Journal of South China University of Technology (Natural Science Edition) ›› 2006, Vol. 34 ›› Issue (9): 66-69,75.

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Estimation Algorithm with Kalman Filtering for Road Travel Time Based on Grey Relation Analysis

Wen Hui-ying  Xu Jian-min  Fu Hui   

  1. School of Traffic and Communications,South China Univ.of Tech.,Guangzhou 510640,Guangdong.China
  • Received:2006-01-12 Online:2006-09-25 Published:2006-09-25
  • Contact: 温惠英(1965-),女,在职博士生,副教授,主要从事ITS与现代物流技术、交通运输规划与管理的研究. E-mail:hywen@scut.edu.cn
  • About author:温惠英(1965-),女,在职博士生,副教授,主要从事ITS与现代物流技术、交通运输规划与管理的研究.
  • Supported by:

    国家自然科学基金资助项目(B04B50590)

Abstract:

In order to improve the self-adaptability of Kalman filtering applied to the estimati0n of time series. a real-time estimation algorithm for road travel time is put forwarded based on the grey relation analysis. The grev re-lation analysis of various factors to affect the travel time series is first caried out based on the gray the0ry. and the main factors to influence the road travel time are picked out according to the grey relevancy degree. Then.the cor-responding dynamic equations are set up,and the estimated values are obtained using a set of recursion form ulas.The real data of the road travel time collected in an artery in Shenzhen City are finallv used to perform simulated experiments.The results indicate that the proposed algorithm is suitable for the estimation of road travel time in natu-ral traffic flow because it is of better integrated perform ance than the conventional Kalman fihering model.

Key words: time, estimation, Kalman filtering, grey relation analysis