مرکز منطقه ای اطلاع رساني علوم و فناوري - A structural state space model for real-time traffic origin–destination demand estimation and prediction in a day-to-day learning framework

Title of article :

A structural state space model for real-time traffic origin–destination demand estimation and prediction in a day-to-day learning framework

Author/Authors :

Xuesong Zhou، نويسنده , , Hani S. Mahmassani، نويسنده ,

Issue Information :

روزنامه با شماره پیاپی سال 2007

Pages :

From page :

823

To page :

840

Keywords :

Real-time traffic estimation and prediction , Dynamic OD estimation and prediction , Traffic system management , Kalman filter

Journal title :

Transportation Research. Part B: Methodological

Serial Year :

2007

Journal title :

Transportation Research. Part B: Methodological

Record number :

244756

Link To Document :