全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于交通量演变模式检索的高速公路交通量预测方法

, PP. 116-121

Keywords: 交通工程,交通量预测,演化模式检索,高速公路网,压缩码

Full-Text   Cite this paper   Add to My Lib

Abstract:

通过交通量预测的方法,可以在突发事件情况下评估事件对高速公路网的交通影响。各种预测算法的共同特征,需要一定的历史数据支持。在同一算法中,对历史信息吸收得越多,其预测往往越准确。作者借用图像压缩的原理,从历史交通数据中抽象出历史交通状态演化模式,并用压缩码表示该演化模式。通过对压缩码的检索,可以快速提取与当前演化模式相近的历史数据,通过这些演化模式相近的历史数据,预测交通状态的变化趋势。试验证明,预测数据与真实数据具有良好的拟合度。

References

[1]  王雷,许晗,郑山水.ITS中交通流预测方法的研究
[2]  [J].中国科技信息,2008(10):268-269.WANG Lei,XU Han,ZHENG Shanshui.The Study on Forecasting for Traffic Volume in ITS
[3]  [J].China Science and Technology Information,2008(10):268-269.
[4]  关积珍.城市道路交通流的宏观特征及规律分析
[5]  [J].交通运输系统工程与信息,2005,5(1):47-52.GUAN Jizhen.Analysis of Macro-characteristics in Urban Traffic Flow Data
[6]  [J].Communications and Transportation Systems Engineering and Information,2005,5(1):47-52.
[7]  张春田,苏育挺,张静.数字图像压缩编码
[8]  [M].北京:清华大学出版社,2006.ZHANG Chuntian,SU Yuting,ZHANG Jing.Digital Image Compression and Coding
[9]  [M].Beijing:Tsinghua University Press,2006.
[10]  刘艳忠,邵小健,李旭宏.基于Lagrange支持向量回归机的短时交通量预测模型的研究
[11]  [J].Journal of Chongqing Jiaotong University,2006,25(3):99-103.
[12]  赵建玉,贾磊,杨立才,等.基于粒子群优化的RBF神经网络交通流预测
[13]  [J].公路交通科技,2006,23(7):116-119.ZHAO Jianyu,JIA Lei,YANG Licai,et al.RBF Neural Network Traffic Flow Forecasting Model Based on Particle Swarm Optimization
[14]  [J].Journal of Highway and Transportation Research and Development,2006,23(7):116-119.
[15]  [J].交通与计算机,2007,25(5):46-49.LIU Yanzhong,ZHAO Xiaojian,LI Xuhong.Short-term Traffic Flow Prediction Model Based on Lagrange Support Vector Regression
[16]  [J].Computer and Communications,2007,25(5):46-49.
[17]  翁剑成,荣建,任福田,等.基于非参数回归的快速路行程速度短期预测方法
[18]  [J].公路交通科技,2007,24(3):93-97.WENG Jiancheng,RONG Jian,REN Futian,et al.Non-parametric Regression Model Based Short-term Prediction for Expressway Travel Speed
[19]  [J].Journal of Highway and Transportation Research and Development,2007,24(3):93-97.
[20]  宫晓燕,陈伟雄.基于关联规则挖掘的路段流量关系的分析
[21]  [J].公路交通科技,2003,20(4):63-66.GONG Xiaoyan,CHEN Weixiong.Study of Relationship among Adjacent Road Segments Traffic Based on Association Rules Mining
[22]  [J].Journal of Highway and Transportation Research and Development,2003,20(4):63-66.
[23]  王进,史其信.短时交通流预测模型综述
[24]  [J].ITS 通信,2005,1(6):94-95.WANG Jin,SHI Qixin.A Review of the Short-term Traffic Flow Prediction Methods
[25]  [J].Intelligent Transport Systems,2005,1(6):94-95.
[26]  谭国贤,翁小雄,姚树申,等.城市交叉路口的短时交通流建模预测
[27]  [J].交通与计算机,2005,23(1):27-28.TAN Guoxian,WENG Xiaoxiong,YAO Shushen,et al.Prediction Model of Short-term Traffic Flow at Crossroads in Cities
[28]  [J].Computer and Communications,2005,23(1):27-28.
[29]  HOBEIKA A G,KIM C K.Traffic Flow Prediction Systems Based on Upstream Traffic
[30]  [C]//Proceeding of Vehicle Navigation and Information Systems Conference.New York:IEEE,1994:346-350.
[31]  杨芳明,朱顺应.基于小波的短时交通流预测
[32]  [J].重庆交通学院学报,2006,25(3):99-103.YANG Fangming,ZHU Shunying.Short-term Traffic Flow Forecasting Based Wavelet

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133