CN117112885A - Network appointment vehicle recommending method, device, computer equipment and storage medium - Google Patents
Network appointment vehicle recommending method, device, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a network appointment vehicle recommending method, a network appointment vehicle recommending device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: responding to the network vehicle calling instruction, and acquiring vehicle position information of the idle state network vehicle; according to vehicle position information and searching radius carried by the network vehicle calling instruction, constructing and obtaining a network vehicle searching range; screening the idle state network about vehicles according to the network about vehicle searching range and the vehicle position information to determine a plurality of candidate network about vehicles; calculating a plurality of vehicle using distances according to a plurality of candidate position information corresponding to the plurality of candidate network vehicle and vehicle position information; and constructing and obtaining a network about car recommendation sequence according to the plurality of car using distances, and carrying out visual pushing on the network about car recommendation sequence. The method can provide the network about car selection for the customer more intuitively and clearly, the customer can select the network about car with a closer distance according to the recommendation of the network about car sequence to finish the network about car service, and the efficiency of the network about car service is improved.
Description
Technical Field
The application relates to the technical field of Internet of things, in particular to a network taxi recommending method, a network taxi recommending device, computer equipment, a storage medium and a computer program product.
Background
The internet about car is a novel travel mode, and the background generated by the internet about car is related to popularization of the internet and mobile internet technology. Along with popularization of mobile terminal equipment such as smart phones, people can carry out car reservation or car calling at any time and any place through Application software (App) carried by the smart mobile terminal, and the network car reservation service is more convenient and efficient compared with a traditional car taking mode, and has outstanding advantages compared with the traditional car taking mode.
In order to further consolidate the convenient and efficient service advantages of the network vehicle-booking, a considerable amount of traditional technical schemes propose a mode or a method for improving the efficiency of the network vehicle-booking service and reducing the waiting time of customers. However, although the conventional technical scheme has effectively improved the efficiency of the network taxi service, there are still some problems and limitations. For example, during off-peak or non-congested road conditions, when a customer performs a vehicle reservation or a vehicle call, the order of the network reservation vehicle is usually only arranged and scheduled by a background order queue, and the order may be automatically allocated to a far available vehicle for the customer, which requires the customer to wait for a long time, resulting in lower service efficiency of the network reservation vehicle.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a network taxi recommendation method, apparatus, computer device, computer readable storage medium and computer program product with higher service efficiency.
In a first aspect, the application provides a network taxi recommendation method. The method comprises the following steps:
responding to the network vehicle calling instruction, and acquiring vehicle position information of the idle state network vehicle;
according to the vehicle position information and the searching radius carried by the network vehicle-restraining calling instruction, constructing and obtaining a network vehicle-restraining searching range;
screening the idle state network about vehicles according to the network about vehicle searching range and the vehicle position information to determine a plurality of candidate network about vehicles;
calculating a plurality of vehicle using distances according to a plurality of candidate position information corresponding to the plurality of candidate network vehicle and the vehicle position information;
and constructing and obtaining a network about car recommendation sequence according to the plurality of car using distances, and visually pushing the network about car recommendation sequence.
In one embodiment, the network about vehicle recommendation method further includes:
acquiring destination position information corresponding to the occupied state network vehicle;
according to the destination position information and the current position information corresponding to the occupied state network vehicle, calculating to obtain a destination distance;
If the destination distance is not greater than the preset response distance, calculating a waiting distance according to the destination distance, the destination position information and the vehicle position information;
and adding the occupied state network about car and the waiting distance corresponding to the occupied state network about car to a network about car recommending sequence.
In one embodiment, the network about vehicle recommendation method further includes:
if all the network vehicle recommendation sequences are occupied network vehicle, extracting the shortest distance from the waiting distance corresponding to the occupied network vehicle;
acquiring the vehicle running speed of the network vehicle in the shortest distance corresponding to the occupied state;
calculating to obtain the shortest waiting time according to the running speed of the vehicle and the shortest distance;
and visually pushing the shortest waiting time.
In one embodiment, the network about vehicle recommendation method further includes:
responding to the state change instruction, and updating state information corresponding to the candidate network vehicle;
and if the updated state information is the occupied state, removing the candidate network appointment vehicle corresponding to the updated state information from the network appointment vehicle recommendation sequence.
In one embodiment, before the updating of the state information corresponding to the candidate network taxi in response to the state change instruction, the method further includes:
Acquiring reservation state order information corresponding to the candidate network about car;
and if the current time falls into the reserved time interval corresponding to the reserved state order information, generating a state change instruction.
In one embodiment, in response to a network vehicle calling instruction, the process of acquiring the vehicle position information of the network vehicle includes:
acquiring position information of a plurality of base stations accessed by a vehicle-mounted terminal in a network vehicle and signal transmission time between the vehicle-mounted terminal and the plurality of base stations in the network vehicle;
and calculating the vehicle position information of the network vehicle according to the plurality of base station position information and the signal transmission time.
