CN116308604A - Travel service method and device, electronic equipment and storage medium - Google Patents

Travel service method and device, electronic equipment and storage medium Download PDF

Info

Publication number
CN116308604A
CN116308604A CN202211565764.6A CN202211565764A CN116308604A CN 116308604 A CN116308604 A CN 116308604A CN 202211565764 A CN202211565764 A CN 202211565764A CN 116308604 A CN116308604 A CN 116308604A
Authority
CN
China
Prior art keywords
travel
time
mileage
client
trip
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211565764.6A
Other languages
Chinese (zh)
Inventor
马超
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing Leading Technology Co Ltd
Original Assignee
Nanjing Leading Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing Leading Technology Co Ltd filed Critical Nanjing Leading Technology Co Ltd
Priority to CN202211565764.6A priority Critical patent/CN116308604A/en
Publication of CN116308604A publication Critical patent/CN116308604A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2455Query execution
    • G06Q50/40
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

The application discloses a travel service method, a travel service device, electronic equipment and a storage medium, which belong to the technical field of Internet, and the travel service method comprises the following steps: the method comprises the steps that travel information of a client is obtained, the travel information at least comprises a travel starting point and a travel ending point, travel characteristics of the client are generated based on the travel starting point and the travel ending point, reference travel data corresponding to the travel characteristics are queried from a travel database, the reference travel data comprise reference travel time and/or reference travel mileage, the reference travel time is determined based on travel time of a target historical order, the reference travel mileage is determined based on travel mileage of the target historical order, the travel information of the target historical order is matched with the travel information of the client, and the reference travel data are sent to the client. Therefore, reference trip data corresponding to the trip characteristics of the client side are directly queried from a preformed trip database without external service, and the restriction of the external service on the trip service is effectively avoided.

