Experiment table for collecting driving characteristic data of driver, and lane changing data collection method of experiment table

Abstract

The invention discloses an experiment table for collecting the driving characteristic data of a driver, and a lane changing data collection method of the experiment table. The experiment table comprises a driving operation mechanism, an operation signal sensor, a heart rate sensor, a bio-electricity signal sensor, head and eye motion capturing equipment, a road sensing simulation motor, a real-time dynamic simulation device, and a data collection card. The experiment can simulate different driving conditions, and reasonably collect the operation signal, heart rate, bio-electricity signal and the motion signals of the head and eyes in a driving process of the driver. The experiment table provides reliable data for the analysis and research of the driving behaviors of the driver, and the data collection method takes the operation signal as the recognition condition of different lane changing conditions, so as to control the collection frequency of the motion signals of the head and the eyes, thereby reducing the collected redundant data, and reducing the operation load of the experiment table and the storage difficulty of the data while preventing the collection data from being too large.

Description

technical field [0001] The invention belongs to the field of automobile experiments, in particular to a driver's driving characteristic data collection test platform and a lane-changing data collection method thereof. Background technique [0002] Among the causes of various traffic accidents, the human factor is the most important factor. Therefore, the study of the driver's intention during the driving process, based on the analysis of a large number of collected driver characteristic data, provides safety education and psychological counseling for the driver to improve driving safety. It is of great significance to ensure the smooth flow of roads, and at the same time, it can enrich the theory of unmanned driving and provide data support for the design of smart cars. Existing data acquisition devices based on real vehicles are expensive and risky, and some extreme working conditions cannot be realized; existing analog acquisition devices collect driver characteristic data...

AI Technical Summary

Problems solved by technology

Existing data acquisition devices based on real vehicles are expensive and risky, and some extreme working conditions cannot be realized; existing analog acquisition devices collect driver characteristic data of a single type, and most of them are concentrated on the hands and feet of the driver and the body of the car. However, the driving behavior is affected by many factors, and the biological characteristic data of the driver itself is also of great research value.

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