Abstract
This paper proposes the modeling of longitudinal driving behavior based on urban driving data of micro electric vehicle. First, the urban driving data is collected by on-road experiments using continuous sensing drive recorder equipped in the micro electric vehicle. Next, the pedal operation for longitudinal vehicle control is divided into several modes. Therefore, the driver model is formulated by setting up the input-output relationship of each operation mode and each mode switching based on the collected naturalistic urban driving database. The driver model parameters are identified and the validity of the driver model is verified. Finally, the synthesized driver model is used for detecting hurry driving by comparison between the model-based estimated and the measured pedal operation in hurry driving situation.
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