Abstract:
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.
Key words:
GPS,
Least-square method,
Degenerated model,
Boundary condition
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。
关键词:
GPS,
最小二乘法,
退化模型,
边界条件
YU Quan;WU Hui;SHENG Zhijie;LIU Yuncai. An Improved Algorithm for Municipal Traffic Flow Estimation[J]. Computer Engineering, 2006, 32(16): 177-179.
喻 泉;吴 卉;盛志杰;刘允才. 一种城市路网交通流状态估计方法[J]. 计算机工程, 2006, 32(16): 177-179.