WO2019158066A1

WO2019158066A1 - Systems and methods for information display

Info

Publication number: WO2019158066A1
Application number: PCT/CN2019/074923
Authority: WO
Inventors: Dongchen YANG; Ming CONG; Yitian FAN; Shuaibing Li; Jue Wang
Original assignee: Beijing Didi Infinity Technology And Development Co., Ltd.
Priority date: 2018-02-14
Filing date: 2019-02-13
Publication date: 2019-08-22
Also published as: CN110163394A

Abstract

Systems and methods for displaying information. The method includes receiving user's travel information from a terminal; obtaining a plurality of service types of an online to offline service provided by an online to offline service platform associated with the terminal; determining information associated with estimated cost of the plurality of service types based on the travel information; and causing the terminal to display an order interface associated with the online to offline service platform; wherein the order interface includes the information associated with estimated cost of the plurality of service types.

Description

SYSTEMS AND METHODS FOR INFORMATION DISPLAY

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to Chinese Patent Application No. 201810151902.3, filed on February 14, 2018, the entire contents of which are hereby incorporated by references.

TECHNICAL FIELD

The present disclosure generally relates to information display field, and in particular, to systems and methods for travel platform information display.

BACKGROUND

Online to offline services (e.g., taxi-hailing services) have become more and more popular with the development of Internet technology. Through an online service platform, a user can request an online to offline service by an application associated with the online service platform installed in his/her mobile device (e.g., a smart phone) . Taking the car-hailing service as an example, a passenger may input travel information including a departure information and destination information via a user interface of the application and launch a request for a taxi-hailing service. The online service platform may generate an order for the request and dispatch the order to a driver. Generally, a travel platform may be configured with multiple types of car-hailing services, such as a chauffeur service, an express service, a carpool service, etc. A user may choose a desired car-hailing service via the user interface according to his/her demands to launch a travel order. The travel platform may match a vehicle for providing the desired car-hailing service for the user. If the travel platform cannot match a vehicle for providing the desired car-hailing service for the user, the user needs to reselect other types of car-hailing services, which may waste user time, have a lower flexibility and poor user experience. In some occasions, the user may desire to obtain the requested service as soon as possible, so as to attend to some urgent or important matters (e.g., seeing a doctor or catching a flight) . Therefore, in some occasions, it is desirable to develop systems and methods for displaying current available types of online taxi-hailing services as to provide current available types of online taxi-hailing services to the user, save user’s time and improve user experience.

SUMMARY

According to one aspect of the present disclosure, a system for information display is provided. The system may include at least one storage medium storing a set of instructions for data estimation. The system may include at least one processor in communication with the at least one storage medium. When executing the stored set of instructions, the at least one processor may perform the following operations. The at least one processor may receive a user’s travel information from a terminal. The at least one processor may obtain a plurality of service types of an online to offline service provided by an online to offline service platform associated with the terminal. The at least one processor may determine information associated with estimated cost of the plurality of service types based on the travel information. The at least one processor may cause the terminal to display an order interface associated with the online to offline service platform, and the order interface may include the information associated with estimated cost of the plurality of service types.

In some embodiments, the at least one processor may be further configured to cause the system to receive a service request regarding the plurality of service types triggered by the user via the order interface.

In some embodiments, the information associated with estimated cost associated with the plurality of service types may include an estimated cost range associated with the plurality of service types, and to determine the information associated with estimated cost associated with the plurality of service types based on the travel information may include determining the estimated cost range of the plurality of service types based on the travel information.

In some embodiments, to determine the estimated cost range of the plurality of service types based on the travel information, the at least one processor may be further configured to cause the system to determine the estimated cost associated with each of the plurality of service types based on the travel information and an evaluation rule corresponding to each of the plurality of service types, and determine the estimated cost range of the plurality of service types based on the estimated cost associated with each of the plurality of service types.

In some embodiments, to determine the estimated cost range of the plurality of service types based on the estimated cost associated with each of the plurality of service types, the at least one processor may be further configured to cause the system to determine the estimated cost range of the plurality of service types based on a maximum and a minimum of the estimated cost associated with each of the plurality of service types.

In some embodiments, to determine estimated cost associated with each of the plurality of service types based on the travel information and a valuation rule corresponding to each of the plurality of service types, the at least one processor may be further configured to cause the system to determine a reference service type from the plurality of service types; determine a reference estimated cost associated with the reference service type based on the travel information, and determine at least one portion of the estimated cost associated with each of the plurality of service types based on the reference estimated cost associated with the reference service type.

In some embodiments, to determine the reference service type from the plurality of service types, the at least one processor may be further configured to cause the system to rank the plurality of service types according to a sorting rule; and designate one type that ranks first among the plurality of ranked service types as the reference service type.

In some embodiments, the at least one processor may be further configured to cause the system to cause the terminal to display at least one of an identifier or the estimated cost associated with each of the plurality of service types on the order interface.

In some embodiments, to determine the estimated cost range of the plurality of service types based on the travel information, the at least one processor may be further configured to cause the system to determine the estimated cost associated with each of a first portion of the plurality of service types based on the travel information, determine the estimated cost range of the plurality of service types based on the estimated cost associated with each of the first portion of the plurality of service types.

In some embodiments, the at least one processor may be further configured to cause the system to cause the terminal to display at least one of an identifier associated with each of the plurality of service types, the estimated cost associated with each of the first portion of the plurality of service types, or an estimation failure prompt corresponding to each of a second portion of the plurality of service types on the order interface. The estimation failure prompt may indicate that the estimated cost associated with each of the second portion of the plurality of service types is unavailable.

In some embodiments, the information associated with the estimated cost associated with the plurality of service types may include an estimation failure prompt indicating that estimated cost range associated with the current available types of online taxi-hailing services is unavailable based on the travel information.

According to another aspect of the present disclosure, a method for information display is provided. The method may include receiving a user’s travel information from a terminal and obtaining a plurality of service types of an online to offline service provided by an online to offline service platform associated with the terminal. The method may also include determining information associated with estimated cost of the plurality of service types based on the travel information. The method may further include causing the terminal to display an order interface associated with the online to offline service platform. The order interface may include the information associated with estimated cost of the plurality of service types.

According to still another aspect of the present disclosure, a non-transitory readable medium, comprising at least one set of instructions for data estimation, wherein when executed by at least one processor of an electrical device, the at least one set of instructions may direct the at least one processor to perform a method. A method may include receiving a user’s travel information from a terminal and obtaining a plurality of service types of an online to offline service provided by an online to offline service platform associated with the terminal. The method may also include determining information associated with estimated cost of the plurality of service types based on the travel information. The method may further include causing the terminal to display an order interface associated with the online to offline service platform. The order interface may include the information associated with estimated cost of the plurality of service types.

According to still another aspect of the present disclosure, a system for information display may be provided. The system may include a receiving module configured to receive a user’s travel information from a terminal, and an obtaining module configured to obtain a plurality of service types of an online to offline service provided by an online to offline service platform associated with the terminal. The system may also include a cost estimation module configured to determine, based on the travel information, information associated with estimated costs associated with the plurality of service types. The system may further include a display module configured to display an order interface associated with the online to offline service platform.

According to still another aspect of the present disclosure, a method for information display associated with a travel platform may be provided. The method may include receiving a user’s travel information. The method may also include in response to obtain estimated cost data associated with current available types of online taxi-hailing services based on the user’s travel information, displaying an order interface of online taxi-hailing, wherein the estimated cost data associated with current available types of online taxi-hailing services indicates an estimated cost range associated with N types of online taxi-hailing services, N being an integer greater than 1 and the order interface includes the estimated cost data associated with current available types of online taxi-hailing services.

In some embodiments, the obtaining estimated cost data associated with current available types of online taxi-hailing services based on the travel information may include obtaining, based on the travel information and a pre-determined valuation rule associated with each of the N types of online taxi-hailing services, estimated costs associated with M types of the N types of online taxi-hailing services; and determining, based on the estimated costs associated with the M types of online taxi-hailing services, the estimated cost data associated with current available types of online taxi-hailing services. M may be greater than or equal to 1 and smaller than or equal to N.

In some embodiments, M may be equal to N, and the determining, based on the estimated costs associated with the M types of online taxi-hailing service, the estimated cost data associated with current available types of online taxi-hailing services may include determining, based on a maximum and a minimum of the estimated costs associated with the M types of online taxi-hailing services, the estimated cost data associated with the current available types of online taxi-hailing services.

In some embodiments, M may be smaller than N, and the determining, based on the estimated costs associated with the M types of online taxi-hailing services, the estimated cost data associated with the current available types of online taxi-hailing services may further include determining a reference type of online taxi-hailing service from the M types of online taxi-hailing services; determining an estimated cost associated with each of one or more remaining types among the N types of online taxi-hailing services excluding the M types of online taxi-hailing services, based on an estimated cost associated with the reference type and a pre-determined ratio between the reference type of online taxi-hailing service and the each of the one or more remaining types of online taxi-hailing services.

In some embodiments, the determining a reference type from the M types of online taxi-hailing services may include designating, as the reference type of online taxi-hailing service, one type that ranks first among pre-ranked N types of online taxi-hailing services.

In some embodiments, the determining a reference type from the M types of online taxi-hailing services may include ranking the M types of online taxi-hailing services according to a pre-determined rule; and designating, as the reference type of online taxi-hailing service, one type that ranks first among the ranked M types of online taxi-hailing services.

In some embodiments, the determining a reference type from the M types of online taxi-hailing services may include designating a pre-determined type of online taxi-hailing service as the reference type of online taxi-hailing service.

In some embodiments, the order interface may further include an icon and an estimated cost associated with the estimated costs associated with each of the M types of online taxi-hailing services.

In some embodiments, the order interface may further include an icon and an estimation failure prompt associated with each of the one or more remaining types in the N types of online taxi-hailing services excluding the M types of online taxi-hailing services.

In some embodiments, the order interface may further include one or more icons and price prompt information corresponding to the estimated cost data associated with the current available types of online taxi-hailing services.

In some embodiments, the method may further includes in response to a determination that the estimated cost data associated with the current available types of online taxi-hailing services is unavailable based on the user’s travel information, displaying the order interface including estimation failure information associated with the current available types of online taxi-hailing services, wherein the estimation failure information indicates that the estimated cost range associated with the N types of the online taxi-hailing service is unavailable.

In some embodiments, the estimated cost data associated with the current available types of online taxi-hailing services being unavailable based on the travel information may include that the estimated cost data associated with any of the current available types of online taxi-hailing services is unavailable based on the travel information and the pre-determined valuation rule corresponding to each type of N types of online taxi-hailing services.

In some embodiments, the method may further include receiving a service request corresponding to the N types of online taxi-hailing services triggered by the user via the order interface.

In some embodiments, the travel information may include departure information and destination information.

According to still another aspect of the present disclosure, a device for information display associated with a travel platform may be provided. The device may include an obtaining module configured to receive a user’s travel information, and a cost estimation module configured to obtain estimated cost data associated with current available types of online taxi-hailing services based on the user’s travel information. The estimated cost data associated with current available types of online taxi-hailing services may indicate an estimated cost range associated with N types of online taxi-hailing services, N being an integer greater than 1. The device may also include a display module configured to display an order interface of online taxi-hailing. The order interface may include the estimated cost data associated with current available types of online taxi-hailing services.

