CN111737390A - Method and equipment for informing order supply and demand density - Google Patents
Method and equipment for informing order supply and demand density Download PDFInfo
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- CN111737390A CN111737390A CN202010569137.4A CN202010569137A CN111737390A CN 111737390 A CN111737390 A CN 111737390A CN 202010569137 A CN202010569137 A CN 202010569137A CN 111737390 A CN111737390 A CN 111737390A
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Abstract
The embodiment of the disclosure provides a method and equipment for informing order supply and demand density. The method comprises the following steps: obtaining a first number of potential order initiators within a geographic area; obtaining a second quantity of potential order recipients within the geographic area; determining the supply and demand density of the orders in the geographic area according to the first quantity and the second quantity; and sending the order supply and demand density. According to the method and the device for informing the order supply and demand density, the distribution condition of the order supply and demand density of the passenger can be conveniently and effectively provided, and the supply and demand balance of a driver and the passenger is promoted.
Description
Reference to related applications
The present application is a divisional application of an invention patent application having an application number of 201510097280.7, an application date of 2015, 3/4, and an invention name of "method and apparatus for notifying the supply and demand density of an order".
Technical Field
Embodiments of the present disclosure generally relate to methods and apparatus for notifying order supply and demand density.
Background
The popularization of intelligent equipment and the development of mobile internet bring great convenience to people's trip. The taxi calling service based on the intelligent device application provides convenient and efficient service for people of all levels of the society to take taxies for going out. Taxi calling applications (i.e., taxi-taking software), such as by "drip-and-shoot" solves the problem of information asymmetry between taxi drivers and passengers.
By using taxi taking software, the taxi taking experience can be greatly improved for passengers, the passengers do not need to wave hands to raise and ask at the roadside, and the passengers can call a taxi in advance and then go out only by initiating an order through intelligent equipment (such as a mobile phone) application software. For the driver, there is no need to blindly empty the road to wait for passengers to appear randomly. While cell phone applications work well to address these problems, there are still some drawbacks. For example, as an order receiver, the driver's order taking (i.e. the driver's order "pick up" as desired according to the passenger's car demand) via the mobile phone application becomes the main source of order taking, but the order is usually made to the driver within a certain distance from the start, and if the driver is not within the distance, the order message cannot be received. Generally, there are two ways to receive more playlist messages: first, the order is received in hot spots, such as a mall, near a shopping mall, etc., where the demand for car usage is typically large; second, reception is done in areas with relatively few taxis, which, although the number of passengers (i.e., orders) may not be as great as in hot spots, are more demanding because there are fewer taxis available. For the first point, the driver usually determines the hot spot area based on experience, which is easier to implement. For the second point, it is often difficult for the driver to know in which areas taxis are less than what is required for a taxi. The driver is often concentrated in the hot spot area by experience, so that taxis exceeding the vehicle using requirements are concentrated in the hot spot area, and meanwhile, the taxis in other areas are distributed less, so that the vehicle using requirements of passengers are difficult to meet.
Disclosure of Invention
In view of this, the embodiments of the present disclosure provide a method and an apparatus for notifying order supply and demand density.
The embodiment of the disclosure can effectively provide the density distribution of the passenger demand for the driver, so that the passenger demand for the driver can be quickly met, and the method has important significance for promoting the balance of supply and demand of the driver and the passenger and improving the capacity of the taxi.
According to a first aspect of the present disclosure, there is provided a method for notifying an order of supply and demand density, comprising: obtaining a first number of potential order initiators within a geographic area; obtaining a second quantity of potential order recipients within the geographic area; determining the supply and demand density of the orders in the geographic area according to the first quantity and the second quantity; and sending the order supply and demand density.
According to an embodiment of the present disclosure, further comprising: the geographic area is divided on a map.
According to another embodiment of the present disclosure, wherein obtaining the first number of potential order initiators within the geographic area comprises: acquiring the real-time order number, the historical order number and the third number of the potential order initiators in the geographic area, and determining the first number according to the real-time order number, the historical order number and the third number of the potential order initiators in the geographic area.
According to another embodiment of the present disclosure, wherein the third number of potential order initiators is obtained based on a number of online users.
According to another embodiment of the present disclosure, wherein obtaining a second number of potential order recipients within the geographic area comprises: the method comprises the steps of obtaining the number of static potential order receiving sides and the number of dynamic potential order receiving sides in the geographic area, and determining the second number according to the number of the static potential order receiving sides and the number of the dynamic potential order receiving sides in the geographic area.
According to another embodiment of the present disclosure, the number of the dynamic potential order recipients is determined based on the number of the dynamic potential order recipients in a time period prior to a current time period and current road condition information in the geographic area.
