Method and device for estimating vehicle passenger state

Abstract

The invention provides a method for estimating a vehicle passenger state. The method comprises: acquiring a first historical order with minimum time difference between the release time and the current time of orders in historical order data of each terminal and an adjacent second historical order; estimating the end time of the first historical order of each terminal according to the feature information of the first historical order and the destination of the second historical order; acquiring a terminal movement locus of each terminal and a UE (User Equipment) movement locus of UE corresponding to the historical order within a preset time period; and determining the passenger state of a vehicle corresponding to each terminal according to the similarity of the terminal movement locus and the UE movement locus. The invention further provides a device for estimating a vehicle passenger state, comprising an order acquisition module, a time estimation module, a locus acquisition module and a first judgment module. According to the method and the device, the vehicle passenger state is accurately estimated according to the historical orders and the terminal and UE movement loci, so that the order close rate of a taxi-taking system is improved and the user taxi-taking experience is improved.

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 for 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 ...

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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