Inference on Origin-Destination Matrix for Link Count Data A State Space Model Approach

• Main Authors: Yeong-Nan Chou, 周勇男
• Other Authors: Yow-Jen Jou
• Format: Others
• Language: zh-TW
• Published: 2000
• Online Access: http://ndltd.ncl.edu.tw/handle/82118114189740349887

碩士 === 國立交通大學 === 統計所 === 88 === As O-D flow matrices becoming more and more important for many dynamic traffic network control and management analysis, approaches to estimate such matrices from traffic counts have attracted much research interest over the past decade, and considerable estimation algorithms have been published in the literature. The dynamic O-D estimation approaches are relatively new. Their current status of development and applications are far from being as well recognized as those of static models. Therefore, in this thesis we formulate the dynamic O-D matrices by a state-space model and propose an algorithm to estimate them under normality.