Page 127 - 360.revista de Alta Velocidad - Nº 5
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                                                                                      número 5 - junio - 2018. Pág 125 - 147













                       Probabilistic  Safety  Analysis  of High Speed and Conventional

                                                                                            Railway Lines



                                                                                 Grande, Zacarías

                                                                           Blanco López, Marta

                                                                   García Tamames, Alberto

                                                                                  Castillo, Enrique


                                                                                           University of Cantabria
                                                                                                             1
                                                                              Spanish Royal Academy of Engineering



                               Abstract:
                               A probabilistic safety analysis methodology based on Bayesian network model is
                               presented, in which all the elements encountered when travelling along a railway
                               line, such as terrain, infrastructure, tunnels, viaducts, light signals, speed limit
                               signs, curves, switches, rolling stock, and any other element related to its safety
                               are reproduced. Especial attention is given to human error and modelling the
                               driver behaviour variables and their time evolution. The conditional probabilities
                               of variables given their parents are given by means of closed formulas, which
                               facilitate  the  software implementation  of  the  proposed models.  The model
                               provides a probabilistic safety assessment of the line such that its most critical
                               elements can be identified and sorted by importance. This permits improving
                               the line safety and optimizing the maintenance program by concentrating on the
                               most critical elements. To reduce the complexity of the problem, a method is
                               given that divides the Bayesian network into small parts such that the complexity
                               of the problem becomes linear in the number of items. In addition, when an
                               accident occurs, a backward inference process allows us to identify the causes
                               of incidents. The case of the real Palencia–Santander and Vitoria-Zaragoza lines
                               together with some other simple examples are used to illustrate the advantages
                               of the proposed methodology.

                               Keywords: Bayesian networks, Backward analysis, Partition technique.

                       1   Grande, Zacarías. University of Cantabria. Email: zgandrade@gmail.com
                         Blanco López, Marta. University of Cantabria. Email: marta.blancolo@alumnos.unican.es
                         García Tamames, Alberto. University of Cantabria. Email: alberto.garciat@alumnos.unican.es
                         Castillo, Enrique. Founder Member of the Spanish Royal Academy of Engineering. Email: castie@unican.es


                   International Congress on High-speed Rail: Technologies and Long Term Impacts - Ciudad Real (Spain) - 25th anniversary Madrid-Sevilla corridor  125
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