In some embodiments, the cost estimation module may include a single service cost estimation module configured to obtain, based on the travel information and a pre-determined valuation rule associated with each of the N types of online taxi-hailing services, estimated costs associated with M types of the N types of online taxi-hailing services. M may be greater than or equal to 1 and smaller than or equal to N. The cost estimation module may also include a cost integration module configured to determine, based on the estimated costs associated with the M types of online taxi-hailing services, the estimated cost data associated with current available types of online taxi-hailing services.

In some embodiments, M may be equal to N, and the cost integration module may be further configured to determine, based on a maximum and a minimum of the estimated costs associated with the M types of online taxi-hailing services, the estimated cost data associated with the current available types of online taxi-hailing services.

In some embodiments, M may be smaller than N, and the cost integration module may be configured to determine a reference type of online taxi-hailing service from the M types of online taxi-hailing services, determine an estimated cost associated with each of one or more remaining types among the N types of online taxi-hailing services excluding the M types of online taxi-hailing services, based on an estimated cost associated with the reference type and a pre-determined ratio between the reference type of online taxi-hailing service and the each of the one or more remaining types of online taxi-hailing services, and determine, based on a maximum and a minimum of the estimated costs associated with the M types of online taxi-hailing services, the estimated cost data associated with the current available types of online taxi-hailing services.

In some embodiments, the cost integration module may be configured to designate, as the reference type of online taxi-hailing service, one type that ranks first among pre-ranked N types of online taxi-hailing services.

In some embodiments, the cost integration module may be configured to rank the M types of online taxi-hailing services according to a pre-determined rule, and designate, as the reference type of online taxi-hailing service, one type that ranks first among the ranked M types of online taxi-hailing services.

In some embodiments, the cost integration module may be configured to designate a pre-determined type of online taxi-hailing service as the reference type of online taxi-hailing service.

In some embodiments, the order interface may further includes an icon and an estimated cost associated with the estimated costs associated with each of the M types of online taxi-hailing services.

In some embodiments, the cost estimation module may be also configured to determine that the estimated cost data associated with the current available types of online taxi-hailing services is unavailable based on the user’s travel information. The display module may be also configured to display the order interface including estimation failure information associated with the current available types of online taxi-hailing services. The estimation failure information may indicate that the estimated cost range associated with the N types of the online taxi-hailing service is unavailable.

In some embodiments, the cost estimation module may include a single service cost estimation module configured to determine that the estimated cost data associated with any of the current available types of online taxi-hailing services is unavailable based on the travel information and the pre-determined valuation rule corresponding to each type of N types of online taxi-hailing services.

In some embodiments, the device may further include a receiving module the receiving module is configured to receiving a service request corresponding to the N types of online taxi-hailing services triggered by the user via the order interface.

According to still another aspect of the present disclosure, a terminal device for information display may be provided. The terminal device may include a storage device, a processor and a computer program. The computer program may be stored in the storage device. when executed by the processor, the computer program may cause the processor to perform a method described above.

According to still another aspect of the present disclosure, a computer readable medium may be provided. The computer readable medium may include at least one set of instructions. When executed by at least one processor, the at least one set of instructions may direct the at least one processor to perform a method described above.

Additional features will be set forth in part in the description which follows, and in part will become apparent to those skilled in the art upon examination of the following and the accompanying drawings or may be learned by production or operation of the examples. The features of the present disclosure may be realized and attained by practice or use of various aspects of the methodologies, instrumentalities and combinations set forth in the detailed examples discussed below.

BRIEF DESCRIPTION OF THE DRAWINGS

The present disclosure is further described in terms of exemplary embodiments. These exemplary embodiments are described in detail with reference to the drawings. These embodiments are non-limiting exemplary embodiments, in which like reference numerals represent similar structures throughout the several views of the drawings, and wherein:

FIG. 1 is a block diagram illustrating an exemplary online-to-offline service system according to some embodiments of the present disclosure;

FIG. 2 is a schematic diagram illustrating hardware and software components of an exemplary computing device according to some embodiments of the present disclosure;

FIG. 3 is a schematic diagram illustrating hardware and/or software components of an exemplary mobile device according to some embodiments of the present disclosure;

FIG. 4 is a block diagram illustrating an exemplary processing engine according to some embodiments of the present disclosure;

FIG. 5 is a flowchart illustrating an exemplary process for displaying an order interface of taxi-hailing according to some embodiments of the present disclosure;

FIG. 6 is a flowchart illustrating an exemplary process for displaying an order interface of taxi-hailing according to some embodiments of the present disclosure;

FIG. 7 is a flowchart illustrating another exemplary process for displaying an order interface associated with the online to offline service platform according to some embodiments of the present disclosure;

FIG. 8 is a schematic diagram illustrating an exemplary order interface according to some embodiments of the present disclosure;

FIG. 9 is a block diagram illustrating an exemplary estimated cost associated with online taxi-hailing services according to some embodiments of the present disclosure;

FIG. 10 is a schematic diagram illustrating an exemplary order interface according to some embodiments of the present disclosure;

FIG. 11 is a schematic diagram illustrating an exemplary order interface according to some embodiments of the present disclosure.

DETAILED DESCRIPTION

The following description is presented to enable any person skilled in the art to make and use the present disclosure and is provided in the context of a particular application and its requirements. Various modifications to the disclosed embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the present disclosure. Thus, the present disclosure is not limited to the embodiments shown but is to be accorded the widest scope consistent with the claims.

It will be understood that the term “system, ” “engine, ” “unit, ” “module, ” and/or “block” used herein are one method to distinguish different components, elements, parts, section or assembly of different level in ascending order. However, the terms may be displaced by another expression if they may achieve the same purpose.

The terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting. As used herein, the singular forms “a, ” “an, ” and “the” may be intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprise, ” “comprises, ” and/or “comprising, ” “include, ” “includes, ” and/or “including, ” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

These and other features, and characteristics of the present disclosure, as well as the methods of operation and functions of the related elements of structure and the combination of parts and economies of manufacture, may become more apparent upon consideration of the following description with reference to the accompanying drawings, all of which form a part of this disclosure. It is to be expressly understood, however, that the drawings are for the purpose of illustration and description only and are not intended to limit the scope of the present disclosure. It is understood that the drawings are not to scale.

The flowcharts used in the present disclosure illustrate operations that systems implement according to some embodiments of the present disclosure. It is to be expressly understood, the operations of the flowchart may be implemented not in order. Conversely, the operations may be implemented in inverted order, or simultaneously. Moreover, one or more other operations may be added to the flowcharts. One or more operations may be removed from the flowcharts.

The system or method of the present disclosure may be applied to online-to-offline systems of different environments including land, ocean, aerospace, or the like, or any combination thereof. The vehicle of the online-to-offline systems may include a taxi, a private car, a hitch, a bus, a train, a bullet train, a high-speed rail, a subway, a vessel, an aircraft, a spaceship, a hot-air balloon, a driverless vehicle, or the like, or any combination thereof.

The term “passenger, ” “requester, ” “service requester, ” and “customer” in the present disclosure are used interchangeably to refer to an individual, an entity or a tool that may request or order a service. The term “driver, ” “provider, ” “service provider, ” and “supplier” in the present disclosure are used interchangeably to refer to an individual, an entity or a tool that may provide a service or facilitate the providing of the service. The term “user” in the present disclosure may refer to an individual, an entity or a tool that may request a service, order a service, provide a service, or facilitate the providing of the service. For example, the user may be a passenger, a driver, an operator, or the like, or any combination thereof. In the present disclosure, “passenger, ” “user equipment, ” “user terminal, ” and “passenger terminal” may be used interchangeably, and “driver” and “driver terminal” may be used interchangeably.

The term “service request” and “order” in the present disclosure are used interchangeably to refer to a request that may be initiated by a passenger, a requester, a service requester, a customer, a driver, a provider, a service provider, a supplier, or the like, or any combination thereof. The service request may be accepted by any one of a passenger, a requester, a service requestor, a customer, a driver, a provider, a service provider, or a supplier. The service request may be chargeable or free.

An aspect of the present disclosure relates to systems and methods for information display. The system may receive a user’s travel information from a terminal. The system may obtain a plurality of service types of an online to offline service provided by an online to offline service platform associated with the terminal. Based on the travel information, the system may determine information associated with estimated cost associated with the plurality of service types, and cause the terminal to display an order interface associated with the online to offline service platform, the order interface including the information associated with estimated cost associated with the plurality of service types. The systems and the methods may display current available types of online taxi-hailing services as to provide current available types of online taxi-hailing services to the user, which may save the user’s time and improve user experience.

FIG. 1 is a block diagram illustrating an exemplary online-to-offline service system 100 according to some embodiments of the present disclosure. For example, the online-to-offline service system 100 may be an online transportation service platform for transportation services. The online-to-offline service system 100 may include a server 110, a network 120, a service requestor terminal 130, a service provider terminal 140, a vehicle 150, a storage device 160, and a navigation system 170.

The online-to-offline service system 100 may provide a plurality of services. Exemplary services may include a taxi-hailing service, a chauffeur service, an express service, a carpool service, a bus service, a driver hire service, and a shuttle service. In some embodiments, the online-to-offline service may be an online service, such as booking a meal, shopping, booking a bus, booking a train, booking a flight, booking a table at a restaurant, booking a room at a hotel, booking a register at a hospital, booking a ticket (e.g., a movie ticket, a concert ticket) , or the like, or any combination thereof.

In some embodiments, the server 110 may be a single server or a server group. The server group may be centralized, or distributed (e.g., the server 110 may be a distributed system) . In some embodiments, the server 110 may be local or remote. For example, the server 110 may access information and/or data stored in the service requestor terminal 130, the service provider terminal 140, and/or the storage device 160 via the network 120. As another example, the server 110 may be directly connected to the service requestor terminal 130, the service provider terminal 140, and/or the storage device 160 to access stored information and/or data. In some embodiments, the server 110 may be implemented on a cloud platform. Merely by way of example, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an inter-cloud, a multi-cloud, or the like, or any combination thereof. In some embodiments, the server 110 may be implemented on a computing device 200 having one or more components illustrated in FIG. 2 in the present disclosure.

In some embodiments, the server 110 may include a processing engine 112. The processing engine 112 may process information and/or data related to the service request to perform one or more functions described in the present disclosure. For example, the processing engine 112 may obtain estimated cost data associated with current available types of online taxi-hailing services based on travel information associated with the service request. As another example, the processing engine 112 may receive a user’s travel information from a terminal (e.g., the server requester terminal 130) and one or more service types of the online to offline service provided by an online to offline service platform. The processing engine 112 may determine information associated with estimated cost associated with the one or more service types based on the travel information. As still another example, the processing engine 112 may cause the terminal to display an order interface associated with the online to offline service platform. The order interface may include the information associated with estimated cost associated with the one or more service types. In some embodiments, the processing engine 112 may include one or more processing engines (e.g., single-core processing engine (s) or multi-core processor (s) ) . Merely by way of example, the processing engine 112 may include a central processing unit (CPU) , an application-specific integrated circuit (ASIC) , an application-specific instruction-set processor (ASIP) , a graphics processing unit (GPU) , a physics processing unit (PPU) , a digital signal processor (DSP) , a field programmable gate array (FPGA) , a programmable logic device (PLD) , a controller, a microcontroller unit, a reduced instruction-set computer (RISC) , a microprocessor, or the like, or any combination thereof.

