Browsing by Keyword "Hazards"
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Item Estimating the resilience of, and targets for, a transport system using expert opinion(2021-12) Martani, Claudio; Adey, Bryan T; Robles, Ignacio; Gennaro, Federico di; Pardi, Livia; Beltran-Hernando, Iñaki; Toribio-Diaz, Concepcion; Redondo, Noemi Jimenez; Díaz, Adrián Antonio Moli; Tecnalia Research & Innovation; E&I SEGURAS Y RESILIENTESTo ensure that transport infrastructure provides acceptable levels of service with respect to extreme events, the resilience of the infrastructure needs to be estimated and targets for it need to be set. Recent work in the European research project Future Proofing Strategies for Resilient Transport Networks against Extreme Events (Foresee) has shown how this can be done in situations with a wide range of available data, time frames for the estimation and expertise. This paper provides an example of how an infrastructure manager can use the guideline to estimate the resilience of, and set resilience targets for, an example transport system in a relatively short period of time, even in the case of limited expertise in all the relevant areas and limited knowledge and information on all the basic input variables. The example is fictive but realistic. It is based on a transport system consisting of a section of the A16 highway, in Italy, where a potential landslide could discharge enough material to damage road sections and bridges. The resilience is estimated using resilience indicators with differentiated weights, and the resilience targets are set using cost–benefit analysis, to identify the indicators to be improved first.Item Safety assessment of automated vehicle functions by simulation-based fault injection(IEEE, 2017-07-27) Juez, Garazi; Amparan, Estibaliz; Lattarulo, Ray; Rastelli, Joshue Perez; Ruiz, Alejandra; Espinoza, Huascar; Tecnalia Research & Innovation; CIBERSEC&DLT; CCAM; QuantumAs automated driving vehicles become more sophisticated and pervasive, it is increasingly important to assure its safety even in the presence of faults. This paper presents a simulation-based fault injection approach (Sabotage) aimed at assessing the safety of automated vehicle functions. In particular, we focus on a case study to forecast fault effects during the model-based design of a lateral control function. The goal is to determine the acceptable fault detection interval for permanent faults based on the maximum lateral error and steering saturation. In this work, we performed fault injection simulations to derive the most appropriate safety goals, safety requirements, and fault handling strategies at an early concept phase of an ISO 26262-compliant safety assessment process.