Research Article

Urban Traffic Flow Forecast Based on FastGCRNN

Algorithm 1

Generate traffic flow time series for different roads.
(1)Initialize: time_interval = 5 min (or 30 min), begin_time=2015-01-01 00:00:00, roadflow[roadid][time_num] = 0
(2)For Every data record do
(3)time_num ←(timebegin_time)/time_interval
(4)End for
(5)All data records are grouped by car_id, sorted by time_num within the group
(6)For each group records do
(7) Remove duplicates records based on road_id and time_num
(8) Count roadflow
(9)End for
(10)Output: roadflow