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Automobile safety performance analysis and evaluation method and system based on big data

A technology for analysis and evaluation of automobile safety, which is applied in the field of analysis and evaluation of automobile safety performance based on big data, and can solve problems such as driving hazards

Active Publication Date: 2020-06-05
中汽数据(天津)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, if the driver does not remove the fluid in time, or does not reduce speed, it may cause danger to driving due to impaired vision or distraction

Method used

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  • Automobile safety performance analysis and evaluation method and system based on big data
  • Automobile safety performance analysis and evaluation method and system based on big data
  • Automobile safety performance analysis and evaluation method and system based on big data

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Experimental program
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Embodiment Construction

[0029] The car assisted driving system formulates corresponding assisted driving strategies for trigger events by enumerating trigger events. When a trigger event occurs during driving, the corresponding assisted driving strategy can be triggered. Whether a trigger event occurs is judged by capturing corresponding vehicle driving data, which usually includes vehicle driving parameter data, environmental data and driver behavior data. Wherein, the vehicle driving parameter data refers to various parameters during the driving process of the vehicle, including at least vehicle speed data and various vehicle control item data. The operation control of various facilities, such as vehicle driving parameter data can be obtained by extracting the data of the on-board computer system; environmental data includes obstacle orientation and distance data, road sign data, traffic light data and lane change data, etc., through the external camera device or the images captured by the in-vehic...

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Abstract

The invention discloses an automobile safety performance analysis and evaluation method based on big data. The method comprises the following steps: inputting to-be-evaluated auxiliary driving strategy data, corresponding trigger event data for triggering an auxiliary driving strategy, vehicle driving parameter data, environment data and behavior data of a driver into an evaluation model unit; enabling the evaluation model unit to evaluate the auxiliary driving strategy to be evaluated and output an evaluation result. The invention further provides an automobile safety performance analysis andevaluation system based on the big data, the system comprises a data acquisition module and a data analysis module. By adopting the technical scheme, big data analysis is carried out on the vehicle driving data; therefore, the safety of the automobile auxiliary driving strategy is evaluated or the event information which is not matched with the auxiliary driving strategy is extracted, so that reference is provided for designers, and the designers are helped to improve the automobile auxiliary driving strategy or make a strategy for supplementing events which are not matched with the auxiliarydriving strategy.

Description

technical field [0001] The invention belongs to the technical field of analysis and application of automobile big data, and in particular relates to a method and system for analyzing and evaluating automobile safety performance based on big data. Background technique [0002] The automotive industry today faces increasing challenges and pressures: cost pressures, industry competition, globalization trends, and market changes and volatility. However, big data and data analysis have brought unprecedented possibilities for automakers to deal with various challenges and problems. As data analytics capabilities improve, predictive analytics is evolving into a powerful tool that can dramatically improve forecasting efficiency as well as operations and performance. But the challenge lies in whether automakers can efficiently process this massive amount of knowledge and experience data. Simply put, the huge amount of data makes it difficult to evaluate and support the formulation ...

Claims

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Application Information

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IPC IPC(8): B60W40/08B60W40/09
CPCB60W40/08B60W40/09
Inventor 朱向雷孟菲侯珏王英资方祥毅王海洋楚思思刘春辉
Owner 中汽数据(天津)有限公司
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