In a second aspect, the application further provides a network about car recommendation device. The device comprises:
the vehicle position acquisition module is used for responding to the network vehicle calling instruction and acquiring the vehicle position information of the idle state network vehicle;
the searching range construction module is used for constructing and obtaining a network taxi searching range according to taxi position information carried by the network taxi calling instruction and the searching radius;
the candidate vehicle screening module is used for screening the idle state network about vehicles according to the network about vehicle searching range and the vehicle position information to obtain a plurality of candidate network about vehicles;
The vehicle distance calculation module is used for calculating a plurality of vehicle distances according to a plurality of candidate position information corresponding to the plurality of candidate network vehicle and the vehicle position information;
and the recommended sequence output module is used for constructing and obtaining a network about car recommended sequence according to the plurality of car using distances and pushing the network about car recommended sequence.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
responding to the network vehicle calling instruction, and acquiring vehicle position information of the idle state network vehicle;
according to the vehicle position information and the searching radius carried by the network vehicle-restraining calling instruction, constructing and obtaining a network vehicle-restraining searching range;
screening the idle state network about vehicles according to the network about vehicle searching range and the vehicle position information to determine a plurality of candidate network about vehicles;
calculating a plurality of vehicle using distances according to a plurality of candidate position information corresponding to the plurality of candidate network vehicle and the vehicle position information;
and constructing and obtaining a network about car recommendation sequence according to the plurality of car using distances, and visually pushing the network about car recommendation sequence.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
responding to the network vehicle calling instruction, and acquiring vehicle position information of the idle state network vehicle;
according to the vehicle position information and the searching radius carried by the network vehicle-restraining calling instruction, constructing and obtaining a network vehicle-restraining searching range;
screening the idle state network about vehicles according to the network about vehicle searching range and the vehicle position information to determine a plurality of candidate network about vehicles;
calculating a plurality of vehicle using distances according to a plurality of candidate position information corresponding to the plurality of candidate network vehicle and the vehicle position information;
and constructing and obtaining a network about car recommendation sequence according to the plurality of car using distances, and visually pushing the network about car recommendation sequence.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
responding to the network vehicle calling instruction, and acquiring vehicle position information of the idle state network vehicle;
According to the vehicle position information and the searching radius carried by the network vehicle-restraining calling instruction, constructing and obtaining a network vehicle-restraining searching range;
screening the idle state network about vehicles according to the network about vehicle searching range and the vehicle position information to determine a plurality of candidate network about vehicles;
calculating a plurality of vehicle using distances according to a plurality of candidate position information corresponding to the plurality of candidate network vehicle and the vehicle position information;
and constructing and obtaining a network about car recommendation sequence according to the plurality of car using distances, and visually pushing the network about car recommendation sequence.
The application provides a network about car recommending method, a network about car recommending device, a computer device, a storage medium and a computer program product; the method is based on vehicle position information carried in the network vehicle calling instruction and the searching radius of the network vehicle, so that the network vehicle searching range is obtained; screening the network appointment vehicles in the idle state in the network appointment vehicle searching range according to the position information of the network appointment vehicles, and determining schedulable candidate network appointment vehicles; the method screens the network about cars by constructing the search range, so that the network about cars far away from the car position are removed, the problem that customers need to wait for a long time due to dispatching the network about cars far away is avoided, and the service efficiency of the network about cars is improved; in addition, after screening and obtaining the candidate network vehicle, the method calculates and obtains the vehicle using distance according to the vehicle using position information and the candidate position information corresponding to the candidate network vehicle, and pushes the vehicle using distance through a network vehicle recommending sequence mode, the network vehicle recommending sequence can provide network vehicle selecting for customers more intuitively and clearly in a visual interface, and the customers can select network vehicles with closer distance according to the recommendation of the network vehicle recommending sequence to complete network vehicle service, so that the efficiency of the network vehicle service is further improved.