Description

Travel service method and device, electronic equipment and storage medium
Technical Field
The application relates to the technical field of internet, in particular to a travel service method, a travel service device, electronic equipment and a storage medium.
Background
With the rapid development of internet technology, many network orders such as network about car orders, driving orders, etc. are presented. Regardless of the form of network order, it is important to know both the travel time and travel mileage of the order.
Taking an online booking order as an example, each time when a passenger inputs a travel starting point and a travel ending point at a client, the online booking platform needs to estimate travel mileage and/or travel time from the travel starting point to the travel ending point by means of services provided by other companies, and pushes the acquired travel mileage and/or travel time to the client so as to provide better travel services for the passenger. However, in practice, the way of estimating the trip mileage and/or trip time by means of external services may have a constraint on the travel service of the network taxi platform, which is not beneficial to the development of the network taxi platform service. Similar problems exist with other network orders.
Disclosure of Invention
The embodiment of the application provides a travel service method, a travel service device, electronic equipment and a storage medium, which are used for solving the problem that travel service of a travel service platform is restricted by means of estimated travel mileage and/or travel time of external service in the prior art.
In a first aspect, an embodiment of the present application provides a travel service method, including:
acquiring travel information of a client, wherein the travel information at least comprises a travel starting point and a travel ending point;
generating travel characteristics of the client based on the travel starting point and the travel ending point;
inquiring reference journey data corresponding to the travel characteristics from a journey database, wherein the reference journey data comprises reference journey time and/or reference journey mileage, the reference journey time is determined based on journey time of a target historical order, the reference journey mileage is determined based on journey mileage of the target historical order, and the travel characteristics of the target historical order are matched with the travel characteristics of the client;
and sending the reference stroke data to the client.
In some embodiments, the reference travel time is determined based on an estimated travel time and/or an actual travel time of the target historical order, and the reference travel range is determined based on an estimated travel range and/or an actual travel range of the target historical order.
In some embodiments, generating travel characteristics of the client based on the travel starting point and the travel ending point includes:
Comparing the travel starting point and the travel ending point with the established geographic grids respectively to determine a first grid in which the travel starting point falls and a second grid in which the travel ending point falls;
and generating the travel characteristic based on the first grid and the second grid.
In some embodiments, the travel information further includes weather features and/or travel time features, and generating travel features of the client based on the first grid and the second grid includes:
determining the first grid, the second grid and the weather characteristics as the travel characteristics; or alternatively
Determining the travel time characteristics of the first grid, the second grid and the travel time characteristics as the travel characteristics; or alternatively
And determining the first grid, the second grid, the weather characteristics and the travel time characteristics as the travel characteristics.
In some embodiments, after obtaining the travel information of the client, the method further includes:
when a preset condition is met, obtaining estimated travel time and estimated travel mileage from the travel starting point to the travel ending point through external service;
and if the error between the reference travel time and the acquired estimated travel time is within a first preset range and the error between the reference travel mileage and the acquired estimated travel mileage is within a second preset range, transmitting the reference travel data to the client.
In some embodiments, after sending the reference trip data to the client, further comprising:
acquiring the actual travel time and the actual travel mileage of the client, and if the error between the reference travel time and the acquired actual travel time exceeds a third preset range or the error between the reference travel mileage and the acquired actual travel mileage exceeds a fourth preset range, marking the reference travel data with an abnormality;
and if the labeling times of the reference travel data reach a set value in a preset time, setting the reference travel data as unavailable.
In some embodiments, further comprising:
if the reference travel data corresponding to the travel characteristics are not queried in the travel database, acquiring estimated travel time and/or estimated travel mileage from the travel starting point to the travel ending point through external service;
and sending the obtained estimated travel time and/or the estimated travel mileage to the client.
In a second aspect, an embodiment of the present application provides a travel service device, including:
the first acquisition module is used for acquiring travel information of the client, wherein the travel information at least comprises a travel starting point and a travel ending point;
The generation module is used for generating travel characteristics of the client based on the travel starting point and the travel ending point;
the inquiring module is used for inquiring reference journey data corresponding to the travel characteristics from a journey database, the reference journey data comprises reference journey time and/or reference journey mileage, the reference journey time is determined based on journey time of a target historical order, the reference journey mileage is determined based on journey mileage of the target historical order, and the travel characteristics of the target historical order are matched with the travel characteristics of the client;
and the first sending module is used for sending the reference stroke data to the client.
In some embodiments, the reference travel time is determined based on an estimated travel time and/or an actual travel time of the target historical order, and the reference travel range is determined based on an estimated travel range and/or an actual travel range of the target historical order.
In some embodiments, the generating module is specifically configured to:
comparing the travel starting point and the travel ending point with the established geographic grids respectively to determine a first grid in which the travel starting point falls and a second grid in which the travel ending point falls;
And generating the travel characteristic based on the first grid and the second grid.
In some embodiments, the trip information further includes weather characteristics and/or trip time characteristics, and the generating module is specifically configured to:
determining the first grid, the second grid and the weather characteristics as the travel characteristics; or alternatively
Determining the travel time characteristics of the first grid, the second grid and the travel time characteristics as the travel characteristics; or alternatively
And determining the first grid, the second grid, the weather characteristics and the travel time characteristics as the travel characteristics.
In some embodiments, the first obtaining module is further configured to obtain, after obtaining trip information of the client, an estimated trip time and an estimated trip mileage from the trip start point to the trip end point through an external service when a preset condition is satisfied;
the first sending module is further configured to send the reference trip data to the client if an error between the reference trip time and the obtained estimated trip time is within a first preset range and an error between the reference trip mileage and the obtained estimated trip mileage is within a second preset range.
In some embodiments, the first transmitting module is further configured to:
acquiring the actual travel time and the actual travel mileage of the client, and if the error between the reference travel time and the acquired actual travel time exceeds a third preset range or the error between the reference travel mileage and the acquired actual travel mileage exceeds a fourth preset range, marking the reference travel data with an abnormality;
and if the labeling times of the reference travel data reach a set value in a preset time, setting the reference travel data as unavailable.
In some embodiments, further comprising:
the second acquisition module is used for acquiring estimated travel time and/or estimated travel mileage from the travel starting point to the travel ending point through external service if the reference travel data corresponding to the travel characteristics are not queried in the travel database;
and the second sending module is used for sending the obtained estimated travel time and/or the estimated travel mileage to the client.
In a third aspect, an embodiment of the present application provides an electronic device, including: at least one processor, and a memory communicatively coupled to the at least one processor, wherein:
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the travel service method described above.
In a fourth aspect, embodiments of the present application provide a storage medium, where, when a computer program in the storage medium is executed by a processor of an electronic device, the electronic device is capable of executing the trip service method described above.
