A monitoring and intervention device for adaptive distracted driving behavior

Abstract

The invention discloses a monitoring and intervention device for self-adaption distraction driving behaviors. The device comprises an information collection module, an information processing module and an early warning module, and the information collection module collects all pieces of behavior index data of a driver through a steering wheel operation monitoring unit, a speed monitoring unit, anacceleration monitoring unit and a vehicle position information monitoring unit. A distraction driving detection unit in the information processing module receives the collected behavior index data, establishes a distraction driving detection model, extracts significantly-different index variable data, transmits the data to a distraction behavior identification unit, establishes a distraction behavior identification model based on a multi-classification Logistic regression model, calculates and analyzes specific distraction behaviors and transmits an identification result to a self-adaption early warning chip. The self-adaption early warning chip in the early warning module triggers early warning voice according to distraction behavior characteristics when a prestored intervention optimaltime point is reached. According to the monitoring and intervention device, the danger caused by the distraction behaviors can be more effectively reduced.

Description

technical field [0001] The invention relates to the field of automobile auxiliary safety electronic devices, in particular to an adaptive monitoring and intervention device for distracted driving behavior. Background technique [0002] With the rapid development of social economy, the number of motor vehicles is also increasing rapidly, and there are more and more dangerous driving behaviors. Among them, "distracted driving" is particularly prominent. According to the definition of the International Organization for Standardization (ISO), "distracted driving" refers to a phenomenon in which the attention is directed to activities that are not related to normal driving, resulting in a decrease in driving ability . The study found that distracted driving directly leads to the decline of the driver's perception, reaction and operation ability, and indirectly leads to the decrease of road transportation efficiency and the increase of the number of traffic accidents. However, t...

AI Technical Summary

Problems solved by technology

The current distracted driving intelligent early warning device cannot accurately identify specific distracted driving behaviors, and thus cannot accurately define a reasonable timing for driving assistance systems to intervene. When the assistance system intervenes, it may cause unnecessary interference to the driver, thus affecting such systems. promotional use of

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