Method for monitoring driving time

Abstract

The invention discloses a method and a device for monitoring driving time. When a vehicle is started up, a timer is simultaneously started up to start to count the driving time. Whether a pavement environment under which the vehicle runs at present is changed or not is detected in real time during the running of the vehicle. If the pavement environment is changed, the timer is reset to recount the driving time under the new pavement environment. During the running of the vehicle, the current time value of the timer is compared with a preset time value corresponding to the pavement environment under which the vehicle runs at present in real time. If the current time value is equal to the preset time value, a prompt is given to warn and prompt a driver about the driving time and remind the driver of not driving the vehicle at fatigue. Accordingly, the standard for judging the fatigue driving time of the driver corresponds to the pavement environment under which the vehicle runs at present. Therefore, the driver can be reminded about the driving time in proper time according to the pavement environment under which the vehicle runs at present, the result of judging whether the driver is fatigued or not is more accurate and the driver can be reminded more effectively in more proper time.

Description

technical field [0001] The invention relates to the traffic field, in particular to a method and device for monitoring driving time. Background technique [0002] In traffic accidents, the rate of accidents caused by fatigue driving is relatively large. According to statistics, it accounts for more than 50% of all traffic accidents. When driving in a fatigued state, the control ability of the human brain decreases, the ability of autonomous control is poor, and the response is slow. If the driver is not reminded in time, traffic accidents are likely to occur. The existing driving time monitoring equipment cannot effectively distinguish the characteristics of driving on urban roads from the characteristics of fast speed on highways and more fatigue than urban roads. A fixed driving time standard is used to judge whether the driver is fatigued, resulting in drivers Timely and effective reminders cannot be obtained when driving on the highway is fatigued, and prompts and alarm...

AI Technical Summary

Problems solved by technology

[0002] In traffic accidents, the rate of accidents caused by fatigue driving is relatively large, accounting for more than 50% of all traffic accidents according to statistics. When driving in a fatigued state, the control ability of the human brain decreases, the autonomous control ability is poor, and the response is slow. If the driver is not reminded in time, it is easy to cause a traffic accident

The existing driving time monitoring equipment cannot effectively distinguish the characteristics of driving on urban roads from the characteristics of fast speed on highways and more fatigue than urban roads. A fixed driving time standard is used to judge whether the driver is fatigued, resulting in drivers When driving fatigue on the highway, you can’t get timely and effective reminders, but when you’re not driving on urban roads, you always hear prompts and alarms, which affects the driver’s mood.

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