|Title||DTA2012 Symposium: Combining disaggregate route choice estimation with aggregate calibration of a dynamic traffic assignment model|
|Publication Type||Journal Article|
|Year of Publication||2015|
|Authors||Ben-Akiva ME, Gao S, Lu L, Wen Y|
|Journal||Networks and Spatial Economics|
|Keywords||Calibration, Dynamic traffic assignment, Route choice model estimation|
Dynamic Traffic Assignment (DTA) models are important decision support tools for transportation planning and real-time traffic management. One of the biggest obstacles of applying DTA in large-scale networks is the calibration of model parameters, which is essential for the realistic replication of the traffic condition. This paper proposes a methodology for the simultaneous demand-supply DTA calibration based on both aggregate measurements and disaggregate route choice observations to improve the calibration accuracy. The calibration problem is formulated as a bi-level constrained optimization problem and an iterative solution algorithm is proposed. A case study in a highly congested urban area of Beijing using DynaMIT-P is conducted and the combined calibration method improves the fits to surveillance data compared to the calibration based on aggregate measurements only.