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Problem statement Probability based severity of conflicts using bivariate Extreme Value models Attila Borsos, University of Gy r, Hungary Haneen Farah, TU Delft, Netherlands Aliaksei Laureshyn, Lund University, Sweden 32 nd ICTCT Workshop,


  1. Problem statement Probability based severity of conflicts using bivariate Extreme Value models Attila Borsos, University of Gy ő r, Hungary Haneen Farah, TU Delft, Netherlands Aliaksei Laureshyn, Lund University, Sweden 32 nd ICTCT Workshop, Warsaw, Poland October 24 th – 25 th 2019 2 Extreme Value Theory and Surrogate Research gap/question Measures • First study by Tarko (2006) • How can we predict nearness to collision and • Studies applied BM and/or POT severity at signalized intersections for vehicle- vehicle interactions using the Extreme Value Theory? • Mostly univariate, just a few bivariate studies (TTC&Speed, TTC&Time headway) 3 4 Methodology TTC vs. T2 • Time until a collision • Time needed for the • Literature review 2nd road user to arrive • Assumes unchanged • Data from the Minsk study at conflict point speed and trajectory • TTC & T2 vs. Relative speed and Extended • Based on planned • Acceleration/deceleration DeltaV paths, and current not taken into account • Application of bivariate POT speeds • Requires a collision • Discussion • Calculated for crossing course course interactions, as • Further steps • Ignores many potential well conflicts • Continuous (min value) • Continuous (min value) 5 6

  2. Relative speed / Extended DeltaV Case • speed of a moving • change of the velocity • Two-phase signalized intersection in Minsk vehicle relative to vector by a road user • 32 PDO crashes (5 straight-left turn) 1999-2009 another moving vehicle during a crash • Recordings for 2 days (6AM – 9PM) • takes into account • takes into account • Straight moving – left turning interactions speeds only vehicle masses, • Subsets for indicators speeds and angle • highest of the two is – TTC: n=193 used – T2: n=789 7 8 CDFs Severity vs. probability based risk levels Relative speed or Severity levels Severity levels Delta-V0 (m/s) R 1,1 R 0,1 R 0,1 R 1,1 u 2 R 1,0 R 0,0 R 1,0 R 0,0 0 u 1 TTC min or T 2min (s) 9 10 Modeling – focusing on R 1,1 Bivariate POT Modeling Modeling dependence and dependence and Threshold selection marginal marginal Marginal distributions (spectral measure plot distributions distributions + univariate POT plots) simultaneously separately •excesses above threshold (u) have a Generalized Bivariate GPD with Copula logistic distribution (entire range of data + Pareto Distribution (GPD) with two parameters, the (other distr.s tested) univariate POT) shape � and the scale � parameters Risk levels Risk levels Dependence (parametric – logistic) •dependence parameter ( α ) 11 12

  3. Dependence Bivariate GPD results • Threshold selection – e.g. TTCmin & rel. speed (4s and 15m/s) – e.g. T2min & rel. speed (2s and 18m/s) • Dependence – TTCmin & rel. speed or Delta-V0: 0.746 & 0.897 – T2min & rel. speed or Delta-V0: 0.999 both – Overall: there is weak or no dependence between temporal and speed related indicators 13 14 Bivariate GPD results Severity levels • Logistic distribution performs well • What is known • What is unknown • Probability based risk levels Severity levels Severity levels Relative speed or Delta- V0 (m/s) • Validation (?) R 1,1 R 0,1 R 0,1 R 1,1 u 2 R 1,0 R 1,0 R 0,0 R 0,0 0 u 1 TTC min or T 2min (s) 15 16 Severity combined with risk levels How about the other 3 regions? Severity levels Severity levels Relative speed or Delta- • Empirical copula (TTC-relative speed) V0 (m/s) R 1,1 R 0,1 R 1,1 R 0,1 u 2 R 1,0 R 1,0 R 0,0 R 0,0 0 u 1 TTC min or T 2min (s) 17 18

  4. How about the other 3 regions? Conclusions • No or weak dependence – vehicles getting closer • Empirical copula (T2-relative speed) do not show high relative speed or Delta-V • Crash severity distribution can be constructed – validation even more problematic • Shape of empirical CDFs are different – steeper for crossing course T2 • No differences found between relative speed and Extended DeltaV • Resulting risk levels can be combined with severity levels 19 20 Further research • Validation – crash severity distribution Thank you! – Video based accident data for longer period – Speeds at collision • Bivariate models – Research on a dataset where Swedish TCT plane is available, or – Construct the severity lines first for other variable pairs • Other interactions • Threshold selection • … 21

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