Drawings
FIG. 1 is an application environment diagram of a network about vehicle recommendation method in one embodiment;
FIG. 2 is a flow chart of a method for recommending a network appointment in one embodiment;
FIG. 3 is a flow chart illustrating sub-steps of the network taxi recommendation sequence expansion in one embodiment;
FIG. 4 is a flowchart of another embodiment of a method for recommending a network appointment;
FIG. 5 is a block diagram of a network taxi recommending device according to an embodiment;
fig. 6 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The network taxi recommending method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. The vehicle-mounted terminal 102 is disposed on the network vehicle, and a subscriber identity module (Subscriber Identity Module, SIM) card is loaded in the vehicle-mounted terminal 102, and the SIM card can be used for positioning the vehicle-mounted terminal (i.e. the network vehicle), and can be associated and bound with a driver of the network vehicle through the card number of the SIM card. The in-vehicle terminal 102 can communicate with the server 104 via a network, and the mobile terminal 106 can also communicate with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. In the application environment, a client of the network taxi service APP is running in the mobile terminal 106, and in response to a network taxi order generated after the target object performs interactive operation on the interactive interface of the client, the mobile terminal 106 sends a network taxi call instruction formed according to the network taxi order to the background of the network taxi APP, that is, the server 104. After receiving the network taxi calling instruction, the server 104 initiates request information of vehicle position information to all the vehicle-mounted terminals 102 accessed to the server 104 according to the network taxi information stored in the server 104 in advance, such as the SIM card number of the vehicle-mounted terminals of the network taxi, and the vehicle-mounted terminals 102 respond to the request information and upload the current position information to the server 104 so as to acquire the vehicle position information of all the network taxi. The server 104 also analyzes the call instruction based on the network appointment vehicle to obtain the vehicle position information selected by the target object in the network appointment vehicle service order and the selected search radius while collecting and arranging the vehicle position information of the network appointment vehicle; the server 104 uses the vehicle position information as a range center, constructs a network vehicle searching range according to the searching radius, and screens available network vehicles, namely, idle network vehicles according to the searching range and the vehicle position information of the network vehicle to determine candidate network vehicles. After obtaining the plurality of candidate network about cars, the server 104 calculates a car utilization distance between each candidate network about car and a car utilization position in the network about car service order according to the candidate position information corresponding to the candidate network about car. And finally, the server sorts the vehicle distances of the plurality of candidate network vehicle-about to form a network vehicle-about recommended sequence, and pushes the network vehicle-about recommended sequence to the mobile terminal 106 to be displayed in a visual interaction interface of the mobile terminal 106. The target object may select a specific network taxi to complete the network taxi service by means of a touch confirmation in the visual interactive interface of the mobile terminal 106. In this application environment, the mobile terminal 106 may be, but is not limited to, various personal computers, notebook computers, smartphones, tablet computers, and portable wearable devices, which may be smart watches, smart bracelets, headsets, etc. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In one embodiment, as shown in fig. 2, a network taxi recommending method is provided, and the method is applied to the server 104 in fig. 1 for illustration, and includes the following steps:
step 202, acquiring vehicle position information of the idle state network taxi in response to the network taxi calling instruction.
The network taxi calling instruction is an instruction triggered based on the network taxi service order after the target object creates the network taxi service order at the mobile terminal. The idle state network taxi order refers to a state in which no network taxi order is currently taken, and the vehicle is normally driven to carry passengers. In an embodiment, the vehicle location information is used to describe the current location of the network vehicle, and the generation of the vehicle location information includes, but is not limited to, global positioning system (Global Positioning System, GPS) location, base station location, bluetooth beacon location, and the like.
Exemplary, a scenario in which a target object takes a car through a network taxi service function provided in a certain financial software is taken as an example; the target object creates and obtains a new network taxi service order through the interactive operation interface of the software client, and after the order is created, the client forms a corresponding network taxi calling instruction according to the related description information about the order service in the network taxi service order and sends the corresponding network taxi calling instruction to a software background corresponding to the network taxi service function. After receiving the network taxi calling instruction, the software background loaded in the server needs to respond to the network taxi calling instruction, and firstly, the server needs to acquire network taxi information stored in the software background in advance, wherein the network taxi information can realize unique description of the network taxi, and the information content comprises but is not limited to: license plate information, vehicle brand, vehicle model, vehicle color, registration location, driver information associated with the vehicle, and the like. Based on the network about car information, the server initiates a position information request to all the car-mounted terminals of the network about car, and in response to the request, the car-mounted terminals of the network about car generate the current car position information of the network about car and return the car position information to the server. After receiving the vehicle position information of a plurality of network about vehicles, the server sorts and aligns the information content of the network about vehicles, and then screens the network about vehicles according to the limiting conditions formed by the network about vehicle calling instruction to obtain the optimal network about vehicles to push to the target object. More specifically, in an embodiment, the vehicle-mounted terminal of the vehicle may be equipped with a SIM card, through which network connection positioning of the network-bound vehicle may be achieved. In addition, for the vehicle position information with huge data volume and needing to be updated in real time, the server in the embodiment can construct a corresponding cache area to update and call the vehicle position information of all the network vehicles in real time.
And 204, constructing and obtaining the network taxi searching range according to the taxi position information and the searching radius carried by the network taxi calling instruction.
The vehicle position information refers to position information of a starting place describing a passenger journey in the network taxi service order. In this embodiment, the search radius refers to the radius of the search net taxi service area set in the net taxi service order.
Taking a scene of taking a taxi taking service function in map software as an example, in the process that the server in the embodiment receives a taxi calling instruction sent by the client and responds to the instruction, on one hand, the server needs to collect vehicle position information of all taxi taking services. On the other hand, the server needs to analyze the network taxi calling instruction, and obtain the related requirements and the limit information of the target object for the current network taxi service order. In the embodiment, the server needs to extract specific passenger boarding places, namely, the information of the boarding places from the network contract calling instruction. Further, in this embodiment, when the target object creates the network taxi service order, the vehicle use range may be appropriately constrained and limited, and in this embodiment, the limiting manner is that a search radius is set, so that the server constructs a corresponding search range according to the search radius, and the search range screens the network taxi in an idle state. For example, a customer creates a network order for a network about car service network via a mobile terminal and constrains a search radius to be 2km in the order. After receiving the network vehicle calling instruction corresponding to the network vehicle order, the server determines the travel starting point set in the order, namely the vehicle position information and the searching radius of 2km through analyzing the instruction, constructs the searching range of the network vehicle by taking the travel starting point as the circle center of the searching range and taking 2km as the radius, and performs the next screening of the network vehicle in an idle state based on the searching range.
