随着车载自组网(VANET)的快速发展和广泛应用，从接入角度保证车辆可信的问题得到了人们越来越多的关注。针对粗糙集理论适于处理不确定性信息的特点，本文提出了一种基于粗糙集理论的VANET接入方法。将VANET与移动可信模块(MTM)相结合，使用MTM采集车辆的可信属性信息，以便于做出接入决策。实验结果验证了方法的有效性与实用性。

With the rapid development and the extensive application of vehicular ad hoc networks(VANET), the problem of  how to ensure the credibility of the vehicular endpoints during access authentication has become the research focus. Because the rough set theory is suitable for handling uncertain information, we propose a new approach to accessing VANETs based on the rough set theory. The mobile trusted module(MTM) on endpoints in VANETs is used for collecting the trusted attribute information, and the final accessing decisions can be made. The experimental results show the  effectiveness and practicality of this method.