3results about How to "Improve order rate" patented technology

This application provides a method, apparatus, and storage medium for ride-hailing order allocation based on driver preferences. The method includes: obtaining real-time orders using a ride-hailing platform interface; parsing the real-time orders to obtain the order start coordinates, order destination coordinates, and discount flags; retrieving online drivers within a set radius centered on the order start coordinates using a spatial index to generate a candidate driver set; reading the vehicle type information and order acceptance preferences of each driver in the candidate driver set; filtering the candidate driver set based on the order destination coordinates, discount flags, and order acceptance preferences using multiple conditions to obtain a target driver set that meets the order acceptance criteria; sorting the target driver set according to the real-time distance from the driver to the order start, selecting the driver with the shortest distance, and assigning the current real-time order to the selected driver. This application can improve the probability of drivers accepting orders and improve the accurate matching of discounted orders with driver preferences, thereby achieving real-time and efficient order dispatch.

This invention relates to the field of shared mobility scheduling and charging service management technology, and particularly to a dynamic charging decision-making system and method that links shared mobility and charging services. The system includes: collecting multi-source data on vehicle battery level, charging pile status, and regional demand; analyzing historical data using a particle swarm optimization algorithm to generate scenario-based emergency charging thresholds and preventative charging thresholds; and performing noise reduction and standardization processing on real-time data. This invention effectively breaks the rigid limitation of traditional fixed battery thresholds on charging timing by constructing a deep matching mechanism that links offline parameter optimization with real-time data. It achieves precise linkage between the battery status of shared vehicles, travel demand, and charging resources, as well as a global optimization closed loop for the scheduling system, solving the dual balance problem of ensuring battery availability and fulfilling orders during operation.

The application relates to a user vehicle repurchase willingness analysis method and device, equipment and a storage medium, wherein the method comprises the following steps: acquiring a vehicle repurchase willingness test data set, and extracting at least one effective feature from the test data set; inputting the at least one effective feature into a pre-trained cold start model to obtain a user repurchase vehicle probability and a logistic regression coefficient; and obtaining a willingness analysis result based on the user repurchase vehicle probability and a pre-trained hot start model. The application introduces a user response to operation access and an attention mechanism, so that the user repurchase willingness analysis result is more accurate, marketing side crowd selection is facilitated, operation cost is reduced, and a single rate is improved.