The traffic information fusion method based on the multisource detectors

摘要：

Recently, traffic problem has become one of the major problems in the worlds governments including China. People urgently need to know the actual operating status of the road network traffic so that it can guide people commute travel. The development of traffic detection technique makes it possible for people to get the traffic flow foundation information. Information fusion technology can remove redundant, overcome the ambiguity and get more comprehensive, more accurate and more reliable information than any individual data sources. In this paper we mainly discussed the BP neural network traffic information fusion method and procedures based on the existing research results and Beijing traffic situation.

关键词： Multisource detector Data confusion Neural network

作者: Wenlong Peng Limin Jia Junqing Tang Liangping Liu Honghui Dong

作者单位: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044 State Key Laborato School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 3877-3881

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）