DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model

Abstract

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.

Formulation and solution for calibrating boundedly rational activity-travel assignment: An exploratory study

“…In the process of calibration, the transport supply and demand interactions are reconstructed under static and time-varying conditions, which is vital to transport operations and management. Despite being at the low end of the model chain, parameter calibration has been widely studied in traffic assignment systems (Omrani and Kattan, 2012;Ben-Akiva et al, 2014;Osorio, 2019), Traffic assignment allocates the travel demand to different paths (routes) of a transport network to achieve a user equilibrium or system optimal state. It belongs to the last step of the four-step models and plays an important role in transportation demand analyses and predictions.…”

“…At the individual level, Fl€ otter€ od et al (2011) conducted the demand calibration within a Bayesian framework. Combining aggregate measurements and disaggregate route choice observations, Ben-Akiva et al (2014) improved the calibration accuracy by solving a bi-level constrained optimization problem. Incorporating the information on spatial and temporal correlation, Lu et al (2015) proposed an enhanced simultaneous perturbation stochastic approximation (SPSA) algorithm to improve the convergence and robustness of the algorithm to the DTA calibration problem.…”

“…Compared to the two benchmark methods, the algorithm improves the objective function estimated by two orders of magnitude. These calibration problems focused on the simulation-based DTA models, such as MATSim (Fl€ otter€ od et al, 2011), AMS (Chiu et al, 2010), and DYnaMIT and its extension (Antoniou et al, 2007;Ben-Akiva et al, 2014;Lu et al, 2015;Osorio, 2019).…”

Continuity of the Effective Delay Operator for Networks Based on the Link Delay Model

“…It stems from the need to simultaneously model travelers' choices and vehicular flow characteristics in a dynamic and network context (Ben-Akiva et al 2015;GoyaGómez et al 2017). For a general review of a broad class of DTA models and problems, we refer the reader to Peeta and Ziliaskopoulos (2001), Szeto and Lo (2006) and Nesterov and De Palma (2003).…”

Considering En-Route Choices in Utility-Based Route Choice Modelling

“…in both transport planning and network simulation tools (Ben-Akiva et al 2014). As a representation of individual behaviour, route choice models provide an understanding of travellers' choices under different scenarios.…”