[1]罗进珮,李冰冰,郑雅羽. 基于MEMS的公交车辆转弯判定方法[J].计算机技术与发展,2015,25(07):58-62.
　LUO Jin-pei,LI Bing-bing,ZHENG Ya-yu. Determination Method of Bus Turning Based on MEMS[J].,2015,25(07):58-62.
点击复制

 基于MEMS的公交车辆转弯判定方法()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年07期
页码:
58-62
栏目:
智能、算法、系统工程
出版日期:
2015-07-10

文章信息/Info

Title:
 Determination Method of Bus Turning Based on MEMS
文章编号:
1673-629X（2015)07-0058-05
作者:
 罗进珮; 李冰冰; 郑雅羽
 浙江工业大学 信息工程学院
Author(s):
 LUO Jin-pei; LI Bing-bing; ZHENG Ya-yu
关键词:
 ; 公交车辆; MEMS; 加速度计; 陀螺仪; GPS
Keywords:
 ; bus; MEMS; accelerometer; gyroscope; GPS
分类号:
TP301
文献标志码:
A
摘要:
 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%。
Abstract:
 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.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(07):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(07):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(07):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(07):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(07):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(07):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(07):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(07):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(07):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
　YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(07):47.

更新日期/Last Update: 2015-09-06