According to another embodiment of the present disclosure, wherein sending the order supply and demand density comprises: and forming order supply and demand distribution based on the order supply and demand density, and sending the order supply and demand distribution.
According to another embodiment of the disclosure, wherein sending the order supply and demand distribution comprises at least one of: sending an order supply and demand distribution presented on a map, sending the order supply and demand distribution in a text form, and sending the order supply and demand distribution in a voice form.
According to a second aspect of the present disclosure, there is provided an apparatus for notifying an order of supply and demand density, comprising: first obtaining means for obtaining a first number of potential order initiators within a geographic area; second obtaining means for obtaining a second number of potential order recipients within the geographic area; the first determining device is used for determining the supply and demand density of the orders in the geographic area according to the first quantity and the second quantity; and the sending device is used for sending the order supply and demand density.
According to an embodiment of the present disclosure, further comprising: dividing means for dividing the geographical area on a map.
According to another embodiment of the present disclosure, wherein the first obtaining means includes: means for obtaining the real-time amount of orders, the historical number of orders, and the third number of potential order originators within the geographic area, and means for determining the first number based on the real-time amount of orders, the historical number of orders, and the third number of potential order originators within the geographic area.
According to another embodiment of the present disclosure, further comprising: third obtaining means for obtaining a third number of the potential order promoters based on the number of online users.
According to another embodiment of the present disclosure, wherein the second acquiring means includes: means for obtaining a number of static potential order recipients and a number of dynamic potential order recipients in the geographic area, and means for determining the second number based on the number of static potential order recipients and the number of dynamic potential order recipients in the geographic area.
According to another embodiment of the present disclosure, further comprising: and the second determining device is used for determining the number of the dynamic potential order receiving sides based on the number of the dynamic potential order receiving sides in the previous time period of the current time period and the current road condition information in the geographic area.
According to another embodiment of the present disclosure, wherein the transmitting apparatus includes: the order supply and demand distribution sending device comprises a device for forming order supply and demand distribution based on the order supply and demand density and a device for sending the order supply and demand distribution.
According to another embodiment of the present disclosure, the means for sending the order supply and demand distribution comprises at least one of: means for sending an order supply and demand distribution presented on a map, means for sending the order supply and demand distribution in text form, and means for sending the order supply and demand distribution in voice form.
The method and the equipment for informing the order supply and demand density of the embodiment of the disclosure can bring about at least the following remarkable technical effects: the driver or the passenger can conveniently know the distribution condition of the order supply and demand density of the passenger, so that the passenger demand is quickly met, and the passenger-oriented taxi taking system has an important function of promoting the supply and demand balance of the driver and the passenger and improving the taxi capacity.
Drawings
The features, advantages and other aspects of various embodiments of the present disclosure will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings, which illustrate, by way of example and not by way of limitation, several embodiments of the present disclosure. Wherein:
FIG. 1A exemplarily illustrates a flow chart of a method for notifying order supply and demand density according to an embodiment of the present disclosure;
FIG. 1B schematically illustrates a schematic diagram of an apparatus for notifying order supply and demand density according to an embodiment of the present disclosure;
fig. 2 illustrates a schematic map of a method for notifying order supply and demand density sending a notification according to an embodiment of the present disclosure.
FIG. 3 schematically illustrates a block diagram of a mobile terminal used to practice exemplary embodiments of the present disclosure; and
FIG. 4 illustratively shows a block diagram of a computer system used to practice the exemplary embodiments of the present disclosure.
Detailed Description
Various exemplary embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems according to various embodiments of the present disclosure. It should be noted that each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the logical function specified in the respective embodiment. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It should be understood that these exemplary embodiments are given solely for the purpose of enabling those skilled in the art to better understand and to practice the present disclosure, and are not intended to limit the scope of the present disclosure in any way.
The method and the device for notifying the order supply and demand distribution of the embodiment of the disclosure are mainly suitable for a first user, such as a taxi driver, so as to improve the capacity of a taxi, and also suitable for a second user, such as a passenger, so as to provide the passenger with the supply and demand density of the taxi as travel reference information. In addition, the method is not limited to taxi calling service, and can also be applied to public rental service of other vehicles or articles.
The method and the device for notifying the order supply and demand distribution according to the embodiments of the present disclosure are described in detail below only by taking a taxi calling service as an example.
Referring to FIG. 1A, a flow chart of a method for notifying order supply and demand distribution is illustratively shown, in accordance with an embodiment of the present disclosure.