The network 120 may facilitate exchange of information and/or data. In some embodiments, one or more components in the online-to-offline service system 100 (e.g., the server 110, the service requestor terminal 130, the service provider terminal 140, the vehicle 150, the storage device 160, and the navigation system 170) may send information and/or data to other component (s) in the online-to-offline service system 100 via the network 120. For example, the server 110 may receive a service request from the service requestor terminal 130 via the network 120. In some embodiments, the network 120 may be any type of wired or wireless network, or combination thereof. Merely by way of example, the network 120 may include a cable network, a wireline network, an optical fiber network, a tele communications network, an intranet, an Internet, a local area network (LAN) , a wide area network (WAN) , a wireless local area network (WLAN) , a metropolitan area network (MAN) , a wide area network (WAN) , a public telephone switched network (PSTN) , a Bluetooth network, a ZigBee network, a near field communication (NFC) network, or the like, or any combination thereof. In some embodiments, the network 120 may include one or more network access points. For example, the network 120 may include wired or wireless network access points such as base stations and/or internet exchange points 120-1, 120-2, …, through which one or more components of the online-to-offline service system 100 may be connected to the network 120 to exchange data and/or information.

In some embodiments, a passenger may be an owner of the service requestor terminal 130. In some embodiments, the owner of the service requestor terminal 130 may be someone other than the passenger. For example, an owner A of the service requestor terminal 130 may use the service requestor terminal 130 to send a service request for a passenger B or receive a service confirmation and/or information or instructions from the server 110. In some embodiments, a service provider may be a user of the service provider terminal 140. In some embodiments, the user of the service provider terminal 140 may be someone other than the service provider. For example, a user C of the service provider terminal 140 may use the service provider terminal 140 to receive a service request for a service provider D, and/or information or instructions from the server 110. In some embodiments, "passenger" and "passenger terminal" may be used interchangeably, and "service provider" and "service provider terminal" may be used interchangeably. In some embodiments, the service provider terminal may be associated with one or more service providers (e.g., a night-shift service provider, or a day-shift service provider) .

In some embodiments, the service requestor terminal 130 may include a mobile device 130-1, a tablet computer 130-2, a laptop computer 130-3, a built-in device in a vehicle 130-4, or the like, or any combination thereof. In some embodiments, the mobile device 130-1 may include a smart home device, a wearable device, a smart mobile device, a virtual reality device, an augmented reality device, or the like, or any combination thereof. In some embodiments, the smart home device may include a smart lighting device, a control device of an intelligent electrical apparatus, a smart monitoring device, a smart television, a smart video camera, an interphone, or the like, or any combination thereof. In some embodiments, the wearable device may include a smart bracelet, a smart footgear, a smart glass, a smart helmet, a smart watch, smart clothing, a smart backpack, a smart accessory, or the like, or any combination thereof. In some embodiments, the smart mobile device may include a smartphone, a personal digital assistant (PDA) , a gaming device, a navigation device, a point of sale (POS) device, or the like, or any combination thereof. In some embodiments, the virtual reality device and/or the augmented reality device may include a virtual reality helmet, a virtual reality glass, a virtual reality patch, an augmented reality helmet, an augmented reality glass, an augmented reality patch, or the like, or any combination thereof. For example, the virtual reality device and/or the augmented reality device may include a Google ^TM Glass, an Oculus Rift ^TM, a HoloLens ^TM, a Gear VR ^TM, etc. In some embodiments, the built-in device in the vehicle 130-4 may include an onboard computer, an onboard television, etc. In some embodiments, the service requestor terminal 130 may be a device with positioning technology for locating the position of the passenger and/or the service requestor terminal 130.

The service provider terminal 140 may include a plurality of service provider terminals 140-1, 140-2, …, 140-n. In some embodiments, the service provider terminal 140 may be similar to, or the same device as the service requestor terminal 130. In some embodiments, the service provider terminal 140 may be customized to be able to implement the online-to-offline service. In some embodiments, the service provider terminal 140 may be a device with positioning technology for locating the service provider, the service provider terminal 140, and/or a vehicle 150 associated with the service provider terminal 140. In some embodiments, the service requestor terminal 130 and/or the service provider terminal 140 may communicate with another positioning device to determine the position of the passenger, the service requestor terminal 130, the service provider, and/or the service provider terminal 140. In some embodiments, the service requestor terminal 130 and/or the service provider terminal 140 may periodically send the positioning information to the server 110. In some embodiments, the service provider terminal 140 may also periodically send the availability status to the server 110. The availability status may indicate whether a vehicle 150 associated with the service provider terminal 140 is available to carry a passenger. For example, the service requestor terminal 130 and/or the service provider terminal 140 may send the positioning information and the availability status to the server 110 every thirty minutes. As another example, the service requestor terminal 130 and/or the service provider terminal 140 may send the positioning information and the availability status to the server 110 each time the user logs into the mobile application associated with the online-to-offline service.

In some embodiments, the service provider terminal 140 may correspond to one or more vehicles 150. The vehicles 150 may carry the passenger and travel to the destination. The vehicles 150 may include a plurality of vehicles 150-1, 150-2, …, 150-n. One vehicle may correspond to one type of services (e.g., a taxi-hailing service, a chauffeur service, an express service, a carpool service, a bus service, a driver hire service and a shuttle service) .

The storage device 160 may store data and/or instructions. In some embodiments, the storage device 160 may store data obtained from the service requestor terminal 130 and/or the service provider terminal 140. For example, the data may include travel information of a user obtained from the service requestor terminal 130. As another example, the data may include the service types of online to offline services, information associated with estimated cost associated with the plurality of service types, an evaluation rule to determine an estimated cost associated with an online taxi-hailing services, etc. In some embodiments, the storage device 160 may store data and/or instructions that the server 110 may execute or use to perform exemplary methods described in the present disclosure.

In some embodiments, the storage device 160 may include a mass storage, removable storage, a volatile read-and-write memory, a read-only memory (ROM) , or the like, or any combination thereof. Exemplary mass storage may include a magnetic disk, an optical disk, a solid-state drive, etc. Exemplary removable storage may include a flash drive, a floppy disk, an optical disk, a memory card, a zip disk, a magnetic tape, etc. Exemplary volatile read-and-write memory may include a random access memory (RAM) . Exemplary RAM may include a dynamic RAM (DRAM) , a double date rate synchronous dynamic RAM (DDR SDRAM) , a static RAM (SRAM) , a thyristor RAM (T-RAM) , and a zero-capacitor RAM (Z-RAM) , etc. Exemplary ROM may include a mask ROM (MROM) , a programmable ROM (PROM) , an erasable programmable ROM (PEROM) , an electrically erasable programmable ROM (EEPROM) , a compact disk ROM (CD-ROM) , and a digital versatile disk ROM, etc. In some embodiments, the storage device 160 may be implemented on a cloud platform. Merely by way of example, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an inter-cloud, a multi-cloud, or the like, or any combination thereof.

In some embodiments, the storage device 160 may be connected to the network 120 to communicate with one or more components in the online-to-offline service system 100 (e.g., the server 110, the service requestor terminal 130, the service provider terminal 140, etc. ) . One or more components in the online-to-offline service system 100 may access the data or instructions stored in the storage device 160 via the network 120. In some embodiments, the storage device 160 may be directly connected to or communicate with one or more components in the online-to-offline service system 100 (e.g., the server 110, the service requestor terminal 130, the service provider terminal 140, etc. ) . In some embodiments, the storage device 160 may be part of the server 110.

The navigation system 170 may determine information associated with an object, for example, one or more of the service requestor terminal 130, the service provider terminal 140, the vehicle 150, etc. In some embodiments, the navigation system 170 may be a global positioning system (GPS) , a global navigation satellite system (GLONASS) , a compass navigation system (COMPASS) , a BeiDou navigation satellite system, a Galileo positioning system, a quasi-zenith satellite system (QZSS) , etc. The information may include a location, an elevation, a velocity, or an acceleration of the object, or a current time. The navigation system 170 may include one or more satellites, for example, a satellite 170-1, a satellite 170-2, and a satellite 170-3. The satellites 170-1 through 170-3 may determine the information mentioned above independently or jointly. The satellite navigation system 170 may send the information mentioned above to the network 120, the service requestor terminal 130, the service provider terminal 140, or the vehicle 150 via wireless connections.

In some embodiments, one or more components in the online-to-offline service system 100 (e.g., the server 110, the service requestor terminal 130, the service provider terminal 140, etc. ) may have permissions to access the storage device 160. In some embodiments, one or more components in the online-to-offline service system 100 may read and/or modify information related to the passenger, service provider, and/or the public when one or more conditions are met. For example, the server 110 may read and/or modify one or more passengers’ information after a service is completed. As another example, the server 110 may read and/or modify one or more service providers’ information after a service is completed.

In some embodiments, information exchanging of one or more components in the online-to-offline service system 100 may be initiated by way of requesting a service. The object of the service request may be any product. In some embodiments, the product may include food, medicine, commodity, chemical product, electrical appliance, clothing, car, housing, luxury, or the like, or any combination thereof. In some other embodiments, the product may include a servicing product, a financial product, a knowledge product, an internet product, or the like, or any combination thereof. The internet product may include an individual host product, a web product, a mobile internet product, a commercial host product, an embedded product, or the like, or any combination thereof. The mobile internet product may be used in software of a mobile terminal, a program, a system, or the like, or any combination thereof. The mobile terminal may include a tablet computer, a laptop computer, a mobile phone, a personal digital assistant (PDA) , a smart watch, a point of sale (POS) device, an onboard computer, an onboard television, a wearable device, or the like, or any combination thereof. For example, the product may be any software and/or application used in the computer or mobile phone. The software and/or application may relate to socializing, shopping, transporting, entertainment, learning, investment, or the like, or any combination thereof. In some embodiments, the software and/or application related to transportation may include a traveling software and/or application, a vehicle scheduling software and/or application, a mapping software and/or application, etc. In the vehicle scheduling software and/or application, the vehicle may include a horse, a carriage, a rickshaw (e.g., a wheelbarrow, a bike, a tricycle, etc. ) , a car (e.g., a taxi, a bus, a private car, etc. ) , a train, a subway, a vessel, an aircraft (e.g., an airplane, a helicopter, a space shuttle, a rocket, a hot-air balloon, etc. ) , or the like, or any combination thereof.

FIG. 2 is a schematic diagram illustrating exemplary hardware and software components of a computing device 200 on which the server 110, the service requester terminal 130, and/or the service provider terminal 140 may be implemented according to some embodiments of the present disclosure. For example, the processing engine 112 may be implemented on the computing device 200 and configured to perform functions of the processing engine 112 disclosed in this disclosure.

The computing device 200 may be a special purpose computer in some embodiments. The computing device 200 may be used to implement an online-to-offline service system for the present disclosure. The computing device 200 may implement any component of the online-to-offline service as described herein. In FIGs. 1-2, only one such computer device is shown purely for convenience purposes. One of ordinary skill in the art would understand that the computer functions relating to the online-to-offline service as described herein may be implemented in a distributed fashion on a number of similar platforms, to distribute the processing load.

The computing device 200, for example, may include COMM ports 250 connected to and from a network (e.g., the network 120) connected thereto to facilitate data communications. The computing device 200 may also include a central processing unit (CPU) 220, in the form of one or more processors, for executing program instructions. The exemplary computer platform may include an internal communication bus 210, program storage and data storage of different forms, for example, a disk 270, and a read only memory (ROM) 230, or a random access memory (RAM) 240, for various data files to be processed and/or transmitted by the computer. The exemplary computer platform may also include program instructions stored in the ROM 230, the RAM 240, and/or other type of non-transitory storage medium to be executed by the CPU 220. The methods and/or processes of the present disclosure may be implemented as the program instructions. The computing device 200 also includes an I/O 260, supporting input/output between the computer and other components therein. The computing device 200 may also receive programming and data via network communications.

