基于D-S和投票算法的路况数据可信模型设计  

A Trusted Model of Traffic Data Based on D-S and Voting Algorithm

作　　者：陶琳[1] 杨俊成[1] 吴跃[2] 

机构地区：[1]河南工业职业技术学院电子信息工程系,河南南阳473000 [2]上海交通大学信息安全工程学院,上海200240

出　　处：《控制工程》2017年第8期1707-1712,共6页Control Engineering of China

基　　金：国家自然科学基金项目(61271324)

摘　　要：为了有效解决城市交通中动态寻路时路况数据的安全可信问题,设计了基于路况数据分析的安全可信模型。该模型引入D-S证据理论,对不可信任的信息赋予了一定的不确定性属性,同时对相斥与相似同样界定出用于中间过渡的相容评价,在不增加数据交换的情况下,有效地实现了对路况信息信任判断,同时为了降低D-S证据理论的不确定性所引起的判断失误,该模型通过投票算法加以统计分析,增强了鲁棒性。通过仿真实验分析表明,在绝大多数情况下,该模型可以有效地优化车辆行车路线,降低行驶时间,在过滤异常路况信息、鉴别恶意信息方面,可以发挥重要作用,保证了第三方动态寻路算法的安全可信度。In order to solve the problem of security and credibility of the traffic data in the city traffic, a safe and reliable model based on traffic data analysis is designed. The model introduces D-S evidence theory, confers certain uncertainty attributes to the information that can not be trusted, and also defmes the intermediate compatibility evaluation for repellent and similar information. Without increasing the data exchange, the model effectively realizes the trust judgment of the road information. Also in order to reduce the error judgment caused by the uncertainty of D-S evidence theory, the model is statistically analyzed by the voting algorithm, which enhances the robustness. Simulation experiments show that the model can effectively optimize the vehicle routing, reduce the travel time, and can play an important role in filtering the abnormal traffic information and identify the malicious information. The security reliability of the third party dynamic routing algorithm can be ensured.

关 键 词：路况数据 D-S证据理论 不确定性 投票算法 

分 类 号：TP391.8[自动化与计算机技术—计算机应用技术]