And step 206, screening the idle state network about vehicles according to the network about vehicle searching range and the vehicle position information to determine a plurality of candidate network about vehicles.
The candidate network about cars fall into the network about car searching range constructed in the previous step and keep the idle state; in an embodiment, the candidate network about vehicles can be identified in a label labeling mode, so that the relevant information of the candidate network about vehicles can be conveniently and conveniently called. In the embodiment, the method for screening the network about vehicles in the idle state is to judge the vehicle position information of the network about vehicles in the idle state through the network about vehicle searching range constructed in the previous step, and when the current position of the vehicle described by the vehicle position information falls into the network about vehicle searching range, the network about vehicles in the idle state are marked as candidate network about vehicles.
Illustratively, in an embodiment, after the server obtains the network about vehicle searching range through the preamble processing construction, vehicle position information of all idle network about vehicles is obtained from the buffer space of the server. It should be noted that, in the embodiment, in order to improve the response efficiency of the server; when a network taxi calling instruction from the mobile terminal is received, rough geographical location attribution can be confirmed according to the current position information of the mobile terminal or the taxi position information carried in the calling instruction, and after the geographical location is confirmed, the server can acquire relevant information from all idle network taxi in the geographical location, so that the data processing amount is reduced, and the response speed is improved. After the primary screening of the geographic location is completed, the server further constructs a network about car searching range according to the searching radius carried in the network about car calling instruction, and screens to obtain candidate network about cars based on the network about car searching range. For example, in the embodiment, a vehicle position information bit a road B intersection set by a passenger sets a network about vehicle searching radius of 3km. After acquiring a network taxi calling instruction corresponding to the taxi taking network taxi order, the server analyzes and obtains vehicle position information, searching radius and other information, and constructs a circular network taxi searching range by taking the road A and the road B as a center point and taking 3km as a radius. Meanwhile, the server extracts all the network appointment vehicles in the idle state in the geographical area according to the geographical area where the road A and the road B belong to, further obtains the vehicle position information of the network appointment vehicles, and calculates the current position of the network appointment vehicles in the idle state. Then, the server calculates the linear distance between the current position of the idle state network vehicle and the intersection A and the intersection B, and if the linear distance is smaller than 3km, the idle state network vehicle is marked as a candidate network vehicle; otherwise, the idle state network taxi taking is not processed.
Step 208, calculating a plurality of vehicle distances according to the plurality of candidate position information corresponding to the plurality of candidate network vehicle information and the vehicle position information.
Wherein the candidate location information is used to describe the current location of the vehicle marked as a candidate net appointment. In the embodiment, candidate position information, vehicle position information and vehicle position information are all described on the current position of a specific target object, and there are differences between the description object and the stage where the object is located, so in the embodiment, all kinds of position information should belong to the same data content with consistent data format in the same geographic position information system. The distance used in an embodiment is a description between the current location of the vehicle and the vehicle location to the candidate net restraint vehicle. It should be noted that, in the embodiment, the vehicle distance is a distance between two positions calculated according to road planning, and in the process of screening the network vehicle in the idle state through the network vehicle searching range, the calculated distance between the network vehicle and the vehicle location is a straight line distance between two points; the following embodiments may exist: among candidate net bought cars obtained by screening through the net bought car search range, there are cases where the distance of distance may be larger than the search radius. Further, in the embodiment, the distance calculation mode may be adjusted to make the two distance calculation modes consistent, for example, the set search radius and the driving distance are both calculated distance according to the road planning.
In an exemplary embodiment, after determining a candidate network about car meeting the network about car order service requirement through screening of the network about car searching range, the server extracts position information corresponding to the candidate network about car from the position information of a plurality of idle network about cars through a label screening mode, and records the position information as the candidate position information. Under the condition that the position information of the candidate network about vehicles and the vehicle position information are determined, the server calculates and obtains the distance between the two positions according to urban road planning information and real-time congestion information of roads, which are stored in the server in advance.
And 210, constructing and obtaining a network about car recommendation sequence according to the plurality of car distances, and visually pushing the network about car recommendation sequence.
In the embodiment, a plurality of candidate network about cars may be obtained after screening through the network about car searching range, and the car using distances corresponding to the plurality of candidate network about cars are calculated; and sequencing the plurality of vehicle using distances according to a preset sequencing mode to obtain a sequence, namely the network taxi recommendation sequence. In the embodiment, the candidate network about vehicles are strongly related to the corresponding vehicle distance, so that in the network about vehicle recommendation sequence in the embodiment, each vehicle distance is associated with one candidate network about vehicle, and other related information of the candidate network about vehicle, such as license plate information, vehicle appearance information, vehicle associated driver information and the like, can be displayed through the association relation.