Merely for illustration, only one CPU and/or processor is described in the computing device 200. However, it should be noted that the computing device 200 in the present disclosure may also include multiple CPUs and/or processors, thus operations and/or method steps that are performed by one CPU and/or processor as described in the present disclosure may also be jointly or separately performed by the multiple CPUs and/or processors. For example, the CPU and/or processor of the computing device 200 executes both step A and step B. As in another example, step A and step B may also be performed by two different CPUs and/or processors jointly or separately in the computing device 200 (e.g., the first processor executes step A, and the second processor executes step B; or the first and second processors jointly execute steps A and B) .

FIG. 3 is a schematic diagram illustrating exemplary hardware and/or software components of an exemplary mobile device 300 on which a user terminal (e.g., the service requestor terminal 130, the service provider terminal 140) may be implemented according to some embodiments of the present disclosure. As illustrated in FIG. 3, the mobile device 300 may include a communication platform 310, a display 320, a graphics processing unit (GPU) 330, a central processing unit (CPU) 340, an I/O 350, a memory 360, and a storage 390. In some embodiments, any other suitable component, including but not limited to a system bus or a controller (not shown) , may also be included in the mobile device 300. In some embodiments, a mobile operating system 370 (e.g., iOS ^TM, Android ^TM, Windows Phone ^TM, etc. ) and one or more applications 380 may be loaded into the memory 360 from the storage 390 in order to be executed by the CPU 340. The applications 380 may include a browser or any other suitable mobile apps for receiving and rendering information relating to online-to-offline service or other information from the processing engine 112. User interactions with the information stream may be achieved via the I/O 350 and provided to the processing engine 112 and/or other components of the online-to-offline service system 100 via the network 120. In some embodiments, the mobile device 300 may transmit (or receive) a connection request to the server 110 via a network 120 and establish a connection with the server 110 after the connection request is accepted by the server 110 (or the mobile device 300) . After the connection between the server 110 and the mobile device 300 is established, the server 110 may communicate with the application (s) 380 installed on the mobile device 300 to transmit or receive information or data (e.g., service request, information of service provider or service requester, position information, etc. ) . In some embodiments, the application (s) 380 may be an online to offline service application (e.g., a taxi-hailing app, a map app, a shopping app, etc. ) .

FIG. 4 is a block diagram illustrating an exemplary processing engine 112 according to some embodiments of the present disclosure. The processing engine 112 may include an obtaining module 410, a cost estimation module 420, a displaying module 430, and a receiving module 440. Each of the modules described above may be a hardware circuit that is designed to perform certain actions, e.g., according to a set of instructions stored in one or more storage media, and/or any combination of the hardware circuit and the one or more storage media.

In some embodiments, the obtaining module 410 may be configured to obtain a plurality of service types of an online to offline service provided by an online to offline service platform associated with the terminal 130. As used herein, the online to offline service may include an online taxi-hailing service, booking a meal service, a shopping service, booking a bus service, booking a train service, booking a flight service, booking a table service, booking a room service, booking a register at a hospital, booking a ticket service, or the like, or any combination thereof. The online to offline service platform may include a taxi-hailing platform, a shopping platform, a book ticket platform, a register platform, or the like.

The cost estimation module 420 may be configured to determine information associated with estimated cost of the plurality of service types based on the travel information. The cost estimation module 420 may include a single service cost estimation module 421 and a cost integration module 422. The single service cost estimation module 421 may be configured to estimate cost associated with plurality of service types. For example, the single service cost estimation module 421 may determine an estimated cost of each of the plurality types of online taxi-hailing service. As another example, the single service cost estimation module 421 may determine an estimated cost associated with a specific service type of online to offline service based on the travel information and/or a valuation rule corresponding to the specific service type of online to offline service. In some embodiments, the cost integration module 422 may be configured to estimate estimated cost data associated with current available types of online taxi-hailing services based on the estimated cost associated with the plurality of online to offline services.

The display module 430 may be configured to display information associated with the online to offline service. In some embodiments, the displaying module 430 may display an order interface of online to offline service. For example, the displaying module 430 may display an order interface of online taxi-hailing in response to obtain estimated cost data associated with current available types of online taxi-hailing services based on the travel information. As another example, the displaying module 430 may display an order interface including estimation failure information associated with the current available types of online taxi-hailing services. As a further example, the displaying module 430 may display an order interface associated with the online to offline service platform, and the order interface may include the information associated with an estimated cost of the plurality of service types. As still a further example, the displaying module 430 may display at least one of an identifier associated with each of the plurality of service types, the estimated cost associated with each of the first portion of the plurality of service types, or an estimation failure prompt corresponding to each of a second portion of the plurality of service types on the order interface.

In some embodiments, the receiving module 404 may be configured to receive a user’s travel information. In some embodiments, the user’s travel information may indicate a travel route of the user. In some embodiments, the user’s travel information may include departure place information, destination information, a departure time, the number of passengers, types of passengers, requirements of the user, or the like, or any combination thereof. In some embodiments, the user’s travel information may be obtained from the terminal 130 via the network 120. For example, the travel information may be inputted by the user on an operation interface of an application installed in a terminal device. In some embodiments, the receiving module 404 may receive a service request regarding the plurality of service types triggered by the user via the order interface.

It should be noted that the above descriptions of the processing engine 112 is provided for the purposes of illustration, and not intended to limit the scope of the present disclosure. For a person having ordinary skill in the art, various modifications and changes in the forms and details of the application of the above method and system may occur without departing from the principles of the present disclosure. However, those variations and modifications also fall within the scope of the present disclosure. In some embodiments, the processing engine 112 may include one or more other modules. For example, the processing engine 112 may include a storage module to store data generated by the modules in the processing engine 112. In some embodiments, any two of the modules may be combined as a single module, and any one of the modules may be divided into two or more units.

FIG. 5 is a flowchart illustrating an exemplary process 500 for information display associated with a traval paltform according to some embodiments of the present disclosure. The process for information display associated with the traval paltform in following embodiments may be performed by a display device associated with the travel platform. The display device may be configured in a terminal device (e.g., a service requester terminal 130, a service provider terminal 140) . In some embodiments, process 500 may be implemented as a set of instructions (e.g., an application) stored in the storage device 160, the ROM 230, the RAM 240, or storage 390. The GPU 330, the CPU 340, the processing engine 112 and/or the modules in FIG. 4 may execute the set of instructions, and when executing the instructions, the GPU 330, the CPU 340, the processing engine 112 and/or the modules in FIG. 4 may be configured to perform process 500. The operations of the illustrated process present below are intended to be illustrative. In some embodiments, process 500 may be accomplished with one or more additional operations not described and/or without one or more of the operations herein discussed. Additionally, the order in which the operations of the process as illustrated in FIG. 5 and described below is not intended to be limiting.

In 510, the processing engine 112 may obtain a user’s travel information. In some embodiments, the user’s travel information may indicate a travel trip of the user. Alternatively, the user’s travel information may include departure place information, destination information, etc. Alternatively, the user’s travel information may include at least one of a departure time, the number of passengers associated with the travel trip, etc.

In some embodiments, the user’s travel information may be inputted by the user via an operation interface of a travel application (or a travel platform) . In some embodiments, the processing engine 112 may obtain current location information of the user via a positioning device on a terminal device (e.g., the service requester terminal 130) . The processing engine 112 may determine the current location information as the departure place information. The processing engine 112 may obtain the destination information inputted by the user via the operation interface of the travel application (or a travel platform) , such as an online taxi-hailing service platform.

In 520, the processing engine 112 may display an order interface of online taxi-hailing service in response to obtain estimated cost data associated with current available types of online taxi-hailing services based on the user’s travel information.

The estimated cost data associated with current available types of online taxi-hailing services may indicate an estimated cost range of N types of online taxi-hailing services. N may be an integer greater than 1. The order interface of online taxi-hailing service may display the estimated cost data associated with the current available types of online taxi-hailing services.

The processing engine 112 may estimate costs for each of the current available types of online taxi-hailing services and display the order interface of online taxi-hailing in response to obtain the user’s travel information. The estimated cost data may be determined based on the user’s travel information. The estimated cost data associated with current available types of online taxi-hailing services may be not for a specific type of online taxi-hailing service, but for the current available types of online taxi-hailing services. The current available types of online taxi-hailing services may include N types of online taxi-hailing services. As shown in FIG. 4, the order interface of online taxi-hailing service may display the estimated cost data associated with current available types of online taxi-hailing services, approximately 18.2～32.6 CNY. N may be 3 including an express, a carpool, and a select service.

The estimated cost data associated with current available types of online taxi-hailing services may be obtained and displayed on the order interface of online taxi-hailing, which may improve diversity of information display for a travel platform and extend application scenarios. Therefore, the user may simultaneously request multiple types of online taxi-hailing services based on the estimated cost data associated with current available types of online taxi-hailing services. Compared with requesting one single type of online taxi-hailing service, process 500 may improve flexibility of requesting online taxi-hailing services and user’s experience.

It should be noted that, the value of N and types of online taxi-hailing services may be not limited. In some embodiments, the types of online taxi-hailing services may be related to the travel application. The type of online taxi-hailing services may include but not limited to an express service, a taxi service, a select service, a special car service, a carpool service, a minibus service, an official car service, a business car service, a luxury car service, etc.

In some embodiments, N may be a preset value, and the N types of online taxi-hailing services may be preset types. For example, the N types of online taxi-hailing services may include an express service, a taxi service, and a select service. As another example, the N types of online taxi-hailing services may include an express service, a taxi service, a select service, and a carpool service. The preset N and the preset N types of online taxi-hailing services may decrease a complexity of requesting online taxi-hailing services which may be implemented easily.

In some embodiments, the value of N and the N types of online taxi-hailing services may be determined based on history data and/or information of the user. For example, the processing engine 112 may rank the count (or number) of orders associated with each of a plurality of online taxi-hailing services requested by the user successfully from large to small. The processing engine 112 may determine top N types of online taxi-hailing services from the ranked plurality of online taxi-hailing services as the N types of online taxi-hailing services. The determination of the N types of online taxi-hailing services may consider the user’s preference, which may improve flexibility for requesting online taxi-hailing service and user’s experience.

In some embodiments, the processing engine 112 may determine the N types of online taxi-hailing services based on the count (or number) of vehicles within a preset distance from the departure place for providing each type of online taxi-hailing services. For example, the processing engine 112 may rank the count of vehicles within the preset distance from the departure place of the user for providing each type of online taxi-hailing services. The processing engine 112 may determine top N types of online taxi-hailing services from the ranked plurality of online taxi-hailing services as the N types of online taxi-hailing services. The determination of the N types of online taxi-hailing services may consider a situation of vehicles at the departure place of the user, which may improve rationality and success rate of requesting online taxi-hailing services and user’s experience.

In some embodiments, the order interface of online taxi-hailing service may include an icon and cost (or price) prompt information corresponding to the estimated cost data associated with current available types of online taxi-hailing services.

The cost prompt information may be used to indicate the estimated cost data associated with current available types of online taxi-hailing services for the user. As shown in FIG. 8, the order interface of online taxi-hailing service may include the iron 825 and the cost (or price) prompt information 824 corresponding to the estimated cost data associated with current available types of online taxi-hailing services. The cost (or price) prompt information 824 may be “Price by service types” , that may prompt possible prices for the user requesting online taxi-hailing services. The actual prices the user pays may be determined based on the specific type of online taxi-hailing service requested by the user.

