Variable coefficient grey model short-term traffic flow prediction method

• Main Authors: SONG YUXIN, CHENG YUNLONG, DUAN HUIMING, HE CHENGLIN, ZHOU QIQI, XIE DERONG
• Format: Patent
• Language: Chinese; English
• Published: 28.05.2024
• Subjects: PHYSICS; SIGNALLING; TRAFFIC CONTROL SYSTEMS

The invention relates to a variable coefficient grey model short-time traffic flow prediction method, which belongs to the technical field of traffic prediction and comprises the following steps: S1, establishing an initial traffic flow sequence based on traffic flow data to obtain a target traffic flow sequence; s2, preprocessing the original traffic flow sequence, namely calculating a first-order accumulation generation sequence, an n-order accumulation subtraction generation sequence and a mean value sequence; s3, establishing a high-order variable coefficient-based grey Euler short-term traffic flow prediction model EEGM (n, 1); constructing matrixes B and Y to obtain estimated values of model parameters; s4, optimizing by adopting a particle swarm algorithm, namely searching the optimal order of the model by using the particle swarm algorithm, and constructing the model according to the searched optimal order and the parameter value calculated by the least square method; and S5, calculating a simulation