reasonable time, and can convergence to global optimal solution also.