In an exemplary embodiment, after calculating the vehicle distance corresponding to all the candidate network taxi cabable for the target object to select, the server constructs a network taxi cabable recommendation sequence according to the ascending distance arrangement mode, and the server returns the recommendation sequence to the mobile terminal initiating the network taxi cabable call instruction, and the visual output is performed on the interactive operation interface of the mobile terminal. In the visually output network about car recommendation sequence, the network about car recommendation sequence is displayed in a mode of associating the candidate network about car with the car distance, for example: the first two items in the recommendation list are: candidate net about vehicle 1, license plate number, white vehicle of certain brand, current distance is 1.7km; candidate net about car 2, license plate number, black certain brand of car, current distance is 1.9km. Further, the target object selects a specific network taxi through clicking operation, the server receives a corresponding selected instruction, order information is synchronized into the vehicle-mounted terminal of the network taxi, and allocation of the network taxi service order is completed.
According to the network about car recommending method provided by the application, the network about car searching range is constructed based on car position information carried in the network about car calling instruction and the searching radius of the network about car; screening the network appointment vehicles in the idle state in the network appointment vehicle searching range according to the position information of the network appointment vehicles, and determining schedulable candidate network appointment vehicles; the method screens the network about cars by constructing the search range, so that the network about cars far away from the car position are removed, the problem that customers need to wait for a long time due to dispatching the network about cars far away is avoided, and the service efficiency of the network about cars is improved; in addition, after screening and obtaining the candidate network vehicle, the method calculates and obtains the vehicle using distance according to the vehicle using position information and the candidate position information corresponding to the candidate network vehicle, and pushes the vehicle using distance through a network vehicle recommending sequence mode, the network vehicle recommending sequence can provide network vehicle selecting for customers more intuitively and clearly in a visual interface, and the customers can select network vehicles with closer distance according to the recommendation of the network vehicle recommending sequence to complete network vehicle service, so that the efficiency of the network vehicle service is further improved.
In order to improve the service efficiency of the network taxi, in an embodiment, as shown in fig. 3, the network taxi recommendation method may further include the following steps:
step 302, destination location information corresponding to the occupied state network vehicle is obtained.
The occupied state network about vehicle refers to a network about vehicle with an unfinished order. It should be noted that, in order to reduce the waiting time of the target object, in some implementation scenarios, the occupied state network about vehicle only includes the network about vehicle that is executing the order task, but the order task is not yet completed; network booking vehicles which do not include the target travel of accepting a new network booking vehicle service order but do not begin the order; the target journey refers to a journey formed by a boarding place and a destination place of a passenger. The destination location information in the embodiment is a destination point or a delivery point specified for the target object in the network about vehicle service order.
In an exemplary embodiment, in the process of acquiring the vehicle position information of the idle state network appointment vehicle according to the geographic location in response to the network appointment vehicle calling instruction, the position information of the occupied state network appointment vehicle which is executing the order task may be synchronously acquired. When acquiring the position information of the network about car in the occupied state, necessary condition screening is needed, namely, the network about car receiving the network about car service order is removed, but the network about car receiving the passenger or not starting the target journey in the network about car order is not received at present. Aiming at the rest occupation state network vehicle-closing after screening, the server acquires the order information currently being executed by the server to obtain the destination of the target journey.
And step 304, calculating to obtain the destination distance according to the destination position information and the current position information corresponding to the occupied state network vehicle.
The destination distance is used for describing the distance between the current position of the network about car and the destination in the order when the network about car service order is executed.
For example, after the screening and the extraction processing of the destination location information in the foregoing steps, the server will further determine the current location information of the vehicle according to the response information of the vehicle-mounted terminal of the occupancy status network contract from the request for acquiring the location information initiated by the screened occupancy status network gateway. Based on the current position information and the information of the destination position extracted in the previous step, the distance between the current position of the network about car and the destination position in the order is calculated and obtained based on road planning.
And 306, if the destination distance is not greater than the preset response distance, calculating to obtain the waiting distance according to the destination distance, the destination position information and the vehicle position information.
The response distance is a constraint distance which is written in a background program when the background of the network taxi service APP is constructed, and is used for limiting the network taxi in an occupied state to accept a new network taxi order under the condition that the last network taxi service order is completed. Embodiments set the response distance in a manner that avoids the need for long waiting times for customers to prematurely access new orders while the network appointment vehicle driver is executing an incomplete network appointment vehicle service order. The waiting distance in the embodiment is used to describe the total distance between the places where the occupied state is between the current network appointment vehicle order and the vehicle to the next network appointment vehicle order after the current network appointment vehicle order is completed, i.e. the distance that the customer needs to wait for the next network appointment vehicle service order.
For example, after the destination distance from the order destination to the network vehicle in the occupied state is calculated preliminarily, the server starts the network vehicle screening in the occupied state according to the preset response distance. For example, if the response distance set in the embodiment is 1km, the network-bound vehicle in the occupied state, and the destination distance of the corresponding unfinished order is not greater than 1km, the network-bound vehicle in the occupied state is confirmed, and the network-bound vehicle can be used as an alternative to the new network-bound vehicle service order. Further, the server extracts the vehicle position set in the new network vehicle service order and the destination position of the unfinished order of the occupied state network vehicle, calculates the distance between the two positions, and sums the distance with the destination distance in the unfinished order to obtain the waiting distance of the final customer.