In some embodiments, process 500 may also include obtaining a travel order request for the N types of online taxi-hailing services triggered by the user via the order interface. Specifically, the user may trigger the travel order request for the N types of online taxi-hailing services via the order interface of online taxi-hailing service, and simultaneously request multiple types of online taxi-hailing services. A server (e.g., the processing engine 112) associated with the travel platform may match an online taxi-hailing service from the multiple online taxi-hailing services for the user, which may save responding time and improve user’s experience. As shown in FIG. 8, the user may click the iron 825, which means that the user needs to request multiple types of online taxi-hailing services. The user may click a button 826 “Request Express + Select + Carpool. ” The server (e.g., the processing engine 112) may receive the travel order request for the N types of online taxi-hailing services triggered by the user via the order interface.

In some embodiments, to obtain the estimated cost data (e.g., estimated cost range) associated with current available types of online taxi-hailing services, the processing engine 112 may obtain estimated costs associated with M types of the N types of online taxi-hailing services based on the travel information and a pre-determined valuation rule associated with each of the N types of online taxi-hailing services. M may be greater than or equal to 1 and smaller than or equal to N. Then the estimated cost data associated with current available types of online taxi-hailing services may be determined based on the estimated costs associated with the M types of online taxi-hailing services.

Specifically, the valuation rule may be predetermined for each type of online taxi-hailing services. The valuation rule may be not limited in the present disclosure. In some embodiments, the valuation rule may be selected from an existing valuation rule of the online taxi-hailing service, or may be redefined. For different travel applications, the types of online taxi-hailing services may be different and the valuation rule for each of the types of online taxi-hailing services may be different. In some embodiments, for the N types of online taxi-hailing services, the estimated costs associated with one or more online taxi-hailing services may be available or unavailable based on the travel information and the pre-determined valuation rules for the one or more online taxi-hailing services. For example, if the pre-determined valuation rule for a taxi service is that the cost for the taxi service may be determined based on a taximeter associated with a vehicle, the estimated cost associated with the taxi service may be unavailable due to different road conditions. As another example, if estimated costs of two types of online taxi-hailing services meet a certain relationship, the estimated cost associated with one of the two types of online taxi-hailing service is available, the estimated cost associated with another one of the two types of online taxi-hailing services may be obtained. Thus, it may be only need to obtain the estimated cost associated with any one of the two types of online taxi-hailing services. The estimated costs of the M types of online taxi-hailing services may be obtained based on the travel information and the pre-determined valuation rule associated with each of the N types of online taxi-hailing services. Furthermore, the estimated cost associated with the current available types of online taxi-hailing services may be obtained based on the estimated costs associated with the M types of online taxi-hailing services.

For example, N may 3 and the current available types of online taxi-hailing services may include an express service, a taxi service, and a select service. An estimated cost for the express service may be determined based on a pre-determined valuation rule corresponding to the express service and the user’s travel information. An estimated cost for the select service may be determined based on a pre-determined valuation rule corresponding to the select service and the user’s travel information. An estimated cost for the taxi service may be unavailable based on a pre-determined valuation rule corresponding to the taxi service and the user’s travel information. The estimated cost data associated with the current available types of online taxi-hailing services may be determined based on the estimated cost for the express service and the estimated cost for the select service.

The estimated cost associated with each of the M types of online taxi-hailing services may be valued, respectively, and the estimated cost data associated with the current available types of online taxi-hailing services may be obtained based on the estimating costs for the M types of online taxi-hailing services, which may avoid an effect for valuing one single type of online taxi-hailing service. When types of online taxi-hailing services changes or the pre-determined evaluation rules changes, the product (e.g., the travel platform) modification may be not changed significantly, and the scalability and versatility of the product may be improved.

In should be noted that, the value of M may be not limited. In some embodiments, M may be equal to N, to determine the estimated cost data associated with the current available types of online taxi-hailing services based on the estimated costs associated with the M types of online taxi-hailing services, the processing engine 112 may determine the estimated cost associated with the current available types of online taxi-hailing services based on a maximum and a minimum of the estimated costs associated with the M types of online taxi-hailing services.

Specifically, the processing engine 112 may obtain the estimated cost associated with each of the N types of online taxi-hailing services. The processing engine 112 may determine the estimated cost data associated with the current available types of online taxi-hailing services based on a maximum and a minimum of the estimated costs associated with the M types (or N types) of online taxi-hailing services, which may improve accuracy of the estimated cost data.

For example, N may be equal to three. The N types of online taxi-hailing services may include an express service, a taxi service, and a select service. The determined estimated cost for the express service may be 28.5 CNY. The determined estimated cost for the select service may be 32.6 CNY. And the determined estimated cost for the taxi service may be 31.7 CNY. The minimum of the estimated costs for the express service, the taxi service, and the select service is 28.5 CNY, and the maximum of the estimated costs for the express service, the taxi service, and the select service is 32.6 CNY. Therefore, the estimated cost data associated with the current available online taxi-hailing service may be 28.5～32.6 CNY.

As another example, M may be less than N. To determine the estimated cost data associated with the current available online taxi-hailing service based on the estimated costs associated with M types of the online taxi-hailing services, the processing engine 112 may determine a reference type of online taxi-hailing service from the M types of online taxi-hailing services. The processing engine 112 may determine an estimated cost associated with each of one or more remaining types among the N types of online taxi-hailing services excluding the M types of online taxi-hailing services based on an estimated cost associated with the reference type and a pre-determined ratio between the each of the one or more remaining types of online taxi-hailing services and the reference type of online taxi-hailing service.

The estimated cost data associated with the current available types of online taxi-hailing services based on a maximum and a minimum of the estimated costs associated with the types of online taxi-hailing services.

Specifically, the processing engine 112 may determine the estimated costs associated with a portion of the N types of online taxi-hailing services, and the estimated cost of the remaining types of the N types of online taxi-hailing services may be unavailable. The estimated costs associated with the remaining types among the N types of online taxi-hailing services excluding the M types of online taxi-hailing services may be determined based on the estimated cost associated with the reference type of online taxi-hailing service from the M types of online taxi-hailing services. The processing engine 112 may determine the estimated cost data (e.g., estimated cost range) associated with the current available types of online taxi-hailing services based on the estimated cost associated with the M types of online taxi-hailing services and the remaining types among the N types of online taxi-hailing services excluding the M types of online taxi-hailing services, which may improve an integrity and reasonability of the estimated cost data.

For example, N may be equal to three. The N types of online taxi-hailing services may include an express service, a taxi service, and a select service. The estimated cost for the express service may be 28.5 CNY. The estimated cost for the select service may be 32.6 CNY. The estimated cost for the taxi service may be unavailable. If the reference type of online taxi-hailing service is the express service, and a pre-determined ratio between the taxi service and the express service may be 1.1, that is, the estimated cost for the taxi may be equal to 31.35 CNY by multiplying 1.1 and the estimated cost of the express service. And the minimum among 28.5 CNY, 32.6 CNY, and 31.35 CNY is 28.5 CNY, and the maximum is 32.6 CNY. Therefore, the estimated cost data (e.g., estimated cost range) associated with the current available types of online taxi-hailing services may be 28.5～32.6 CNY.

It should be noted that, the ratios between different types of online taxi-hailing services may be not limited in the present disclosure, or may be determined according to specific conditions. For example, for a same departure place and a same destination, the cost of the express service may be less than the cost of the taxi service, and the cost of the taxi service may be less than the cost of the select service. The ratio between the taxi service and the express service may be 1.1, that is, the estimated cost of the taxi service may be 1.1 times of the estimated cost of the express service. The ratio between the premier and the express may be 1.2, that is, the estimated cost of the select service may be 1.2 times of the estimated cost of the express service. In some embodiments, the reference type of online taxi-hailing service corresponding to different types of online taxi-hailing services may be same or may be different.

In some embodiments, to determine the reference type of online taxi-hailing service from the M types of online taxi-hailing services, the processing engine 112 may designate one type that ranks first among pre-ranked N types of online taxi-hailing services as the reference type of online taxi-hailing service. For example, N may be equal to 5, and M may be equal to 3. The pre-ranked N types of online taxi-hailing services may be an express service, a carpool service, a taxi service, a select service, and a special service. The M types of online taxi-hailing service may include the taxi service, the express service, and the select service. The first type in the M types of online taxi-hailing services according to the pre-ranked N types of online taxi-hailing services is the express service, and the express service may be designated as the reference type, which may improve accuracy for determining the estimated cost data (e.g., estimated cost range) associated with the current available types of online taxi-hailing services.

In should be noted that, the pre-ranked N types of online taxi-hailing services may be not limited in the present disclosure, and may be set according to a specific condition. For example, the pre-ranked N types of online taxi-hailing services may be obtained by ranking the N types of online taxi-hailing services from a type of online taxi-hailing service with a highest cost to a type of online taxi-hailing service with a lowest cost. As another example, the pre-ranked N types of online taxi-hailing services may be obtained by ranking the N types of online taxi-hailing services from a type of online taxi-hailing service with the maximum count of orders being requested successfully to a type of online taxi-hailing service with the minimum count of orders being requested successfully.

In some embodiments, to designate one type that ranks first among pre-ranked N types of online taxi-hailing services as the reference type of online taxi-hailing service, the processing engine 112 may rank the M types of online taxi-hailing services according to a pre-determined rule. The processing engine 112 may designate one type that ranks first among the ranked M types of online taxi-hailing services as the reference type of online taxi-hailing service.

For example, M may be equal to 3. The M types of online taxi-hailing services may include the express service, the taxi service, and the select service. The pre-ranked M types of online taxi-hailing services may be determined based on the pre-determined rule, as the express service, the taxi service, and the select service. And the express service may be designated as the reference type of online taxi-hailing service.

Designating the reference type of online taxi-hailing service from the M types of online taxi-hailing services with estimated cost may improve the accuracy of the estimated cost data associated with the current available types of online taxi-hailing services.

It should be noted that, the pre-determined rule may be not limited in the present disclosure. More detailed descriptions may be referred to the pre-ranked N types of online taxi-hailing services, and not repeatedly herein.

In some embodiments, a pre-determined type of online taxi-hailing service may be designated as the reference type of online taxi-hailing service, which may reduce complexity of determining the estimated cost data associated with the current available types of online taxi-hailing services.

It should be noted that, the pre-determined type of online taxi-hailing service may be not limited in the present disclosure, and may be determined according to a specific condition.

In some embodiments, the order interface of online taxi-hailing may include one or more icons and price prompt information corresponding to the estimated cost data associated with the M types of online taxi-hailing services. For example, the M types of online taxi-hailing services may include a carpool service, an express service, and a select service. The order interface of online taxi-hailing may include an icon corresponding to the carpool service, an icon corresponding to the express service. The order interface of online taxi-hailing may include an estimated cost corresponding to each of the carpool service and express service. In some embodiments, the order interface may not large enough to display all the M types of online taxi-hailing services. A user may slide the order interface to display the icons and the estimated costs corresponding to all the M types of online taxi-hailing services.

