Research Article

Stacking Ensemble Learning Process to Predict Rural Road Traffic Flow

Table 1

Description of candidate features to predict traffic flow.

Feature nameDescription

SeasonIncluding spring, summer, fall, and winter
Solar monthIncluding 12 solar months
Lunar monthIncluding 12 lunar months
Day of a solar monthIncluding 29–31 days of a solar month
Day of a lunar monthIncluding 29–30 days of a lunar month
Time of dayIncluding 24 hours a day
6 hour before the holidaysEqual to 1 if it is 1 to 6 hour before holidays
6 hour after the holidaysEqual to 1 if it is 1 to 6 hour after holidays
Day or nightIncluding day and night
Number of holidaysThe number of sequential holidays
HolidaysIncludes 1 for holidays and 0 for other days
Holiday typeType of holidays
Holiday in three days laterEqual to 1 if three days later is a holiday
Type of holidays in three days laterIncluding the holiday type of three days later if it is a holiday, otherwise equals 0.
Holiday in three days agoEqual to 1 if three days ago is a holiday
Type of holidays in three days agoIncluding the holiday type of three days ago if it is a holiday, otherwise equals 0.
Holiday in two days laterEqual to 1 if two days later is a holiday
Type of holidays in two days laterIncluding the holiday type of two days later if it is a holiday, otherwise equals 0.
Holiday in two days agoEqual to 1 if two days ago is a holiday
Type of holidays in two days agoIncluding the holiday type of two days ago if it is a holiday, otherwise equals 0.
Holiday in a day laterEqual to 1 if a day later is a holiday
Type of holidays in a day laterIncluding the holiday type of a day later if it is a holiday, otherwise equals 0.
Holiday in a day agoEqual to 1 if a day ago is a holiday
Type of holidays in a day agoIncluding the holiday type of a day ago if it is a holiday, otherwise equals 0.