Research Article

The Model of Severity Prediction of Traffic Crash on the Curve

Table 1

Evaluation of independent variables.

Evaluation of the categoryVariable symbolVariable contentVariable assignment

Driver GenderFemale = 0, male = 1
Age classificationAge from 16 to 25 = 0, 26 to 35 = 1, 36 to 45 = 2, above 46 = 3
Household registerAgriculture household = 0,
nonagricultural household = 1
Driving experience classification1–5 years = 0, 6–10 years = 1, 11–15 years = 2,
16–20 years = 3, above 20 years = 4
The accident responsibilityMinor responsibility = 0, equal responsibility = 1, main responsibility = 2, all responsibility = 3

Driving environment WeatherSunny = 0, not sunny (rain, snow, fog, cloudy, wind) = 1
TerrainPlain = 0, others = 1
VisibilityAbove 200 m = 0, 100–200 m = 1, 50–100 m = 2, below 50 = 3
Road surface conditionDry = 0, not dry (rain, ice) = 1
Lighting conditionDay = 0, night with light = 1, night without light = 2

Road environment Traffic signal typeWith signal control = 0, without signal control = 1
Roadside facilities protection typeWith roadside protection = 0,
without roadside protection = 1
Road physical isolationWith isolated = 0, without isolated = 1
Pavement structureAsphalt pavement = 0, not asphalt pavement = 1
Road conditionsRoad surface in good condition = 0,
pavement damage = 1