Adaptive-filtering Based Dynamic OD Matrix Estimation

摘要：

This paper proposes one method for the dynamic origin-destination (OD) estimate. Based on the improved Sage-Husa adaptive filtering algorithm which carries on recursive filters observation data obtained by time-variable noise statistics estimator, estimate and revision observation noise statistical property, one can suppresses the divergence of the filter and, increase the filter precision. The experiment results indicated that this kind of method has the good performance.

关键词： dynamic OD matrix Kalman filter Adaptive-filter

作者: MENG DAN JUAN Zhicai JIA Hongfei

作者单位: College of Transportation Jilin University Chang Chun 130025

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 403-406

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）