In the embodiment of the application, travel information of a client is acquired, the travel information at least comprises a travel starting point and a travel ending point, travel characteristics of the client are generated based on the travel starting point and the travel ending point, reference travel data corresponding to the travel characteristics are queried from a travel database, the reference travel data comprise reference travel time and/or reference travel mileage, the reference travel time is determined based on travel time of a target historical order, the reference travel mileage is determined based on travel mileage of the target historical order, the travel information of the target historical order is matched with the travel information of the client, and the reference travel data are sent to the client. Therefore, the travel time and travel mileage of the historical order are analyzed in advance to form the reference travel data corresponding to different travel characteristics in the travel database, and then the reference travel data corresponding to the travel characteristics of the client can be queried from the travel database only by acquiring the travel information of the client, and the travel mileage and/or travel time are not estimated by means of external service, so that the dependence on the external service is reduced, and the restriction of the external service on the travel service can be effectively avoided. In addition, since external services are generally charged, the operation cost can also be reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
fig. 1 is an application scenario diagram of a travel service method provided in an embodiment of the present application;
fig. 2 is a flowchart of a travel service method provided in an embodiment of the present application;
FIG. 3 is a schematic diagram of a geographic grid structure according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of travel time characteristics according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a travel service device according to an embodiment of the present application;
fig. 6 is a schematic hardware structure of an electronic device for implementing a travel service method according to an embodiment of the present application.
Detailed Description
In order to solve the problem that travel service of a travel service platform is limited by means of external service estimated travel mileage and/or travel time in the prior art, the embodiment of the application provides a travel service method, a travel service device, electronic equipment and a storage medium.
The preferred embodiments of the present application will be described below with reference to the accompanying drawings of the specification, it being understood that the preferred embodiments described herein are for illustration and explanation only, and are not intended to limit the present application, and embodiments and features of embodiments of the present application may be combined with each other without conflict.
In order to facilitate understanding of the present application, the present application refers to the technical terms:
the estimated travel mileage generally refers to the mileage from the travel start point to the travel end point estimated by a certain means before the order starts, and the estimated travel mileage may be estimated by the travel service provider itself or may be obtained by the travel service provider through an external service, and in order to distinguish the two estimated travel mileage, the estimated travel mileage of the travel service provider itself is referred to as a reference travel mileage, and the travel mileage obtained through the external service is referred to as an estimated travel mileage.
The actual trip mileage generally refers to the mileage actually travelled from the start point to the end point of the trip after the start of the order.
The estimated travel time generally refers to the time from the travel start point to the travel end point estimated by a certain means before the order starts, and the estimated time mode may be estimated by the travel service provider itself or may be acquired by the travel service provider through external service, and in order to distinguish the two time estimated modes, the estimated travel time of the travel service provider itself is referred to as reference travel time, and the travel time acquired through external service is referred to as estimated travel time.
The actual travel time generally refers to the time from the start of the travel to the end of the travel after the start of the order.
The order processing method provided by the embodiment of the application can be applied to various scenes such as network about vehicles, driving, and the like. The scheme provided in the embodiment of the application is described by taking a network about car scene as an example.
Fig. 1 is an application scenario diagram of a travel service method provided in an embodiment of the present application, including a client, a server, and a connection terminal, where the client is connected to the server through a wired network or a wireless network, and the connection terminal is also connected to the server through a wired network or a wireless network.
The client, such as a mobile phone, an Ipad, a computer, etc., may send a trip start point and a trip end point to the server, where the trip start point may be a current location of the client user, or may be another location specified by the client user.
After acquiring the travel starting point and the travel ending point sent by any client, the server can query reference travel data corresponding to the travel starting point and the travel ending point and send the reference travel data to the client, wherein the reference travel data comprises reference travel time and/or reference travel mileage.
The client may send an order placing request to the server after receiving the reference trip data sent by the server, where the order placing request may include order information such as a trip start point, a trip end point, a departure time, and the like.
When receiving a request for ordering sent by a client, the server can select a single-ended connection according to order information in the request for ordering, send order receiving information such as identification information, service grade and the like of the single-ended connection to the single-ended connection, and send an order dispatching instruction to the selected single-ended connection, wherein the order dispatching instruction comprises order dispatching information such as a travel starting point, a travel ending point, a departure time and the like.
And receiving a single end, such as a mobile phone, an Ipad, a computer and the like, and executing a bill receiving and delivering process based on the bill sending information in the bill sending instruction after receiving the bill sending instruction sent by the server.
After an application scenario of the embodiment of the present application is introduced, a travel service provided by the present application is described in the following with a specific embodiment. Fig. 2 is a flowchart of a travel service method provided in an embodiment of the present application, where the method is applied to the server in fig. 1, and the method includes the following steps.
In step 201, travel information of the client is acquired, where the travel information includes at least a travel start point and a travel end point.
In specific implementation, the travel information may further include weather features and/or travel time features, where the weather features may be determined according to weather conditions of cities or administrative areas corresponding to travel starting points of the clients, such as sunny days, rainy days, snowy days, foggy days, etc., the travel time features may be, for example, time periods 7:00-9:00, 17:00-19:00, etc., or date+time periods 10 months 1 day 7:00-9:00, and travel time features may be current time of the clients, or other time specified by the clients, as shown in fig. 3, and fig. 3 is a travel time feature schematic diagram provided in the embodiment of the present application, and in fig. 3, the clients may select travel times, such as 10 months 1 day, 18 minutes, according to the expected travel time to be obtained from the clients, and then determine the travel time features, such as 10 months 1 day, 17:00-19:00.
In step 202, travel characteristics of the client are generated based on the travel start point and the travel end point.
In the implementation, the travel starting point and the travel ending point can be combined to obtain the travel characteristics of the client.
In some embodiments, the trip start point and the trip end point may also be compared with the established geographic grids, respectively, to determine a first grid into which the trip start point falls and a second grid into which the trip end point falls, and then, based on the first grid and the second grid, generate trip characteristics.
For example, taking a city as an example, assuming that the city is covered by 2000 geographic grids, each geographic grid covers a geographic area with a preset area, comparing a trip start point S1 and a trip end point E1 of the client 1 with the established geographic grids, if it is determined that the trip start point S1 falls into a geographic grid a and the trip end point E1 falls into a geographic grid b, determining the geographic grid a as a first grid, determining the geographic grid b as a second grid, generating trip characteristics as (a, b), if it is determined that the trip start point S1 falls into the geographic grid b and the trip end point E1 falls into a geographic grid c, determining the geographic grid b as a first grid, determining the geographic grid c as a second grid, generating trip characteristics as (b, c), as shown in fig. 4, fig. 4 is a geographic grid structure schematic diagram provided in the embodiment of the present application, and any geographic grid can be used as the first grid or the second grid.
In some embodiments, when the travel information further includes a weather feature, the first grid, the second grid, and the weather feature may also be determined as travel features.
In specific implementation, the weather features at least include weather features of a travel start point and may further include weather features of a travel end point. Taking the weather feature as the trip start point as an example, for example, if the weather condition of the trip start point is determined to be a sunny day according to the trip start point of the client 1, then the sunny day is determined to be the weather feature of the client 1, and then the first grid, the second grid and the weather feature are combined to obtain the trip feature of the client 1, such as (a, b, sunny day).
In some embodiments, when the travel information further includes a travel time feature, the first grid, the second grid, and the travel time feature may also be determined as travel features.
For example, if the client 1 does not select the expected travel time, determining the current time 18:00 of the client 1 as the travel time of the client 1, and determining the time period in which the current time is located as the travel time feature, that is, the travel feature is 17:00-19:00, and then combining the first grid, the second grid and the travel time feature to obtain the travel feature of the client 1, such as (a, b, 17:00-19:00).