According to embodiments of the present disclosure, the first user is an order recipient, e.g., a driver, may receive the vehicle demand order using a smart device (such as a smart phone, a personal digital assistant, a tablet computer, a laptop computer, etc.). The vehicle demand order is issued by a second user, i.e. an order originator, such as a passenger. The driver as the order receiving party has several different states, such as a "ready to receive order" state, an "executing order" state, an "completed order" state, and the like, and no matter what the state of the driver is, the distribution of the order demand density can be known through the method and the device for informing the order supply and demand density according to the embodiment of the disclosure, so as to provide reference information for the decision of order taking or driving. The passenger as the order initiator may also be in different states, such as "initiate order", "complete order", or even if he does not need a car at present and therefore does not activate the taxi-taking software, the method and apparatus for informing the order supply and demand density according to the disclosed embodiments may still be used to learn the distribution of the demand of the car-taking order when needed, so as to estimate the current taxi capacity distribution and provide reference information for his/her schedule.
Further, the method for notifying the order supply and demand density according to the embodiment of the present disclosure may be repeatedly executed in each period, so as to more timely acquire the status of the order supply and demand density distribution, for example, executed every 10 minutes or every 5 minutes, and update the relevant data of the order supply and demand density distribution.
According to fig. 1A, a method for notifying order supply and demand density according to an embodiment of the present disclosure includes: step S110, a first number of potential order initiators in a geographic area is obtained. The geographical area may be based on a division of streets on a map, or may be based on a division of hot spots, such as a train station, a subway station, or a vicinity of a mall. Preferably, the geographic area is a geographic area with a diameter in the range of about 5-10KM, which is equivalent to a geographic area within about 10 minutes of the vehicle journey, so that drivers can conveniently know the order demand distribution in different geographic areas and timely arrive at a geographic area with a dense order demand distribution.
Optionally or alternatively, the method for notifying the order supply and demand density according to the embodiment of the present disclosure further includes: and step S100, dividing the geographic area on a map. The division of the map into geographical areas may be preset and not changed during the execution of the overall method. The division of the geographical areas on the map may also be changed during execution of the method, for example, the area of each geographical area may be dynamically divided smaller or larger, or the boundaries of the geographical areas may be changed to better reflect the status of the order supply and demand distribution. Alternatively, the area of the geographic area may be divided based on user specifications, for example, if the user wants to know more clearly the more detailed distribution of the order supply and demand density in an area within 500 meters or 1000 meters around a certain location, the geographic area with a smaller area may be divided again in the geographic area with a radius of 500 meters or 1000 meters.
Further, in step S110, acquiring the first quantity of order demands in the geographic area includes: obtaining real-time orders, historical orders, and a third number of potential order originators within the geographic area, and determining the first number based on the real-time orders, historical orders, and the third number of potential order originators.
The real-time order number is marked as X and represents the current vehicle demand order number received by the driver in the current time period in the geographic area.
Historical orders, marked as OpreRepresenting historical orders in said geographic area, which may be actual orders for the time period of the previous day, or the actual orders for the previous N daysThe average number of actual orders of the time period.
A third number, denoted P, of potential order originators indicates the number of passengers who may have ride demands during the current time period within the geographic area. In contrast, since the passenger does not start the taxi-taking software when the taxi-taking is not needed, it is difficult to obtain the position information of the passenger through the taxi-taking software itself, that is, the number P of passengers is difficult to be determined by the number of online users of the second user-side application software (e.g., the passenger-side application software) of the taxi-taking software. Since the second user (e.g. passenger) of the taxi taking software is usually also the user of the social software (e.g. WeChat), the user characteristics are consistent, and the payment mode of the taxi taking software is usually also bound with the social software (e.g. WeChat payment), the social software (e.g. WeChat) can be used to obtain the possible number of passengers P. The location information obtained by the social software (e.g., WeChat) may be relatively accurate location information obtained based on GPS information of a mobile terminal (e.g., a smart phone) used by the passenger, or relatively rough location information obtained based on location information of a base station used by the mobile terminal (e.g., a smart phone) used by the passenger when accessing network services. Even less accurate passenger location information is of considerable reference for determining the number of possible passengers within the geographic area.
According to the real-time order number X and the history order number OpreAnd a third number of potential order originators, P, a first number of order demands K1 within the geographic area may be determined as:
K1＝X+αP+βOpre(1)
wherein both alpha and beta are coefficients, the values of which can be both 1, and the first quantity K1 reflects the degree of the vehicle demand. Alternatively, the values of the coefficients α, β may be other constants. Preferably, the coefficient α may have a value of between about 0.4-0.6 and the coefficient β may be 1. Alternatively, the values of the coefficients α and β may be modified by approximating the value of K1 to the actual vehicle demand order quantity, so that the values of the coefficients α and β may make the first quantity K1 closer to the actual vehicle demand order quantity. When the values of the coefficients α and β are determined, the larger the value of K1, the larger the first number representing potential order originators, the higher the vehicle utilization demand representing the passenger.
