With the development of vehicle communication technology, crowd sensing applications are used in the internet of vehicles system. Connected vehicles are becoming important sensing nodes of road network with stronger information collection and sensing ability, which can solve the low current of information collection and limited coverage of road. But participates may cause resources loss and privacy leak. In this paper, we proposed game theory based incentive mechanism in large-scale road network mobile crowd sensing. we used the evolutionary game to dynamically deduct the choice of the connected vehicles when there is no mechanism, and found that no matter how big the initial sharing rate, it will eventually maintain a low level of data sharing. But when we took incentive mechanism which contains group learning and money incentive, the whole system will keep a high sharing rate, which means more connected vehicles will take part in our sensing group and share their own data with other vehicles.

CICTP