Abstract: The present disclosure is related to systems and methods for transport pricing. The method includes determining an actual service cost and a preset service cost of each of historical orders, and an actual order count corresponding to the preset service cost. The method also includes determining, based on the actual service cost of each of the historical orders, an actual total turnover. The method further includes determining a fitting function with the total turnover as a dependent variable, and a conversion rate and a price adjustment ratio as an independent variable.

Abstract: A method for identifying an incorrect order request is provided. The method may include receiving an order request from a user terminal of a passenger. The method may include determining a probability of incorrection for the order request by analyzing values of a plurality of features from the order request with a target identification model. The method may include identifying the order request as an incorrect order request or a correct order request based on the probability of incorrection of the order request. The method may further include communicating with the passenger through the user terminal in response to an identification that the order request is an incorrect order request.

Abstract: The present disclosure relates to systems and methods for determining a fee of a service request in an on-demand transportation service. The systems may perform the methods to receive a service request from a terminal; determine an estimated basic fee of the service request; generate an estimated adjusting rate of fee corresponding to the estimated conversion rate of transaction; generate an estimated conversion rate of transaction associated with the service request by a prediction model; obtain a function value of a target function, wherein the target function relates to the estimated basic fee, the estimated conversion rate of transaction, and the estimated adjusting rate of fee; and determine an optimized adjusting rate of fee by repeating one or more steps above and comparing the function values, wherein the optimized adjusting rate of fee maximizes the function value of the target function.

Abstract: Methods and systems are provided for preventing user churn. The method may include retrieving historical data associated with a first plurality of users. The method may also include, for each user of the first plurality of users, determining a first feature vector of the user based on the historical data associated with the user, and determining a churn probability of the user by inputting the first feature vector of the user into a prediction model. The method may further include, for each user of the first plurality of users, assigning, based on the determined churn probability of the user, the user to one of a plurality of predetermined groups, each of which is associated with a user retention strategy. The method may also include, for each user of the first plurality of users, determining a user retention operation for the user based on the user retention strategy associated with the predetermined group that the user is assigned to, and performing the user retention operation on the user.

Abstract: The present disclosure relates to systems and methods for identifying a risky driving behavior of a driver. The systems may obtain driving data from sensors associated with a vehicle driven by a driver determine, based on the driving data, a target time period; obtain, based on the driving data, target data within the target time period; and identify, based on the target data, a presence of a risky driving behavior of the driver.

Abstract: Methods for synthesis of thermoelectric materials are disclosed. In some embodiments, a method of fabricating a thermoelectric material includes generating a plurality of nanoparticles from a starting material comprising one or more chalcogens and one or more transition metals; and consolidating the nanoparticles under elevated pressure and temperature, wherein the nanoparticles are heated and cooled at a controlled rate.

Abstract: Metallic composite phase-change materials and methods of using are disclosed. In some embodiments, a thermal energy storage module is provide that included one or more phase change alloys having a variable phase transition temperature between about 400° C. and about 1200° C. and having a latent heat of more than about 200 kJ/kg.

Abstract: Methods for synthesis of thermoelectric materials are disclosed. In some embodiments, a method of fabricating a thermoelectric material includes generating a plurality of nanoparticles from a starting material comprising one or more chalcogens and one or more transition metals; and consolidating the nanoparticles under elevated pressure and temperature, wherein the nanoparticles are heated and cooled at a controlled rate.