According to fig. 1A, the method for notifying the order supply and demand density according to the present disclosure further includes: step S120, obtaining a second number of potential order recipients in the geographic area, specifically, in step S120, obtaining the number of static potential order recipients and the number of dynamic potential order recipients in the geographic area, and determining the second number according to the number of static potential order recipients and the number of dynamic potential order recipients in the geographic area.
Wherein the number of static potential order recipients in the geographic region is marked as DsRepresenting the number of available vehicles for the period of stationary waiting passengers in the area; the number of potential order recipients in the geographic region is marked as DpreRepresenting the number of vehicles available in motion for that period of time within the area. The second number of potential order recipients, K2, within the geographic area is:
K2＝Ds+Dpre(2)
wherein D ispreThe number of potential order receiving sides currently driving in the geographic area is predicted according to the current road traffic jam condition of the geographic area, namely the number of available vehicles. The road traffic jam condition information is acquired by other road condition information systems. Specifically, for example, the number of potential order recipients moving the day before the time period in the geographic area is denoted as Dh1The road traffic jam condition coefficient of the day before the time interval in the geographic area is1And the current road traffic jam condition coefficient of the time interval in the geographic area is2Then the predicted number D of dynamic potential order recipients for the time period within the geographic areapreFor example, it may be:
Dpre＝Dh1×(2/1) (3)
as will be appreciated by those skilled in the art, DpreOther formulas can be used for calculationObtaining the congestion state of the running vehicle on a certain road or obtaining the congestion state by adopting a form of a lookup table, namely the congestion state degree of the running vehicle on a certain road corresponds to a certain congestion coefficient. In any form, as long as D is satisfiedpreThe second number K2 of potential order recipients in the geographic area may be estimated as the number of dynamic potential order recipients obtained from the road traffic congestion status of the geographic area and the number of available vehicles in motion in the area.
Alternatively, to increase the update speed of the prediction, the prediction process may be simplified, the road traffic congestion condition may be ignored, and the number of available vehicles D in the previous day of the period in the area may be used directlyh1To represent the dynamic number of available vehicles DpreThat is, in equation (3), Dpre＝Dh1To obtain a second number K2 of potential order recipients within the coarse geographic area.
According to fig. 1A, in step S130, the order supply and demand density K in the geographic area is determined according to the first quantity K1 and the second quantity K2. For example, K may be obtained by using the formula K — K1/K2, and combining equations (1) - (3) may result in:
wherein K is the supply and demand density of the order,
x is a real-time order number and represents the current vehicle demand order number received by the driver in the current time period in the geographic area;
p is a third number of potential order sponsors, which represents the number of passengers with possible riding demands in the current time period in the geographic area;
Oprethe historical order number is used for representing the historical order number of the current time period in the geographic area;
Dsa number of static potential order recipients representing a number of available vehicles for the stationary waiting passenger for the current time period within the geographic area;
Dpreto dynamically the number of potential order recipients,representing a number of available vehicles in motion for a current time period within the geographic area;
both α and β are coefficients.
According to fig. 1A, the method for notifying the order supply and demand density according to the present disclosure further includes: in step S140, a notification is sent based on the order supply and demand density K, specifically, the notification may be sent to a first user of the taxi-taking software, such as a driver, or may be sent to a second user, such as a passenger.
The notification is sent based on the order supply and demand density K, and the supply and demand density distribution of the order can be intuitively displayed to the user by presenting different colors on the map based on different order supply and demand densities K. For example, as shown in fig. 2, a schematic map of a notification sent for a method for notifying order supply and demand density according to an embodiment of the present disclosure. Different order supply and demand densities are presented in different gray-scale colors in fig. 2, for example, the smaller the K value, the smaller the order supply and demand density, which indicates that the available vehicles are sufficient in the geographic area or the order demand of the passengers is small, that is, the driver is relatively not easy to get an order in the area, and the passenger can get the vehicle in a short time if the passenger has the riding demand; the greater the value of K, the greater the density of supply and demand for the order, indicating insufficient available vehicles or strong demand for the order by the passengers in the geographic area, i.e., it is relatively easy for the driver to rob the order in the area, whereas if the passengers have a demand for a ride, it may take a longer time to get to the ride.
