Traffic information distribution model based on crowdsourcing UGC and user trust degree

In this paper, we at first analyzed the real-time traffic information and crowdsourcing UGC (User Generated Content) mechanism in today´s in-vehicle network. We then proposed an effective traffic information distribution model based on the crowdsourcing UGC and its production-user trust degree. The model combines the crowdsourcing UGC quality-control strategy, the Shapley power index and the principle of the proportion dynamic balance distribution to output the relatively reliable and real-time traffic information. Next, some of the conceptions have been introduced respectively in detail for the better understanding of this model. Finally, the performance analysis is provided to evaluate the proposed scheme and the simulation results show that the proposed model has a good performance in the pervasive computing environments.