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Recommended fare calculation method in carpooling system

A calculation method and cost technology, applied in the field of recommended ride fare calculation, can solve problems such as difficult query of system design schemes, achieve the effect of maintaining the existing market operation order, protecting carpooling behavior, and saving costs

Inactive Publication Date: 2015-09-23
SICHUAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition to the differences in the external functions of each carpooling system, its system design scheme is difficult to query

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] Example 1: If the location of the user and the driver is in Chengdu, the taxi price is 1.9 yuan, and there is only one passenger who rides together, the driver's model is Peugeot 508, and up to 4 people can ride together, and the price is between 100,000 and 300,000 yuan. The service life is 2 years, if the user's carpooling mileage is 20 kilometers, the calculation result of the user's carpooling fee is: T=1.0; S=1.5-2*(1.5-0.6) / 10=1.32; C=1.05-1 / 4*(1.05-0.25)=0.85; Cost=1.9*0.65*20*1.0*1.32*0.85=27.71 yuan.

Embodiment 2

[0033] Example 2: If the location of the user and the driver is Chengdu, the taxi price is 1.9 yuan, there are 2 passengers sharing the ride, the driver’s model is a BMW, and up to 4 people can share the ride, the price is more than 300,000 yuan, and the service life of the vehicle is In 8 years, if the user's carpooling mileage is 10 kilometers, the calculation result of the user's carpooling fee is: T=1.2; S=1.5-8*(1.5-0.6) / 10=0.78; C=1.05-2 / 4*( 1.05-0.25)=0.65; Cost=1.9*0.65*10*1.0*0.78*0.85=7.51 yuan.

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PUM

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Abstract

In order to increase the success rate of carpooling deal and improve the legitimacy of a carpooling system, the invention discloses a recommended fare calculation method in the carpooling system. The recommended fare calculation method takes 5 main factors, which include carpool mileage M, vehicle model T, vehicle condition S, passenger number C and manual cost P of a departure city, determining the carpooling price into account; a pricing principle of the recommended fare calculation method is to be approximately equal to a cost price, thereby conforming to the non-operation vehicle property of a vehicle, so that the vehicle has legitimacy and the car using cost of a driver is reduced; and the driver does not have to input a price when issuing a route that passengers can take, and a reasonable carpooling price can be automatically calculated for each matching route and for a user to choose when the user queries the route to be taken. The recommended fare calculation method calculates a corresponding weight value for each factor, and the final user carpooling cost is calculated according to the formula: Cost=P * M * T * S * C.

Description

technical field [0001] The invention relates to the field of computer application technology and the automatic calculation of carpooling fees of an Internet carpooling system and the key technical fields, in particular to a method for calculating recommended carpooling fees in a carpooling system. Background technique [0002] Carpooling is a private car driver sharing the private car with other people to reduce personal car maintenance costs, provide convenience for others and reduce vehicle emissions, etc., to achieve a win-win situation for all parties. [0003] At present, China's car ownership is growing rapidly. In 2014, China's car production reached 23.8933 million, an increase of 0.1% over the same period last year. Private cars have reached the state where most families in big cities already have cars, and many families have begun to buy second cars. If the situation in which there is only the driver in a private car and no one else takes it is called a flight att...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07B13/00
Inventor 李新胜冯子亮
Owner SICHUAN UNIV
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