Alternatively, the first five regions or the first ten regions with the highest K value (i.e., the order supply and demand density) may be broadcasted in a voice form by sending a notification to the user based on the order supply and demand density K. Alternatively or additionally, three or five areas with the highest K value (i.e., the order supply and demand density) can be selected from 10 geographical areas around the geographical position of the driver for voice broadcast. Alternatively, the voice broadcast may be text push. Alternatively, both may be performed simultaneously to inform the user, primarily the potential order recipient driver, of the order supply and demand density information.
Another embodiment of the present disclosure also provides an apparatus for notifying an order of supply and demand density, including: there is provided an apparatus for notifying an order of supply and demand density, comprising: first obtaining means for obtaining a first number of potential order initiators within a geographic area; second obtaining means for obtaining a second number of potential order recipients within the geographic area; the first determining device is used for determining the supply and demand density of the orders in the geographic area according to the first quantity and the second quantity; and a transmitting device for transmitting the order supply and demand density
For clarity, a block diagram of an apparatus for notifying order supply and demand density is listed in fig. 1B, and it should be understood that each device included in the apparatus for notifying order supply and demand density shown in fig. 1B corresponds to each step included in the method for notifying order supply and demand density shown in fig. 1A. Thus, the operations and features of the method for notifying the order supply and demand density and the steps included in the method described above with reference to fig. 1A are also applicable to the apparatus for notifying the order supply and demand density and the devices included in the apparatus, and are not described in detail herein.
It should be appreciated that the apparatus for notifying the order of supply and demand density may be implemented in a variety of ways. For example, in some embodiments, it may be implemented in hardware, software, or a combination of software and hardware. Wherein the hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory for execution by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the methods and systems described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided on a carrier medium such as a disk, CD-or DVD-ROM, programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier, for example. The system and its modules of the present disclosure may be implemented not only by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but also by software executed by various types of processors, for example, and by a combination of the above hardware circuits and software (e.g., firmware).
It should be noted that although in the above detailed description several means or sub-means of the device are mentioned, this division is only exemplary and not mandatory. Indeed, according to exemplary embodiments of the present disclosure, the features and functions of two or more apparatuses described above may be embodied in one apparatus. Conversely, the features and functions of one apparatus described above may be further divided into embodiments by a plurality of apparatuses.
Reference is now made to fig. 3, which schematically illustrates a block diagram of a mobile terminal 300 for practicing the exemplary embodiments of the disclosure. According to an exemplary embodiment of the present disclosure, the mobile terminal 300 may be generally used as a device for informing the order supply and demand density.
In the example shown in fig. 3, the mobile terminal 300 is a mobile device having wireless communication capabilities. It is to be understood, however, that this is by way of illustration and not of limitation. Other types of mobile terminals, such as Portable Digital Assistants (PDAs), pagers, mobile computers, mobile televisions, gaming devices, laptop computers, cameras, video recorders, GPS devices and other types of voice and text communications systems, can readily employ embodiments of the present disclosure. Fixed mobile terminals can also readily employ embodiments of the present disclosure.
The mobile terminal 300 includes one or more antennas 311 in operable communication with a transmitter 314 and a receiver 316. The mobile terminal 300 further includes a processor 312 or other processing element that provides signals to and receives signals from a transmitter 314 and receiver 316, respectively. The signals include signaling information in accordance with the air interface standard of the applicable cellular system, and also user speech, received data and/or user generated data. In this regard, the mobile terminal 300 is capable of operating with one or more air interface standards, communication protocols, modulation types, and access types. By way of illustration, the mobile terminal 300 is capable of operating in accordance with any of a number of first, second, third and/or fourth-generation communication protocols or the like. For example, the mobile terminal 300 may be capable of operating in accordance with second-generation (G) wireless communication protocols IS-136(TDMA), GSM, and IS-95(CDMA), or third-generation (G) wireless communication protocols such as UMTS, CDMA2000, WCDMA, and TD-SCDMA, or fourth-generation (4G) wireless communication protocols, and/or the like.
It is understood that the processor 312 includes the circuitry required for implementing the functions of the mobile terminal 300. For example, the processor 312 may be comprised of a digital signal processor device, a microprocessor device, and various analog to digital converters, digital to analog converters, and other support circuits. Control and signal processing functions of the mobile terminal 300 are allocated between these devices according to their respective capabilities. The processor 312 thus may also include the functionality to convolutionally encode and interleave message and data prior to modulation and transmission. The processor 312 may additionally include an internal voice coder, and may include an internal data modem. Further, the processor 312 may include functionality to operate one or more software programs, which may be stored in memory. For example, the processor 312 may be capable of operating a connectivity program, such as a conventional Web browser. The connectivity program may then allow the mobile terminal 300 to transmit and receive Web content, such as location-based content and/or other Web page content, according to a Wireless Application Protocol (WAP), Hypertext transfer protocol (HTTP) and/or the like, for example.
