The invention discloses a
traffic flow three parameter
real time prediction method taking regard of space-
time correlation. According to the method, on the basis of acquiring
traffic flow rate, speed and occupancy data of a target section and upstream and downstream sections of the target section, a
state space model for multivariable short time prediction of
traffic flow three parameters is established; according to
spatial correlation of various traffic variables at different
data acquisition sections, an observation equation of the
state space model is established; according to time autocorrelation and cross correlation of the multiple traffic variables at one same
data acquisition section, a state equation of the
state space model is established; prediction and iteration update of the traffic flow three parameters are realized by employing the
Kalman filtering algorithm. The method makes full use of the
spatial correlation of the traffic flow three parameters at the different
data acquisition sections, the time autocorrelation and the cross correlation of the different traffic variables at one same data acquisition section, the multivariable prediction
algorithm is employed, and thereby traffic flow short time prediction accuracy is facilitated.