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. Author manuscript; available in PMC: 2018 Sep 12.
Published in final edited form as: Transp Res Part C Emerg Technol. 2017 Mar;76:132–149. doi: 10.1016/j.trc.2017.01.003

Table 5.

Algorithm for modeling behavior impact of ADAS.

DEFINE t = 0; (t represents time elapsed since the ADAS triggers alarm)
DH* = DH0;
PRT* = PRT0;
FOR each ADAS-equipped vehicle in the network
    IF actual headway < HWADAS AND actual spacing >= WD
        DH* = DH1;
        t = time step;
    ELSE IF actual headway P HWADAS AND actual spacing < WD
        PRT* = PRT1;
        t = time step;
    ELSE IF actual headway < HWADAS AND actual spacing < WD
        DH* = DH1;
        PRT* = PRT1;
        t = time step;
    ELSE
        IF 0 < t < Δt1
            DH* = DH1;
            PRT* = PRT1;
            t = t + time step;
        ELSE IF Δt1 < t < Δt1 + Δt2
            DH* = DH2;
            PRT* = PRT2;
            t = t + time step;
        ELSE
            DH* = DH0;
            PRT* = PRT0;
            t = 0;
        END IF
    END IF
END FOR