Driving behavior scoring method based on BP neural network

A BP neural network and behavior technology, applied in the research field of driving behavior data analysis, can solve the problems of insufficient data, artificial interference of weight ratio, insufficient dimension of driving behavior data, etc., and achieve the effect of expanding dimension and high accuracy

Pending Publication Date: 2018-10-26
合肥湛达智能科技有限公司
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Problems solved by technology

[0004] The existing user driving behavior scoring method uses a logistic regression model or smart phone to collect data to judge the driving behavior of the driver user during driving, which has two limitations: 1. The data is not comprehensive enough to take into account the weather environment, External info

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  • Driving behavior scoring method based on BP neural network
  • Driving behavior scoring method based on BP neural network
  • Driving behavior scoring method based on BP neural network

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Embodiment Construction

[0048] The technical solution of this patent will be further described in detail below in conjunction with specific embodiments.

[0049] see Figure 1-2 , a driving behavior scoring method based on BP neural network, comprising the following steps:

[0050] (1) Collect driving behavior data and determine the driving behavior index system; when using neural networks to evaluate driving behavior, it is necessary to first determine the main characteristics that can correctly reflect the driver’s driving behavior. The driving behavior includes: lane departure, front vehicle collision, Keep distance between vehicles, rapid acceleration, rapid deceleration, sharp turn, speeding;

[0051] First, the on-board ADAS system is used to collect data. The driving behavior data is collected from the road condition information collected by the on-board system ADAS camera, the number of lane departures calculated from the road condition information, the number of collisions with front vehicl...

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Abstract

The present invention discloses a driving behavior scoring method based on the BP neural network. The method comprises the following steps: (1) collecting driving behavior data, and determining a driving behavior index system; (2) constructing a BP neural network topology model; (3) performing data normalization processing on the collected driving behavior data samples; (4) using the constructed BP neural network topology model for training learning; and (5) calculating the driver behavior score according to the scoring system formula. According to the driving behavior scoring method based onthe BP neural network disclosed by the present invention, the technical problems that the traditional scoring method has insufficient accuracy and one-sided evaluation are solved, and by constructingthe BP neural network, the driving behavior of the driver can be comprehensively, objectively, scientifically and normatively evaluated.

Description

technical field [0001] The invention relates to the research field of driving behavior data analysis, in particular to a driving behavior scoring method based on BP neural network. Background technique [0002] With the rapid development of my country's economy and the continuous improvement of people's living standards, the number of vehicles is growing at a blowout rate. At the same time, traffic accidents, especially vicious traffic accidents, are also showing a rising trend. And standardize the relevant traffic laws and regulations, to a certain extent, the traffic accidents and economic losses have been reduced, but there is still a lack of effective, scientific and systematic technical means and social consensus on driving safety. [0003] As the main body of decision-making and implementation of road traffic, the driver's bad driving behavior has a certain degree of stubbornness and potentiality, and it is often a natural violation of bad habits that gradually form. I...

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Application Information

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IPC IPC(8): G06Q10/06G06N3/08
CPCG06N3/084G06Q10/06393
Inventor 张中王定国李安
Owner 合肥湛达智能科技有限公司
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