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Vehicle lane change decision method based on BP neural network model

A BP neural network and decision-making method technology, applied in the field of active safety of motor vehicle driving, can solve problems such as difficulty in ensuring lane change safety, complex early warning algorithms, and low reliability, so as to improve accuracy and reliability, and reduce the complexity of early warning algorithms , the effect of reducing the false alarm rate

Inactive Publication Date: 2017-05-31
ZHENJIANG COLLEGE
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AI Technical Summary

Problems solved by technology

However, the existing vehicle lane-changing hazard warning system requires many devices to operate, the warning algorithm is complex, the reliability is not high, the false alarm rate cannot be controlled at a low level, and it is difficult to ensure the safety of lane-changing under any conditions

Method used

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  • Vehicle lane change decision method based on BP neural network model
  • Vehicle lane change decision method based on BP neural network model
  • Vehicle lane change decision method based on BP neural network model

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0031] like figure 1 Shown, the vehicle lane-changing decision-making method based on BP neural network model of the present invention comprises the following steps:

[0032] Step 1: Obtain sample data through the Doppler speed radar sensor, specifically the speed difference V between the lane-changing vehicle and the vehicle in front of the target lane 1 , the speed difference V between the lane-changing vehicle and the vehicle behind the target lane 2 , The speed difference V between the lane-changing vehicle and the vehicle in front of the lane 3 , the distance D between the lane-changing vehicle and the vehicle in front of the target lane 1 , the distance D between the lane-changing vehicle and the vehicle behind the target lane 2 and the distance D between the lane-changing vehicle and the vehicle in front of the lane 3 Real-time acqu...

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Abstract

The invention discloses a vehicle lane change decision method based on a BP neural network model, which utilizes the BP neural network model to provide the decision guidance for a driver when the vehicle is changing the parking lane and alarm alerts are supplied in time when danger happens at the time of lane changing. The method can effectively provide accurate and reliable decision guidance for the driver when the vehicle is changing the parking lane, and road traffic accidents caused by fault decisions at the time of lane changing are greatly reduced. The decision method comprises the steps that 1, sample data are obtained through the Doppler speed detection radar sensor; 2, a vehicle lane changing decision module based on the BP neural network model is constructed; 3, in the step of decision judgments, the obtained six sample data are loaded into the vehicle lane changing decision module in real time, and the decision judgments of vehicle lane changing are formed based on the output node classifications of the BP neural network model in the weka platform.

Description

technical field [0001] The invention relates to a vehicle lane change decision method based on a BP neural network model, and belongs to the technical field of active safety of motor vehicle driving. Background technique [0002] Vehicle lane change is one of the most common behaviors in road driving, and the wrong decision of vehicle lane change has always been one of the important reasons leading to road traffic accidents. Studies have shown that among all lane-changing accidents, the accidents caused by driver's wrong decision account for about 75% of the total accidents. Therefore, when vehicles change lanes, it is of great significance to provide drivers with accurate lane-changing decisions, which is of great significance to reduce the occurrence of road traffic accidents and improve the level of road traffic safety. [0003] Lane changing is a relatively complex driving behavior. During the lane change process, the driver needs to carefully observe the front area, r...

Claims

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Application Information

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IPC IPC(8): B60Q9/00G06N3/08
CPCB60Q9/00G06N3/084
Inventor 王俊彦蔡骏宇
Owner ZHENJIANG COLLEGE
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