Alternatively or additionally, the order interface of online taxi-hailing may include an icon and estimation failure information corresponding to each of the remaining types among the N types of online taxi-hailing services excluding the M types of online taxi-hailing services. In some embodiments, the estimation failure information corresponding to a type of online taxi-hailing service may be used to indicate that the estimated cost of the type of online taxi-hailing service may be unavailable. The estimation failure information may include but not limited to words, pictures, etc. For example, N may be equal to 3. The N types of online taxi-hailing services may include an express service, a taxi service, and a select service. M may be equal to 2. The M types of online taxi-hailing services may include the express service and the select service. In other words, the estimated cost for the taxi service may be unavailable. The order interface of online taxi-hailing may include an icon and the estimation failure information (e.g., “Unknown” ) corresponding to the taxi service.

Process 500 may obtain a user’s travel information and display an order interface of online taxi-hailing service in response to obtain estimated cost data associated with current available types of online taxi-hailing services based on the travel information, which may improve diversity of information display for a travel platform, flexibility of requesting online taxi-hailing services, and user’s experience

More detailed description of the estimated cost data may be found elsewhere in the present disclosure (e.g., FIG. 8, 9 and the description thereof) .

It should be noted that the above description is merely provided for the purposes of illustration, and not intended to limit the scope of the present disclosure. For persons having ordinary skills in the art, multiple variations and modifications may be made under the teachings of the present disclosure. However, those variations and modifications do not depart from the scope of the present disclosure.

FIG. 6 is a flowchart illustrating an exemplary process 600 for displaying an order interface of taxi-hailing according to some embodiments of the present disclosure. The process 600 may be used in a scenario that the estimated cost associated with current available types of online taxi-hailing services may be not obtained.

In 610, the processing engine 112 (e.g., the server 110, the obtaining module 410) may obtain a user’s travel information. Operation of 610 may be similar to or same as operation 510 in FIG. 5, and may be not repeated again herein.

In 620, the processing engine 112 (e.g., the server 110, the display module 430) may display an order interface of online taxi-hailing in response to a determination that estimated cost data associated with current available types of online taxi-hailing services is unavailable based on the user’s travel information.

The order interface of online taxi-hailing may include estimation failure information associated with the current available types of online taxi-hailing services. The estimation failure information associated with the current available types of online taxi-hailing services may indicate that an estimated cost range associated with the current available types of online taxi-hailing services may be unavailable.

The processing engine 112 may estimate costs for each of the current available types of online taxi-hailing services and display the order interface of online taxi-hailing in response to obtain the user’s travel information. The estimated cost data may be unavailable based on the user’s travel information. The estimated cost data associated with current available types of online taxi-hailing services may be not for a specific type of online taxi-hailing service, but for the current available types of online taxi-hailing services. The current available types of online taxi-hailing services may include N types of online taxi-hailing services. Although the estimated cost data associated with the current available types of online taxi-hailing services may be unavailable, however, the estimation failure information may be displayed on the order interface of online taxi-hailing. The user may concurrently request multiple types of online taxi-hailing services based on the estimation failure information.

It should be noted that, the estimation failure information may be not limited in the present disclosure, and may include words, pictures, etc.

In some embodiments, the estimated cost data associated with the current available types of online taxi-hailing services being unavailable based on the travel information may include that the estimated cost associated with any one type of the current available types of online taxi-hailing services may be unavailable based on the travel information and the pre-determined valuation rule corresponding to each type of the N types of online taxi-hailing services.

FIG. 7 is a flowchart illustrating another exemplary process 700 for displaying an order interface associated with the online to offline service platform according to some embodiments of the present disclosure. In some embodiments, process 700 may be implemented as a set of instructions (e.g., an application) stored in the storage device 160, the ROM 230, the RAM 240, or storage 390. The GPU 330, the CPU 340, the processing engine 112 and/or the modules in FIG. 4 may execute the set of instructions, and when executing the instructions, the GPU 330, the CPU 340, the processing engine 112 and/or the modules in FIG. 4 may be configured to perform process 700. The operations of the illustrated process present below are intended to be illustrative. In some embodiments, process 600 may be accomplished with one or more additional operations not described and/or without one or more of the operations herein discussed. Additionally, the order in which the operations of the process as illustrated in FIG. 7 and described below is not intended to be limiting.

In 710, the processing engine 112 (e.g., the receiving module 440) may receive user’s travel information from a terminal (e.g., the service requestor terminal 130) . In some embodiments, the processing engine 112 may receive the user’s travel information from the service requestor terminal 130 via the network 120. In some embodiments, the travel information may include departure place information, destination information, a departure time, the number of passengers, types of passengers (e.g., child, adult, pregnant women, elderly) , requirements of the user (e.g., need a trunk, carry a pet) , or the like, or any combination thereof. The processing engine 112 may obtain the user’s travel information from the terminal (e.g., the service requestor terminal 130) . For example, the user’s travel information (e.g., a departure place, a destination, the number of passengers, etc. ) may be inputted into the service requestor terminal 130 via the I/O 350 by the user. In some embodiments, at least one portion of the user’s travel information may be determined by the online to offline system 100. For example, the departure place information may be obtained by one or more positioning chips installed in the service requestor terminal 130 and/or the navigation system 170. As another example, the destination information may be determined by the processing engine 112 based on user preference, history records and/or information (e.g., historical orders) , etc. As a further example, the processing engine 112 may recommend a destination to the user based on historical orders launched by the user.

In 720, the processing engine 112 (e.g., the obtaining module 410) may obtain one or more service types of an online to offline service provided by an online to offline service platform associated with the terminal.

In some embodiments, the online to offline service may include an online travel service (or an online taxi-hailing service) including, for example, a taxi service, a select service, a chauffeur service, an express service, a carpool service, a bus service, a driver hire service, a shuttle service, or the like, or any combination thereof. In some embodiments, the online-to-offline service may be a service, such as booking a meal, shopping, booking a bus, booking a train, booking a flight, booking a table at a restaurant, booking a room at a hotel, booking a register at a hospital, booking a ticket (e.g., a movie ticket, a concert ticket) , or the like, or any combination thereof. The online to offline service platform may include a taxi-hailing platform, a shopping platform, a book ticket platform, a register platform, or the like. In some embodiments, the processing engine 112 may obtain the one or more service types of the online to offline service based on the user’s travel information. For example, the processing engine 112 may obtain the one or more service types of the online to offline service based on the numbers of passengers. If the online to offline service is an online taxi-hailing service, the processing engine 112 may determine a taxi-hailing service, a chauffeur service, an express service, a shuttle service, etc., in response to determine that the number of passengers is smaller than a threshold (e.g., 3, 4, 5, etc. ) . As another example, the processing engine 112 may obtain the one or more service types of the online to offline service based on the departure place information and the destination information. If the online to offline service is an online taxi-hailing service, the processing engine 112 may determine a taxi service, an express service, a carpool service, etc., in response to determine that a distance between the departure place and the destination is smaller than a distance threshold (e.g., 30 kilometers, 40 kilometers, 50 kilometers, etc. ) . In some embodiments, the processing engine 112 may obtain the one or more service types of the online to offline service inputted by the user. For example, the user may select the one or more service types of the online to offline service provided by the online to offline platform via a user interface. In some embodiments, the processing engine 112 may obtain the one or more service types of the online to offline service based on historical information (data) and/or preference data associated with the user. For example, the processing engine 112 may determine a count (or number) of historical orders (i.e., historical order count) associated with each of types of online to offline services that the user requests. The processing engine 112 may designate types of online to offline services that the historical order count satisfies a condition as the one or more service types of the online to offline service. As a further example, the processing engine 112 may rank the historical order count associated with each of types of online to offline services from larger to smaller. The processing engine 112 may select the types of online to offline services that the historical order count ranks at top N (e.g., top 3, top 4, etc. ) as the one or more service types of the online to offline service. In some embodiments, the processing engine 112 may obtain the one or more service types of the online to offline service based on transport capacity in a predetermined range of the departure place of the user. For example, the processing engine 112 may determine a number of vehicles for providing each type of online to offline service. The processing engine 112 may designate specific types of online to offline services corresponding to the number of vehicles for providing each of the specific types of online to offline services satisfies a condition (e.g., greater than a threshold) as the one or more service types of the online to offline service. In some embodiments, the number of the one or more of service types of online to offline services may be set by an operator or according to a default setting of the online to offline system 100. For example, the number of the one or more of types of online to offline service may be 1, 2, 3, 4, 5 etc.

In 730, the processing engine 112 (e.g., the cost estimation module 420) may determine information associated with estimated cost associated with the one or more service types of the online to offline service based on the travel information.

In some embodiments, the information associated with the estimated cost associated with the plurality of service types may include an estimated cost associated with each of the plurality of service types, an estimated cost range of the plurality of service types, an identifier indicating that the estimated costs of one or more of the plurality of service types and/or the estimated cost range of the plurality of service types is unavailable, or the like, or any combination thereof.

In some embodiments, an estimated cost associated with a specific service type of online to offline service may be determined based on the travel information and/or a valuation rule corresponding to the specific service type of online to offline service. The valuation rule corresponding to the specific type of online to offline service may provide a relationship between the estimated cost and the travel information under the specific type of online to offline service. For example, the valuation rule corresponding to the specific type of online to offline service may provide a relationship between an estimated travel distance, a departure time, a road condition, an estimated travel duration, a traffic condition, weather, etc., and an estimated cost under the specific type of online to offline service. For example, the estimated cost may be higher for a longer travel distance. As another example, the estimated cost may be higher when the departure time is a rush hour. The estimated travel distance may be determined the departure place information and the destination information of the travel information. For the same travel information, the estimated cost for different types of services may be different. Merely for an example, the estimated cost associated with a select service may be higher than the estimated cost associated with a taxi service. The estimated cost associated with a taxi service may be higher than the estimated cost associated with a carpool service. The valuation rule corresponding to the specific type of online to offline service may be set by an operator or according to a default setting of the online to offline system 100. More descriptions for determining the estimated cost range may be found elsewhere in the present disclosure (e.g., FIG. 6 and the descriptions thereof) .

In 740, the processing engine 112 (e.g., the display module 430) may cause the terminal (e.g., the service requestor terminal 130, the service provider terminal 140) to display an order interface associated with the online to offline service platform. The order interface may include the information associated with the estimated cost of the one or more service types of the online to offline service.

In some embodiments, the processing engine 112 may generate and transmit a signal to the terminal via the network 120. The signal may include information associated with the one or more service types of the online to offline service and/or the information associated with estimated cost associated with the plurality of service types. The information associated with the one or more service types of the online to offline service may include an identifier corresponding to each of the one or more service types of the online to offline service. An identifier corresponding to a specific online to offline service (e.g., an express) may be configured to distinguish the specific online to offline service from other online to offline services. An identifier corresponding to a specific online to offline service (e.g., an express service) may be denoted by an icon, a text, a digit, etc. In some embodiments, the identifier corresponding to a specific online to offline service (e.g., an express service) may be clicked by a user to request the specific online to offline service (e.g., an express service) .

In some embodiments, the signal may further cause the terminal to display the order interface including the information associated with the one or more service types of the online to offline service and/or the information associated with the estimated cost associated with the plurality of service types. For example, the order interface may display the identifier corresponding to each of the one or more service types of the online to offline service. As another example, the order interface may display an estimated cost corresponding to each of the one or more service types. As another example, the order interface may display an estimated cost range associated with the plurality of service types of online taxi-hailing service.