In some embodiments, when the trip information further includes a weather feature and a trip time feature, the first grid, the second grid, the weather feature, and the trip time feature may also be determined as trip features.
For example, the travel characteristic of the client 1 is (a, b, sunny day, 17:00-19:00).
In step 203, reference trip data corresponding to the trip characteristics is queried from the trip database, the reference trip data including a reference trip time and/or a reference trip mileage, the reference trip time being determined based on the trip time of the target historical order, the reference trip mileage being determined based on the trip mileage of the target historical order, the trip characteristics of the target historical order matching the trip characteristics of the client.
In specific implementation, the reference journey time can be determined by the estimated journey time of the target historical order, can be determined by the actual journey time of the target historical order, can be determined by the estimated journey time and the actual journey time of the target historical order together, and correspondingly, the reference journey mileage can be determined by the estimated journey mileage of the target historical order, can be determined by the actual journey mileage of the target historical order, and can be determined by the estimated journey mileage and the actual journey mileage of the target historical order together.
Taking the example that the reference journey time is determined by the estimated journey time of the target historical order, and the reference journey mileage is determined by the estimated journey mileage of the target historical order, for example, when the number of orders in the target historical order exceeds a preset threshold, determining the average value of the estimated journey time of each target historical order as the reference journey time, determining the average value of the estimated journey mileage of the target historical order as the reference journey mileage, and then determining the reference journey time and the reference journey mileage as the reference journey data corresponding to the travel characteristics.
In step 204, the reference trip data is sent to the client.
In some embodiments, after the trip information of the client is obtained, when preset conditions, such as every 100 orders, are met, the estimated travel time and the estimated travel mileage from the travel start point to the travel end point may be obtained through the external service, if the error between the reference travel time and the obtained estimated travel time is within the first preset range and the error between the reference travel mileage and the obtained estimated travel mileage is within the second preset range, the reference travel data may be indicated to be higher in reliability, and otherwise, the reference travel data may be indicated to be lower in reliability, and the estimated travel time and the estimated travel mileage obtained through the external service may be sent to the client. In addition, the reference travel data can be set as unavailable in the travel database, and then the reference travel data can be further examined and set as available after recalculating the reference travel data with higher reliability.
In some embodiments, after the reference trip data is sent to the client, the actual trip time and the actual trip mileage of the client may be obtained, if the error between the reference trip time and the obtained actual trip time exceeds a third preset range, or if the error between the reference trip mileage and the obtained actual trip mileage exceeds a fourth preset range, the reference trip data is marked with an abnormality, and then if the number of times of marking the reference trip data reaches a set value within the preset time, the reference trip data is set as unavailable.
In some embodiments, if the reference trip data corresponding to the trip feature is not queried in the trip database, the estimated trip time and/or the estimated trip mileage from the trip start point to the trip end point may be obtained through an external service, and the obtained estimated trip time and/or the estimated trip mileage may be sent to the client to ensure that the trip service is available.
According to the method and the device for analyzing the travel time and the travel mileage of the historical order, the travel time and the travel mileage of the historical order are analyzed in advance to form the reference travel data corresponding to different travel characteristics in the travel database, then, the reference travel data corresponding to the travel characteristics of the client can be queried from the travel database only by acquiring the travel information of the client, the travel mileage and/or the travel time are not estimated by means of external service, dependence on the external service is reduced, and therefore, the restriction of the external service on the travel service can be effectively avoided. In addition, since external services are generally charged, the operation cost can also be reduced.
The solution provided in the embodiment of the present application will be described below by taking a network about vehicle order as an example.
The scheme of the embodiment of the application is mainly divided into two stages, wherein the first stage is a stage of establishing a travel database, the second stage is a stage of using the travel database, and the two stages are described in detail below:
the first stage: and establishing a travel database.
Mainly comprises the following steps:
step 1, acquiring a history order.
Taking a city as an example, orders of the city in the past half year are obtained, and each order has characteristics of a travel starting point, a travel end point, weather, travel time, actual travel mileage and the like, as shown in table 1.
TABLE 1
Figure BDA0003986044160000111
And 2, analyzing the characteristics of the historical orders to determine the historical orders with the same travel characteristics.
Suppose that this city is covered by 2000 geographic grids. Then:
if only two dimensions of the travel starting point and the travel ending point are considered, 2000 x 2000 travel characteristics of the city are provided; if three dimensions of a travel starting point, a travel ending point and travel time are considered, for example, travel time is divided into three travel time characteristics of an early peak of 7:00-9:00, a late peak of 17:00-19:00 and other time periods, 2000 x 3 travel characteristics are provided in the city; if three dimensions of a travel starting point, a travel ending point and weather are considered, for example, weather is divided into 4 weather features of rainy days, sunny days, foggy days and snowy days, the city has 2000 x 4 travel features; if four dimensions of trip start point, trip end point, trip time and weather are considered, then the city has 2000 x 3 x 4 trip characteristics.
When the specific implementation is carried out, after the dividing dimension is determined, travel characteristics of each historical order are determined according to the determined dimension, and then the historical orders with the same travel characteristics are classified.
As shown in table 1 above, assume that the travel start points of orders 1 through 4 all fall into grid a and the travel end points of orders 1 through 4 all fall into grid b.
For example, if only two dimensions of the trip start point and the trip end point are considered, the trip feature of the order 1 is (a, b), the trip feature of the order 2 is (a, b), the trip feature of the order 3 is (a, b), the trip feature of the order 4 is (a, b), and the trip features of the orders 1 to 4 are (a, b), so that the historical orders are in the same class, namely the orders 1 to 4 are in the same class;
if three dimensions of the trip start point, the trip end point and the trip time are considered, the corresponding time period of the trip time 8:00 of the order 1 is 7:00-9:00, so the trip time feature 7:00-9:00, namely the trip feature of the order 1 is (a, b, 7:00-9:00), similarly, the trip feature of the order 2 is (a, b, 17:00-19:00), the trip feature of the order 3 is (a, b, 7:00-9:00), the trip feature of the order 4 is (a, b, other time periods), wherein the trip features of the order 1 and the order 3 are the same, thus the historical orders are three types, the order 1 and the order 3 are classified into one type, the order 2 is one type, and the order 4 is one type.
If four dimensions of the travel starting point, the travel ending point, the travel time and the weather are considered, the travel characteristics of the order 1 are (a, b, 7:00-9:00, rainy days), the travel characteristics of the order 2 are (a, b, 17:00-19:00, sunny days), the travel characteristics of the order 3 are (a, b, 7:00-9:00, foggy days), the travel characteristics of the order 4 are (a, b, other time periods, snowy days), and the travel characteristics are known to be different, so that the historical orders are four types, and each of the orders 1 to 4.
And step 3, determining reference journey data of each travel feature based on the historical orders with the same travel feature.
The historical order corresponding to any travel feature is called a target historical order of the travel feature.
In specific implementation, the following three cases are calculated for the reference travel data corresponding to any travel feature.
First case: the reference trip time is determined by the estimated trip time of the target historical order and the reference trip mileage is determined by the estimated trip mileage of the target historical order.
In specific implementation, for example, when the number of orders in the target historical orders exceeds a preset threshold, determining an average value of estimated travel time of each target historical order as a reference travel time, determining an average value of estimated travel mileage of the historical order as a reference travel mileage, and then determining the reference travel time and the reference travel mileage as reference travel data corresponding to travel characteristics.
Taking the travel characteristics as (a, b), and the target historical orders corresponding to the travel characteristics are shown as examples in table 2:
TABLE 2
Figure BDA0003986044160000131
