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Real-time safety analysis using autonomous vehicle data: a Bayesian hierarchical extreme value model
Transportmetrica B: Transport Dynamics, 2022This study proposes an approach for real-time road network safety analysis using autonomous vehicles (AVs) generated data. The approach utilises a Bayesian hierarchical spatial random parameter extreme value model (BHSRP).
A. Kamel, T. Sayed, Chuanyun Fu
semanticscholar +1 more source
An extreme value theory based approach for calibration of microsimulation models for safety analysis
Simulation modelling practice and theory, 2021There is an increasing interest in using microsimulation models for traffic safety evaluations and several calibration procedures were proposed for the simulation models to obtain a high correlation between the simulated and field-measured conflicts ...
Yanyong Guo +3 more
semanticscholar +1 more source
Bayesian Analysis of Extreme Values by Mixture Modeling
Extremes, 2003It is supposed that the observed exceedances over some fixed threshold are generated by a Poisson process with intensity \[ \Lambda_y= ( 1+\xi(y-\mu)/ \psi)^{-1/\xi}, \] where \(\mu\) is the location, \(\psi\) is the scale and \(\xi\) is the shape parameter.
Bottolo, Leonardo +3 more
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Extreme value analysis in biometrics
Biometrical Journal, 2009AbstractWe review some approaches of extreme value analysis in the context of biometrical applications. The classical extreme value analysis is based on iid random variables. Two different general methods are applied, which will be discussed together with biometrical examples.
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2000
The extreme (upper or lower) parts of a sample, such as flood discharges; high concentration of air pollutants; claim sizes over a higher priority in reinsurance business; larger losses on financial markets; have exhibited an increasing risk potential during the last decades.
Rolf-Dieter Reiss, Michael Thomas
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The extreme (upper or lower) parts of a sample, such as flood discharges; high concentration of air pollutants; claim sizes over a higher priority in reinsurance business; larger losses on financial markets; have exhibited an increasing risk potential during the last decades.
Rolf-Dieter Reiss, Michael Thomas
openaire +1 more source
Advances in Water Resources, 2018
This study expands the Metastatistical Extreme Value (MEV) framework to sub-daily rainfall frequency analysis and compares it to extreme value theory methods in presence of short records and measurement errors. Ordinary events are identified based on the
Francesco Marra +3 more
semanticscholar +1 more source
This study expands the Metastatistical Extreme Value (MEV) framework to sub-daily rainfall frequency analysis and compares it to extreme value theory methods in presence of short records and measurement errors. Ordinary events are identified based on the
Francesco Marra +3 more
semanticscholar +1 more source
Covariate Extreme Value Analysis Using Wave Spectral Partitioning
, 2020An important requirement in extreme value analysis (EVA) is for the working variable to be identically distributed.
J. Portilla‐Yandún, E. Jácome
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Extreme value analysis of wave climate in Chesapeake Bay
Ocean Engineering, 2018A thirty-seven year wave hindcast (1979–2015) in Chesapeake bay using NCEP's Climate Forecast System Reanalysis (CFSR) wind is presented. The long-term significant wave heights are generated by the third-generation nearshore wave model SWAN, which is ...
Arash Niroomandi +4 more
semanticscholar +1 more source
Design conditions for waves and water levels using extreme value analysis with covariates
Ocean Engineering, 2019This article presents a step-by-step procedure for estimation of the joint distribution of N-year maximum significant wave height, individual wave and crest heights, and total water level, accommodating the effects of directional and seasonal variation ...
G. Feld +3 more
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Safety analysis of unsignalized intersections: a bivariate extreme value approach
Transportation letters, 2020Application of extreme value theory (EVT) to road safety analysis is gaining interest, thanks to its ability to produce quick and reliable safety evaluations without the use of crash data.
Massimiliano Gastaldi +3 more
semanticscholar +1 more source