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Method, device and storage medium for predicting passenger cancellation behavior

A passenger and order technology, applied in the Internet field, can solve the problems of not considering the influence factors of passengers and the low success rate of online car-calling service, and achieve the effect of improving the success rate of online car-calling service

Active Publication Date: 2020-12-11
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, only the distance between the driver and the user is used to judge whether the driver meets the requirements of the delivery order, without considering the influencing factors of passengers, resulting in a low success rate of online car-hailing services

Method used

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  • Method, device and storage medium for predicting passenger cancellation behavior
  • Method, device and storage medium for predicting passenger cancellation behavior
  • Method, device and storage medium for predicting passenger cancellation behavior

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0027] figure 1 It is a flow chart of a method for estimating passenger cancellation order behavior provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of estimating passenger cancellation order behavior. The device for order behavior can be implemented by means of software and / or hardware, and the device can be integrated in the terminal device or in the application end of the terminal device. Wherein, the terminal device may be, but not limited to, a mobile terminal (tablet computer or smart phone), or a fixed terminal (desktop computer or notebook).

[0028] Wherein, the application side can be a plug-in of a certain client embedded in the terminal device, or a plug-in of the operating system of the terminal device, and a client or terminal embedded in the terminal device that estimates passenger cancellation behavior. The estimated passenger cancellation order behavior application program in the operating system of the device ...

Embodiment 2

[0042] figure 2It is a flow chart of a method for estimating a passenger's order cancellation behavior provided by Embodiment 2 of the present invention. This embodiment is optimized on the basis of the above embodiments. In this embodiment, the step is to determine whether the passenger will cancel the candidate driver according to the historical behavior information, the order information and the driver information. The order optimization is as follows: the historical behavior information, the order information and the driver information are input into the passenger cancellation order behavior recognizer for learning; according to the probability output by the passenger cancellation order behavior recognizer, it is determined that the passenger is whether the said driver candidate will cancel the said order.

[0043] Correspondingly, the method in this embodiment specifically includes:

[0044] S201. According to the account number of the passenger who submitted the order...

Embodiment 3

[0057] image 3 A structural diagram of a device for predicting passenger cancellation behavior provided by Embodiment 3 of the present invention. This embodiment can be applied to the situation of predicting passenger cancellation behavior. The device can be implemented in the form of software and / or hardware. The device can be integrated in the terminal equipment or in the application side of the terminal equipment. Wherein, the terminal device may be, but not limited to, a mobile terminal (tablet computer or smart phone), or a fixed terminal (desktop computer or notebook).

[0058] Wherein, the application side can be a plug-in of a certain client embedded in the terminal device, or a plug-in of the operating system of the terminal device, and a client or terminal embedded in the terminal device that estimates passenger cancellation behavior. The estimated passenger cancellation order behavior application program in the operating system of the device is used in conjunction...

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Abstract

Embodiments of the present invention disclose a method, equipment and storage medium for predicting passenger order cancellation behavior. The method of estimating the passenger's order cancellation behavior includes: obtaining the historical behavior information of the corresponding passenger based on the passenger account that submitted the order information for the online ride-hailing service, where the order information includes the starting point of the ride; obtaining the starting point of the ride Drivers within the preset area serve as candidate drivers; it is determined based on the historical behavior information whether the passenger will cancel the order for the candidate driver. The embodiment of the present invention determines whether the passenger will cancel the order for the candidate driver based on the passenger's historical behavior information. Since the historical behavior information of passengers is also taken into account when estimating whether passengers will cancel the order for a candidate driver, the success rate of online ride-hailing services can be improved.

Description

technical field [0001] The embodiment of the present invention relates to the field of Internet technologies, and in particular to a method, device and storage medium for predicting passenger cancellation behavior. Background technique [0002] With the high development of Internet technology and the popularization of smart devices, traditional transportation technology is gradually evolving into an intelligent transportation system. In the prior art, passengers often use online taxi-hailing service software (such as Didi, Uber, Shenzhou, Yidao, etc.) to hail taxis through smart terminals such as mobile phones, so that the interaction between people, cars, and roads can be improved in a new way. Compared with the traditional way of hailing a taxi, it achieves more accurate and efficient travel to a certain extent. [0003] In online car-hailing services (such as special car, ride-hailing car, express car, etc.), a large number of factors will cause passengers to cancel the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q30/06G06Q50/30
CPCG06Q10/04G06Q30/0635G06Q30/0639G06Q50/40
Inventor 王超曾浩浩
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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