In some embodiments, the estimated cost corresponding to a specific online to offline service (e.g., an express service) and/or the estimated cost range associated with the one or more service types of the online to offline service may be unavailable. The order interface may display a prompt indicating that the estimated cost corresponding to a specific online to offline service (e.g., an express service) and/or the estimated cost range associated with the one or more service types of the online to offline service are unavailable. For example, the prompt may be denoted by an icon, a text, a character, etc. As a further example, the prompt may be displayed on the order interface by text “Unknown” , “Failure” , “Unavailable” , “Uncertain” , etc.

In some embodiments, the order interface may include travel information, cost information, prompt information, one or more identifiers, etc. In some embodiments, the travel information may include the departure place, a destination, a distance between the departure place and the destination, etc. In some embodiments, the cost information may include a payment type, an estimated cost, etc. In some embodiments, the prompt information may include a safety prompt, a cost estimation failure information, etc. In some embodiments, the one or more identifiers may include a service type identifier, an alarm identifier, etc. The user may request an order including at least one service on the terminal based on the information, for example, via the I/O 350. In some embodiments, the order interface (e.g., an order interface illustrated in FIG. 8, 10, 11) may be displayed on the terminal (e.g., the service requestor terminal 130, the service provider terminal 140) .

It should be noted that the above description of the process 700 is merely provided for the purposes of illustration, and not intended to limit the scope of the present disclosure. For persons having ordinary skills in the art, multiple variations and modifications may be made under the teachings of the present disclosure. However, these variations and modifications still remain in the scope of the present disclosure. For example, process 700 may further include receive a signal from the terminal (e.g., the service requestor terminal 130) generated by the user clicking an icon on the order interface. The processing engine 112 may match a service provider for the user in response to receive the signal.

FIG. 8 is a schematic diagram illustrating an exemplary order interface 800 according to some embodiments of the present disclosure. In some embodiments, the order interface 800 may be an embodiment of the order interface of an online taxi-hailing platform as described elsewhere in the present disclosure (e.g., FIG. 5 and the description thereof) .

As illustrated in FIG. 8, the order interface 800 may include a map display area 810 and a service request area 820. In some embodiments, the map display area 810 may be configured to display travel information, such as a departure place, a destination, a travel route, a departure time, an estimated arrival time, a traffic condition, etc. In some embodiments, the map display area 810 may be configured to display locations of a plurality of vehicles that may provide one or more types of an online taxi-hailing service for a user.

The service request area 820 may be configured to facilitate a communication between an online taxi-hailing platform and a user. For example, the service request area 820 may be configured to display one or more specific service types (or current available types) 821 of an online taxi-hailing service, such as a carpool service, an express service, etc., for the user. In some embodiments, the service request area 820 may not be enough to display all the current available types 821 of online taxi-hailing services. As shown in FIG. 8, the service request area 820 may just display the carpool service and the express service. The user may slide the service request area 820 to display more current available types 821 (e.g., the select service) of online taxi-hailing services. As another example, the service request area 820 may be configured to display the information corresponding to estimated cost data associated with the current available types of the online taxi-hailing service. The information corresponding to estimated cost data may include an estimated cost 822 for each of the current available service types of the online taxi-hailing service and/or an estimated cost range 823 corresponding to the current available service types of the online taxi-hailing service. As shown in FIG. 8, the estimated cost for the carpool service is 18.2 CNY. The estimated cost for the express service is approximately 28.5 CNY. The estimated cost range associated with the current available types of the online taxi-hailing service is approximately 18.2～32.6 CNY. As still another example, the service request area 820 may be also configured to display one or more price prompts (e.g., “Price by service types” 824) configured to reminder a user that the information associated with the estimated cost data may be estimated based on the service types of the online taxi-hailing service. The actual cost that the user pays may be determined based on the actual travel which may be different from the estimated cost data.

In some embodiments, the service request area 820 may be configured with one or more icons (e.g., an icon 825, an icon 826, an icon 827, etc. ) . The one or more icons may be configured to trigger a request for the online taxi-hailing service by a user. For example, the user may click the icon 827 corresponding to one single type of online taxi-hailing service to request the one single type of online taxi-hailing service individually. As another example, the user may click the icon 825 “request available taxi-hailing services” , that means the user may need to call all the current available service types of the online taxi-hailing service simultaneously. The online taxi-hailing platform may set the icon 826 “Request Express + Select + Carpool” for the user in response to receive a click on the icon 825. The user may further click the icon 826 to trigger a request for the current available service types of the online taxi-hailing service.

It should be noted that the above description is merely provided for the purposes of illustration, and not intended to limit the scope of the present disclosure. For persons having ordinary skills in the art, multiple variations and modifications may be made under the teachings of the present disclosure. For example, not all of the types of the online taxi-hailing services are displayed on the order interface 800. The users may view the types via a drop-down list or sliding the screen. However, those variations and modifications do not depart from the scope of the present disclosure.

FIG. 9 is a block diagram illustrating an exemplary estimated cost associated with online taxi-hailing services according to some embodiments of the present disclosure. As shown in FIG. 9, an online to offline platform may provide a plurality of types of online taxi-hailing services, such as an express service, a taxi service, a select service, a carpool service, etc. A server associated with the online to offline platform may determine the express service, the taxi service, and the select service as current available types of online taxi-hailing services in response to receive travel information of a user as described elsewhere in the present disclosure (e.g., FIG. 7 and the descriptions thereof) .

Each of the plurality of types of online taxi-hailing services may correspond to a valuation rule. The valuation rule corresponding to a specific service type of online taxi-hailing service may be used to determine an estimated cost (or price) of a travel of a user for requesting the specific service type of online taxi-hailing service based on travel information. For example, a valuation rule of the express service may be used to determine an estimated cost associated with the travel of the user for requesting the express service based on the travel information. A valuation rule of the select service may be used to determine an estimated cost associated with the travel of the user for requesting the select service based on the travel information. A valuation rule of the carpool service may be used to determine an estimated cost associated with the travel of the user for requesting the carpool service based on the travel information. In some embodiments, an estimated cost associated with the travel of the user for requesting the taxi service may be unavailable based on the travel information and a valuation rule of the taxi service. The estimated cost associated with the travel of the user for requesting the taxi service may be determined based on the estimated cost for requesting the select service and/or the express service as described elsewhere in the present disclosure (e.g., FIG. 5, and the descriptions thereof) .

An estimated cost range of the current available types of online taxi-hailing services may be determined based on the estimated cost for each of the current available types of online taxi-hailing services. For example, the estimated cost range of the current available types of online taxi-hailing services may be from a minimum of the estimated cost for each of the current available types of online taxi-hailing services to a maximum of the estimated cost for each of the current available types of online taxi-hailing services.

FIG. 10 is a schematic diagram illustrating an exemplary order interface 1000 according to some embodiments of the present disclosure. As illustrated in FIG. 10, the order interface 1000 may include a map display area 1010 and a service request area 1020. In some embodiments, the order interface 1000 may be an embodiment of the order interface of an online taxi-hailing platform as described elsewhere in the present disclosure (e.g., FIG. 5 and the descriptions thereof) . The map display area 1010 may be similar to or same as the map display area 810 as described in FIG. 8, and may not be repeated again herein. The service request area 1020 may be similar to the service request area 820 as described in FIG. 8. For example, the service request area 1020 may display current available types 1021 of online taxi-hailing services (e.g., a taxi service, an express service, a select service (not shown) , etc. ) , an estimated cost 1022 associated with each of one or more current available types of online taxi-hailing services, an estimated cost range 1023 of the current available types of online taxi-hailing services determined according to process 600 as described in FIG. 6, etc. Specifically, the estimated cost associated with the express service is approximately 28.5 CNY. The estimated cost associated with the select service is approximately 32.6 CNY (not shown) that may be displayed on the service request area 1020 by sliding the service request area 1020. The estimated cost associated with the taxi service may be unavailable that may be displayed on the service request area 1020 as “Unknown. ” The estimated cost range 1023 of the current available types of online taxi-hailing services is approximately 28.5-2.6 CNY. As another example, the service request area 1020 may be also configured to display one or more price prompts (e.g., “Price by service types” 1024) , one or more icons (e.g., an icon 1025, an icon 1026, an icon 1027, etc. ) . The one or more icons (also referred to as button) may be configured to trigger a request for the online taxi-hailing service by a user as described in FIG. 8. For example, the user may click the icon 1025 “request available taxi-hailing services. ” The online taxi-hailing platform may set the icon 1026 “request express + select +taxi” for the user in response to receive a click on the icon 1025. The user may further click the icon 1026 and trigger a request for the current available service types of the online taxi-hailing services simultaneously.

It should be noted that the above description is merely provided for the purposes of illustration, and not intended to limit the scope of the present disclosure. For persons having ordinary skills in the art, multiple variations and modifications may be made under the teachings of the present disclosure. However, those variations and modifications do not depart from the scope of the present disclosure. For example, for different types of the online taxi-hailing services, the reference type may be same or different. As another example, the determination of the pre-determined ratio between the reference type of online taxi-hailing service and the each of the one or more remaining types of online taxi-hailing services may be same or may be different.

FIG. 11 is a schematic diagram illustrating an exemplary order interface 1100 according to some embodiments of the present disclosure. As illustrated in FIG. 11, the order interface 1100 may include a map 1110 and a request interface 1120. In some embodiments, the order interface 1100 may be an embodiment of the order interface of an online taxi-hailing platform as described elsewhere in the present disclosure (e.g., FIG. 5 and the description thereof) .

The map display area 1110 may be similar to or same as the map display area 810 as described in FIG. 8, and may not be repeated again herein. The service request area 1120 may be similar to the service request area 820 as described in FIG. 8. For example, the service request area 1120 may display current available types 1121 of online taxi-hailing services (e.g., a taxi service, an express service, a select service (not shown) , etc. ) , an estimated cost 1122 associated with each of one or more current available types of online taxi-hailing services, an estimated cost range 1123 of the current available types of online taxi-hailing services, etc. As shown in FIG. 11, the estimated cost 1133 associated with each of the current available types of online taxi-hailing services may be unavailable that may be displayed on the service request area 1120 as “Unknown. ” The estimated cost range 1123 of the current available types of online taxi-hailing services may cannot also be determined based on the unavailable estimated cost associated with each of the current available types of online taxi-hailing services that may be displayed on the service request area 1120 as “Estimation failure. ” The service request area 1120 may be also configured to display one or more price prompts (e.g., “Price by service types” 1124) , one or more icons (e.g., an icon 1125, an icon 1126, an icon 1127, etc. ) , etc., that may be similar as described in FIG. 8.

Having thus described the basic concepts, it may be rather apparent to those skilled in the art after reading this detailed disclosure that the foregoing detailed disclosure is intended to be presented by way of example only and is not limiting. Various alterations, improvements, and modifications may occur and are intended to those skilled in the art, though not expressly stated herein. These alterations, improvements, and modifications are intended to be suggested by this disclosure and are within the spirit and scope of the exemplary embodiments of this disclosure.

Moreover, certain terminology has been used to describe embodiments of the present disclosure. For example, the terms “one embodiment, ” “an embodiment, ” and/or “some embodiments” mean that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Therefore, it is emphasized and should be appreciated that two or more references to “an embodiment” or “one embodiment” or “an alternative embodiment” in various portions of this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures or characteristics may be combined as suitable in one or more embodiments of the present disclosure.

