Method and device for estimating vehicle passenger status

Abstract

The present invention provides a method for estimating the passenger status of a vehicle, which includes: obtaining the first historical order and the adjacent second historical order with the smallest time difference between the release time of the order and the current time in the historical order data of each terminal; According to the feature information of the first historical order and the destination of the second historical order, estimate the end time of the first historical order of each terminal; obtain the terminal movement track of each terminal within the preset time period and the UE corresponding to the historical order UE movement trajectory: according to the similarity between the terminal movement trajectory and the UE movement trajectory, determine the passenger loading state of each terminal corresponding to the vehicle. The present invention also provides a device for estimating the passenger status of a vehicle, including: an order acquisition module, a time estimation module, a track acquisition module and a first determination module. The present invention accurately predicts the passenger status of the vehicle according to the historical orders and the movement trajectories of the terminal and the UE, improves the order transaction rate of the taxi-hailing system, and improves the taxi-hailing experience of users.

Description

technical field [0001] The present invention relates to the technical field of computer processing, in particular to a method and device for estimating a vehicle's passenger loading state. Background technique [0002] In recent years, with the development of cities, the demand for taxis has become a common demand of people from all walks of life. With the development of smart devices and mobile Internet technology, the popularity of taxi-hailing software has brought great convenience to people's travel. The current taxi-hailing software has basically solved the problem of information asymmetry between taxi drivers and passengers. With the increasing number of drivers and passengers using taxi-hailing software, the turnover rate of taxi-hailing has become an important issue affecting passenger experience, and accurate turnover rate estimation is the key to optimizing this problem. [0003] Whether the current driver is carrying passengers is an important factor affecting t...

AI Technical Summary

Problems solved by technology

For taxis that have already loaded passengers, the driver does not need to broadcast the order (broadcast order) in most cases, because the driver cannot complete the order grabbing operation when the taxi is carrying passengers

However, in the actual environment, because taxi drivers are not only users of a certain taxi-hailing software, their passengers can also come from other ways, such as beckoning on the road, making phone reservations, and other taxi-hailing software. It can be seen that taxi drivers It is a completely autonomous group, and its passenger status cannot be fully known by the taxi system

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