Method and system for realizing car rental business

Abstract

The invention discloses a method and system for realizing a car rental business. The method comprises the following steps: a user receives a car service through a website, a call center or a mobile terminal; a service system obtains the information of user orders and cars for datamation of information in a car service process; the service system pre-estimates the running time and running path according to the data of user orders; and the running time and running path are re-calculated by combining historical data of the system to obtain a dispatching scheme. The method and system for realizing the car rental business, disclosed by the invention, can realize the car rental business, and can reduce the unloaded rate of the cars and waste of resources simultaneously.

Description

Technical field [0001] The invention relates to a method and system for realizing car leasing business, and belongs to the field of vehicle management services. Background technique [0002] Generally, the problem solved by the optimization of the taxi and rental car scheduling system is how to refer to as many parameters as possible when each order arrives, and "optimally" dispatch a car to satisfy the service. Due to the limitation of traditional technology, the data foundation of this kind of dispatching system is weak, and it is mostly based on the subjective judgment of decision makers. The parameters of this kind of dispatching hypothesis are limited and do not take into account the uncontrollable occupants, drivers, road conditions, etc. Factors, in actual actions, will "pre-judge" the optimization method and adjust the behavior, further weakening the effect of the original optimization algorithm, so the vehicle's empty driving rate is high, resulting in a lot of waste of ...

AI Technical Summary

Problems solved by technology

Due to the limitation of traditional technology, the data foundation of this kind of dispatching system is weak, and it is mostly based on the subjective judgment of decision makers. Factors, will adjust the behavior by "predicting" the optimization method in actual actions, further weakening the effect of the original optimization algorithm, so the empty driving rate of the vehicle is high, causing a lot of waste of resources

[0003] In addition, the traditional vehicle dispatching process is usually that the user makes a call, the call center asks the user's location, the call center broadcasts the user's car information to the taxis operating around the user, the driver responds freely, and the call center replies to the user. Process, usually the user determines the itinerary (time of use, pick-up location, return location) and car model by making a phone call or surfing the Internet, and waits for the service party to confirm, pick up the car, use the car, return the car, and order the car according to the established itinerary The channel is single, the advance booking time is too long, and the driver service is not standardized and not punctual

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