Regional Traffic Control System Study Based on Pattern Identification
The thesis introduces traffic patterns definition and identification.Combined with actual project it has established the regional traffic signal coordination and control system based on particle swarm K-means clustering algorithm pattern identification.It puts forward system structure and working principles with discussions focused on several key problems existing in traffic pattern identification process.
intelligent traffic pattern identification clustering analysis particle swarm optimization algorithm
Baizhan Xia Huaiwen He
University of Electronic Science and technology of China Zhongshan Institute, Zhongshan 528402,china
国际会议
台湾
英文
4552-4559
2011-12-11(万方平台首次上网日期,不代表论文的发表时间)