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网联交通环境下的车-车通信故障诊断方法 被引量:2

Fault diagnosis of vehicle-to-vehicle communication in networked traffic environment
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摘要 以智慧交通场景中的车辆编队为应用背景,建立基于智能驾驶员模型的车辆队列控制模型,分析车-车通信中延时对队列控制稳定性的影响。提出基于车-车通信更新延迟的故障诊断方法,利用中值和均值的统计特性计算用于判断是否发生故障的决策变量,设计两层滑窗对决策变量进行平滑,实现决策变量实时、自适应计算;利用Jarque-Bera检验一段时间内接收端延迟更新统计分布的正态性,若该分布显著偏离正态分布,则认为通信质量恶化。在测试场地采集车辆行驶速度数据和车-车通信延时数据,对不同场景下车-车通信更新延迟的统计分布特性进行仿真试验,验证车-车通信中延时对智能网联汽车协同控制的影响。研究结果表明,车-车通信延时会导致协同控制过程中控制率的剧烈变化,基于更新延迟的通信故障诊断方法可以对车-车通信质量是否恶化进行有效诊断。 With vehicle platoon in intelligent transportation system as the background,this research established a vehicle platoon control model based on the intelligent driver model and analyzed the influence of delay in vehicle-to-vehicle communication on the stability of platoon control.A fault diagnosis method based on the update delay of vehicle-to-vehicle communication was proposed.The statistical characteristics of median and average were used to calculate the decision variables which were used to judge whether a fault had occurred.A two-layer sliding window was designed to smooth the decision variables and adaptively calculate the decision variable in real time.The Jarque-Bera algorithm was used to test the normality of the statistical distribution of the receiver's update delay within a period of time.If the distribution significantly deviated from the normal distribution,it was considered that the communication quality had deteriorated.Collecting vehicle speed data and vehicle-to-vehicle communication delay data at the testbed,simulations were conducted to analyze the statistical distribution characteristics of the vehicle-vehicle communication update delay in different scenarios and verify the influence on vehicle platoon control of vehicle-to-vehicle communication delay.The research results showed that the vehicle-to-vehicle communication delay caused drastic changes in the control rate during the collaborative control process.The communication fault diagnosis method based on the update delay could effectively diagnose whether the vehicle-to-vehicle communication quality had deteriorated.
作者 闵海根 方煜坤 吴霞 王武祺 MIN Haigen;FANG Yukun;WU Xia;WANG Wuqi(School of Information and Engineering,Chang′an University,Xi′an 710064,Shaanxi,China;The Joint Laboratory for Internet of Vehicles,Ministry of Education-China Mobile Communications Corporation,Xi′an 710021,Shaanxi,China)
出处 《山东大学学报(工学版)》 CAS CSCD 北大核心 2021年第6期84-92,共9页 Journal of Shandong University(Engineering Science)
基金 国家自然科学基金青年项目(61903046) 陕西省重点研发计划(2021GY-290) 陕西省高校科协青年人才托举计划项目(20200106) 浙江省重点研发计划项目(2020C01057) 中央高校基本科研业务费资助项目(300102240106)。
关键词 智慧交通 智能网联汽车 更新延迟 自适应阈值 车-车通信延时统计分布 车-车通信故障诊断 intelligent transportation connected and automated vehicles update delay adaptive threshold statistical distribution of vehicle-to-vehicle communication fault diagnosis of vehicle-to-vehicle communication
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