An Efficient Algorithm for Real-Time Estimation and Prediction of Dynamic OD Tables

Note: PRO 2002.02 Reference ROSO-CONF-2007-007 Record created on 2007-01-22, modified on 2016-08-08

[1]  Henk J van Zuylen,et al.  The most likely trip matrix estimated from traffic counts , 1980 .

[2]  Ennio Cascetta,et al.  Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts , 1993, Transp. Sci..

[3]  Michel Bierlaire,et al.  DEMAND SIMULATION FOR DYNAMIC TRAFFIC ASSIGNMENT , 1997 .

[4]  Dimitri P. Bertsekas,et al.  Nonlinear Programming , 1997 .

[5]  M. Bierlaire MEUSE: an origin-destination matrix estimator that exploits structure , 1995 .

[6]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[7]  N. J. Van der Zijpp,et al.  DYNAMIC ORIGIN-DESTINATION MATRIX ESTIMATION ON MOTORWAY NETWORKS , 1996 .

[8]  Haris N. Koutsopoulos,et al.  NETWORK STATE ESTIMATION AND PREDICTION FOR REAL-TIME TRANSPORTATION MANAGEMENT APPLICATIONS , 2002 .

[9]  Michael L Pack,et al.  TRANSPORTATION MANAGEMENT APPLICATIONS OF ANONYMOUS MOBILE CALL SAMPLING , 2001 .

[10]  Kalidas Ashok,et al.  DYNAMIC ORIGIN-DESTINATION MATRIX ESTIMATION AND PREDICTION FOR REAL- TIME TRAFFIC MANAGEMENT SYSTEMS , 1993 .

[11]  Michael A. Saunders,et al.  LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares , 1982, TOMS.

[12]  Haris N. Koutsopoulos,et al.  Investigation of Route Guidance Generation Issues by Simulation with DynaMIT , 1999 .

[13]  Gene H. Golub,et al.  Matrix computations (3rd ed.) , 1996 .

[14]  J Barcelo,et al.  THE USE OF NEURAL NETWORKS FOR SHORT-TERM PREDICTION OF TRAFFIC DEMAND , 1999 .

[15]  Guanrong Chen,et al.  Kalman Filtering with Real-time Applications , 1987 .

[16]  Moshe E. Ben-Akiva,et al.  Estimation and Prediction of Time-Dependent Origin-Destination Flows with a Stochastic Mapping to Path Flows and Link Flows , 2002, Transp. Sci..

[17]  Gang-Len Chang,et al.  Recursive estimation of time-varying origin-destination flows from traffic counts in freeway corridors , 1994 .

[18]  Luis G Willumsen,et al.  An entropy maximising model for estimating trip matrices from traffic counts , 1981 .

[19]  Rudi Hamerslag,et al.  IMPROVED KALMAN FILTERING APPROACH FOR ESTIMATING ORIGIN-DESTINATION MATRICES FOR FREEWAY CORRIDORS , 1994 .

[20]  Moshe E. Ben-Akiva,et al.  Alternative Approaches for Real-Time Estimation and Prediction of Time-Dependent Origin-Destination Flows , 2000, Transp. Sci..

[21]  Michel Bierlaire,et al.  General framework for Dynamic Demand Simulation , 2000 .

[22]  Haris N. Koutsopoulos,et al.  Real Time Simulation of Traffic Demand-Supply Interactions within DynaMIT , 1999 .

[23]  M. Bierlaire,et al.  On iterative algorithms for linear least squares problems with bound constraints , 1991 .

[24]  Haris N. Koutsopoulos,et al.  Network State Estimation and Prediction for Real-Time Traffic Management , 2001 .

[25]  I. Okutani THE KALMAN FILTERING APPROACHES IN SOME TRANSPORTATION AND TRAFFIC PROBLEMS , 1987 .

[26]  I Okutani,et al.  Dynamic prediction of traffic volume through Kalman Filtering , 1984 .

[27]  Alan Wilson,et al.  Entropy in urban and regional modelling , 1972, Handbook on Entropy, Complexity and Spatial Dynamics.

[28]  Michel Gendreau,et al.  Transportation and Network Analysis: Current Trends , 2002 .