As can be seen from the table, the average value of the estimated travel time of each order is (8+5+10+7)/4=7.5 minutes, the reference travel time is 7.5 minutes, the average value of the estimated travel mileage of each order is (2+2.1+2.2+2.1)/4=2.1 kilometers, and the reference travel mileage is 2.1 kilometers, so the reference travel data of the travel characteristics (a, b) is (7.5 minutes, 2.1 kilometers).
Second case: the reference trip time is determined by the actual trip time of the target historical order and the reference trip mileage is determined by the actual trip mileage of the target historical order.
In specific implementation, for example, when the number of orders in the target historical orders exceeds a preset threshold, determining an average value of actual journey time of each target historical order as a reference journey time, determining an average value of actual journey mileage of the historical order as a reference journey mileage, and then determining the reference journey time and the reference journey mileage as reference journey data corresponding to travel characteristics.
Still take the travel characteristics as (a, b), and the target history orders corresponding to the travel characteristics are shown in the above table 2 as examples:
as can be seen from the table, the average value of the actual travel time of each order is (6+5+9+8)/4=7 minutes, the reference travel time is 7 minutes, the average value of the actual travel mileage of each order is (1.9+2+2.1+2)/4=2 km, and the reference travel mileage is 2 km, so the reference travel data of the travel characteristics (a, b) is (7 minutes, 2 km).
Third case: the reference journey time is determined by the estimated journey time and the actual journey time of the target historical order, and the reference journey mileage is determined by the estimated journey mileage and the actual journey mileage of the target historical order.
In specific implementation, for example, when the number of orders in the target historical orders exceeds a preset threshold, determining the maximum value of the average value of the estimated travel time and the average value of the actual travel time of each target historical order as a reference travel time, determining the maximum value of the average value of the estimated travel mileage and the average value of the actual travel mileage of each target historical order as a reference travel mileage, and then determining the reference travel time and the reference travel mileage as reference travel data corresponding to travel characteristics.
Assume that the target history orders for travel characteristics (a, b) are as shown in table 3:
TABLE 3 Table 3
Figure BDA0003986044160000141
As can be seen from the table, the average value of the estimated travel time of each order is 6.5 minutes, the average value of the estimated travel mileage of each order is 2.1 km, the average value of the actual travel time of each order is 7 minutes, and the average value of the actual travel mileage of each order is 2 km, so that the average value of the actual travel time of each order is determined as the reference travel time, and the average value of the estimated travel mileage of each order is determined as the reference travel mileage, and therefore, the reference travel data of the travel characteristics (a, b) is (7 minutes, 2.1 km).
And so on, obtaining reference travel data of each travel characteristic.
In any of the above cases, the manner of determining the reference trip data corresponding to the trip feature may be obtained by other calculation manners, for example, in the third case, the average value of the estimated trip time may be determined as a first reference time, the average value of the actual trip time may be determined as a second reference time, then the average value of the first reference time and the second reference time may be determined as a reference trip time, the average value of the estimated trip mileage may be determined as a first reference mileage, the average value of the actual trip mileage may be determined as a second reference mileage, and the average value of the first reference mileage and the second reference mileage may be determined as a reference trip mileage.
And step 4, storing each travel characteristic and the reference travel data corresponding to the travel characteristic in a correlated manner, so as to form a travel database.
For example, the trip database is shown in table 4:
TABLE 4 Table 4
Sequence number Origin grid Endpoint grid Reference travel time Reference trip mileage
1 a b 7 minutes 2.1 km
2 c d For 10 minutes 10 km
3 b c 30 minutes 18 km
4 d e 20 minutes 15 km
And a second stage: a trip database is used.
Subsequently, when the travel information of the client side is obtained, wherein the travel information comprises a travel starting point, a travel ending point, weather features and travel time features, the travel starting point and the travel ending point can be compared with the established geographic network, a first network in which the travel starting point falls and a second network in which the travel ending point falls are determined, the first network, the second grid, the weather features and the travel time features are used as travel features of the client side, then reference travel data corresponding to the travel features are queried from a travel database, and the reference travel data are sent to the client side.
In addition, considering that the geographical grids covered by the historical order may not be comprehensive, for example, 100 geographical grids are shared, but the historical order only covers 90 geographical grids, then 10 geographical grids which are not covered by the order cannot form travel characteristics, and calculation of reference travel data cannot be performed, no record is stored in the travel database, further when the travel starting point or the travel ending point of any order falls into such geographical grids, the formed travel characteristics cannot query the corresponding reference travel data in the travel database, at this time, the estimated travel time and/or the estimated travel mileage from the travel starting point to the travel ending point can be obtained through external service, the obtained estimated travel time and/or the estimated travel mileage can be sent to the client, or based on such geographical grids, at the time of low peak of the travel service, some order travel routes can be set, the travel time and the estimated travel mileage of the order can be obtained through external service, and the estimated travel order can be used as the estimated travel order to update the travel database.
Secondly, because the road condition information is not fixed, the updating period of the reference journey data in the journey database can be set, for example, the reference journey data is updated once a week, so that the accuracy of the data can be ensured.
In addition, it should be noted that, since the historical orders in the past period are usually only adopted in the travel database, for example, the last 3 months, the reference travel data is calculated once every time the update period is reached, and the historical orders from the start grid falling from the start point to the end grid falling from the end point are continuously replaced as the historical orders are continuously generated, that is, the historical orders containing the estimated travel time and the estimated travel mileage data in the historical orders from the start grid to the end grid are less and less, the newly generated historical orders only include the actual travel time and the actual travel mileage and the reference travel time and the reference travel mileage, and when the update period of the reference travel data is reached, if the historical orders from the start grid to the end grid at this time are only the actual travel time and the reference travel mileage, in order to ensure the accuracy of the updated reference travel data from the start grid to the end grid, when the calculation of the reference travel data is performed, only the actual travel time and the actual travel mileage are considered, and the reference travel time and the reference travel mileage are not participated in the calculation of the reference travel data.
In order to further ensure the accuracy of the data, after the actual trip data of the client are obtained each time, the actual trip data of the client are compared with the reference trip data sent to the client, the difference value between the reference trip data and the actual trip data is recorded, if the difference value of any order exceeds a threshold value, trip characteristics of the order and corresponding reference trip data are marked for one time to be abnormal, if the trip characteristics and corresponding reference trip data marking times exceed a set value in preset time, such as one day, the reference trip data can be set to be unavailable in a trip database, and subsequently, the reference trip data can be further examined, and after the reference trip data with higher reliability is calculated again, the reference trip data can be set to be available, at this time, the estimated trip time and/or the estimated trip mileage from the trip start point to the trip end point can be obtained through external service, and the obtained estimated trip time and/or the estimated trip mileage can be sent to the client, so that the trip service availability is ensured.
In the implementation, the accuracy of the reference trip data can be confirmed by a regular sampling inspection mode, for example, when every 100 orders are set, the estimated trip time and the estimated trip mileage from the trip starting point to the trip ending point are obtained through external service, if the error between the reference trip time and the obtained estimated trip time is in a first preset range and the error between the reference trip mileage and the obtained estimated trip mileage is in a second preset range, the reliability of the reference trip data is higher, the reference trip data can be sent to the client, otherwise, the reliability of the reference trip data is lower, and the estimated trip time and the estimated trip mileage obtained through external service can be sent to the client.
Therefore, the travel time and travel mileage of the historical order are analyzed in advance to form the reference travel data corresponding to different travel characteristics in the travel database, and then the reference travel data corresponding to the travel characteristics of the client can be queried from the travel database only by acquiring the travel information of the client, and the travel mileage and/or travel time are not estimated by means of external service, so that the dependence on the external service is reduced, and the restriction of the external service on the travel service can be effectively avoided. And the modes of updating period, comparing actual journey data with reference journey data, regular sampling inspection and the like are set, so that accuracy of the reference journey data in the journey database is guaranteed, and the reliability of the reference journey data is higher. In addition, since external services are generally charged, the operation cost can also be reduced.
