in this paper, we propose a sensitivity analysis for evaluating the effectiveness of recovery solutions in the case of disturbed rail operations. indeed, when failures or breakdowns occur during daily service, new strategies have to be implemented so as to react appropriately and re-establish ordinary conditions as rapidly as possible. in this context, the use of rail simulation is vital: for e...

This paper concerns with aggregate calibration of urban travel demand model parameters from traffic counts. A bilevel sequential Non-linear Generalised Least Square Estimator (NGLS) has been proposed to calibrate a travel demand model. The first aim was to find out the effects of the required input data accuracy assumptions on the model calibration. The second aim was to show the possibility to...

Travel demand models have been providing decision-support for transportation infrastructure planning over the past half-century. However, with limited opportunities for new highway and transit infrastructure in congested areas, “demand-oriented” policy measures (e.g. travel demand management), which allow for more efficient usage of existing road and transit capacity, require improved methods o...