Traffic risk warning method and system of smart phone based on vehicle noise

Abstract

The invention relates to a traffic risk warning method and system of smart phones based on vehicle noise, which is characterized in that the system comprises a data acquisition module, a feature extraction module, a central processing unit, a background database, a control module and an early warning module based on the smart phones. A matching relationship and a model are established in the background database by utilizing the acquisition of the training samples. A vehicle noise data group is collected in real time and features of the vehicle noise data group are collected through the smart phones. A result is output by recalling the matching relationship and the model stored in the background database. Analyzing and judging the result to control smart phones to trigger the initial warning and the emergency warning which can promptly remind the commuters of the danger who have hearing loss or are addicted to watching smart phones or listening to music with headset while walking. The traffic risk warning method and system of smart phones based on vehicle noise can also improve the safety of road travelers and reduce the accident rate on the road effectively.

Description

technical field [0001] The invention relates to the fields of traffic safety and acoustics, in particular to a vehicle noise-based smart phone traffic hazard early warning method and system. Background technique [0002] Nowadays, while smart phones bring great convenience to people, they also pose potential traffic safety hazards. The phenomenon of using earphones to listen to mobile phones while walking or cycling on the road can be seen everywhere, because people are addicted to watching mobile phones or using earphones on the road. Traffic accidents caused by listening to mobile phones and not being able to notice the conditions of road vehicles are often reported by the media; in addition, at intersections or crosswalks without signal control, some hearing-impaired special populations cannot predict the blind spots of intersections or crosswalks in advance due to their own disabilities Whether there is an oncoming vehicle, and it is easy to be ignored by the driver and ...

AI Technical Summary

Problems solved by technology

[0002] Nowadays, while smart phones bring great convenience to people, they also pose potential traffic safety hazards. The phenomenon of using earphones to listen to mobile phones while walking or cycling on the road can be seen everywhere, because people are addicted to watching mobile phones or using earphones on the road. Traffic accidents caused by listening to mobile phones and not being able to notice the conditions of road vehicles are often reported by the media; in addition, at intersections or crosswalks without signal control, some hearing-impaired special populations cannot predict the blind spots of intersections or crosswalks in advance due to their own disabilities Whether there is an oncoming vehicle, and it is easy to be ignored by the driver and cause traffic accidents

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