Estimation of OD Patterns on Dynamic Networks
Date/Time: Tuesday 09:45-11:15
Sponsor: INFORMS Transportation Science Society
Chair: Hani S. Mahmassani
Chair Address: Univ. of TX, Dept. of Civil Eng., Rm. 6.204, Austin, TX 78712 ,
An Adaptive Kalman Filtering Algorithm for the Dynamic Estimation & Prediction of Freeway OD Matrices ShouRen Hu, Samer M. Madanat --- Purdue Univ., Sch. of Civ. Eng., West Lafayette, IN 47907 ,
- The problem of dynamic estimation and prediction of freeway OD¨ matrices has received increasing attention in view of its¨ applicability to on-line traffic management systems. We present an¨ adaptive Kalman filtering algorithm in which the state vector to be¨ estimated includes time-varying OD flows and model parameters. By¨ capturing the time-varying nature of traffic variables, the proposed¨ algorithm provides, in a statistical sense, more accurate estimates¨ of dynamic OD flows...
Estimation of Dynamic OD Matrices for Signalized Urban Networks Gag-Len Chang, Xingding Tao --- Univ. of MD, Dept. of Civ. Eng., College Park, MD 20742 ,
- This study has developed a 2-stage estimation model for dynamic O-D¨ matrices in signalized urban networks. The first stage involves a¨ parallel computation of dynamic O-D at an intersection level. The¨ results from the first stage, considering the impacts of signal, are¨ then integrated in a network-wide estimation.
Application of Microscopic Simulation to Evaluate Real-Time Traffic Control Systems Moshe E. Ben-Akiva, A. Hotz, H. Koutsopoulos, R. Mishalani, Q. Yang --- MIT, Room 1-181, Dept. of Env. & Civ. Eng., Cambridge, MA 02139 , (email@example.com)
- A simulation laboratory for evaluating real-time traffic control¨ systems is presented. The laboratory includes 4 integrated¨ components: traffic control, control devices, traffic flow and¨ surveillance. Application to Boston's Central Artery/Tunnel control¨ system is discussed.