Online deployment of dynamic traffic assignment: architecture and run-time management

Key issues for the online deployment of dynamic traffic assignment systems are addressed, including model calibration, computational efficiency and system robustness to input data. A case study of the recent deployment of the DynaMIT route guidance system in Los Angeles is provided as an illustration of critical practical aspects in the deployment process. A preliminary evaluation of the system indicates online feasibility from a computational perspective and validates the system's ability to replicate off-line data. Online accuracy tests are promising. Ongoing research approaches to enhance system operation and performance are suggested.

[1]  Constantinos Antoniou,et al.  On-line calibration for dynamic traffic assignment , 2004 .

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

[3]  Ramachandran Balakrishna,et al.  Off-line calibration of Dynamic Traffic Assignment models , 2006 .

[4]  Frank Crittin.  New algorithmic methods for real-time transportation problems , 2004 .

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

[6]  Maria Nadia Postorino,et al.  Fixed Point Approaches to the Estimation of O/D Matrices Using Traffic Counts on Congested Networks , 2001, Transp. Sci..

[7]  Moshe Ben-Akiva,et al.  Discrete Choice Models with Applications to Departure Time and Route Choice , 2003 .

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

[9]  Michael Scott Ramming,et al.  NETWORK KNOWLEDGE AND ROUTE CHOICE , 2002 .

[10]  Michel Bierlaire,et al.  An Efficient Algorithm for Real-Time Estimation and Prediction of Dynamic OD Tables , 2004, Oper. Res..

[11]  R. S. Ghaman,et al.  Implementation of CLAIRE, traffic estimation and prediction system, and adaptive traffic control in the US , 2002 .

[12]  David A. Wood,et al.  Cache profiling and the SPEC benchmarks: a case study , 1994, Computer.

[13]  Gerard Scemama.  CLAIRE : an independent, AI-based supervisor for congestion management , 1995 .

[14]  Hani S. Mahmassani,et al.  On-Line Monitoring System for Real-Time Traffic Management Applications , 1999 .

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

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