CN109945883B - Information processing method and device and electronic equipment - Google Patents
Information processing method and device and electronic equipment Download PDFInfo
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- CN109945883B CN109945883B CN201910250024.5A CN201910250024A CN109945883B CN 109945883 B CN109945883 B CN 109945883B CN 201910250024 A CN201910250024 A CN 201910250024A CN 109945883 B CN109945883 B CN 109945883B
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Abstract
The application discloses an information processing method, an information processing device and electronic equipment. According to the scheme, the passing time of the target route is not predicted only according to the current road condition information, but the time of the sub-route which needs to pass through first is predicted based on the current road condition information, and the time of the sub-route which needs to pass through after a certain time is predicted based on the historical road condition information, so that the passing time is predicted more reasonably, and the finally predicted and determined passing time is more accurate.
Description
Technical Field
The present application relates to an intelligent service technology, and more particularly, to an information processing method and apparatus, and an electronic device.
Background
People often use navigation applications when driving for travel to facilitate themselves to schedule time reasonably and to reach a destination as soon as possible. When using the navigation service, after the user enters the destination, the service will return to the recommended route and give the predicted route time.
However, the current navigation system can only display road conditions and predict the time consumption of the route based on the route traffic condition of the user at the navigation time, the traffic condition in the real situation changes in real time, and the information that the user wants to know may be more complicated, so the current navigation system cannot meet the diversified requirements of the user.
Disclosure of Invention
In view of this, the present application provides an information processing method, an information processing apparatus, and an electronic device:
an information processing method, the method comprising:
acquiring a first position and a second position;
determining a target route from the first location to the second location;
dividing the target route into at least two sub-segments based on a segmentation rule, the at least two sub-segments including a first sub-segment and a second sub-segment;
determining a predicted time of each of the at least two sub-road sections, wherein the first predicted time of the first sub-road section is a predicted passing time determined based on real-time traffic information of the first sub-road section; the second predicted time of the second sub-section is a predicted passing time determined based on historical road condition information of the second sub-section; the second sub-segment is located after the first sub-segment;
obtaining a predicted total passing time of the target route based on the predicted passing time of each of the at least two sub-road segments.
Optionally, the segmentation rule includes whether the predicted passing time determined based on the real-time traffic information is greater than a segmentation threshold.
Optionally, the method further includes:
if the target route meets the segmentation rule, executing the step of dividing the target route into at least two sub-road segments based on the segmentation rule;
and if the target route does not meet the segmentation rule, the total predicted passing time of the target route is the predicted passing time determined based on the real-time road condition information.
Optionally, the dividing the target route into at least two sub-routes based on the segmentation rule includes:
and dividing the predicted passing time of the target route determined based on the real-time road condition information and the segmentation threshold into a route within the segmentation threshold and a route exceeding the segmentation threshold, wherein the route within the segmentation threshold is the first sub-road section, and the route exceeding the segmentation threshold is the second sub-road section.
Optionally, the method further includes:
updating the first sub-road section and the second sub-road section along with the change of the real-time road condition information;
or the like, or, alternatively,
in the case of navigation based on the target route, the first sub-segment and the second sub-segment are updated as navigation information is updated.
Optionally, after obtaining the total predicted passing time of the target route based on the predicted passing time of each of the at least two sub-road segments, the method further includes:
and displaying the predicted passing time of each sub-road section and the predicted total passing time of the target route.
An information processing apparatus, the apparatus comprising:
the position acquisition module is used for acquiring a first position and a second position;
a route determination module to determine a target route from the first location to the second location;
a segment dividing module for dividing the target route into at least two sub-segments based on a segmentation rule, the at least two sub-segments including a first sub-segment and a second sub-segment;
the first time prediction module is used for determining the predicted time of each of the at least two sub-road sections, wherein the first predicted time of the first sub-road section is the predicted passing time determined based on the real-time road condition information of the first sub-road section; the second predicted time of the second sub-section is a predicted passing time determined based on historical road condition information of the second sub-section; the second sub-segment is located after the first sub-segment;
and the second time prediction module is used for obtaining the predicted total passing time of the target route based on the predicted passing time of each of the at least two sub-road sections.
Optionally, the segmentation rule includes whether the predicted passing time determined based on the real-time traffic information is greater than a segmentation threshold.