And step 308, adding the occupied state network about vehicles and the waiting distance corresponding to the occupied state network about vehicles to the network about vehicle recommendation sequence.
For example, in the embodiment, for the network about car in the occupied state meeting the response distance, after the corresponding waiting distance is calculated, the waiting distance is added to the network about car recommendation sequence as an alternative option for selecting a target object. The method comprises the steps that an occupied state network vehicle-closing alternative item added in a network vehicle-closing recommendation sequence is visually displayed on distance data which corresponds to the occupied state network vehicle-closing item and needs to be waited; similarly, in the embodiment, the related information of the occupied state network vehicle can be visually displayed, including but not limited to license plate information, vehicle appearance information and the like.
Step 310, visually pushing the network about car recommendation sequence added with the occupied state network about car.
For example, in the embodiment, an alternative occupancy state network vehicle-to-network vehicle recommendation sequence is added, and when the network vehicle recommendation sequence is visually pushed, more network vehicle choices can be provided for the target object so as to cope with the network vehicle service requirement in a complex scene. For example, after a customer creates a network about service order, the background of the network about service screens all network about vehicles according to the vehicle position information and the search radius determined in the order to obtain a network about vehicle recommendation sequence, wherein the network about vehicle recommendation sequence comprises an idle network about vehicle with a distance of 3km and a network about vehicle with a distance of 1.2km, and the network about vehicle is about to complete the last network about vehicle service order.
In the embodiment, more feasible choices are provided for the target object by reasonably scheduling the resources of the network taxi taking in the occupied state of the previous order to be completed, and the service experience of the network taxi taking is also improved for colleagues who improve the service efficiency of the network taxi taking.
In one embodiment, the network taxi recommendation method may further include the steps of:
And step one, if all the network vehicle-restraining recommended sequences are occupied network vehicle-restraining, extracting the shortest distance from the waiting distance corresponding to the occupied network vehicle-restraining.
And step two, acquiring the vehicle running speed of the network vehicle with the shortest distance corresponding to the occupied state.
And thirdly, calculating the shortest waiting time according to the running speed of the vehicle and the shortest distance.
And step four, carrying out visual pushing on the shortest waiting time.
In a possible implementation scenario, there may be no network-bound vehicles in any idle state within the range after screening by the network-bound vehicle search range due to traffic congestion, and only a few network-bound vehicles in occupied states are found, and the searched network-bound vehicles in few occupied states are able to satisfy the response distance, as an alternative, appear in the network-bound vehicle recommendation sequence. For the foregoing situation, the server in the embodiment will integrate multiple waiting distances of all occupied state network about cars; and extracting distance data with the shortest distance from the plurality of waiting distances, and recording the shortest distance data as the shortest distance. The server obtains the current running speed of the network vehicle corresponding to the shortest distance and the shortest waiting time based on the running speed and the shortest distance. Finally, the server visually pushes the waiting time so that the target object can more directly and clearly learn the waiting time required by the network taxi service of the current taxi position.
In one embodiment, the network taxi recommendation method may further include the steps of:
step one, in response to a state change instruction, updating state information corresponding to the candidate network taxi.
And step two, if the updated state information is the occupied state, removing the candidate network taxi corresponding to the updated state information from the network taxi recommendation sequence.
The status information of the network about the vehicle may include, but is not limited to, idle, occupied, off-line, and emergency status, among others. The state change instruction is an instruction triggered by the vehicle-mounted terminal according to an operation instruction of a driver, and is used for changing the state of the network bus.
In an exemplary embodiment, a network appointment vehicle driver logs in to a vehicle-mounted terminal of a current network appointment vehicle after getting on the vehicle and binds with the network appointment vehicle. After binding is completed, the background of the network vehicle service APP acquires the number and order receiving information of a network vehicle driver, and when the driver does not receive an order currently, the vehicle-mounted terminal inquires whether a vehicle display screen is set to be in an idle state; if the driver clicks the confirmation, the display screen is set to be in an idle state, and if the driver refuses, the shutdown state of the network bus is maintained. In an embodiment, the netpage vehicle driver may also switch the netbook vehicle to an emergency state for the emergency. For another example, when there is a pregnant woman in the car, the driver can switch the car state to the emergency state at the interactive operation interface of the car-mounted terminal, the internet-based car service APP background can directly give an alarm for help and synchronize the emergency state to other internet-based cars nearby so as to seek help of other internet-based cars.
In one embodiment, before updating the state information corresponding to the candidate network taxi in response to the state change instruction, the method further includes the following steps:
step one, reservation state order information corresponding to the candidate network about car is obtained.
And step two, if the current time falls into a reserved time interval corresponding to the reserved state order information, generating a state change instruction.
