| 基于固定型检测器和浮动车的路段行程时间获取技术 |
| |
| 引用本文： | 杨兆升,于悦,杨薇.基于固定型检测器和浮动车的路段行程时间获取技术[J].吉林大学学报(工学版),2009(Z2). |
| |
| 作者姓名： | 杨兆升 于悦 杨薇 |
| |
| 作者单位： | 吉林大学交通学院; |
| |
| 基金项目： | “863”国家高技术研究发展计划项目(2007AA12Z242,2007AA11Z218,2007AA11Z245) |
| |
| 摘 要： | 在深入分析交通流诱导系统信息需求的基础上,提出了一种新的路段行程时间获取技术。首先分别利用固定型检测器和浮动车计算路段平均行程时间,进而应用自适应指数平滑法进行短时预测,最后开发了不同可靠度下基于固定型检测器和浮动车的路段行程时间快速融合算法。试验结果表明,该技术能够准确、高效地获取路段行程时间,为交通流诱导系统提供高质量的输入数据,满足出行者的信息需求。
|
| 关 键 词： | 城市交通流诱导系统 行程时间预测 神经网络 信息融合 浮动车 |
Acquisition of travel time based on inductive coil detector and probe vehicle |
| |
| YANG Zhao-sheng,YU Yue,YANG Wei.Acquisition of travel time based on inductive coil detector and probe vehicle[J].Journal of Jilin University:Eng and Technol Ed,2009(Z2). |
| |
| Authors: | YANG Zhao-sheng YU Yue YANG Wei |
| |
| Affiliation: | College of Transportation;Jilin University;Changchun 130022;China |
| |
| Abstract: | Based on the lucubration of info demand in the Urban Traffic Flow Guidance Systems,A new technology applicated to the acquisition of travel time was presented.Firstly,calculates the mean travel time by means of inductive coil detection and probe vehicle respectively.Then carry out the short-period peidiction thanks to the Adaptive Weight Exponential Smoothing Ultimately empolders a frequent fusion arithmetic of travel time under a series of reliability degrees based on both inductive coil detection and prob... |
| |
| Keywords: | urban traffic flow guidance systems travel time trediction neural network tnformation fusion probe vehicle |
| 本文献已被 CNKI 等数据库收录！ |
