Research Article

Forecasting the Short-Term Traffic Flow in the Intelligent Transportation System Based on an Inertia Nonhomogenous Discrete Gray Model

Table 3

Comparison of simulative and predictive results between the SINDGM and TINDGM for August 28.

Serial numberCongested flow (smooth traffic)SINDGM TINDGM Congested flowSINDGM TINDGM
Simulated dataSimulated dataSimulated dataSimulated data

135.25135.25135.25159.75159.75159.75
134.50135.23129.75171.25144.59167.72
121.75135.24132.71178.75149.78176.35
134.50135.24132.69176.00153.20182.02
139.75135.24132.70180.25155.44185.75
137.75135.25132.70184.00156.92188.20
121.75135.25132.70207.25157.89189.81
134.75135.25132.70185.50158.53190.87
MAPE0.04090.04730.15940.0335

Forecasted dataForecasted dataForecasted dataForecasted data

138.75135.25132.70208.25158.94191.57
140.50135.25132.70221.75159.22190.03
140.00135.25132.70190.00159.40192.32
137.00135.25132.70186.00159.52192.53
MAPE0.02730.04560.20550.0654