| Popis: |
The optimization of train speed with respect to energy criteria is a majorecological and economic challenge for the railway sector. This optimization is howevercomplex due to the constraints of comfort and punctuality to be respected as well as the presenceof uncertainties in the system (wind, humidity which modifies the characteristics of thewheel/rail contact, yield parameters...) This work presents an original method based on twosimplified physical models, Bayesian inference of the parameters from on-line measurements,the definition of the optimization problem integrating the constraints and uncertainties andfinally its resolution using an evolutionary algorithm. Finally, an application to a portion ofa high speed line is proposed. |
