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Computer Engineering ›› 2006, Vol. 32 ›› Issue (16): 177-179. doi: 10.3969/j.issn.1000-3428.2006.16.068

• Artificial Intelligence and Recognition Technology • Previous Articles     Next Articles

An Improved Algorithm for Municipal Traffic Flow Estimation

YU Quan;WU Hui;SHENG Zhijie;LIU Yuncai   

  1. Institute of Pattern Recognition and Intelligence System, Shanghai Jiaotong University, Shanghai 200030
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-08-20 Published:2006-08-20

一种城市路网交通流状态估计方法

喻 泉;吴 卉;盛志杰;刘允才   

  1. 上海交通大学模式识别与智能系统研究所,上海200030

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