【摘要】 提出基于ITS (智能交通系统 )的车辆安全行驶状况在线监测系统框架 ,对车辆行驶中的异常现象进行实时监测。提出从实测的汽车操纵稳定性和制动性能参数出发 ,对悬架、转向、制动、车轮等安全总成及其部件进行状态监测的观点。综合运用遗传算法、小波变换和神经网络等技术 ,在汽车运行中对其进行安全监测。最后借助汽车动态模拟国家重点实验室的ADSL模拟器 ,对研究的核心部分进行试验验证 ,结果表明本文提出的监测方案是可行的更多还原

【Abstract】 An on?board monitoring system on automobile driving state is put forward in this paper and it is based on ITS to monitor the abnormal state of the running automobile. A new viewpoint is put forward that the unsafe state of suspension, steering system, braking system, wheel assembly can be found from on?board monitoring data of manoeuvre stability and braking performance. GA method, wavelet transform and neural network are used in the system to monitor the unsafe state. In the end, with the data from the ADSL simulator, reliability test is made of the key part of the system.The results indicate that the scheme is feasible.更多还原