Optionally, the method further includes:
the rule judging module is used for judging whether the target route meets the segmentation rule or not;
the road section dividing module is used for dividing the target route into at least two sub road sections based on a segmentation rule when the judgment result of the rule judging module is yes;
the segment division module is further configured to: and when the judgment result of the rule judgment module is negative, determining the total predicted passing time of the target route based on the real-time road condition information.
An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to execute the executable instructions to perform the method of location information prompting of any of claims 1-6.
Compared with the prior art, the embodiment of the application discloses an information processing method, an information processing device and an electronic device, and the method comprises the steps of firstly acquiring a first position and a second position, determining a target route from the first position to the second position, then dividing the target route into at least two sub-segments based on a segmentation rule, the at least two sub-segments including a first sub-segment and a second sub-segment, determining a predicted time for each of the at least two sub-segments, wherein the first predicted time of the first sub-section is a predicted passing time determined based on real-time traffic information of the first sub-section, and the second predicted time of the second sub-road section is predicted passing time determined based on historical road condition information of the second sub-road section, and finally, the predicted total passing time of the target route is obtained based on the predicted passing time of each of the at least two sub-road sections. According to the information processing method, the device and the electronic equipment, the passing time of the target route is not predicted only according to the current road condition information, but is more practical, the time of the sub-route which needs to pass through first is predicted based on the current road condition information, and the time of the sub-route which needs to pass through after a certain time is predicted based on the historical road condition information.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of an information processing method disclosed in an embodiment of the present application;
FIG. 2 is a schematic diagram of a sub-segment segmentation disclosed in an embodiment of the present application;
fig. 3 is a schematic view of another sub-segment division disclosed in the embodiment of the present application;
FIG. 4 is a flow chart of another information processing method disclosed in the embodiments of the present application;
FIG. 5 is a flowchart of another information processing method disclosed in an embodiment of the present application;
fig. 6 is a schematic structural diagram of an information processing apparatus according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of another information processing apparatus disclosed in an embodiment of the present application;
fig. 8 is a schematic structural diagram of another information processing apparatus disclosed in the embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a flowchart of an information processing method disclosed in an embodiment of the present application, and referring to fig. 1, the information processing method may include:
step 101: a first location and a second location are obtained.
The first position and the second position are different. The first location and the second location may be determined by user input or by positioning by a positioning device. For example, if the user inputs a desired destination in the navigation application and directly clicks "start navigation" after searching, the current location of the user located by the positioning device is the first location, and the destination is the second location. As another example, if the user directly inputs a starting place name and an arrival place name in the navigation application, the starting place name and the arrival place name may be the first location and the second location, respectively.
In this embodiment, the first position and the second position may be obtained in various manners, such as by a positioning device, a voice collecting and recognizing device, and an input device, and the specific implementation of the first position and the second position is not limited in this embodiment.
Step 102: a target route from the first location to the second location is determined.
In practical situations, there may be a plurality of routes from the first location to the second location, and the system may automatically select and determine a target route recommendation according to user preferences, such as no-walk high speed, high speed priority, shortest distance, congestion avoidance, and the like, and display the target route recommendation to the user. Of course, the target route may also be another route from the first location to the second location that is manually switched by the user after the navigation application recommends a route from the first location to the second location to the user.
Step 103: the target route is divided into at least two sub-segments based on a segmentation rule, the at least two sub-segments including a first sub-segment and a second sub-segment.
In the following embodiments, different segmentation rules and a specific process of segmenting the target route according to the different segmentation rules will be described in detail.
In this embodiment, the target route is divided into at least two sub-segments according to the segmentation rule, and specifically, how many sub-segments are divided may be determined according to system settings and the length of the target route.
Step 104: determining a predicted time of each of the at least two sub-road sections, wherein the first predicted time of the first sub-road section is a predicted passing time determined based on real-time traffic information of the first sub-road section; the second predicted time of the second sub-segment is a predicted passing time determined based on historical road condition information of the second sub-segment.
The second sub-segment is located behind the first sub-segment, i.e. from the first position to the second position, the second sub-segment needs to pass through the first sub-segment and then the second sub-segment. The first sub-segment and the second sub-segment may be two continuous segments or two discontinuous segments with intervals.