In an exemplary embodiment, a customer may create a reservation order for a network appointment via a mobile terminal, and the reservation order is forwarded to all on-board terminals of the network appointment via the network appointment service APP. The vehicle-mounted terminal of the network appointment vehicle receives or refuses the appointment order by acquiring the touch action of the driver in the interactive operation interface. If the command is received according to the touch action in the interactive operation interface, the server correlates the reserved order with the information of the current network about car and records the correlated order information and the network about car information. And the server sends reminding information to the vehicle-mounted terminal and switches the vehicle state information of the current network appointment to an occupied state.
In one embodiment, the process of obtaining vehicle location information of a network about vehicle in response to a network about vehicle call instruction in the method may include the steps of:
Step one, acquiring position information of a plurality of base stations accessed by a vehicle-mounted terminal in a network about car and signal transmission time between the vehicle-mounted terminal in the network about car and the plurality of base stations.
And step two, calculating the vehicle position information of the network vehicle according to the position information of the plurality of base stations and the signal transmission time.
Since the SIM card can be mounted in the vehicle-mounted terminal in the embodiment, the SIM card can be used for networking positioning, in the embodiment, the location information of the network about vehicle can be determined by means of base station positioning. In the embodiment, the base station positioning mode is that the mobile communication terminal of the vehicle sends signals to the base stations, and the position range of the vehicle is determined through the delay of signal transmission among a plurality of base stations.
Illustratively, a plurality of base stations are provided in the mobile communication network, each base station having its own specific signal range, the closer the distance between the in-vehicle terminal and the base station, the better the signal quality. Therefore, when the in-vehicle terminal is connected to a plurality of base stations, the positions of the signal transmission time differential devices between the base stations, and the positions of the vehicles that may be closely related, can be utilized. More specifically, when the vehicle-mounted terminal sends a request signal to the base station, the base station records information such as time, frequency, signal strength and the like of the signal. Then, the vehicle-mounted terminal is connected with a plurality of base stations and receives signals, and then the information is uploaded to a server, and the server calculates the position of the vehicle-mounted terminal, namely the current position of the network vehicle through a triangulation algorithm.
In combination with fig. 4 of the specification and a specific implementation scenario of the network taxi service, the network taxi recommending method provided by the application is clearly and specifically described as follows:
the financial transaction platform APP is provided with a network taxi service function, a customer of the financial transaction platform can call the network taxi service through a mobile terminal application program, vehicle position information and a search radius are provided, a network taxi service background constructs a network taxi search range according to information provided by the customer, and vehicle position information of an idle network taxi is obtained. The network about car service background adopts an intelligent algorithm to screen the network about car in an idle state, and simultaneously takes various factors such as vehicle quality, service quality and the like into consideration to screen a plurality of candidate network about cars. Further, the network about car service background calculates the distance between each candidate network about car and the car position of the customer, and constructs a network about car recommendation sequence, and carries out visual pushing on the network about car recommendation sequence. In the process, the system detects other occupied state network vehicles, acquires corresponding destination position information of the other occupied state network vehicles, and calculates the destination distance according to the information and the current position information of the occupied state network vehicles. If the destination distance is not greater than the preset response distance, the system calculates the waiting distance according to the destination distance, the destination position information and the vehicle position information, and adds the occupied state network vehicle and the corresponding waiting distance into the network vehicle recommendation sequence. And finally, the server backstage sequences the network about car recommendation sequences, and the network about cars closest to the customer and meeting the customer requirements are recommended to the customer.
It should be understood that, although the steps in the flowcharts related to the above embodiments are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a network appointment vehicle recommending device for realizing the network appointment vehicle recommending method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the network vehicle recommendation device or devices provided below may refer to the limitation of the network vehicle recommendation method hereinabove, and will not be repeated herein.
In one embodiment, as shown in fig. 5, there is provided a net appointment vehicle recommendation device 500, comprising: a vehicle position acquisition module 501, a search range construction module 502, a candidate vehicle screening module 503, a vehicle distance calculation module 504, and a recommended sequence output module 505, wherein:
the vehicle position obtaining module 501 is configured to obtain vehicle position information of an idle state network vehicle in response to a network vehicle calling instruction.
The search range construction module 502 is configured to construct a network vehicle search range according to the vehicle position information and the search radius carried by the network vehicle calling instruction.
The candidate vehicle screening module 503 is configured to screen the idle state network vehicle according to the network vehicle searching range and the vehicle position information, and determine a plurality of candidate network vehicles.
The vehicle distance calculating module 504 is configured to calculate a plurality of vehicle distances according to a plurality of candidate position information corresponding to the plurality of candidate network vehicles and the vehicle position information.
The recommended sequence output module 505 is configured to construct a network about car recommended sequence according to the plurality of car distances, and visually push the network about car recommended sequence.
In one embodiment, the apparatus further comprises an occupancy vehicle candidate module capable of acquiring destination location information corresponding to an occupancy state network vehicle; according to the destination position information and the current position information corresponding to the occupied state network vehicle, calculating to obtain a destination distance; if the destination distance is not greater than the preset response distance, calculating to obtain a waiting distance according to the destination distance, the destination position information and the vehicle position information; and adding the occupied state network about vehicles and the waiting distance corresponding to the occupied state network about vehicles to the network about vehicle recommendation sequence.
