Mathematical models for traffic observation and prediction and design and probabilistic safety analysis of railway lines
ABSTRACT: This thesis consists of two main parts. The first one is devoted to traffic problems, that (a) include a state-of-the-art review of the sensor location, flow observability, estimation and prediction problems in traffic networks and (b) present new methods for the optimization of link obser...
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| Tipo de recurso: | tesis doctoral |
| Fecha de publicación: | 2015 |
| País: | España |
| Institución: | Universidad de Cantabria (UC) |
| Repositorio: | UCrea Repositorio Abierto de la Universidad de Cantabria |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.unican.es:10902/8202 |
| Acceso en línea: | http://hdl.handle.net/10902/8202 |
| Access Level: | acceso abierto |
| Palabra clave: | Via Alternada Doble Simple Análisis probabilista de seguridad Sensores tráfico Optimización observabilidad Redes bayesianas Alternate Double Single Track Probabilistic safety analysis Traffic counter Observability optimization Bayesian networks |
| Sumario: | ABSTRACT: This thesis consists of two main parts. The first one is devoted to traffic problems, that (a) include a state-of-the-art review of the sensor location, flow observability, estimation and prediction problems in traffic networks and (b) present new methods for the optimization of link observability based on linearly independent paths. The second part deals with some railway problems, including: (a) the alternate double-single track proposal (ADST) for high speed peripheral railway lines, which optimizes the construction investment and (b) a new method for probabilistic safety analysis (PSA) of railway lines based on Bayesian networks to assess safety level of any line, and to detect their critical points. It is worth to indicate that two software have been developed to study of ADST and PSA analysis. |
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