The mobile terminal 300 may also comprise a user interface including, for example, an earphone or speaker 324, a ringer 322, a microphone 326, a display 328, and an input interface 331, all of which are coupled to the processor 312. The mobile terminal 300 may include a keypad 330. Keypad 330 may include conventional number keys (0-9) and associated keys (#, #), as well as other keys for operating mobile terminal 300. Alternatively, the keypad 330 may include a conventional QWERTY keypad arrangement. Keypad 330 may also include various soft keys associated with functions. The mobile terminal 300 may also include a camera module 336 for capturing still and/or moving images.
In particular, the display 328 may include a touch screen and/or a proximity screen, and the user may operate the mobile terminal 300 by directly operating the screen. At this point, the display 328 acts as both an input device and an output device. In such embodiments, the input interface 331 may be configured to receive input provided by a user on the display 328, including pointing and gesturing inputs, for example, via a conventional pen, a dedicated stylus, and/or a finger. The processor 312 may be configured to detect such input and recognize a gesture of the user.
In addition, the mobile terminal 300 may include an interface device such as a joystick or other input interface. The mobile terminal 300 also includes a battery 334, such as a vibrating battery pack, for powering various circuits that are required to operate the mobile terminal 300, as well as optionally providing mechanical vibration as a detectable output.
The mobile terminal 300 may further include a User Identity Module (UIM) 338. The UIM 338 is typically a memory device having a processor built in. The UIM 338 may comprise, for example, a Subscriber Identity Module (SIM), a Universal Integrated Circuit Card (UICC), a Universal Subscriber Identity Module (USIM), a removable user identity module (R-UIM), or the like. The UIM 338 typically stores information elements related to a mobile subscriber.
The mobile terminal 300 may also have memory. For example, the mobile terminal 300 may include volatile memory 340, such as volatile Random Access Memory (RAM) including a cache area for the temporary storage of data. The mobile terminal 300 may also include other non-volatile memory 342, which may be embedded and/or may be removable. The non-volatile memory 342 may additionally or alternatively include, for example, an EEPROM, a flash memory, and the like. The memories can store any of a number of pieces of information, and data, used by the mobile terminal 300 to implement the functions of the mobile terminal 300. For example, memories 340 and 342 may be configured to store computer program instructions for implementing the method of processing orders in real time described above in connection with FIG. 1A.
It should be understood that the block diagram of the architecture depicted in FIG. 3 is presented for purposes of illustration only and is not intended to limit the scope of the present disclosure. In some cases, certain devices may be added or subtracted as the case may be.
Referring now to FIG. 4, a block diagram of a computer system 400 used to practice exemplary embodiments of the present disclosure is schematically shown. According to an exemplary embodiment of the present disclosure, computer system 400 may generally be used as a device for notifying order supply and demand density.
As shown in fig. 4, computer system 400 may include: a CPU (central processing unit) 401, a RAM (random access memory) 402, a ROM (read only memory) 403, a bus system 404, a hard disk controller 405, a keyboard controller 406, a serial interface controller 407, a parallel interface controller 408, a display controller 409, a hard disk 410, a keyboard 411, a serial peripheral 412, a parallel peripheral 413, and a display 414. Among these devices, coupled to a system bus 404 are a CPU 401, a RAM 402, a ROM 403, a hard disk controller 405, a keyboard controller 406, a serial controller 407, a parallel controller 408, and a display controller 409. The hard disk 410 is coupled to a hard disk controller 405, the keyboard 411 is coupled to a keyboard controller 406, the serial external device 412 is coupled to a serial interface controller 407, the parallel external device 413 is coupled to a parallel interface controller 408, and the display 414 is coupled to a display controller 409. It should be understood that the block diagram of the architecture depicted in FIG. 4 is presented for purposes of illustration only and is not intended to limit the scope of the present disclosure. In some cases, certain devices may be added or subtracted as the case may be.
The present disclosure has been described with reference to certain embodiments. However, as is readily appreciated by a person skilled in the art, other embodiments than the ones disclosed above are equally possible within the scope of the disclosure, as defined by the appended claims.