In an actual situation, the traffic information may change at any time, and therefore, in order to ensure that the final predicted total passing time of the target route is more accurate, in this embodiment, the target route is refined in segments, and the predicted passing times of different sub-road segments are respectively determined. The first predicted time of the first sub-section is predicted passing time determined based on real-time traffic information of the first sub-section, and the second predicted time of the second sub-section is predicted passing time determined based on historical traffic information of the second sub-section, wherein the historical traffic information of the second sub-section may be historical traffic information of a user passing the first predicted time of the first sub-section from the current time, so as to ensure that the determined second predicted time is more accurate.
Step 105: obtaining a predicted total passing time of the target route based on the predicted passing time of each of the at least two sub-road segments.
The total predicted passing time of the target route is the sum of the predicted passing times of all the sub-road sections.
According to the information processing method, the passing time of the target route is not predicted only according to the current road condition information, but is more practical, the time of the sub-route which needs to pass through first is predicted based on the current road condition information, and the time of the sub-route which needs to pass through after a certain time is predicted based on the historical road condition information.
In the above embodiment, the segmentation rule may include: whether the predicted passing time determined based on the real-time traffic information is greater than the segmentation threshold. Generally, the time corresponding to the segmentation threshold cannot be too long or not short, and can be set to 1 hour. Of course, the time duration corresponding to the segmentation threshold is not limited in this embodiment, and may be specifically set according to the actual application.
Based on the above segmentation rule, the information processing method may include, after the target route from the first location to the second location is determined, a step of determining whether the target route satisfies the segmentation rule. If the target route meets the segmentation rule, executing the step of dividing the target route into at least two sub-road segments based on the segmentation rule; and if the target route does not meet the segmentation rule, the total predicted passing time of the target route is the predicted passing time determined based on the real-time road condition information.
Taking the segmentation threshold as 1 hour as an example, if the target route is long and requires a long time for the user to pass through, for example, 2.5 hours is needed, and 2.5 hours is greater than 1 hour, the target route can be segmented, and the target route meets the segmentation rule. If the target route is not too long and needs about 45 minutes to pass through, then 45 minutes is less than 1 hour, the target route does not need to be segmented, in this case, the target route does not meet the segmentation rule, and the predicted passing time of the target route, namely the total predicted passing time, is directly determined based on the current road condition.
Based on the above, the dividing the target route into at least two sub-routes based on the segmentation rule may include: and dividing the predicted passing time of the target route determined based on the real-time road condition information and the segmentation threshold into a route within the segmentation threshold and a route exceeding the segmentation threshold, wherein the route within the segmentation threshold is the first sub-road section, and the route exceeding the segmentation threshold is the second sub-road section. Fig. 2 is a schematic diagram of a sub-segment division disclosed in an embodiment of the present application, which can be understood by referring to fig. 2.
The route within the segmentation threshold is the route with the predicted passing time less than or equal to the segmentation threshold, the route is determined as a first sub-section, and the rest route is determined as a second sub-section.
Of course, the above description is given by taking the example of dividing the target route into only the first sub-link and the second sub-link, but in other embodiments, the target route may be divided into two or more sub-links. Fig. 3 is another sub-segment division schematic diagram disclosed in the embodiment of the present application, and referring to fig. 3, for example, when the current time is 12 points, the predicted passing time of the target route is 2.5 hours based on the current road condition, and with 1 hour as the division reference, the target route may be divided into three sub-segments, which are a first sub-segment, a second sub-segment and a third sub-segment, respectively, the predicted passing times of the first two sub-segments are all 1 hour, and the predicted passing time of the last sub-segment is 0.5 hour. The first predicted time of the first sub-segment is determined based on the current traffic information (traffic information at 12 points), the second predicted time of the second sub-segment is determined based on the average historical traffic information at any time/time period of 13 points or 13-14 points of the second sub-segment, and the third predicted time of the third sub-segment is determined based on the average historical traffic information at any time/time period of 14 points or 14-14 points of the third sub-segment.
Of course, the segmentation threshold may be a distance length, a number of signal lamps, a number of checkpoints, a station section, and the like, besides time, that is, the target route may be divided according to the distance length, the number of signal lamps, the number of checkpoints, the station section, and the like of the route, besides the target route is divided according to the time length. For example, every 20 kilometers may be determined as one sub-segment, wherein the distance length of the last sub-segment is less than or equal to 20 kilometers; the number of the signal lamps can also be used as a dividing basis, for example, a road section corresponding to each 10 signal lamps is used as a sub-road section, and the road sections are sequentially divided backwards, wherein the number of the signal lamps in the last sub-road section is less than or equal to 10.