Based on the same technical conception, the embodiment of the application also provides a travel service device, and the principle of solving the problem by the travel service device is similar to that of the travel service method, so that the implementation of the travel service device can be seen from the implementation of the travel service method, and the repetition is omitted.
Fig. 5 is a schematic structural diagram of a travel service device provided in the embodiment of the present application, which includes a first obtaining module 501, a generating module 502, a query module 503, and a first sending module 504.
A first obtaining module 501, configured to obtain trip information of a client, where the trip information includes at least a trip start point and a trip end point;
a generating module 502, configured to generate a travel feature of the client based on the trip start point and the trip end point;
a query module 503, configured to query, from a trip database, reference trip data corresponding to the trip feature, where the reference trip data includes a reference trip time and/or a reference trip mileage, the reference trip time is determined based on a trip time of a target historical order, the reference trip mileage is determined based on a trip mileage of the target historical order, and the trip feature of the target historical order is matched with the trip feature of the client;
a first sending module 504, configured to send the reference trip data to the client.
In some embodiments, the reference travel time is determined based on an estimated travel time and/or an actual travel time of the target historical order, and the reference travel range is determined based on an estimated travel range and/or an actual travel range of the target historical order.
In some embodiments, the generating module 502 is specifically configured to:
Comparing the travel starting point and the travel ending point with the established geographic grids respectively to determine a first grid in which the travel starting point falls and a second grid in which the travel ending point falls;
and generating the travel characteristic based on the first grid and the second grid.
In some embodiments, the trip information further includes weather features and/or trip time features, and the generating module 502 is specifically configured to:
determining the first grid, the second grid and the weather characteristics as the travel characteristics; or alternatively
Determining the travel time characteristics of the first grid, the second grid and the travel time characteristics as the travel characteristics; or alternatively
And determining the first grid, the second grid, the weather characteristics and the travel time characteristics as the travel characteristics.
In some embodiments, the first obtaining module 501 is further configured to obtain, after obtaining trip information of the client, an estimated trip time and an estimated trip mileage from the trip start point to the trip end point through an external service when a preset condition is satisfied;
the first sending module 504 is further configured to send the reference trip data to the client if an error between the reference trip time and the obtained estimated trip time is within a first preset range and an error between the reference trip mileage and the obtained estimated trip mileage is within a second preset range.
In some embodiments, the first sending module 504 is further configured to:
acquiring the actual travel time and the actual travel mileage of the client, and if the error between the reference travel time and the acquired actual travel time exceeds a third preset range or the error between the reference travel mileage and the acquired actual travel mileage exceeds a fourth preset range, marking the reference travel data with an abnormality;
and if the labeling times of the reference travel data reach a set value in a preset time, setting the reference travel data as unavailable.
In some embodiments, further comprising:
a second obtaining module 505, configured to obtain, if reference trip data corresponding to the trip feature is not queried from the trip database, an estimated trip time and/or an estimated trip mileage from the trip start point to the trip end point through an external service;
and the second sending module 506 is configured to send the obtained estimated travel time and/or the estimated travel mileage to the client.
In this embodiment of the present application, the division of the modules is schematically only one logic function division, and there may be another division manner in actual implementation, and in addition, each functional module in each embodiment of the present application may be integrated in one processor, or may exist separately and physically, or two or more modules may be integrated in one module. The coupling of the individual modules to each other may be achieved by means of interfaces which are typically electrical communication interfaces, but it is not excluded that they may be mechanical interfaces or other forms of interfaces. Thus, the modules illustrated as separate components may or may not be physically separate, may be located in one place, or may be distributed in different locations on the same or different devices. The integrated modules may be implemented in hardware or in software functional modules.
Having described the travel service method and apparatus of the exemplary embodiments of the present application, next, an electronic device according to another exemplary embodiment of the present application is described.
An electronic device 130 implemented according to such an embodiment of the present application is described below with reference to fig. 6. The electronic device 130 shown in fig. 6 is merely an example and should not be construed to limit the functionality and scope of use of embodiments of the present application in any way.
As shown in fig. 6, the electronic device 130 is in the form of a general-purpose electronic device. Components of electronic device 130 may include, but are not limited to: the at least one processor 131, the at least one memory 132, and a bus 133 connecting the various system components, including the memory 132 and the processor 131.
Bus 133 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a processor, and a local bus using any of a variety of bus architectures.
Memory 132 may include readable media in the form of volatile memory such as Random Access Memory (RAM) 1321 and/or cache memory 1322, and may further include Read Only Memory (ROM) 1323.
Memory 132 may also include a program/utility 1325 having a set (at least one) of program modules 1324, such program modules 1324 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
The electronic device 130 may also communicate with one or more external devices 134 (e.g., keyboard, pointing device, etc.), one or more devices that enable a user to interact with the electronic device 130, and/or any device (e.g., router, modem, etc.) that enables the electronic device 130 to communicate with one or more other electronic devices. Such communication may occur through an input/output (I/O) interface 135. Also, electronic device 130 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 136. As shown, network adapter 136 communicates with other modules for electronic device 130 over bus 133. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 130, including, but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
In an exemplary embodiment, there is also provided a storage medium, the electronic device being capable of executing the above travel service method when a computer program in the storage medium is executed by a processor of the electronic device. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.
In an exemplary embodiment, the electronic device of the present application may include at least one processor, and a memory communicatively connected to the at least one processor, where the memory stores a computer program executable by the at least one processor, and the computer program when executed by the at least one processor may cause the at least one processor to perform the steps of any of the travel service methods provided by the embodiments of the present application.
In an exemplary embodiment, a computer program product is also provided, which, when executed by an electronic device, is capable of carrying out any one of the exemplary methods provided herein.
Also, a computer program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, a RAM, a ROM, an erasable programmable read-Only Memory (EPROM), flash Memory, optical fiber, compact disc read-Only Memory (Compact Disk Read Only Memory, CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The program product for travel services in embodiments of the present application may take the form of a CD-ROM and include program code that can run on a computing device. However, the program product of the present application is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, radio Frequency (RF), etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In cases involving remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, such as a local area network (Local Area Network, LAN) or wide area network (Wide Area Network, WAN), or may be connected to an external computing device (e.g., connected over the internet using an internet service provider).
It should be noted that although several units or sub-units of the apparatus are mentioned in the above detailed description, such a division is merely exemplary and not mandatory. Indeed, the features and functions of two or more of the elements described above may be embodied in one element in accordance with embodiments of the present application. Conversely, the features and functions of one unit described above may be further divided into a plurality of units to be embodied.
Furthermore, although the operations of the methods of the present application are depicted in the drawings in a particular order, this is not required to or suggested that these operations must be performed in this particular order or that all of the illustrated operations must be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.

