Research Article

Risk Analysis of Vehicle Rear-End Collisions at Intersections

Table 3

Stopping probability models for stop-and-go decision.

ModelExplanatory variableCoeff.S.E.Wald testdfSig.Exp (B)

Category 1: presence of RLC = 1Potential time (s)2.4450.42333.43210.00011.528
Constant−6.6201.19030.94610.0000.001

Category 2: presence of RLC = 0Potential time (s)1.2960.25226.47310.0003.655
Constant−6.7091.09337.71310.0000.001

All samplesPotential time (s)1.1830.21869.45110.0006.129
Presence of RLC3.9400.60043.09410.00051.435
Constant−8.8761.00378.28210.0000.000

Note: log likelihood (fitting results of model) = 447.892. Hosmer and Lemeshow test of goodness of fit () = 0.329 ( > 0.05 indicates good result). Area under receiver operating curve = 0.979, which gives validity of model with lower bound of 0.968 and the upper bound of 0.990 (95% confidence interval). Percentage correct = 0.923. Coeff. = coefficient; S.E. = standard error; df = degrees of freedom; Sig. = significance. RLC is dummy variable (0 = non-RLC, 1 = RLC).