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Olycksrisk vid lokala oj¨mnheter och andra ytdefekter
                        a

                 Olle Eriksson, VTI
Samtidig analys av flera t¨nkbara olycksorsaker och samspel
                         a
sp˚
  ardjup    iri            kurvatur
backighet   mpd            lokal oj¨mnhet
                                   a
hastighet   tv¨rfallsfel
              a            regn
Begr¨nsningar
    a
F¨rv¨ntat antal olyckor ¨r en produkt av olycksrisk och trafikvolym.
 o a                    a
Olycksrisken beror p˚ f¨rklaringsvariabler, bl.a. lokal oj¨mnhet, och
                    a o                                   a
koefficienter som beskriver varje f¨rklaringsvariabels betydelse.
                                 o



             E[Y ] = v · f (x, β)

                   = v · eβ0+β1·x1+β2·x2+···

                   = eβ0+β1·x1+β2·x2+···+ln v
             och

             Y      ∼ Poisson eβ0+β1·x1+β2·x2+···+ln v
Modellvall, huvudeffekter, interaktioner

Y ∼ Poisson eβ0+β1·x1+β2·x2+β12·x1x2+···+ln v
Estimate      SE   P-value
(Intercept)    -11.398   0.758     0.000

kurvatur       -0.001    0.006    0.812
ojamnhet       -0.015    0.018    0.403
mpd            -0.128    0.101    0.202

backighet        0.059   0.025    0.019
Estimate      SE   P-value
rut               -0.003   0.013     0.815
tvff               0.125   0.032     0.000
rut:tvff          -0.012   0.004     0.002

iri              -0.690    0.231    0.003
hastighet        -0.045    0.004    0.000
iri:hastighet     0.011    0.003    0.000

regn2             -0.007   0.004    0.088
regn3             -0.113   0.037    0.002
regn2:regn3        0.001   0.000    0.008
ff
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Session 66 olle eriksson

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Session 66 olle eriksson

  • 1. Olycksrisk vid lokala oj¨mnheter och andra ytdefekter a Olle Eriksson, VTI
  • 2. Samtidig analys av flera t¨nkbara olycksorsaker och samspel a
  • 3. sp˚ ardjup iri kurvatur backighet mpd lokal oj¨mnhet a hastighet tv¨rfallsfel a regn
  • 5. F¨rv¨ntat antal olyckor ¨r en produkt av olycksrisk och trafikvolym. o a a Olycksrisken beror p˚ f¨rklaringsvariabler, bl.a. lokal oj¨mnhet, och a o a koefficienter som beskriver varje f¨rklaringsvariabels betydelse. o E[Y ] = v · f (x, β) = v · eβ0+β1·x1+β2·x2+··· = eβ0+β1·x1+β2·x2+···+ln v och Y ∼ Poisson eβ0+β1·x1+β2·x2+···+ln v
  • 6. Modellvall, huvudeffekter, interaktioner Y ∼ Poisson eβ0+β1·x1+β2·x2+β12·x1x2+···+ln v
  • 7. Estimate SE P-value (Intercept) -11.398 0.758 0.000 kurvatur -0.001 0.006 0.812 ojamnhet -0.015 0.018 0.403 mpd -0.128 0.101 0.202 backighet 0.059 0.025 0.019
  • 8. Estimate SE P-value rut -0.003 0.013 0.815 tvff 0.125 0.032 0.000 rut:tvff -0.012 0.004 0.002 iri -0.690 0.231 0.003 hastighet -0.045 0.004 0.000 iri:hastighet 0.011 0.003 0.000 regn2 -0.007 0.004 0.088 regn3 -0.113 0.037 0.002 regn2:regn3 0.001 0.000 0.008
  • 9. ff tv t ru risk log
  • 10. 20 15 risk 10 5 25 10 20 8 15 6 ff ru 10 4 tv t 5 2 0 0
  • 11. logris k t iri he s tig ha
  • 12. 40 30 risk 20 10 6 120 5 110 4 100 3 t ir i he 90 stig 2 ha 1 80 0 70
  • 13. 3 gn re 2 gn re risk log
  • 14. 60 risk 40 20 250 60 50 200 40 re gn 30 3 2 gn re 20 150 10 0