Further, it will be appreciated by one skilled in the art, aspects of the present disclosure may be illustrated and described herein in any of a number of patentable classes or context including any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof. Accordingly, aspects of the present disclosure may be implemented entirely hardware, entirely software (including firmware, resident software, micro-code, etc. ) or combining software and hardware implementation that may all generally be referred to herein as a “unit, ” “module, ” or “system. ” Furthermore, aspects of the present disclosure may take the form of a computer program product embodied in one or more computer-readable media having computer readable program code embodied thereon.

A non-transitory computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated signal may take any of a variety of forms, including electromagnetic, optical, or the like, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that may communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable signal medium may be transmitted using any appropriate medium, including wireless, wireline, optical fiber cable, RF, or the like, or any suitable combination of the foregoing.

Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object-oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C++, C#, VB. NET, Python or the like, conventional procedural programming languages, such as the "C" programming language, Visual Basic, Fortran, Perl, COBOL, PHP, ABAP, dynamic programming languages such as Python, Ruby, and Groovy, or other programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN) , or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider) or in a cloud computing environment or offered as a service such as a Software as a Service (SaaS) .

Furthermore, the recited order of processing elements or sequences, or the use of numbers, letters, or other designations, therefore, is not intended to limit the claimed processes and methods to any order except as may be specified in the claims. Although the above disclosure discusses through various examples what is currently considered to be a variety of useful embodiments of the disclosure, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover modifications and equivalent arrangements that are within the spirit and scope of the disclosed embodiments. For example, although the implementation of various components described above may be embodied in a hardware device, it may also be implemented as a software-only solution, e.g., an installation on an existing server or mobile device.

Similarly, it should be appreciated that in the foregoing description of embodiments of the present disclosure, various features are sometimes grouped together in a single embodiment, figure, or description thereof to streamline the disclosure aiding in the understanding of one or more of the various inventive embodiments. This method of disclosure, however, is not to be interpreted as reflecting an intention that the claimed object matter requires more features than are expressly recited in each claim. Rather, inventive embodiments lie in less than all features of a single foregoing disclosed embodiment.

In some embodiments, the numbers expressing quantities, properties, and so forth, used to describe and claim certain embodiments of the application are to be understood as being modified in some instances by the term “about, ” “approximate, ” or “substantially. ” For example, “about, ” “approximate, ” or “substantially” may indicate ±20%variation of the value it describes, unless otherwise stated. Accordingly, in some embodiments, the numerical parameters set forth in the written description and attached claims are approximations that may vary depending upon the desired properties sought to be obtained by a particular embodiment. In some embodiments, the numerical parameters should be construed in light of the number of reported significant digits and by applying ordinary rounding techniques. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of some embodiments of the application are approximations, the numerical values set forth in the specific examples are reported as precisely as practicable.

Each of the patents, patent applications, publications of patent applications, and other material, such as articles, books, specifications, publications, documents, things, and/or the like, referenced herein is hereby incorporated herein by this reference in its entirety for all purposes, excepting any prosecution file history associated with same, any of same that is inconsistent with or in conflict with the present document, or any of same that may have a limiting affect as to the broadest scope of the claims now or later associated with the present document. By way of example, should there be any inconsistency or conflict between the description, definition, and/or the use of a term associated with any of the incorporated material and that associated with the present document, the description, definition, and/or the use of the term in the present document shall prevail.

In closing, it is to be understood that the embodiments of the application disclosed herein are illustrative of the principles of the embodiments of the application. Other modifications that may be employed may be within the scope of the application. Thus, by way of example, but not of limitation, alternative configurations of the embodiments of the application may be utilized in accordance with the teachings herein. Accordingly, embodiments of the present application are not limited to that precisely as shown and described.

Claims

A method for information display associated with a travel platform, comprising:

receiving a user’s travel information;

in response to obtain estimated cost data associated with current available types of online taxi-hailing services based on the user’s travel information:

displaying an order interface of online taxi-hailing, wherein the estimated cost data associated with current available types of online taxi-hailing services indicates an estimated cost range associated with N types of online taxi-hailing services, N being an integer greater than 1 and the order interface includes the estimated cost data associated with current available types of online taxi-hailing services.
The method of claim 1, wherein the obtaining estimated cost data associated with current available types of online taxi-hailing services based on the travel information includes:

obtaining, based on the travel information and a pre-determined valuation rule associated with each of the N types of online taxi-hailing services, estimated costs associated with M types of the N types of online taxi-hailing services; and

determining, based on the estimated costs associated with the M types of online taxi-hailing services, the estimated cost data associated with current available types of online taxi-hailing services, wherein M is greater than or equal to 1 and smaller than or equal to N.
The method of claim 2, wherein M is equal to N, and the determining, based on the estimated costs associated with the M types of online taxi-hailing service, the estimated cost data associated with current available types of online taxi-hailing services further includes:

determining, based on a maximum and a minimum of the estimated costs associated with the M types of online taxi-hailing services, the estimated cost data associated with the current available types of online taxi-hailing services.
The method of claim 2, wherein M is smaller than N, and the determining, based on the estimated costs associated with the M types of online taxi-hailing services, the estimated cost data associated with the current available types of online taxi-hailing services further includes:

determining a reference type of online taxi-hailing service from the M types of online taxi-hailing services;

determining an estimated cost associated with each of one or more remaining types among the N types of online taxi-hailing services excluding the M types of online taxi-hailing services, based on an estimated cost associated with the reference type and a pre-determined ratio between the reference type of online taxi-hailing service and the each of the one or more remaining types of online taxi-hailing services.
The method of claim 4, wherein the determining a reference type from the M types of online taxi-hailing services includes:

designating, as the reference type of online taxi-hailing service, one type that ranks first among pre-ranked N types of online taxi-hailing services.
The method of claim 4, wherein the determining a reference type from the M types of online taxi-hailing services includes:

ranking the M types of online taxi-hailing services according to a pre-determined rule; and

designating, as the reference type of online taxi-hailing service, one type that ranks first among the ranked M types of online taxi-hailing services.
The method of claim 4, wherein the determining a reference type from the M types of online taxi-hailing services includes:

designating a pre-determined type of online taxi-hailing service as the reference type of online taxi-hailing service.
The method of any one of claim 2 to 7, wherein the order interface further includes:

an icon and an estimated cost associated with the estimated costs associated with each of the M types of online taxi-hailing services.
The method of any one of claims 4 to 7, wherein the order interface further includes:

an icon and an estimation failure prompt associated with each of the one or more remaining types in the N types of online taxi-hailing services excluding the M types of online taxi-hailing services.
The method of any one of claims 4 to 7, wherein the order interface further includes:

one or more icons and price prompt information corresponding to the estimated cost data associated with the current available types of online taxi-hailing services.
The method of any one of claims 1 to 7, further comprising:

in response to a determination that the estimated cost data associated with the current available types of online taxi-hailing services is unavailable based on the user’s travel information,

displaying the order interface including estimation failure information associated with the current available types of online taxi-hailing services, wherein the estimation failure information indicates that the estimated cost range associated with the N types of the online taxi-hailing service is unavailable.
The method of claim 4, wherein the estimated cost data associated with the current available types of online taxi-hailing services being unavailable based on the travel information includes that the estimated cost data associated with any of the current available types of online taxi-hailing services is unavailable based on the travel information and the pre-determined valuation rule corresponding to each type of N types of online taxi-hailing services.
The method of any one of claims 1 to 7, further comprising:

receiving a service request corresponding to the N types of online taxi-hailing services triggered by the user via the order interface.
The method of any one of claims 1 to 7, wherein the travel information includes departure information and destination information.
A device for information display associated with a travel platform, comprising:

an obtaining module configured to receive a user’s travel information;

a cost estimation module configured to obtain estimated cost data associated with current available types of online taxi-hailing services based on the user’s travel information, wherein the estimated cost data associated with current available types of online taxi-hailing services indicates an estimated cost range associated with N types of online taxi-hailing services, N being an integer greater than 1; and

a display module configured to display an order interface of online taxi-hailing, wherein the order interface includes the estimated cost data associated with current available types of online taxi-hailing services.
The device of claim 15, wherein the cost estimation module includes:

a single service cost estimation module configured to obtain, based on the travel information and a pre-determined valuation rule associated with each of the N types of online taxi-hailing services, estimated costs associated with M types of the N types of online taxi-hailing services, wherein M is greater than or equal to 1 and smaller than or equal to N; and

a cost integration module configured to determine, based on the estimated costs associated with the M types of online taxi-hailing services, the estimated cost data associated with current available types of online taxi-hailing services.
The device of claim 15, wherein M is equal to N, and the cost integration module is configured to:

determine, based on a maximum and a minimum of the estimated costs associated with the M types of online taxi-hailing services, the estimated cost data associated with the current available types of online taxi-hailing services.
The device of claim 16, wherein M is smaller than N, and the cost integration module is configured to:

determine a reference type of online taxi-hailing service from the M types of online taxi-hailing services;

determine an estimated cost associated with each of one or more remaining types among the N types of online taxi-hailing services excluding the M types of online taxi-hailing services, based on an estimated cost associated with the reference type and a pre-determined ratio between the reference type of online taxi-hailing service and the each of the one or more remaining types of online taxi-hailing services; and

determine, based on a maximum and a minimum of the estimated costs associated with the M types of online taxi-hailing services, the estimated cost data associated with the current available types of online taxi-hailing services.
The device of claim 18, wherein the cost integration module is configured to:

designate, as the reference type of online taxi-hailing service, one type that ranks first among pre-ranked N types of online taxi-hailing services.
The device of claim 18, wherein the cost integration module is configured to:

rank the M types of online taxi-hailing services according to a pre-determined rule; and

designate, as the reference type of online taxi-hailing service, one type that ranks first among the ranked M types of online taxi-hailing services.
The device of claim 18, wherein the cost integration module is configured to:

designate a pre-determined type of online taxi-hailing service as the reference type of online taxi-hailing service.
The device of any one of claims 16-21, wherein the order interface further includes:

an icon and an estimated cost associated with the estimated costs associated with each of the M types of online taxi-hailing services.
The device of any one of claims 18-21, wherein the order interface further includes:

an icon and an estimation failure prompt associated with each of the one or more remaining types in the N types of online taxi-hailing services excluding the M types of online taxi-hailing services.
The device of any one of claims 15-21, wherein the order interface further includes:

one or more icons and price prompt information corresponding to the estimated cost data associated with the current available types of online taxi-hailing services.
The device of any one of claims 15-21, wherein:

the cost estimation module is also configured to determine that the estimated cost data associated with the current available types of online taxi-hailing services is unavailable based on the user’s travel information; and

the display module is also configured to display the order interface including estimation failure information associated with the current available types of online taxi-hailing services, wherein the estimation failure information indicates that the estimated cost range associated with the N types of the online taxi-hailing service is unavailable.
The device of claims 15, wherein the cost estimation module includes a single service cost estimation module configured to determine that the estimated cost data associated with any of the current available types of online taxi-hailing services is unavailable based on the travel information and the pre-determined valuation rule corresponding to each type of N types of online taxi-hailing services.
The device of any one of claims 15-21, wherein the device further includes a receiving module:

the receiving module is configured to receiving a service request corresponding to the N types of online taxi-hailing services triggered by the user via the order interface.
The device of any one of claims 15 to 21, wherein the travel information includes departure information and destination information.
A terminal device, comprising a storage device, a processor and computer program, wherein the computer program is stored in the storage device, when executed by the processor, cause the processor to perform the method of any one of claims 1-14.
A computer readable medium, comprising at least one set of instructions, wherein when executed by at least one processor, the at least one set of instructions directs the at least one processor to perform the method of any one of claims 1-14.