Aid decision making system for Vehicle insurance rate in big data era

A car insurance rate and auxiliary decision-making technology, applied in the physical field, can solve problems such as difficult real-time detection of driver's driving behavior

Inactive Publication Date: 2016-11-16
上海经达信息科技股份有限公司
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  • Abstract
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Problems solved by technology

In the existing technology, it is difficult to detect

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  • Aid decision making system for Vehicle insurance rate in big data era
  • Aid decision making system for Vehicle insurance rate in big data era
  • Aid decision making system for Vehicle insurance rate in big data era

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Embodiment 1

[0012] like figure 1 As shown, the auto insurance rate decision-making system in the era of big data of the present invention includes a data collection and processing module, a driving behavior analysis module under a big data platform, and a vehicle insurance rate decision-making module. The navigation device is connected to the monitoring platform to obtain the driving data of the target vehicle, including the license plate number, driving speed, latitude and longitude, and mileage. The source data of the vehicle driving is stored in a relational database, and the original data is preprocessed using SQL statements. The driving behavior analysis module includes: speeding behavior analysis, overloading behavior analysis, night driving behavior analysis, rapid acceleration or deceleration driving behavior analysis and fatigue driving behavior analysis, the speeding behavior analysis is carried out by using the hidden Markov algorithm for road network matching , then determine ...

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Abstract

The invention discloses an aid decision making system for a vehicle insurance rate in a big data era. The system comprises a data collection and processing module, a driving behavior analysis module in a big data platform, and a vehicle insurance rate decision making module. Driving Beidou/GPS data of a driver is collected according to a vehicle-mounted Beidou/GPS positioning system; a driving behavior of the driver is analyzed according to the data; and fatigue driving, night driving, overspeed driving, overload driving and fast acceleration and deceleration of the driver are analyzed. The driving behavior of the driver is evaluated by analyzing the data, and the driving behavior is scored, thereby providing information for vehicle insurance rate establishment.

Description

Technical field: [0001] The invention relates to the field of physics, in particular to vehicle driving behavior analysis technology, in particular to an auxiliary decision-making system for car insurance rates in the era of big data. Background technique: [0002] Some vehicle drivers have unsafe driving behaviors. These driving behaviors are likely to cause traffic accidents. Different drivers have different driving habits. Determining auto insurance rates based on drivers’ driving behaviors is the future development direction of auto insurance. In the prior art, it is difficult to detect and evaluate the driving behavior of the driver in real time. Invention content: [0003] The purpose of the present invention is to provide an auxiliary decision-making system for auto insurance rates in the era of big data. The auxiliary decision-making system for auto insurance rates in the era of big data needs to solve the problem that it is difficult to detect the driver's driving...

Claims

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Application Information

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IPC IPC(8): G06Q40/08G06F17/30G06K9/00
CPCG06F16/2462G06F16/285G06Q40/08G06V20/597
Inventor 罗赞文文巨峰穆祥强许伟
Owner 上海经达信息科技股份有限公司
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