Method and system for assessing values of second-hand cars according to big data

Abstract

The invention discloses a method and a system for assessing values of second-hand cars according to big data. The method includes S11, acquiring model information, input by users, of to-be-accessed second-hand cars; S12, acquiring corresponding value assessment functions from a function database of a value assessment model, and after acquiring all corresponding function parameters from a parameterdatabase of the value assessment model, substituting the vehicle information into the value assessment functions to calculate market assessed prices of the to-be-accessed second-hand cars. The modelinformation includes models, license application dates, mileages, vehicle conditions, trading locations and / or colors; the value assessment model is a multi-element nonlinear calculation model acquired based on big data training, and comprises the function database and the parameter database. The method and the system have the advantages of high value assessment accuracy, high stability, capability of assessing the prices of the second-hand cars accurately, and wide application to the value assessment field of the second-hand cars.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method and system for evaluating used cars using big data. Background technique [0002] With the vigorous development of second-hand car transactions, the original pricing method relying on the experience of valuers can no longer meet market demand. With the accumulation of a large amount of used car transaction data, it has become possible and a future direction to apply machine learning to establish a mathematical model to value vehicles based on various characteristics of the vehicle. [0003] In the process of second-hand car transactions, how to conduct second-hand car valuation is an important prerequisite. Traditional used car valuation methods mainly include the following: 1. Manual valuation based on experience. This method relies on the experience of the valuer and is difficult to guarantee. The scale of the valuation and the high cost cannot meet the market demand. ...

AI Technical Summary

Problems solved by technology

[0003] In the process of second-hand car transactions, how to conduct second-hand car valuation is an important prerequisite. Traditional used car valuation methods mainly include the following: 1. Manual valuation based on experience. This method relies on the experience of the valuer and is difficult to guarantee. The scale of the valuation and the cost are very high, which cannot meet the market demand

This scheme relies on the prices of several closest transaction sources, and the transaction price has a lot to do with the bargaining power of buyers and sellers, resulting in a relatively strong randomness

Therefore, the method that relies too much on several car sources will be easily disturbed by randomness, resulting in unstable results

3. Relying on several characteristics of the vehicle source, such as vehicle age, mileage, vehicle condition and the linear relationship between these factors and the transaction price to calculate the valuation, this method oversimplifies the relationship between the characteristics of the vehicle source and the transaction price, such as the market Important factors such as dynamics, geographical differences, configurations, brands, etc. are ignored, resulting in poor accuracy and interpretability of the results

In general, the current used car valuation methods are more unstable and less accurate

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