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Designated-driving order predicting method and designated-driving transport capacity scheduling method

A forecasting method and order technology, applied in the field of chauffeur capacity scheduling and chauffeur order forecasting, can solve the problems of inadequate estimation and analysis, unreasonable allocation of chauffeur drivers, etc., and achieve the effect of increasing accuracy and accurate prediction.

Active Publication Date: 2016-03-02
SHENZHEN TIANHANGJIA TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0010] The main purpose of the present invention is to propose a method for predicting orders for surrogate drivers. Based on data mining technology, multi-dimensional analysis of historical orders is carried out to predict orders more accurately, so as to solve the problem of insufficient estimation and analysis of orders in the existing technology. The unreasonable technical problems caused by the allocation of substitute drivers

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  • Designated-driving order predicting method and designated-driving transport capacity scheduling method

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Embodiment Construction

[0051] The present invention will be further described below in combination with preferred embodiments.

[0052] The specific embodiment of the present invention provides a method for dispatching the capacity of a driver based on data mining technology, which is used in some specific places (such as airports, high-speed rail stations, ferries, docks, etc., but not limited thereto). Forecast the order volume of the time period, and give a reasonable driver scheduling plan based on the forecast results, so as to efficiently serve the car owners who need to find a driver, and at the same time make the utilization of the driver task probability) as high as possible.

[0053] The method for dispatching capacity of the substitute driver mainly includes two steps: forecasting the order of the substitute driver and dispatching the substitute driver. The following takes an airport as an example of the predetermined place to describe in detail how to forecast the substitute driver order...

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Abstract

The invention discloses a designated-driving order predicting method and a designated-driving transport capacity scheduling method which can be used for airports. The designated-driving order predicting method comprises the steps of: establishing a history order database of each airport; carrying out area clustering on the airports according to order change similarity; carrying out time interval clustering on a plurality of basic time intervals according to order numbers in the basic time intervals of each area type so as to form different order prediction basic time intervals of each area type; extracting a corresponding order number and change factors in each order prediction basic time interval of each area type, adopting a BP nerve network to carry out non-linear fitting, and enabling each order prediction basic time interval of each area type to obtain a different order prediction model; and when an order prediction request is received, according to the request area type and order prediction basic time interval, selecting the corresponding order prediction model, and by combined with the change factors, predicting an order number. By adopting the designated-driving transport capacity scheduling method, a reasonable driver distribution scheme is generated according to the order prediction result.

Description

technical field [0001] The invention relates to the technical field of intelligent equipment for substitute driving, in particular to a method for predicting orders for substitute driving and a method for dispatching capacity of substitute driving based on data mining technology. Background technique [0002] Nowadays, more and more people choose to travel by car to the airport by plane. However, when parking at the airport by car, they will encounter the following problems: [0003] 1. Waste of time: Compared with people who take subways, taxis and other means of transportation, it takes time for the parking process, especially when the airport has a large passenger flow and the parking lot is often saturated, resulting in unexpected delays in the parking process precious time, or even miss the plane. When returning from the return journey, the parking position of the vehicle may be forgotten, which will bring a lot of trouble to the self-driving car owner; [0004] 2. Ex...

Claims

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Application Information

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IPC IPC(8): G06Q10/02G06Q30/06G06Q50/30G06N3/02
CPCG06N3/02G06Q10/02G06Q30/0635G06Q50/40G06Q30/06
Inventor 张磊钟小武
Owner SHENZHEN TIANHANGJIA TECH CO LTD
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