Claims (14)
1. A method for notifying orders of supply and demand density, comprising:
obtaining a first number of potential order initiators within a geographic area, wherein a division of the geographic area may be dynamically changed;
obtaining a second number of potential order recipients within the geographic area, wherein obtaining the second number of potential order recipients within the geographic area comprises obtaining a number of dynamic potential order recipients within the geographic area;
determining the supply and demand density of the orders in the geographic area according to the first quantity and the second quantity; and
sending the order supply and demand density;
wherein the number of dynamic potential order recipients is determined based on the number of dynamic potential order recipients in a time period prior to a current time period, road congestion information within the geographic area in the previous time period, and current road condition information within the geographic area;
wherein obtaining a first quantity of potential order initiators within a geographic area comprises:
obtaining real-time orders, historical orders, and a third number of potential order initiators within the geographic area, wherein the third number is determined based on location information of potential order initiators obtained from a third party application; and
in response to receiving a request from a user to obtain a more detailed order supply and demand density distribution within a target geographic area including a user-specified location, the target geographic area is re-partitioned into sub-areas of smaller area to generate the more detailed order supply and demand density distribution.
2. The method of claim 1, further comprising:
the geographic area is divided on a map.
3. The method of claim 1, wherein obtaining a first number of potential order initiators within a geographic area further comprises:
determining the first quantity according to the real-time order number, the historical order number and the third quantity of the potential order initiators in the geographic area.
4. The method of claim 3, wherein the third number of potential order initiators is obtained based on a number of online users.
5. The method of claim 1, wherein obtaining a second number of potential order recipients within the geographic area further comprises:
obtaining a number of static potential order recipients within the geographic area, an
Determining the second quantity based on the number of static potential order recipients and the number of dynamic potential order recipients in the geographic area.
6. The method of claim 1, wherein sending the order supply and demand density comprises:
forming an order supply and demand distribution based on the order supply and demand density, an
And sending the order supply and demand distribution.
7. The method of claim 6, wherein sending the order supply and demand distribution comprises at least one of:
sending the order supply and demand distribution presented on the map,
sending the order supply and demand distribution in text form, an
And sending the order supply and demand distribution in a voice form.
8. An apparatus for notifying orders of supply and demand density, comprising:
first obtaining means for obtaining a first number of potential order initiators within a geographic area, wherein a division of the geographic area may be dynamically changed;
second obtaining means for obtaining a second number of potential order recipients in the geographic area, wherein the second obtaining means comprises means for obtaining a number of dynamic potential order recipients in the geographic area;
the first determining device is used for determining the supply and demand density of the orders in the geographic area according to the first quantity and the second quantity; and
the sending device is used for sending the supply and demand density of the order;
a second determining device, configured to determine the number of dynamic potential order receiving parties based on the number of dynamic potential order receiving parties in a previous time period of a current time period, road traffic congestion information in the geographic area in the previous time period, and current road condition information in the geographic area;
wherein the first acquiring means comprises:
means for obtaining a real-time order count, a historical order count, and a third number of potential order initiators within the geographic area, wherein the third number is determined based on location information of potential order initiators obtained from a third party application; and
third obtaining means for, in response to receiving a request from a user to obtain a more detailed order supply and demand density distribution within a target geographic area including a user-specified location, repartitioning the target geographic area into sub-areas of smaller area to generate the more detailed order supply and demand density distribution.
9. The apparatus of claim 8, further comprising:
dividing means for dividing the geographical area on a map.
10. The apparatus of claim 8, wherein the first obtaining means further comprises:
means for determining the first quantity based on the real-time order quantity, the historical order quantity, and a third quantity of potential order originators within the geographic area.
11. The apparatus of claim 10, further comprising:
third obtaining means for obtaining a third number of the potential order promoters based on the number of online users.
12. The apparatus of claim 8, wherein the second obtaining means further comprises:
means for obtaining a number of static potential order recipients within the geographic area, an
Means for determining the second number based on a number of static potential order recipients and a number of dynamic potential order recipients within the geographic area.
13. The apparatus of claim 8, wherein the sending means comprises:
means for forming an order supply and demand distribution based on said order supply and demand density, and
and the device is used for sending the order supply and demand distribution.