In the above embodiment, the target route may be divided into at least two sub-road sections according to different standards by combining the route characteristics of the target route, and the predicted passing time of other sub-road sections is determined based on the historical road condition information of the predicted time when the user drives to the sub-road section except the first sub-road section, so that the finally determined predicted passing time of the target route is more accurate.
On the basis of the above-mentioned embodiment disclosed in the present application, fig. 4 is a flowchart of another information processing method disclosed in the embodiment of the present application, and referring to fig. 4, the information processing method may include:
step 401: a first location and a second location are obtained.
Step 402: a target route from the first location to the second location is determined.
Step 403: the target route is divided into at least two sub-segments based on a segmentation rule, the at least two sub-segments including a first sub-segment and a second sub-segment.
Step 404: determining a predicted time of each of the at least two sub-road sections, wherein the first predicted time of the first sub-road section is a predicted passing time determined based on real-time traffic information of the first sub-road section; the second predicted time of the second sub-segment is a predicted passing time determined based on historical road condition information of the second sub-segment.
Wherein the second sub-segment is located after the first sub-segment.
Step 405: obtaining a predicted total passing time of the target route based on the predicted passing time of each of the at least two sub-road segments.
Step 406: updating the first sub-road section and the second sub-road section along with the change of the real-time road condition information; or, in the case of navigation based on the target route, the first sub-segment and the second sub-segment are updated with updating of navigation information.
In an actual situation, the road condition information is changed in real time, and the dividing point for dividing the first sub-road section and the second sub-road section is also changed in real time along with the change of the real-time road condition information, for example, for a target route with a length of 50 km, the previously divided first sub-road section is 20 km long, the second sub-road section is 30 km long, and then the real-time road condition of the first sub-road section is gradually changed from a congestion state to no longer congestion in a period of time, and then the first sub-road section divided according to the real-time road condition is 25 km long, and the second sub-road section is 25 km long.
Under the condition that the user navigates based on the target route, the first sub-road section and the second sub-road section can be updated periodically or according to other conditions along with the updating of navigation information because the user and the vehicle are in the continuous traveling process. For example, when the navigation is started, the end position of the first sub-link is 10 kilometers from the navigation start position (i.e. the vehicle position), and after 10 minutes, the vehicle travels 15 kilometers, and the end position of the first sub-link is still 10 kilometers from the vehicle, but is 25 kilometers from the navigation start position. During navigation, the position of the vehicle position in the target route is changed continuously, and the corresponding first sub-section and second sub-section are also changed continuously, wherein the first sub-section and the second sub-section are determined and divided based on the route (namely, the navigation residual route) of the vehicle position reaching the navigation destination.
In this embodiment, along with the real-time change of the road condition information or the vehicle position information, the first sub-road section and the second sub-road section are also continuously updated, so that the system can predict the latest time in time based on the current condition, and the timeliness and the accuracy of the prediction result are ensured.
Fig. 5 is a flowchart of another information processing method disclosed in an embodiment of the present application, and as shown in fig. 5, the information processing method may include:
step 501: a first location and a second location are obtained.
Step 502: a target route from the first location to the second location is determined.
Step 503: the target route is divided into at least two sub-segments based on a segmentation rule, the at least two sub-segments including a first sub-segment and a second sub-segment.
Step 504: determining a predicted time of each of the at least two sub-road sections, wherein the first predicted time of the first sub-road section is a predicted passing time determined based on real-time traffic information of the first sub-road section; the second predicted time of the second sub-segment is a predicted passing time determined based on historical road condition information of the second sub-segment.
Wherein the second sub-segment is located after the first sub-segment.
Step 505: obtaining a predicted total passing time of the target route based on the predicted passing time of each of the at least two sub-road segments.
Step 506: and displaying the predicted passing time of each sub-road section and the predicted total passing time of the target route.
After the predicted passing time of each sub-link and the predicted total passing time of the target route are respectively determined, the determined result can be displayed to the user, so that the user can better know the route information. The target route can be displayed in the form of a progress bar, different sub-road sections can be represented by different colors, the predicted passing time of each sub-road section is displayed at the corresponding position of each sub-road section, and the total predicted passing time is displayed at the head end or the tail end of the progress bar of the target route.
