TY  - JOUR
PY  - 2021//
TI  - Safety analysis of unsignalized intersections: a bivariate extreme value approach
JO  - Transportation letters
A1  - Gastaldi, Massimiliano
A1  - Orsini, Federico
A1  - Gecchele, Gregorio
A1  - Rossi, Riccardo
SP  - 209
EP  - 218
VL  - 13
IS  - 3
N2  - Application 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. Traditionally applied to single collision types and single extreme variables (i.e. surrogate measures of safety), EVT can be further exploited to simultaneously model multiple collision types, with the use of multiple extreme variables. In this paper two bivariate EVT approaches are applied for the safety evaluation of a three-leg unsignalized intersection, considering: (i) two conflict points and a single surrogate measure of safety; (ii) two surrogate measures of safety collected in a single conflict point. Each bivariate analysis was applied with two EVT methods: Component-wise Maxima (CM) and Excesses Over a Threshold (EOT). Bivariate models produced good results, especially with the EOT method, and were able to significantly improve the univariate benchmark results when the two estimation datasets were correlated.<p />  <p>Language: en</p>
LA  - en
SN  - 1942-7867
UR  - http://dx.doi.org/10.1080/19427867.2020.1861503
ID  - ref1
ER  -