14. The apparatus of claim 13, wherein the means for sending the order supply and demand distribution comprises at least one of:
means for sending an order supply and demand distribution presented on a map,
means for sending said order supply and demand distribution in text form, and
means for transmitting said order supply and demand distribution in voice form.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202010569137.4A CN111737390A (en) | 2015-03-04 | 2015-03-04 | Method and equipment for informing order supply and demand density |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510097280.7A CN104657933A (en) | 2015-03-04 | 2015-03-04 | Method and equipment for informing order supply and demand density |
| CN202010569137.4A CN111737390A (en) | 2015-03-04 | 2015-03-04 | Method and equipment for informing order supply and demand density |
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| CN201510097280.7A Division CN104657933A (en) | 2015-02-13 | 2015-03-04 | Method and equipment for informing order supply and demand density |
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Families Citing this family (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106657199A (en) * | 2015-11-02 | 2017-05-10 | 滴滴（中国）科技有限公司 | Method for determining density of orders, terminal and server |
| CN104867065B (en) * | 2015-06-05 | 2021-07-02 | 北京嘀嘀无限科技发展有限公司 | Method and equipment for processing order |
| SG11201706602RA (en) * | 2015-02-13 | 2017-09-28 | Beijing Didi Infinity Tech And Dev Co Ltd | Methods and systems for transport capacity scheduling |
| CN104991924B (en) * | 2015-06-26 | 2018-10-09 | 百度在线网络技术（北京）有限公司 | Method and apparatus for the address for determining new supply centre |
| CN108475466B (en) * | 2016-01-27 | 2022-07-12 | 北京嘀嘀无限科技发展有限公司 | System and method for matching and displaying service requests and available vehicles |
| CN107230095A (en) * | 2016-03-24 | 2017-10-03 | 滴滴（中国）科技有限公司 | A kind of method for information display and device |
| CN107491827A (en) * | 2016-06-13 | 2017-12-19 | 滴滴（中国）科技有限公司 | A kind of vehicle resources scheduling processing method and system |
| CN107506882A (en) * | 2016-06-14 | 2017-12-22 | 滴滴（中国）科技有限公司 | A kind of order guiding processing method and server |
| CN106373387A (en) * | 2016-10-25 | 2017-02-01 | 先锋智道（北京）科技有限公司 | Vehicle scheduling, apparatus and system |
| CN109087502B (en) * | 2017-06-14 | 2020-12-08 | 北京嘀嘀无限科技发展有限公司 | Vehicle scheduling method, scheduling system and computer equipment based on order distribution |
| WO2018228110A1 (en) | 2017-06-14 | 2018-12-20 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for transport capacity scheduling |
| CN108009189A (en) * | 2017-08-16 | 2018-05-08 | 北京嘀嘀无限科技发展有限公司 | Thermodynamic chart methods of exhibiting, system, terminal and server |
| CN107767212B (en) * | 2017-09-27 | 2021-02-09 | 北京同城必应科技有限公司 | Supply-demand relation calculation method, device, server and storage medium |
| CN107944697B (en) * | 2017-11-22 | 2021-02-09 | 北京同城必应科技有限公司 | Supply and demand relationship-based heat map calculation method and system, server and medium |
| CN108830504B (en) * | 2018-06-28 | 2021-09-21 | 清华大学 | Vehicle demand prediction method, system, server and computer storage medium |
| CN111260101B (en) * | 2018-11-30 | 2022-07-08 | 北京嘀嘀无限科技发展有限公司 | Information processing method and device |
| CN111291938B (en) * | 2020-02-26 | 2022-05-24 | 上海东普信息科技有限公司 | Prompt method and device for quick delivery order |
| CN111881226A (en) * | 2020-05-21 | 2020-11-03 | 北京嘀嘀无限科技发展有限公司 | Method and system for judging passing attribute of planar area |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140011522A1 (en) * | 2012-07-03 | 2014-01-09 | Uber Technologies, Inc. | System and method for providing dynamic supply positioning for on-demand services |
| CN103985247A (en) * | 2014-04-24 | 2014-08-13 | 北京嘀嘀无限科技发展有限公司 | Taxi transport capacity scheduling system based on city taxi calling demand distribution density |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103164950A (en) * | 2011-12-12 | 2013-06-19 | 国民技术股份有限公司 | Intelligent vehicle management system and method |
| CN103578265B (en) * | 2012-07-18 | 2015-07-08 | 北京掌城科技有限公司 | Method for acquiring taxi-hailing hot spot based on taxi GPS data |
| CN103632532B (en) * | 2012-08-22 | 2015-09-30 | 北京掌城科技有限公司 | A kind of abductive approach of calling a taxi of taxi |
| CN102930716A (en) * | 2012-11-08 | 2013-02-13 | 行行互联信息技术（北京）有限公司 | Method and system for smart guide and navigation management service for urban taxies |
-
2015
- 2015-03-04 CN CN202010569137.4A patent/CN111737390A/en active Pending
- 2015-03-04 CN CN201510097280.7A patent/CN104657933A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140011522A1 (en) * | 2012-07-03 | 2014-01-09 | Uber Technologies, Inc. | System and method for providing dynamic supply positioning for on-demand services |
| CN103985247A (en) * | 2014-04-24 | 2014-08-13 | 北京嘀嘀无限科技发展有限公司 | Taxi transport capacity scheduling system based on city taxi calling demand distribution density |
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|---|---|
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