In one embodiment, the occupied vehicle candidate module in the device is further capable of extracting the shortest distance from the waiting distance corresponding to the occupied state network about vehicle when all the network about vehicles in the network about vehicle recommendation sequence are occupied state network about vehicles; acquiring the vehicle running speed of the network vehicle with the shortest distance corresponding to the occupied state; calculating to obtain the shortest waiting time according to the running speed of the vehicle and the shortest distance; the shortest waiting time is visually pushed.
In one embodiment, the device further comprises a state active changing module, wherein the state active changing module responds to a state changing instruction to update state information corresponding to the candidate network taxi; and if the updated state information is the occupied state, removing the candidate network appointment vehicle corresponding to the updated state information from the network appointment vehicle recommendation sequence.
In one embodiment, the state active change module in the device can also obtain reservation state order information corresponding to the candidate network appointment vehicles; and if the current time falls into the reserved time interval corresponding to the reserved state order information, generating a state change instruction.
In one embodiment, the vehicle position obtaining module 501 in the device can obtain the position information of a plurality of base stations accessed by the vehicle-mounted terminal in the network about vehicle and the signal transmission time between the vehicle-mounted terminal and the plurality of base stations in the network about vehicle; and calculating the vehicle position information of the network vehicle according to the position information of the plurality of base stations and the signal transmission time.
The various modules in the network taxi recommendation device described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer equipment is used for storing network about car related data ， The data includes, but is not limited to, location information of the network about vehicle, license plate information, appearance information, and the like. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor implements a network contract vehicle recommendation method.
It will be appreciated by those skilled in the art that the structure shown in FIG. 6 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (10)
1. A network appointment recommendation method, the method comprising:
responding to the network vehicle calling instruction, and acquiring vehicle position information of the idle state network vehicle;
according to the vehicle position information and the searching radius carried by the network vehicle-restraining calling instruction, constructing and obtaining a network vehicle-restraining searching range;
screening the idle state network about vehicles according to the network about vehicle searching range and the vehicle position information to determine a plurality of candidate network about vehicles;
Calculating a plurality of vehicle using distances according to a plurality of candidate position information corresponding to the plurality of candidate network vehicle and the vehicle position information;
and constructing and obtaining a network about car recommendation sequence according to the plurality of car using distances, and visually pushing the network about car recommendation sequence.
2. The method as recited in claim 1, further comprising:
acquiring destination position information corresponding to the occupied state network vehicle;
according to the destination position information and the current position information corresponding to the occupied state network vehicle, calculating to obtain a destination distance;
if the destination distance is not greater than the preset response distance, calculating a waiting distance according to the destination distance, the destination position information and the vehicle position information;
and adding the occupied state network about car and the waiting distance corresponding to the occupied state network about car to a network about car recommending sequence.
3. The method as recited in claim 2, further comprising:
if all the network vehicle recommendation sequences are occupied network vehicle, extracting the shortest distance from the waiting distance corresponding to the occupied network vehicle;
acquiring the vehicle running speed of the network vehicle in the shortest distance corresponding to the occupied state;
Calculating to obtain the shortest waiting time according to the running speed of the vehicle and the shortest distance;
and visually pushing the shortest waiting time.
4. The method as recited in claim 1, further comprising:
responding to the state change instruction, and updating state information corresponding to the candidate network vehicle;
and if the updated state information is the occupied state, removing the candidate network appointment vehicle corresponding to the updated state information from the network appointment vehicle recommendation sequence.
5. The method of claim 4, wherein before updating the status information corresponding to the candidate net appointment in response to the status change instruction, further comprising:
acquiring reservation state order information corresponding to the candidate network about car;
and if the current time falls into the reserved time interval corresponding to the reserved state order information, generating a state change instruction.
6. The method of any one of claims 1 to 5, wherein the acquiring vehicle location information of the net jockey car in response to the net jockey car call instruction comprises:
acquiring position information of a plurality of base stations accessed by a vehicle-mounted terminal in a network vehicle and signal transmission time between the vehicle-mounted terminal and the plurality of base stations in the network vehicle;
And calculating the vehicle position information of the network vehicle according to the plurality of base station position information and the signal transmission time.
7. A net appointment vehicle recommendation device, the device comprising:
the vehicle position acquisition module is used for responding to the network vehicle calling instruction and acquiring the vehicle position information of the idle state network vehicle;
the searching range construction module is used for constructing and obtaining a network taxi searching range according to taxi position information carried by the network taxi calling instruction and the searching radius;
the candidate vehicle screening module is used for screening the idle state network about vehicles according to the network about vehicle searching range and the vehicle position information to obtain a plurality of candidate network about vehicles;
the vehicle distance calculation module is used for calculating a plurality of vehicle distances according to a plurality of candidate position information corresponding to the plurality of candidate network vehicle and the vehicle position information;
and the recommended sequence output module is used for constructing and obtaining a network about car recommended sequence according to the plurality of car using distances and pushing the network about car recommended sequence.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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