Disclosed are a driver behavior model development method and device for automatic driving, and a storage medium. The method comprises the following steps: (1) establishing a basic model in a simulation environment according to a transitive relationship between an excitation input and a theoretical output; (2) using the same excitation input as that for establishing the basic model to intervene in a target vehicle in a field test scenario, so as to acquire real output data of the target vehicle under the excitation input in the field test scenario, wherein the real output data comprises target vehicle driver decision data and target vehicle operation change data; and (3) using the acquired real output data of the target vehicle in the field test scenario to correct the basic model. The present invention is different from a method for training a huge amount of data to acquire a driver behavior model on the basis of AI technological analysis in the prior art. A driver behavior model approximating real driver behavior to the greatest extent is acquired, and an end-to-end algorithm and an end-to-end solution are effectively extracted.
DRIVER BEHAVIOR MODEL DEVELOPMENT METHOD AND DEVICE FOR AUTOMATIC DRIVING, AND STORAGE MEDIUM