| 基于仿真数据的异类交通传感器信息融合研究 |
| |
| 引用本文： | 蹇峰,白子建,顾明臣,田春林.基于仿真数据的异类交通传感器信息融合研究[J].交通标准化,2009(13):63-66. |
| |
| 作者姓名： | 蹇峰 白子建 顾明臣 田春林 |
| |
| 作者单位： | 交通部规划研究院;天津市城市规划设计研究院;交通部科学研究院; |
| |
| 基金项目： | 国家863课题资助项目(2007AA11Z237) |
| |
| 摘 要： | 通过系统模拟中的相关原理，以实际传感器的性能参数为背景，可生成供交通信息融合算法使用的训练集和测试集仿真数据。结合这些数据，相关神经网络训练和仿真结果表明：交通信息融合方法对于提高异类传感器的速度检测是有效的．同时信息融合技术在智能交通系统中的应用能够提高信息获得的准确性。
|
| 关 键 词： | 信息融合 神经网络 异类交通传感器检测 交通仿真 |
Heterogeneous Traffic Sensor Information Fusion Based on Simulation Data |
| |
| JIAN Feng,BAI Zi-jian,GU Ming-chen,TIAN Chun-lin.Heterogeneous Traffic Sensor Information Fusion Based on Simulation Data[J].Communications Standardization,2009(13):63-66. |
| |
| Authors: | JIAN Feng BAI Zi-jian GU Ming-chen TIAN Chun-lin |
| |
| Institution: | 1.Transport Planning and Research Institute;Ministry of Communications;Beijing 100028;China;2.Tianjin Urban Planning Design Institute;Tianjin 300201;3.China Academy of Transportation Sciences;Beijing 100029;China |
| |
| Abstract: | The relating principles in system simulation can be applied to create the training set and test set simulation data for traffic information fusion, with the property parameters of practical sensors as background. Combining with the data, the relating neural network training and simulation results indicate that traffic information method is effective in raising the inspection speed of heterogeneous sensor and the technological application can improve the accuracy in obtaining information. |
| |
| Keywords: | information fusion neural network heterogeneous traffic sensor inspection traffic simulation |
| 本文献已被 CNKI 维普 等数据库收录！ |
