CALIBRATION METHODS FOR SIMULATION-BASED DYNAMIC TRAFFIC ASSIGNMENT SYSTEMS

Constantinos Antoniou · Ramachandran Balakrishna · Haris N. Koutsopoulos · Moshe E Ben-Akiva

19 citations0/0 files storedInternational Journal of Modelling and Simulation

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Transportation Planning and Optimization Traffic control and management Traffic Prediction and Management Techniques

Abstract

Dynamic Traﬃc Assignment (DTA) integrates complex transportation demand and network supply simulation models to estimate prevailing traﬃc conditions, predict future network performance and generate consistent, anticipatory route guidance.

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References

1998Implementation of the simultaneous perturbation algorithm for stochastic optimization 1993Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts 2002NETWORK KNOWLEDGE AND ROUTE CHOICE 2004An Efficient Algorithm for Real-Time Estimation and Prediction of Dynamic OD Tables 2000Estimation of origin–destination matrices from link flows on uncongested networks 2001Fixed Point Approaches to the Estimation of O/D Matrices Using Traffic Counts on Congested Networks 2006Off-line calibration of Dynamic Traffic Assignment models 2007Offline Calibration of Dynamic Traffic Assignment

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2017Efficient calibration techniques for large-scale traffic simulators 2017Calibration of the demand structure for dynamic traffic assignment using flow and speed data: exploiting the advantage of distributed computing in derivative-free optimization algorithms

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