Driver scheduling method and device and electronic equipment

A scheduling method and driver technology, applied in the field of intelligence, can solve problems such as reduced driver experience in receiving orders, difficulty in receiving new orders, etc.

Pending Publication Date: 2020-05-19
BEIJING DIDI INFINITY TECH & DEV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the continuous growth and evolution of the online car-hailing business, its business rules are becoming more and more perfect. In the existing order allocation mechanism, the order allocation distance cannot exceed the maximum threshold. It is difficult to receive new orders in fewer areas, resulting in a lower experience for drivers

Method used

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  • Driver scheduling method and device and electronic equipment
  • Driver scheduling method and device and electronic equipment
  • Driver scheduling method and device and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0119] Such as figure 1 As shown, it is a driver dispatching method provided in Embodiment 1 of the present application. The method is applied to the server of the taxi platform, and specifically includes the following steps:

[0120] In step S102, the area type of the area is determined according to the spatio-temporal environment characteristic information of the area corresponding to the driver's current location.

[0121] The aforementioned spatio-temporal environment features include: time features, environment features and historical order features. Time features include: day of the week, time and minutes, etc.; environmental features include: road conditions, weather conditions, etc.; historical order features include: the number of orders, The number of bubbles in the order interface, etc. There are many ways to determine the area type of the area corresponding to the driver's current location, for example: sorting through the historical order data of a certain area ...

Embodiment 2

[0152] In this embodiment, the cold area refers to the location with less demand, such as the suburbs or scenic spots on weekdays, which is an absolute cold area, while the hot area refers to the location with more demand, such as a lively street or commuting In the urban area during the peak period, although there are more orders in this area, when drivers gather together, it will also cause a shortage of orders. At this time, the hot area becomes a relatively cold area. When dispatching drivers in cold areas, if there is no good planning, and the above method is simply used to dispatch drivers from cold areas to the target hot areas, the following two situations are likely to occur: First, the number of drivers dispatched from cold areas is too large There are too many drivers in the cold area, which leads to insufficient capacity. The second is that there are too many drivers transferred to the hot area, which leads to a large number of drivers and insufficient orders.

[0...

Embodiment 3

[0171] see Figure 8 As shown, it is a driver dispatching device provided in Embodiment 5 of the present application. The device is applied to the server of the taxi platform. The device includes: an area division module 31, a hot zone set acquisition module 32, a target hot zone determination module 33 and Driver dispatch module 34 .

[0172]Among them, the area division module 31 is used to determine the area type of the area according to the spatio-temporal environment feature information of the area corresponding to the driver's current location, and the area type includes a cold area and a hot area; the spatio-temporal environment features include: time features, environmental features and historical order features The hot zone set acquisition module 32 is used to obtain the hot zone set corresponding to the driver's current position when the driver's current position is in the cold zone; the target hot zone determination module 33 is used to select the target hot zone fr...

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PUM

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Abstract

The invention provides a driver scheduling method and device and electronic equipment, and relates to the technical field of intelligence, and the method comprises the steps: determining the region type of a region according to the space-time environment feature information of the region corresponding to the current position of a driver, and the region type comprises a cold region and a hot region; wherein the space-time environment features comprise time features, environment features and historical order features; if the current position of the driver is in the cold area, obtaining a hot area set corresponding to the current position of the driver; selecting a target hot area from the hot area set; and scheduling the driver based on the target hot area. Through the above process, driversin the cold area can be dispatched quickly, reasonably and optimally, so that the drivers can arrive at the target hot area to receive orders as soon as possible, and the order receiving experience of the drivers is improved.

Description

technical field [0001] The present application relates to the field of intelligent technologies, and in particular to a driver scheduling method, device and electronic equipment. Background technique [0002] At present, in people's travel activities, online car-hailing services are becoming more and more common, and the driver's experience of receiving orders has become one of the main indicators that online car-hailing platforms pay attention to. With the continuous growth and evolution of the online car-hailing business, its business rules are becoming more and more perfect. In the existing order allocation mechanism, the order allocation distance cannot exceed the maximum threshold. It is difficult to receive new orders in fewer areas, resulting in a lower experience for drivers. Contents of the invention [0003] In view of this, the embodiment of the present application provides a driver scheduling method, device and electronic equipment, which can quickly, reasonab...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q30/02
CPCG06Q30/0607G06Q30/0639G06Q30/0202
Inventor 陆文韬樊志国魏文
Owner BEIJING DIDI INFINITY TECH & DEV
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