|299-4-Some Innovative Solutions for Designing High-Speed Railway Lines and Probabilistic Safety Analysis of Highways or Railway Lines|
Some Innovative Solutions for Designing High-Speed Railway Lines and Probabilistic Safety Analysis of Highways or Railway Lines
主讲人：Enrique Castillo 教授
Dr. Enrique Castillo is a Professor in the Department of Applied Mathematics and Computational Sciences and the School of Civil Engineering at the University of Cantabria, Spain. He got two Ph. D. degrees in Civil Engineering from Northwestern University (1972) and the Polytechnical University of Madrid (1973). He has participated in more than 40 research projects and has authored 14 books in English and 15 in Spanish. He has presented 165 publications in Congresses and 249 papers published in 107 different journals. He has delivered talks, seminars and courses in 22 universities in Spain and 21 foreign universities. He has directed 41 Ph. D. theses (28 in Engineering, 9 in Mathematics, 2 in Informatics, 1 in Medicine, and 1 in Economics) and has been Editor, Associated Editor and referee for more than 40 international journals, and advisor of 8 institutions or editorial companies. He is a Member of the Spanish Royal Academy of Engineering and of the Spanish Royal Academy of Sciences. He has been honored with the National prize in Engineering Research and with the Honoris Causa Doctorate by the Universities of Oviedo, Castilla-La Mancha and Catholic University of Valparaíso (Chile). His main fields of research are: extreme value distributions, optimization and operations research, functional equations, artificial intelligence and Bayesian networks, modeling of engineering problems, functional networks, traffic engineering and innovative railway solutions including high speed lines and reliability analysis.主讲内容简介：
In this seminar we describe two innovative solutions: the first is the alternate double-single track (ADST) railway lines, which allows reducing the construction and maintenance costs in 40% without a significant amount of travel time for intermediate traffic densities. The idea consists in building single track in very costly areas (tunnels and viaducts) and double track in cheap areas (open zones) and adjusting the time schedules for trains to cross in double track segments. The optimization problem suggested and some real examples of applications are given. The second innovation refers to a probabilistic safety analysis model based on Bayesian networks, which permits evaluating how the risk of accident increases when travel progresses along a road and several possible causes, such as terrain, infrastructure, light signals, speed limit signs, intersections, roundabouts, curves, tunnels, viaducts, and any other safety relevant elements are reproduced. Since human error is the main cause of accidents, special attention is given to modeling the driver behavior variables (driver’s tiredness and attention) and to how they evolve with time or travel length. The probabilities of incidents are calculated so that a probabilistic safety assessment of the road can be done and its most critical elements can be identified and sorted by importance. This permits the improvement of road safety making adequate corrections to save time and money in the maintenance program by concentrating on the most critical elements and effective investments. Finally, some real examples of a Spanish highway and a conventional road are provided to illustrate the proposed methodology and show its advantages and performance. The method has also been applied to real railway lines.