Specifically, how to show the predicted passing time of each sub-road section and the predicted total passing time of the target route can be realized in various ways, and the displayed content can show different sub-road sections on an actual route in addition to the target route progress bar; the corresponding data displayed by each sub-road section can also comprise the contents of road condition information, kilometers and the like besides the predicted passing time.
In the embodiment, after the predicted passing time of each sub-road section and the predicted total passing time of the target route are determined, the determined information is displayed to the user in time, so that the user can better know the route information, and the use experience of the user is improved.
For simplicity of explanation, the foregoing method embodiments are described as a series of acts or combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of acts or acts described, as some steps may occur in other orders or concurrently with other steps according to the present application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
The method is described in detail in the embodiments disclosed in the present application, and the method of the present application can be implemented by various types of apparatuses, so that an apparatus is also disclosed in the present application, and the following detailed description is given of specific embodiments.
Fig. 6 is a schematic structural diagram of an information processing apparatus disclosed in an embodiment of the present application, and as shown in fig. 6, the information processing apparatus 60 may include:
the position obtaining module 601 is configured to obtain a first position and a second position.
The first position and the second position are different. The first location and the second location may be determined by user input or by positioning by a positioning device.
In this embodiment, the first position and the second position may be obtained in various manners, such as by a positioning device, a voice collecting and recognizing device, and an input device, and the specific implementation of the first position and the second position is not limited in this embodiment.
A route determination module 602, configured to determine a target route from the first location to the second location.
In practice, there may be more than one route from the first location to the second location, and the system may automatically select a target route recommendation according to the user's preference and present it to the user. Of course, the target route may also be another route from the first location to the second location that is manually switched by the user after the navigation application recommends a route from the first location to the second location to the user.
A segment dividing module 603 configured to divide the target route into at least two sub-segments based on a segmentation rule, where the at least two sub-segments include a first sub-segment and a second sub-segment.
In the method embodiment, different segmentation rules and a specific process of segmenting the target route according to the different segmentation rules are described in detail, and are not described herein again.
A first time prediction module 604, configured to determine a predicted time of each of the at least two sub-road segments, where the first predicted time of the first sub-road segment is a predicted passing time determined based on real-time traffic information of the first sub-road segment; the second predicted time of the second sub-segment is a predicted passing time determined based on historical road condition information of the second sub-segment.
The second sub-segment is located behind the first sub-segment, i.e. from the first position to the second position, the second sub-segment needs to pass through the first sub-segment and then the second sub-segment. The first sub-section and the second sub-section may be two continuous sections, or two discontinuous sections with intervals.
In an actual situation, the traffic information may change at any time, and therefore, in order to ensure that the final predicted total passing time of the target route is more accurate, in this embodiment, the target route is refined in segments, and the predicted passing times of different sub-road segments are respectively determined. The historical traffic information of the second sub-section may be historical traffic information after the user passes through the first predicted time of the first sub-section from the current time, so as to ensure that the determined second predicted time is more accurate.
A second time prediction module 605, configured to obtain a predicted total passing time of the target route based on the predicted passing time of each of the at least two sub-road segments.
The total predicted passing time of the target route is the sum of the predicted passing times of all the sub-road sections.
The information processing device of the embodiment predicts the passing time of the target route not only according to the current road condition information, but also is more practical, predicts the time of the sub-route which needs to pass first based on the current road condition information, and predicts the time of the sub-route which needs to pass after a certain time based on the historical road condition information.
In the above embodiment, the segmentation rule may include: whether the predicted passing time determined based on the real-time traffic information is greater than the segmentation threshold value.
Based on the above-described segmentation rule, the information processing apparatus 60 may further include a rule determination module for determining whether the target route satisfies the segmentation rule. The road segment dividing module 603 is configured to divide the target route into at least two sub-road segments based on a segmentation rule if the determination result of the rule determining module is yes; the road segment dividing module 603 is further configured to: and when the judgment result of the rule judgment module is negative, determining the total predicted passing time of the target route based on the real-time road condition information.
Specifically, the road segment dividing module 603 may be configured to: and dividing the predicted passing time of the target route determined based on the real-time road condition information and the segmentation threshold into a route within the segmentation threshold and a route exceeding the segmentation threshold, wherein the route within the segmentation threshold is the first sub-road section, and the route exceeding the segmentation threshold is the second sub-road section.