Claims (10)

1. A travel service method, comprising:
acquiring travel information of a client, wherein the travel information at least comprises a travel starting point and a travel ending point;
generating travel characteristics of the client based on the travel starting point and the travel ending point;
inquiring reference journey data corresponding to the travel characteristics from a journey database, wherein the reference journey data comprises reference journey time and/or reference journey mileage, the reference journey time is determined based on journey time of a target historical order, the reference journey mileage is determined based on journey mileage of the target historical order, and the travel characteristics of the target historical order are matched with the travel characteristics of the client;
and sending the reference stroke data to the client.
2. The method of claim 1, wherein the reference travel time is determined based on an estimated travel time and/or an actual travel time of the target historical order, and the reference travel range is determined based on an estimated travel range and/or an actual travel range of the target historical order.
3. The method of claim 1, wherein generating travel characteristics of the client based on the travel start point and the travel end point comprises:
comparing the travel starting point and the travel ending point with the established geographic grids respectively to determine a first grid in which the travel starting point falls and a second grid in which the travel ending point falls;
and generating the travel characteristic based on the first grid and the second grid.
4. The method of claim 3, wherein the travel information further includes weather features and/or travel time features, and wherein generating travel features for the client based on the first grid and the second grid comprises:
determining the first grid, the second grid and the weather characteristics as the travel characteristics; or alternatively
Determining the travel time characteristics of the first grid, the second grid and the travel time characteristics as the travel characteristics; or alternatively
And determining the first grid, the second grid, the weather characteristics and the travel time characteristics as the travel characteristics.
5. The method of claim 1, further comprising, after obtaining the travel information of the client:
When a preset condition is met, obtaining estimated travel time and estimated travel mileage from the travel starting point to the travel ending point through external service;
and if the error between the reference travel time and the acquired estimated travel time is within a first preset range and the error between the reference travel mileage and the acquired estimated travel mileage is within a second preset range, transmitting the reference travel data to the client.
6. The method of claim 1, wherein after transmitting the reference trip data to the client, further comprising:
acquiring the actual travel time and the actual travel mileage of the client, and if the error between the reference travel time and the acquired actual travel time exceeds a third preset range or the error between the reference travel mileage and the acquired actual travel mileage exceeds a fourth preset range, marking the reference travel data with an abnormality;
and if the labeling times of the reference travel data reach a set value in a preset time, setting the reference travel data as unavailable.
7. The method as recited in claim 1, further comprising:
If the reference travel data corresponding to the travel characteristics are not queried in the travel database, acquiring estimated travel time and/or estimated travel mileage from the travel starting point to the travel ending point through external service;
and sending the obtained estimated travel time and/or the estimated travel mileage to the client.
8. A travel service device, comprising:
the first acquisition module is used for acquiring travel information of the client, wherein the travel information at least comprises a travel starting point and a travel ending point;
the generation module is used for generating travel characteristics of the client based on the travel starting point and the travel ending point;
the inquiring module is used for inquiring reference journey data corresponding to the travel characteristics from a journey database, the reference journey data comprises reference journey time and/or reference journey mileage, the reference journey time is determined based on journey time of a target historical order, the reference journey mileage is determined based on journey mileage of the target historical order, and the travel characteristics of the target historical order are matched with the travel characteristics of the client;
and the first sending module is used for sending the reference stroke data to the client.
9. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein:
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
10. A storage medium, characterized in that a computer program in the storage medium, when executed by a processor of an electronic device, is capable of performing the method of any of claims 1-7.
CN202211565764.6A 2022-12-07 2022-12-07 Travel service method and device, electronic equipment and storage medium Pending CN116308604A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211565764.6A CN116308604A (en) 2022-12-07 2022-12-07 Travel service method and device, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211565764.6A CN116308604A (en) 2022-12-07 2022-12-07 Travel service method and device, electronic equipment and storage medium

