摘要
把最小二乘法理论运用到了城市交通流领域,在车载GPS数据基础上进行城市路网交通流拥堵状态估计。在具体实现过程中,分析解决了最小二乘法存在的问题,提出了拟和模型的退化处理、增加路网中路段连接处的边界条件等新思路。实践证明了这种处理方法的实用性,在工程中具有十分重要的意义。
This paper novelly introduces the least-square method for dynamically estimating traffic state in urban road system. Using GPS data of taxis, it establishsd a model to compute the states of traffic flow in a city road network. The boundary conditions, the degenerated cases of the model, illness condition of least-square algorithm are well considered in the research. The experiments show that the model is correct and can be used in many applications of intelligent transportation system.
出处
《计算机工程》
CAS
CSCD
北大核心
2006年第16期177-179,共3页
Computer Engineering
基金
上海市科委基金资助项目"智能化城市交通处理平台关键技术"(0329-12066)
关键词
GPS
最小二乘法
退化模型
边界条件
GPS
Least-square method
Degenerated model
Boundary condition
