Traffic management applications are supported by dynamic models fed with realistic real-time demand matrices in order to find efficient solutions in the short-term horizon. OD matrices have to be estimated from historic or real-time data collection and prior matrices. In this work, we present a simulation-optimization Bilevel-DUE approach for Dynamic OD matrix estimation suitable for off-line application, in which the lower level consists on a dynamic user equilibrium problem solved by a mesoscopic simulator. Improvements as the consideration of travel times and the use of a conjugate gradient combined with trust region scheme are introduced and analyzed. Time-sliced OD matrices generated off-line with the former procedure from historic data are suitable initializations for on-line and real-time dynamic OD estimation methods based on Kalman filtering. Some of those methods were developed by the authors in previous works and they provide realistic matrices to cope with day-to-day demand variability and real-time traffic conditions.
CitacióBullejos, M.; Barcelo, J.; Montero, L. A DUE based bilevel optimization approach for the estimation of time sliced OD matrices. A: International Symposia of Transport Simulation (ISTS) and the International Workshop on Traffic Data Collection and its Standardisation (IWTDCS). "Proceedings of the International Symposia of Transport Simulation (ISTS) and the International Workshop on Traffic Data Collection and its Standardisation (IWTDCS), ISTS'14 and IWTCDS'14". Ajaccio: 2014.