Publications (1)

Publication Number Publication Date
CN116308604A true CN116308604A (en) 2023-06-23

Family

ID=86785755

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211565764.6A Pending CN116308604A (en) 2022-12-07 2022-12-07 Travel service method and device, electronic equipment and storage medium

Country Status (1)

Country Link
CN (1) CN116308604A (en)

Similar Documents

Publication Publication Date Title
CN111966729B (en) Vehicle track data processing method, device, equipment and storage medium
US20150262206A1 (en) Electric vehicle (ev) charging infrastructure with charging stations optimumally sited
WO2020181879A1 (en) Vehicle-related data processing method and system
CN110570678B (en) Method and device for predicting total travel time of bus from starting point to end point
CN110689804B (en) Method and apparatus for outputting information
CN104599002B (en) Method and equipment for predicting order value
CN111159189A (en) Vehicle driving track query method, device, equipment and storage medium
CN111382922A (en) Information acquisition task allocation method and device
CN111784047A (en) Seasonal factor calculation method and related device
CN109088793B (en) Method and apparatus for detecting network failure
CN112669604B (en) Urban traffic scheduling method and device
CN111582527A (en) Travel time estimation method and device, electronic equipment and storage medium
Formentin et al. On the prediction of future vehicle locations in free-floating car sharing systems
CN116308604A (en) Travel service method and device, electronic equipment and storage medium
CN112052276B (en) Mining method and device for riding route
CN113284337B (en) OD matrix calculation method and device based on vehicle track multidimensional data
US20210254987A1 (en) Route navigation device and computer readable storage medium
CN111818116B (en) Method, apparatus, vehicle and computer readable medium for correcting vehicle position
CN114529348A (en) Vehicle driving path charging method, system, device and storage medium
CN113269339A (en) Method and system for automatically creating and distributing network appointment tasks
CN110103770B (en) Method and device for detecting performance of vehicle-mounted battery
JP5980769B2 (en) DATA GENERATION SYSTEM, DATA GENERATION DEVICE, DATA GENERATION METHOD, DATA GENERATION PROGRAM
CN113536128A (en) Recommendation method for transportation hub transfer mode and electronic equipment
CN110718087B (en) Data fusion processing method and device
CN113029179B (en) Route evaluation method and device, electronic equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination