CN111854778A - Method and system for evaluating rationality of geographic position description - Google Patents
Method and system for evaluating rationality of geographic position description Download PDFInfo
- Publication number
- CN111854778A CN111854778A CN201910847844.2A CN201910847844A CN111854778A CN 111854778 A CN111854778 A CN 111854778A CN 201910847844 A CN201910847844 A CN 201910847844A CN 111854778 A CN111854778 A CN 111854778A
- Authority
- CN
- China
- Prior art keywords
- description
- data
- location description
- geographic location
- information
- 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.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3476—Special cost functions, i.e. other than distance or default speed limit of road segments using point of interest [POI] information, e.g. a route passing visible POIs
Abstract
The embodiment of the application discloses a method, a system and a device for evaluating the rationality of geographic position description and a storage medium. The method comprises the following steps: acquiring data to be evaluated, wherein the data to be evaluated comprises geographical location description, POI information corresponding to the geographical location description and actual geographical location information to be referred by the geographical location description; comparing the relationship between the POI information and the actual geographic position information; and obtaining an evaluation result of the reasonableness of the geographic position description based on the comparison result. This application can carry out quick, accurate aassessment to the rationality of geographical position description through POI information and actual geographical position information's contrast, has solved driver and passenger and has understood the problem that the difference leads to connect to drive inefficiency to the point of getting on the bus.
Description
Technical Field
The application relates to the field of transportation, in particular to a method and a system for evaluating the reasonability of geographic position description.
Background
With the increasing development of traffic management systems, people have higher requirements on the accuracy of geographic location description. Many people miss a network appointment, find a fellow peer, and even get lost because they cannot accurately describe the location. In particular, in the case of no markers or occlusions around the perimeter, it becomes important to accurately describe the geographical location. Currently, GPS positioning systems are widely used to determine geographical positions, but the positioning accuracy of GPS positioning systems may not be accurate enough, and the reference object for positioning may be hidden, so that the positioning result is not intuitive. Therefore, it is desirable to provide a method and a system for evaluating the rationality of geographic location description, so as to improve the accuracy of geographic location description and further improve the operation efficiency of a traffic information system.
Disclosure of Invention
A first aspect of the present application provides a method of assessing the plausibility of a geographical location description. The method is implemented by at least one processor, the method comprising: acquiring data to be evaluated, wherein the data to be evaluated comprises geographical location description, POI information corresponding to the geographical location description, and actual geographical location information to be referred by the geographical location description; comparing the relationship between the POI information and the actual geographic position information; and obtaining an evaluation result of the reasonableness of the geographic position description based on the comparison result.
In some embodiments, the data to be evaluated comprises a user-entered description of a geographic location; the method further comprises the following steps: and recommending the optimized geographical location description to the user based on the evaluation result.
In some embodiments, the data to be evaluated is obtained based on original evaluation data, where the original evaluation data is a plurality of pieces of history data randomly selected within a certain time.
In some embodiments, the obtaining the data to be evaluated based on the raw evaluation data comprises: and performing data processing on the original evaluation data to obtain a plurality of pieces of data to be evaluated, which meet a first preset condition.
In some embodiments, the first preset condition includes at least: in each piece of data to be evaluated, the frequency of occurrence of at least one of the geographical location description, the POI information, and the actual geographical location information in the original evaluation data is greater than a first threshold; and in each piece of data to be evaluated, the actual geographic position information at least comprises a map and/or a street view.
In some embodiments, the obtaining the evaluation result of the reasonableness of the geographic location description based on the comparison result comprises: comparing the relationship between the POI information and the actual geographical position information according to an evaluation principle to obtain the level of the geographical position description rationality; the evaluation principle at least comprises: determining the accuracy of the geographic location description based on the distance and/or location relationship of the POI information and the actual geographic location information; determining an ease of view of the geographic location description based on whether the POI information is easy to see in a street view of the actual geographic location information; determining the perceptibility of the geographical location description based on whether the POI information can correspond exactly to a place name in the street view.
In some embodiments, the condition that the geographic location description is accurate at least comprises: the distance between the POI information and the actual geographic position information is smaller than a second threshold value and/or no obstacle influencing traffic exists between the POI information and the actual geographic position information.
In some embodiments, the geographical location describes a level of rationality including: grade C: the following conditions are satisfied: the geographic location description is not readily visible; grade B: the following conditions are satisfied: the geographic location description is easy to see but not accurate; grade A-: at least one of the following conditions is satisfied: the geographic location description is easy to see and accurate but not perceptible; the geographic location description is easy to see and accurate, is perceptible, and has an optimization scheme; grade A +: the following conditions are satisfied: the geographic location description has accuracy, visibility and perceptibility, and no optimization scheme exists; the optimization scheme at least comprises: for the actual geographical location information, there is a geographical location description with better accuracy, visibility and perceptibility.
A second aspect of the present application provides a system for assessing the rationality of a geographical location description, comprising: the system comprises a to-be-evaluated data acquisition unit, a to-be-evaluated data acquisition unit and a to-be-evaluated data acquisition unit, wherein the to-be-evaluated data acquisition unit is used for acquiring to-be-evaluated data which comprises geographical position description, POI information corresponding to the geographical position description and actual geographical position information to be referred by the geographical position description; the comparison unit is used for comparing the relationship between the POI information and the actual geographic position information; and the evaluation result acquisition unit is used for obtaining the evaluation result of the reasonability of the geographic position description based on the comparison result of the comparison unit.
In some embodiments, the data to be evaluated comprises a user-entered description of a geographic location; the system further comprises a recommending unit for recommending the optimized geographical location description to the user based on the evaluation result.
In some embodiments, the to-be-evaluated data obtaining unit obtains the to-be-evaluated data based on original evaluation data, where the original evaluation data is a plurality of pieces of history data randomly selected within a certain time.
In some embodiments, the to-be-evaluated data obtaining unit performs data processing on the original evaluation data to obtain a plurality of pieces of to-be-evaluated data satisfying a first preset condition.
In some embodiments, the first preset condition includes at least: in each piece of data to be evaluated, the frequency of occurrence of at least one of the geographical location description, the POI information, and the actual geographical location information in the original evaluation data is greater than a first threshold; and in each piece of data to be evaluated, the actual geographic position information at least comprises a map and/or a street view.
In some embodiments, the evaluation result obtaining unit compares the relationship between the POI information and the actual geographical location information according to an evaluation principle to obtain a level of the geographical location description rationality; the evaluation principle at least comprises: determining the accuracy of the geographic location description based on the distance and/or location relationship of the POI information and the actual geographic location information; determining an ease of view of the geographic location description based on whether the POI information is easy to see in a street view of the actual geographic location information; determining the perceptibility of the geographical location description based on whether the POI information can correspond exactly to a place name in the street view.
In some embodiments, the condition that the geographic location description is accurate at least comprises: the distance between the POI information and the actual geographic position information is smaller than a second threshold value and/or no obstacle influencing traffic exists between the POI information and the actual geographic position information.
In some embodiments, the geographical location describes a level of rationality including: grade C: the following conditions are satisfied: the geographic location description is not readily visible; grade B: the following conditions are satisfied: the geographic location description is easy to see but not accurate; grade A-: at least one of the following conditions is satisfied: the geographic location description is easy to see and accurate but not perceptible; the geographic location description is easy to see and accurate, is perceptible, and has an optimization scheme; grade A +: the following conditions are satisfied: the geographic location description has accuracy, visibility and perceptibility, and no optimization scheme exists; the optimization scheme at least comprises: for the actual geographical location information, there is a geographical location description with better accuracy, visibility and perceptibility.
A third aspect of the present application provides an apparatus for assessing the plausibility of a geographical location description, the apparatus comprising at least one processor and at least one memory; the at least one memory is for storing computer instructions; the at least one processor is configured to execute at least some of the computer instructions to implement the operations described above.
A fourth aspect of the present application provides a computer-readable storage medium storing computer instructions that, when executed by a processor, perform the operations as described above.
A fifth aspect of the present application provides a geographic location description recommendation method, the method being implemented by at least one processor, the method comprising: receiving a geographical location description input by a user; obtaining a rationality evaluation result of the geographic location description; and recommending the optimized geographical location description to the user based on the evaluation result.
In some embodiments, the obtaining the rationality assessment result of the geographic location description comprises: sending the geographical location description to a server; and receiving a rationality evaluation result of the geographic position description returned by the server.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below. It is obvious that the drawings in the following description are only examples or embodiments of the application, from which the application can also be applied to other similar scenarios without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a schematic diagram of an application scenario of an evaluation system for geographic location description rationality according to some embodiments of the present application;
FIG. 2 is a schematic block diagram of an evaluation system for geographic location description plausibility in accordance with some embodiments of the present application;
FIG. 3 is an exemplary flow chart of a method of assessing the desirability of a geographic location description according to some embodiments of the present application;
FIG. 4 is an exemplary flow chart of a method for assessing the desirability of a geographic location description according to further embodiments of the present application.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below. It is obvious that the drawings in the following description are only examples or embodiments of the application, from which the application can also be applied to other similar scenarios without inventive effort for a person skilled in the art. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.
As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
Although various references are made herein to certain modules in a system according to embodiments of the present application, any number of different modules may be used and run on a vehicle client and/or server. The modules are merely illustrative and different aspects of the systems and methods may use different modules.
Flow charts are used herein to illustrate operations performed by systems according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.
Further, while the systems and methods herein are described primarily in terms of a network appointment service, it should also be understood that this is merely one exemplary embodiment. The systems and methods of the present application may be applicable to any other on-demand service. For example, the systems and methods of the present application may be applied to different transportation systems, including terrestrial, marine, aerospace, and the like, or any combination thereof. The vehicles used in the transportation system may include taxis, private cars, windmills, buses, trains, bullet trains, high-speed railways, subways, ships, airplanes, space vehicles, hot air balloons, unmanned vehicles, and the like, or any combination thereof. The transportation system may also include software systems to which the geographical description is applied, such as vehicle navigation, telemetry, satellite positioning, navigation software, among other applications.
FIG. 1 is a schematic diagram of an application scenario of an evaluation system for geographic location description rationality according to some embodiments of the present application.
As shown in FIG. 1, in some embodiments, a system 100 for assessing the rationality of a geographic location description may include a server 110, a network 120, a user terminal 130, and a storage device 140. In some embodiments, the server 110 may be configured to perform a comparative analysis process on the historical data of the actual geographic location information and the corresponding geographic location description to generate an evaluation result. The server 110 may be a single server or a group of servers. A group of servers may be centralized, such as a data center. A server farm may also be distributed, such as a distributed system. The server 110 may be local or remote. The server 110 may be used to process historical data of the obtained description of the geographical location to generate different evaluation results.
In some embodiments, the server 110 may include a control processor 112 for executing instructions (program code). For example, the control processor 112 can execute program instructions for evaluating the geographic location description, analyze the geographic location description through an algorithm to determine an evaluation result, and transmit the evaluation result to the user terminal 130.
In some embodiments, user terminal 130 may refer to an individual, tool, or other entity that issues a service request. In some embodiments, the user terminal 130 includes, but is not limited to, one or a combination of several of a cell phone 130-1, a tablet computer 130-2, a notebook computer 130-3, an in-vehicle system 130-4, and the like. The server 110 may access historical data of the geographic location description accessed or stored in the storage device 140 and may also transmit the evaluation results to the user terminal 130 via the network 120.
In some embodiments, storage device 140 may generally refer to a device having storage functionality. The storage device 140 is mainly used to store an actual geographical location transmitted from the user terminal 130 and various data generated in the operation of the server 110. The storage device 140 may be local or remote. The connection or communication between the system database and other modules of the system may be wired or wireless.
The network 120 may provide a conduit for the exchange of information. The network 120 may be a single network or a combination of networks. Network 120 may include, but is not limited to, one or a combination of local area networks, wide area networks, public networks, private networks, wireless local area networks, virtual networks, metropolitan area networks, public switched telephone networks, and the like. Network 120 may include a variety of network access points, such as wired or wireless access points, base stations (e.g., 120-1, 120-2), or network switching points, through which data sources connect to network 120 and transmit information through network 120.
In some embodiments, the geographic location description may be evaluated by the evaluation system 100 for the rationality of the geographic location description. The evaluation system 100 may rank the geographic location descriptions according to a certain rule (e.g., the degree of hotness of the geographic location descriptions). In some embodiments, the system 100 for evaluating the rationality of the geographical location description may obtain the geographical location description input by the user in real time, obtain the corresponding POI information and the actual geographical location information, obtain the evaluation result according to the POI information and the actual geographical location information, and recommend a better geographical location description to the user based on the evaluation result, thereby avoiding misunderstanding of understanding the location by different people. In some embodiments, the geographic location description rationality assessment system 100 may give the user the option of multiple geographic location descriptions simultaneously. In some embodiments, the system 100 for assessing the rationality of a geographic location description may be used in an online service platform for internet services. For example, the system 100 for assessing the rationality of the geographic location description may be an online transportation service platform for a transportation service. In some embodiments, the system 100 for assessing the rationality of a geographic location description may also be applied to network appointment services, such as taxi calls, express calls, special car calls, mini-bus calls, carpools, bus services, driver employment and pickup services, and the like. In some embodiments, the system 100 for assessing the rationality of the geographic location description may also be applied to designated driving, courier delivery, take-out delivery, and the like.
FIG. 2 is a schematic block diagram of an evaluation system for geographic location description plausibility in accordance with some embodiments of the present application.
As shown in fig. 2, in some embodiments, the system 200 for assessing the rationality of the geographic location description may include: a to-be-evaluated data obtaining unit 210, configured to obtain to-be-evaluated data, where the to-be-evaluated data includes a geographic location description, POI information corresponding to the geographic location description, and actual geographic location information to be referred by the geographic location description; a comparing unit 220, configured to compare a relationship between the POI information and the actual geographic location information; and an evaluation result obtaining unit 230, configured to obtain an evaluation result of the reasonableness of the geographic location description based on the comparison result of the comparing unit 220.
In some embodiments, the data to be evaluated obtaining unit 210 may obtain the data to be evaluated based on original evaluation data, where the original evaluation data is a plurality of pieces of history data within a certain time selected at random. For example, the original evaluation data is subjected to data processing, and a plurality of pieces of data to be evaluated satisfying a first preset condition are obtained. In some embodiments, the first preset condition includes at least: in each piece of data to be evaluated, at least one of the geographic position description, the POI information and the actual geographic position information appears more than a first threshold value; and in each piece of data to be evaluated, the actual geographic position information at least comprises a map and/or a street view.
In some embodiments, the evaluation result obtaining unit 230 may compare the relationship between the POI information and the actual geographical location information according to an evaluation principle to obtain a level of reasonableness of the geographical location description. In some embodiments, the evaluation principle includes at least: determining the accuracy of the geographic location description based on the distance and/or location relationship of the POI information and the actual geographic location information; determining an ease of view of the geographic location description based on whether the POI information is easy to see in a street view of the actual geographic location information; determining the perceptibility of the geographical location description based on whether the POI information can correspond exactly to a place name in the street view. In some embodiments, the condition that the geographic location description is accurate at least comprises: the distance between the POI information and the actual geographic position information is smaller than a second threshold value and/or no obstacle influencing traffic exists between the POI information and the actual geographic position information.
In some embodiments, the geographical location describes a level of rationality including: grade C: the following conditions are satisfied: the geographic location description is not readily visible; grade B: the following conditions are satisfied: the geographic location description is easy to see but not accurate; grade A-: at least one of the following conditions is satisfied: the geographic location description is easy to see and accurate but not perceptible; the geographic location description is easy to see and accurate, is perceptible, and has an optimization scheme; grade A +: the following conditions are satisfied: the geographic location description has accuracy, visibility and perceptibility, and no optimization scheme exists; the optimization scheme at least comprises: for the actual geographical location information, there is a geographical location description with better accuracy, visibility and perceptibility.
In some embodiments, the system 200 further comprises a recommending unit for recommending the optimized geographical location description to the user based on the evaluation result.
It should be understood that the system and its modules shown in FIG. 2 may be implemented in a variety of ways. For example, in some embodiments, the system and its modules may be implemented in hardware, software, or a combination of software and hardware. Wherein the hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory for execution by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the methods and systems described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided, for example, on a carrier medium such as a diskette, CD-or DVD-ROM, a programmable memory such as read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application may be implemented not only by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but also by software executed by various types of processors, for example, or by a combination of the above hardware circuits and software (e.g., firmware).
It should be noted that the above description of the system and its modules is merely for convenience of description and should not limit the present application to the scope of the illustrated embodiments. It will be appreciated by those skilled in the art that, given the teachings of the system, any combination of modules or sub-system configurations can be used to connect to other modules without departing from such teachings. For example, in some embodiments, the to-be-evaluated data obtaining unit 210, the comparing unit 220, and the evaluation result obtaining unit 230 disclosed in fig. 2 may be different units in a system, or may be a unit that implements the functions of two or more units described above. For another example, each unit may share one storage device 140, and each unit may have its own storage device 140. Such variations are within the scope of the present application.
FIG. 3 is an exemplary flow chart diagram illustrating steps implemented in a method for assessing the plausibility of a geographic location description according to some embodiments of the present application.
In other embodiments of the present application, a method of assessing the plausibility of a geographic location description is provided, which in some embodiments may be performed by the server 110. As shown in fig. 3, the method 300 may include the steps of:
301, acquiring data to be evaluated, where the data to be evaluated may include a geographical location description, POI information corresponding to the geographical location description, and actual geographical location information to be referred by the geographical location description; in some embodiments, this step may be performed by the data acquisition unit to be evaluated 210 in the system.
In some embodiments, the geographic location description may refer to user-entered location information. For example, the geographic location description may include, but is not limited to, any combination of one or more of text, pictures, voice, video, and the like. The POI information is information generated by the system after processing the description of the geographical location. The POI information may contain information of surrounding information elements that the system can retrieve. For example, POI information may include, but is not limited to, location name, location category, latitude and longitude, nearby landmark buildings, nearby hotel restaurants, shops, and the like. In some embodiments, the POI information may be information retrieved based on keyword matching techniques that has a name that is the same as or similar to the search keyword. For example, the actual distances between POI information points a and B are only 5 meters apart, A, B two POI information points can be interchanged. The actual geographical position is the real position to be described by the user. In some embodiments, the actual geographic location of the user may be obtained by a positioning device on user terminal 130. For example, the location information of the user is acquired using a GPS positioning device on the user terminal 130. In some embodiments, the actual geographic location of the user may also be obtained by the signal base station used by the user terminal 130. For example, with multiple signal base stations used by the user terminal 130, the location of the user is determined based on the time calculation communicated by the signal base stations.
In some embodiments, the data to be evaluated obtaining unit 210 may obtain, in real time, the geographic location description input by the user, and determine it as the data to be evaluated. For example, when a user needs to initiate a network appointment order, a geographic location description of the starting location or current location is entered using the network appointment application. For another example, when a user needs to navigate or locate, a geographic location description of their current location is entered using an electronic map.
In some embodiments, the data to be evaluated may be obtained based on raw evaluation data. The original evaluation data refers to a plurality of pieces of historical data which are randomly selected in a certain time and are not processed by any data. The raw assessment data may be the most basic data but must include information of the user's actual geographic location and information describing the geographic location. Taking the historical data of the network appointment software as an example, 200 pieces of data can be randomly selected from the historical data of 2000 taxi taking orders in the last week. The 200 pieces of data actually contain information such as order id, city, call url (i.e. the position information of the call record on the internet), accumulated unit amount of site, user description getting-on position, actual getting-on position, and the like. Since these 200 pieces of data include the description of the geographic location (the user describes the boarding location) and the actual geographic location information (the actual boarding location), these 200 pieces of data may be referred to as raw evaluation data. In some embodiments, the user's actual geographic location information may also be obtained indirectly through other means. For example, by numbering stations in some way, the user directly selects the correspondingly coded station as the actual car position.
In some embodiments, the to-be-evaluated data obtaining unit 210 may process the original evaluation data by setting a first preset condition to obtain the to-be-evaluated data. In some embodiments, the first predetermined condition may screen out superfluous data. For example, street view data before 6 months of 2015 has no reference value, and setting the first preset condition can exclude the data to obtain updated street view data. In some embodiments, the first preset condition may also select some specific data. For example, by setting a first preset condition, the data-to-be-evaluated acquisition unit 210 can acquire data with a higher degree of heat.
In some embodiments, the first preset condition may include, but is not limited to: in each piece of data to be evaluated, the frequency of occurrence of at least one of the geographical location description, the POI information, and the actual geographical location information in the original evaluation data is greater than a first threshold; and in each piece of data to be evaluated, the actual geographic position information at least comprises a map and/or a street view. It is noted that the first threshold value is not necessarily a fixed value. For example, as the base of the original assessment data increases, the absolute value of the first threshold increases. Also for example, the first threshold may be a proportion of occurrences of the geographic location description. For another example, the original evaluation data may be sorted, and the data sorted before (or after) the first threshold may be selected as the data to be evaluated.
And step 303, comparing the relationship between the POI information and the actual geographic position information. In some embodiments, this step may be performed by the comparison unit 220 in the system 200.
Taking the car booking service as an example, the POI information and the actual geographical location information may be compared in the navigation system to obtain the relationship between the two in spatial location. The relationship between the two in space position includes but is not limited to: absolute length between the two, actual distance between the two, number of obstacles between the two, difference in landmark buildings between the two, etc. In some embodiments, the comparison unit 220 may obtain the relationship between the POI information and the actual geographic location information by route planning, distance calculation, obstacle identification, and the like. For example, the POI information and the actual geographic location information are put into a navigation system for route planning, so that the spatial relationship between the POI information and the actual geographic location information can be known. In some embodiments, the comparing unit 220 may further retrieve a map or a street view of the actual geographic location information, search for the POI information corresponding to the actual geographic location information, and determine a location relationship between the POI information corresponding to the geographic location description and the actual geographic location information by comparing the two POI information (the POI information corresponding to the actual geographic location information and the POI information corresponding to the geographic location description). In some embodiments, the comparison between the two pieces of POI information may also be implemented by using an image comparison technology, and the comparison unit 220 may also obtain the relationship between the two pieces of POI information by comparing the key buildings in the street view, so as to deduce the relationship between the POI information corresponding to the geographical location description and the actual geographical location information.
And 305, obtaining an evaluation result of the reasonability of the geographic position description based on the comparison result. In some embodiments, this step may be performed by the evaluation result acquisition unit 230 in the system 200.
In some embodiments, based on the comparison result of step 303, the evaluation result obtaining unit 230 may determine the reasonableness of the geographical location description and output a determination level.
In step 305, an evaluation principle needs to be determined. In some embodiments, the evaluation criteria include, but are not limited to: determining the accuracy of the geographic location description, determining the ease of visibility of the geographic location description, determining the perceptibility of the geographic location description, and the like. The accuracy of the geographical location description refers to the distance and the location relationship between the POI information and the actual geographical location. Such as whether two places are directly accessible, how many intermediate obstacles, etc. The ease of visibility of the geographic location description refers to whether the location indicated by the geographic location description is visible in street view, with or without occlusion within the field of view. In some embodiments, the system may build a database of pictures about street views, and automatically determine whether the POI information can find the corresponding street view picture in the picture database based on image recognition techniques. For example, if the POI information corresponding to the geographical location description given by the system has a clear identifier on the street view picture and no occlusion exists around the POI information, the given geographical location description has visibility; otherwise, it is not easy to see. The perceptibility of the geographical location description refers to whether the POI information can exactly correspond to a certain place name in the street view. In other words, the geographic location description with perceptibility can correspond exactly to the street view, without multiple similar places. In some embodiments, the system may obtain a picture of the relevant street view, and automatically determine whether the POI information can find a place name explicitly corresponding to the POI information in the picture based on an image recognition technology, such as an OCR technology. In some embodiments, the system may also establish a database of names of places with respect to street view, and automatically determine whether the POI information in the database corresponds exactly to a unique place name, thereby determining the perceptibility of the POI information. For example, the geographic location is described as a Beijing university subway station port, but the Beijing university subway station port has a plurality of station ports which can be matched with the Beijing university subway station port and has no perceptibility. On the contrary, the description of the geographic position is positioned at the exit of the Beijing university subway station A, and the perceptibility is realized. In some embodiments, the evaluation result obtaining unit 230 may further score the data to be evaluated according to an evaluation principle, and obtain an evaluation result of the rationality of the geographic location description according to the scoring result.
In some embodiments, the evaluation principle may determine whether the geographic location description is accurate by setting a threshold. In some embodiments, the accuracy of the geographic location description may be determined by determining whether the geographic location description is a long-range name description. Distant name descriptions, i.e., POI information is far from the actual geographic location. For example, a second threshold may be set in the evaluation rule to describe the maximum straight-line distance between the POI information and the actual geographical location information. And the POI information with the distance from the actual geographic position information smaller than a second threshold value has accuracy in geographic position description. If the distance between the POI information and the actual geographic location information is 60 meters, and the second threshold value corresponding to the accuracy is 50 meters, the geographic location description has no accuracy.
In some embodiments, it may also be determined whether the geographic location description is accurate by determining whether the geographic location description is descriptive of a cross-road name. The cross-road name description means that there is no obstacle affecting traffic between the POI information and the actual geographical location information, the obstacle affecting traffic is an obstacle that cannot cross, and the obstacle that cannot cross includes crossing two bidirectional links (a link refers to a section of road, which is a basic unit of a road model in a navigation system), crossing a cell external wall, crossing a mall external wall, crossing a high-grade road (also called an advanced road, which refers to a road built by adopting high design requirements and high construction standards so as to have high traffic capacity, including an expressway, a first-grade road and a very small number of high-grade secondary roads), and the like. It should be noted that the following cases do not belong to obstacles affecting traffic: no road crossing is calculated from the auxiliary road to the main road (on the same side), and no road crossing is calculated across a single link (only one link in a map) at a low level. For example, the geographic location is described as: the Beijing university of Job technology-Beijing biology research institute, POI point is opposite to the road of the getting-on point (actual geographic location), and this kind of situation belongs to the name description of crossing the road, namely there is the barrier that influences the traffic.
In some embodiments, evaluation principles may also be added to determine the ease of description of the geographic location. In some embodiments, the lack of visibility includes: the geographic location is described inside a broad AOI (broad POI consisting of multiple buildings, with multiple exits, or roads inside) with no street visibility, such as (underpership, e.g., B1, level 2 and above). For example, the geographic location is described as: in the jingle hotel, the POI spot cannot be seen in the street view, for example, the corresponding street view picture cannot be retrieved from the street view picture database established by the system, and the geographic location description is not easy to see. For another example, a large drugstore in the POI information is indicated as a landmark building, in the actual geographic location information, a store of the drugstore is clearly visible, and no shielding object is arranged around the store to shield the sign, so that the geographic location description is easy to see; otherwise, it is not easy to see. It should be noted that the following does not pertain to a broad AOI: the wide POI is only an exit and is not wide; the POI information has 2 sub-point information, but one of the sub-point information is obviously wrong and is not wide. For example, a sub-point is on an inside road, not along a street road, and does not count as well as a correct sub-point. For example, the child point is not on an inside road, but on a street road, but is not actually opened throughout the year (it can be judged by the heat degree, there is no history of the heat degree), and the correct child point is not calculated.
In some embodiments, evaluation principles may also be added to determine the perceptibility of the geographic location description. The absence of perceptibility means that the POI exists in the map, but it cannot be clearly determined whether the POI location corresponds to the geographic location description in reality, and is often used to describe a core gateway, such as "south door", and "certain intersection". For example, the POI information is a middle dam station, but in fact, the on-road bus board corresponding to the street view picture is displayed as the middle dam subway station, and the POI information and the place name cannot be accurately corresponding, i.e. have no perceptibility; otherwise, it has perceptibility.
In some embodiments, the output of step 305 is an evaluation level, each evaluation level can satisfy a plurality of evaluation principles, which are implemented as follows:
grade C: the geographical location description is not readily visible. The information corresponding to the level C cannot correspond to the actual geographical location information at all, and the landmark is not visible at all. These geographical location descriptions are invisible in street view, and need to be optimized urgently.
Grade B: the description of the geographic location is easy to see but not precise. For example, the geographic location of level B describes that there is an obstacle (which cannot cross the obstacle, such as crossing a highway, a cell wall, a river, etc.) between the corresponding POI information and the actual geographic location information. As another example, the absolute distance between the POI information corresponding to the geographical location description and the actual geographical location information is too far.
Grade A-: satisfying at least one of the following conditions, a) easy visibility and accuracy but no perceptibility of the geographical location description; B) the geographical location description is easy to see and accurate, and is perceptible but an optimization scheme exists. The optimization scheme at least comprises the following steps: for the actual geographical location information, there is a geographical location description with better accuracy, visibility and perceptibility. For example, the original name is 'good and fragrant restaurant', but the geographic location description of chain brands such as 'kentucky' is not used, namely, an optimization scheme exists. The geographical location description of level a-may also be a place to which the geographical location description does not correspond exactly, and the name reference is imprecise and has no perceptibility. For example, the geographic location description information is Lu river Nayun south-North Gate, which does exist in reality, but the user cannot correspond to whether the gate is North or North.
Grade A +: the geographic location description has accuracy, visibility and perceptibility, and no optimization scheme exists. In some embodiments, the geographical description information of the level a + is the optimal geographical location description of the current area, and the name description is accurate and error-free, and is easy to see and highly perceptible.
FIG. 4 is an exemplary flowchart illustrating steps performed by a method for assessing the plausibility of a geographic location description according to further embodiments of the present application.
In other embodiments, the method of assessing the rationality of a geographical location description is implemented as the steps shown in FIG. 4. Taking the description of the vehicle-loading point of the network appointment vehicle as an example, the specific method is as follows: obtaining a large amount of name data of the boarding points, judging the visibility of the geographic position description, and if the geographic position description does not have the visibility, describing the geographic position as a C level; and if so, entering accuracy judgment. If the geographical location description with the visibility does not have the accuracy, the level B is met; and if the geographical location description with the visibility also has the accuracy, entering the perceptibility judgment. If the geographic location description has accuracy and visibility but no perceptibility or meets the perceptibility but has an optimization scheme, the level A-is met; the geographical location description is ranked a + if it is accurate, easy to see, and perceptible, and no optimization exists.
It should be noted that, on the basis of the present application, those skilled in the art can make various reasonable changes to the technical solution of the present application. For example, the evaluation principle, the number of the evaluation principles, and the number of the grades may be specifically set according to actual needs, for example, the grades may be a-G. Such variations are intended to be within the scope of the present application.
In some embodiments, the method of assessing the plausibility of a geographical location description may further comprise adjusting the geographical location description. Specifically, the method for evaluating the rationality of the geographical location description may calculate a correlation index of the data to be evaluated of each level (for example, a ratio of the data to be evaluated of each level in the number of all the data to be evaluated), and adjust the geographical location description based on the ratio. In some embodiments, the data to be evaluated may have different ratios. For example, name optimal rate, calculation mode: number of a + class/total number of assessments. For another example, the name reasonable rate, the calculation method: class a number/total number of assessments. For another example, the name average rate, calculation method: number of classes C (or number of classes C + D)/total number of assessments. In some embodiments, the overall result of the geographic location description can be analyzed by analyzing one or more proportions of data to be evaluated, thereby adjusting the geographic location description.
It should be noted that, on the basis of the present application, those skilled in the art can make various reasonable changes to the technical solution of the present application. For example, a statistical manner of the data to be evaluated, a statistical rule of the data to be evaluated, and the like may be specifically set according to actual needs, and for example, a common mathematical statistical means such as variance, linear fitting, and the like may be adopted as the data statistical manner. For another example, the evaluation method may be optimized by counting the variation trend of each group of statistical data over a time period. Such variations are intended to be within the scope of the present application.
In some embodiments, the method of assessing the plausibility of a geographical description may further comprise recommending an optimized geographical description to the user. The evaluation result obtaining unit 230 may continuously monitor relevant indexes of data to be evaluated (for example, historical data collected within the last 1 month), thereby feeding back the condition of name quality and recommending an optimized geographic location description to a user who inputs the geographic location description. In some embodiments, the evaluation result obtaining unit 230 contains a corresponding name database. This name database stores historical data describing geographic locations. When the geographic location changes (for example, the road name changes, etc.) or the POI information automatically matched by the system is not reasonable, the evaluation result obtaining unit 230 automatically matches the POI information closest to the actual geographic location information in the database or optimizes the updated POI information to the user, where the recommendation form may include recommending an optimal solution, or recommending multiple solutions for the user to select. In some embodiments, the data in the name database in the evaluation result obtaining unit 230 may be obtained and updated iteratively based on satellite remote sensing, street view identification, and other techniques.
It should be noted that the above description of the flow is for illustration and description only and does not limit the application scope of the present application. Various modifications and alterations to the flow may occur to those skilled in the art, given the benefit of this disclosure. However, such modifications and variations are intended to be within the scope of the present application.
In further embodiments of the present application, there is provided an apparatus for assessing the plausibility of a geographical location description, the apparatus comprising at least one processor and at least one memory; the at least one memory is for storing computer instructions; the at least one processor is configured to execute at least some of the computer instructions to implement the operations described above.
In still other embodiments of the present application, a computer-readable storage medium is provided that stores computer instructions that, when executed by a processor, implement the operations described above.
In other embodiments of the present application, a geographic location description recommendation method is provided, which may be performed by the user terminal 130 in some embodiments. The method comprises the following steps: receiving a geographical location description input by a user; obtaining a rationality evaluation result of the geographic location description; and recommending the optimized geographical location description to the user based on the evaluation result.
In some embodiments, the obtaining the rationality assessment result of the geographic location description comprises: sending the geographical location description to a server; and receiving a rationality evaluation result of the geographic position description returned by the server.
It should be noted that the above description is merely for convenience and should not be taken as limiting the scope of the present application. It will be understood by those skilled in the art that various changes and modifications in form and detail may be made in the implementation of the above-described processes without departing from the principles of the present application. However, such changes and modifications do not depart from the scope of the present application.
The beneficial effects that may be brought by the embodiments of the present application include, but are not limited to: (1) by comparing POI information with actual geographic position information, the rationality of geographic position description can be evaluated, and the problem of low driving receiving efficiency caused by different understanding of a driver and passengers on a driving point is solved; (2) randomly extracting a period of historical finished orders as original evaluation data, and further processing the data to be evaluated to obtain data to be evaluated, so that data which are more in line with the real feeling of a user and have evaluation value are selected; (3) and comprehensively evaluating the rationality of the geographic position description from the three aspects of accuracy, visibility and perceptibility, and quickly and accurately judging the rationality of the geographic position description.
It is to be noted that different embodiments may produce different advantages, and in different embodiments, any one or combination of the above advantages may be produced, or any other advantages may be obtained.
The foregoing describes the present application and/or some other examples. The present application can be modified in various ways in light of the above. The subject matter disclosed herein can be implemented in various forms and examples, and the present application can be applied to a wide variety of applications. All applications, modifications and variations that are claimed in the following claims are within the scope of this application.
Also, this application uses specific language to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment," or "one embodiment," or "an alternative embodiment," or "another embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.
Those skilled in the art will appreciate that various modifications and improvements may be made to the disclosure herein. For example, the different system components described above are implemented by hardware devices, but may also be implemented by software solutions only. For example: the system is installed on an existing server. Further, the location information disclosed herein may be provided via a firmware, firmware/software combination, firmware/hardware combination, or hardware/firmware/software combination.
All or a portion of the software may sometimes communicate over a network, such as the internet or other communication network. Such communication enables loading of software from one computer device or processor to another. For example: from a management server or host computer of the radiation therapy system to a hardware platform of a computer environment, or other computer environment implementing the system, or similar functionality associated with providing information needed to determine wheelchair target structural parameters. Thus, another medium capable of transferring software elements may also be used as a physical connection between local devices, such as optical, electrical, electromagnetic waves, etc., propagating through cables, optical cables, or the air. The physical medium used for the carrier wave, such as an electric, wireless or optical cable or the like, may also be considered as the medium carrying the software. As used herein, unless limited to a tangible "storage" medium, other terms referring to a computer or machine "readable medium" refer to media that participate in the execution of any instructions by a processor.
Computer program code required for the operation of various portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, Ruby, and Groovy, or other programming languages, and the like. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service using, for example, software as a service (SaaS).
Additionally, the order in which elements and sequences of the processes described herein are processed, the use of alphanumeric characters, or the use of other designations, is not intended to limit the order of the processes and methods described herein, unless explicitly claimed. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in the preceding description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Numbers describing attributes, quantities, etc. are used in some embodiments, it being understood that such numbers used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the number allows a variation of ± 20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.
Each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, articles, and the like, cited in this application is hereby incorporated by reference in its entirety. Except where the application is filed in a manner inconsistent or contrary to the present disclosure, and except where the claim is filed in its broadest scope (whether present or later appended to the application) as well. It is noted that the descriptions, definitions and/or use of terms in this application shall control if they are inconsistent or contrary to the statements and/or uses of the present application in the material attached to this application.
Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present application. Other variations are also possible within the scope of the present application. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the present application can be viewed as being consistent with the teachings of the present application. Accordingly, embodiments of the present application are not limited to those explicitly described and depicted herein.
Claims (13)
1. A method for assessing the rationality of a geographical location description, the method being implemented by at least one processor, the method comprising:
Acquiring data to be evaluated, wherein the data to be evaluated comprises geographical location description, POI information corresponding to the geographical location description, and actual geographical location information to be referred by the geographical location description;
comparing the relationship between the POI information and the actual geographic position information;
and obtaining an evaluation result of the reasonableness of the geographic position description based on the comparison result.
2. The method of claim 1, wherein the data to be evaluated comprises a user-entered description of a geographic location;
the method further comprises the following steps: and recommending the optimized geographical location description to the user based on the evaluation result.
3. The method according to claim 1, wherein the data to be evaluated is obtained based on raw evaluation data, which is a plurality of pieces of history data randomly selected within a certain time.
4. The method of claim 3, wherein the obtaining the data to be evaluated based on the raw evaluation data comprises: and performing data processing on the original evaluation data to obtain a plurality of pieces of data to be evaluated, which meet a first preset condition.
5. The method according to claim 4, characterized in that said first preset conditions comprise at least:
In each piece of data to be evaluated, the frequency of occurrence of at least one of the geographical location description, the POI information, and the actual geographical location information in the original evaluation data is greater than a first threshold;
and in each piece of data to be evaluated, the actual geographic position information at least comprises a map and/or a street view.
6. The method of claim 1, wherein obtaining the evaluation of the plausibility of the geographic location description based on the comparison comprises:
comparing the relationship between the POI information and the actual geographical position information according to an evaluation principle to obtain the level of the geographical position description rationality;
the evaluation principle at least comprises: determining the accuracy of the geographic location description based on the distance and/or location relationship of the POI information and the actual geographic location information; determining an ease of view of the geographic location description based on whether the POI information is easy to see in a street view of the actual geographic location information; determining the perceptibility of the geographical location description based on whether the POI information can correspond exactly to a place name in the street view.
7. The method according to claim 6, wherein the condition that the geographic location description is accurate at least comprises: the distance between the POI information and the actual geographic position information is smaller than a second threshold value and/or no obstacle influencing traffic exists between the POI information and the actual geographic position information.
8. The method of claim 6, wherein the geographic location describes a level of rationality comprising:
grade C: the following conditions are satisfied: the geographic location description is not readily visible;
grade B: the following conditions are satisfied: the geographic location description is easy to see but not accurate;
grade A-: at least one of the following conditions is satisfied: the geographic location description is easy to see and accurate but not perceptible; the geographic location description is easy to see and accurate, is perceptible, and has an optimization scheme;
grade A +: the following conditions are satisfied: the geographic location description has accuracy, visibility and perceptibility, and no optimization scheme exists;
the optimization scheme at least comprises: for the actual geographical location information, there is a geographical location description with better accuracy, visibility and perceptibility.
9. A system for assessing the rationality of a geographic location description, comprising:
the system comprises a to-be-evaluated data acquisition unit, a to-be-evaluated data acquisition unit and a to-be-evaluated data acquisition unit, wherein the to-be-evaluated data acquisition unit is used for acquiring to-be-evaluated data which comprises geographical position description, POI information corresponding to the geographical position description and actual geographical position information to be referred by the geographical position description;
The comparison unit is used for comparing the relationship between the POI information and the actual geographic position information; and
and the evaluation result acquisition unit is used for obtaining an evaluation result of the reasonability of the geographic position description based on the comparison result of the comparison unit.
10. An apparatus for assessing the rationality of a geographical location description, the apparatus comprising at least one processor and at least one memory;
the at least one memory is for storing computer instructions;
the at least one processor is configured to execute at least some of the computer instructions to implement the operations of any of claims 1 to 8.
11. A computer-readable storage medium, characterized in that the storage medium stores computer instructions, which when executed by a processor, implement the operations of any one of claims 1 to 8.
12. A geographic location description recommendation method, the method implemented by at least one processor, the method comprising:
receiving a geographical location description input by a user;
obtaining a rationality evaluation result of the geographic location description;
and recommending the optimized geographical location description to the user based on the evaluation result.
13. The method according to claim 12, wherein the obtaining the rationality assessment result of the geographical location description comprises:
sending the geographical location description to a server;
and receiving a rationality evaluation result of the geographic position description returned by the server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910847844.2A CN111854778B (en) | 2019-09-09 | 2019-09-09 | Method and system for evaluating rationality of geographic position description |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910847844.2A CN111854778B (en) | 2019-09-09 | 2019-09-09 | Method and system for evaluating rationality of geographic position description |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111854778A true CN111854778A (en) | 2020-10-30 |
| CN111854778B CN111854778B (en) | 2022-05-17 |
Family
ID=72970723
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910847844.2A Active CN111854778B (en) | 2019-09-09 | 2019-09-09 | Method and system for evaluating rationality of geographic position description |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111854778B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001175662A (en) * | 1999-12-14 | 2001-06-29 | Sony Corp | Position information describing method, device and method for position information processing, and data recording medium |
| CN104572956A (en) * | 2014-12-29 | 2015-04-29 | 北京奇虎科技有限公司 | System and method for confirming POI information effectiveness |
| CN105095205A (en) * | 2014-04-17 | 2015-11-25 | 阿里巴巴集团控股有限公司 | Method and device for address location |
| CN106844604A (en) * | 2017-01-17 | 2017-06-13 | 维沃移动通信有限公司 | The information providing method and mobile terminal of electronic map |
| CN106886532A (en) * | 2015-12-16 | 2017-06-23 | 北京奇虎科技有限公司 | Mode and device based on Authoritative Web pages checking POI data accuracy |
-
2019
- 2019-09-09 CN CN201910847844.2A patent/CN111854778B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001175662A (en) * | 1999-12-14 | 2001-06-29 | Sony Corp | Position information describing method, device and method for position information processing, and data recording medium |
| CN105095205A (en) * | 2014-04-17 | 2015-11-25 | 阿里巴巴集团控股有限公司 | Method and device for address location |
| CN104572956A (en) * | 2014-12-29 | 2015-04-29 | 北京奇虎科技有限公司 | System and method for confirming POI information effectiveness |
| CN106886532A (en) * | 2015-12-16 | 2017-06-23 | 北京奇虎科技有限公司 | Mode and device based on Authoritative Web pages checking POI data accuracy |
| CN106844604A (en) * | 2017-01-17 | 2017-06-13 | 维沃移动通信有限公司 | The information providing method and mobile terminal of electronic map |
Non-Patent Citations (1)
| Title |
|---|
| 才鑫: ""基于移动数据分析的POI识别方法的研究与实现"", 《辽宁省通信学会2017年通信网络与信息技术年会》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111854778B (en) | 2022-05-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10922708B2 (en) | Method and system for avoidance of parking violations | |
| US9997071B2 (en) | Method and system for avoidance of parking violations | |
| Chung et al. | A trip reconstruction tool for GPS-based personal travel surveys | |
| JP6904637B2 (en) | Systems and methods for determining transport stop locations | |
| US9689693B2 (en) | Systems and methods for learning and displaying customized geographical navigational options | |
| US9301099B2 (en) | Method of analyzing points of interest with probe data | |
| US9580079B2 (en) | Dynamic driving range maps for improving driving range anxiety | |
| US9208478B2 (en) | Posted message providing system, posted message providing apparatus, posted message providing method, and computer program | |
| DE602004011153T2 (en) | An apparatus, system and method for processing statistical traffic information | |
| EP3683549B1 (en) | Method, apparatus, and computer program product for lane-level route guidance | |
| US20170059347A1 (en) | Determining Improved Pick-Up Locations | |
| US20160196747A1 (en) | System and Method for Locating Available Parking Spaces | |
| US20090119001A1 (en) | Method and system for finding multimodal transit route directions based on user preferred transport modes | |
| CN110945501A (en) | System and method for recommending destination | |
| CN102538810A (en) | Human emotion metrics for navigation plans and maps | |
| US10982969B2 (en) | Method, apparatus, and computer program product for lane-level route guidance | |
| CN111859185A (en) | Method, system and device for recommending boarding points and storage medium | |
| US20200166356A1 (en) | Method, apparatus, and computer program product for predicting range of an electric vehicle | |
| US9817907B1 (en) | Using place of accommodation as a signal for ranking reviews and point of interest search results | |
| JP2022093346A (en) | Information processing system, information processing program, and information processing method | |
| CN111859184A (en) | Boarding point recommendation method and system | |
| CN111859180A (en) | Boarding point recommendation method and system | |
| US10460410B1 (en) | Location services platform, apparatus and method for informing law enforcement personnel placement | |
| US20200109960A1 (en) | Toll tracking and estimating system | |
| CN111854778B (en) | Method and system for evaluating rationality of geographic position description |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |