Patent ID: 11893882
Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Field: Control (Instruments)
Classification: CPC G | IPC G

Claim 1:
2. The system of claim 1 wherein the at least one processor is programmed to use the causal inference model according to:

Y(pi,t)=Σk=1PmkY(pi,t−k)+Σk=0PnkX(pj,t−k)+Σk=0POkε(pi,t−k)+φ

where Y(pi, t) represents the non-recurring congestion in the location pi at the time slot t; where Σk=1PmkY(pi, t−k) represents an historical congestion in location pi at [t−K, t−1]; where mk represents a weighted vector function for element Y(pi, t−k) at time slot t−k; where Y represents a non-recurring congestion vector in an historical data; where k represents a kth historical time slot before a current time slot t; where Σk=0PnkX(pj, t−k) represents an historical non-recurring congestion in location pj at [t−K, t]; where nk is associated with at least one causal factor; where X represents the causal factor that contributes to a formation of a non-recurring congestion event Y; where Σk=0POkε(pi, t−k) represents an autocorrelation function between a non-recurring congestion event vector Y and a causing factor vector X, which is normally to be assumed as a normal (Gaussian) distribution N(O, σ2); where Ok represents a weighted function for an autocorrelation function element ε(pi, t−k); where k represents the kth historical time slot before the current time slot t; and where φ represents a random Gaussian noise.