基于MEMS的公交车辆转弯判定方法

Determination Method of Bus Turning Based on MEMS

目前,公交车载报站器主要依靠司机手动操作,极大地增加了司机的负担,亟需一种准确、快速的自动报站解决方案。基于GPS技术的全自动报站系统能够较好地解决公交车出站、到站的自动播报,然而由于GPS自身精度的限制,当车辆转弯时,仅凭GPS信息无法进行及时、准确的播报。为此,文中提出了一种基于MEMS的公交车辆转弯判定方法。通过对车内系统进行智能化改造,部署MEMS传感器与车载终端,采集车辆的各项行驶数据与传感器数据,建立转弯判定模型,判定车辆转弯行为,使其在实际行驶中及时、准确地判断车辆转弯,播报转弯提醒。实验结果表明,该方法可以较为准确地判定车辆转弯,准确率可达88%。

Currently, station reporters depend on manual operation of drivers which put extra burden on drivers. It is urgent need of an au- tomatic reporter solution with accuracy and timeliness. Automatic station reporter based on GPS can solve the problem in some ways. However, the traditional method could not report the audio broadcast timely and accurately when the vehicle turns due to the accuracy lim- itation of GPS. For the purpose, a determination method of bus turning based on MEMS sensors is proposed in this paper. Collect driving data and sensor data after intelligent vehicle modification by MEMS sensors in smart vehicle equipment. Moreover, establish turning mod- el to determine turning of bus to make it timely and accurate to determine bus turnings and report audio broadcast. Experiment results show that the method can determine bus turnings accurately and the accuracy of this method can reach 88% in practice.