Simultaneous Off-Line Demand-Supply Calibration for Simulation-Based Dynamic Traffic Assignment Models
2007 (English)In: 11th World Conference on Transport Research, 2007Conference paper (Refereed)
Simulation-based Dynamic Traffic Assignment (DTA) systems are widely used in many Intelligent Transportation Systems (ITS), to generate time-varying network performance measures such as travel times, delays, queue lengths and spillbacks. Such DTA systems are comprised of detailed demand and supply model components whose outputs depend on a large number of inputs and parameters that must be calibrated to match real-world traffic data. Owing to the complexity of the calibration process, most studies rely on component-wise estimation that uses parts of the available data to estimate subsets of parameters. Such an approach is potentially inefficient and biased, and typically relies on approximations (such as an assignment matrix) to simplify the relationships between the parameters and the data. In this paper, we apply a methodology for simultaneously calibrating all DTA model parameters (on both demand and supply sides) without using approximations, and incorporating any general traffic data that may be collected. A large-scale optimization problem is formulated, and a scalable solution approach is outlined. The feasibility of the method is demonstrated by calibrating a simulation-based DTA model (DynaMIT) for a real network and dataset from Los Angeles. The benefits of the proposed approach are further validated through the evaluation of the real-time estimation and prediction accuracy of the calibrated model. Numerical results indicate that the new approach significantly outperforms the current state-of-the-art in replicating traffic data that was not used to calibrate the system.
Place, publisher, year, edition, pages
Transport Systems and Logistics
IdentifiersURN: urn:nbn:se:kth:diva-88172OAI: oai:DiVA.org:kth-88172DiVA: diva2:502161
11th World Conference on Transportation Research (WTCR). Berkeley, CA. 2007-6-24 - 2007-6-28
TSC import 2001 2012-02-14. QC 201205162012-02-142012-02-142012-05-16Bibliographically approved