May be this variant with grouping will do the thing?

df = df.assign(grp=df[0].str.contains(r"\++").cumsum())
res = df.groupby("grp").apply(lambda x: x.iloc[-3,2] 
                              if "truck"  in x[1].values
                              else None,
                              include_groups=False).dropna()