The route within the segmentation threshold is the route with the predicted passing time less than or equal to the segmentation threshold, the route is determined as a first sub-section, and the rest route is determined as a second sub-section.
Of course, the above description is given by taking the example of dividing the target route into only the first sub-link and the second sub-link, and in other embodiments, the target route may be divided into two or more sub-links.
Of course, the segmentation threshold may be a distance length, a number of signal lamps, a number of checkpoints, a station section, and the like besides time, that is, in addition to dividing the target route according to the time length, the target route may be divided according to the distance length, the number of signal lamps, the number of checkpoints, the station section, and other criteria of the route. For example, every 20 kilometers may be determined as one sub-segment, wherein the distance length of the last sub-segment is less than or equal to 20 kilometers; the number of the signal lamps can also be used as a dividing basis, for example, a road section corresponding to each 10 signal lamps is used as a sub-road section, and the road sections are sequentially divided backwards, wherein the number of the signal lamps in the last sub-road section is less than or equal to 10.
In the above embodiment, the target route may be divided into at least two sub-road sections according to different standards by combining the route characteristics of the target route, and the predicted passing time of other sub-road sections is determined based on the historical road condition information of the predicted time when the user drives to the sub-road section except the first sub-road section, so that the finally determined predicted passing time of the target route is more accurate.
On the basis of the above-mentioned embodiment disclosed in the present application, fig. 7 is a schematic structural diagram of another information processing apparatus disclosed in the embodiment of the present application, and referring to fig. 7, the information processing apparatus 70 may include:
the position obtaining module 601 is configured to obtain a first position and a second position.
A route determination module 602, configured to determine a target route from the first location to the second location.
A segment dividing module 603 configured to divide the target route into at least two sub-segments based on a segmentation rule, where the at least two sub-segments include a first sub-segment and a second sub-segment.
A first time prediction module 604, configured to determine a predicted time of each of the at least two sub-road segments, where the first predicted time of the first sub-road segment is a predicted passing time determined based on real-time traffic information of the first sub-road segment; the second predicted time of the second sub-segment is a predicted passing time determined based on historical road condition information of the second sub-segment.
Wherein the second sub-segment is located after the first sub-segment.
A second time prediction module 605, configured to obtain a predicted total passing time of the target route based on the predicted passing time of each of the at least two sub-road segments.
A section update module 701, configured to update the first sub-section and the second sub-section with a change of real-time traffic information; or, in the case of navigation based on the target route, the first sub-segment and the second sub-segment are updated with updating of navigation information.
In an actual situation, the traffic information is changed in real time, and the dividing point for dividing the first sub-section and the second sub-section is also changed in real time along with the change of the real-time traffic information.
Under the condition that the user navigates based on the target route, the first sub-road section and the second sub-road section can be updated periodically or according to other conditions along with the updating of navigation information because the user and the vehicle are in the continuous traveling process. During navigation, the position of the vehicle position in the target route is changed continuously, and the corresponding first sub-section and second sub-section are also changed continuously, wherein the first sub-section and the second sub-section are determined and divided based on the route (namely, the navigation residual route) of the vehicle position reaching the navigation destination.
In this embodiment, along with the real-time change of the road condition information or the vehicle position information, the first sub-road section and the second sub-road section are also continuously updated, so that the system can predict the latest time in time based on the current condition, and the timeliness and the accuracy of the prediction result are ensured.
Fig. 8 is a schematic structural diagram of another information processing apparatus disclosed in an embodiment of the present application, and referring to fig. 8, the information processing apparatus 80 may include:
the position obtaining module 601 is configured to obtain a first position and a second position.
A route determination module 602, configured to determine a target route from the first location to the second location.
A segment dividing module 603 configured to divide the target route into at least two sub-segments based on a segmentation rule, where the at least two sub-segments include a first sub-segment and a second sub-segment.
A first time prediction module 604, configured to determine a predicted time of each of the at least two sub-road segments, where the first predicted time of the first sub-road segment is a predicted passing time determined based on real-time traffic information of the first sub-road segment; the second predicted time of the second sub-segment is a predicted passing time determined based on historical road condition information of the second sub-segment.
Wherein the second sub-segment is located after the first sub-segment.
A second time prediction module 605, configured to obtain a predicted total passing time of the target route based on the predicted passing time of each of the at least two sub-road segments.
And the route display module 801 is used for displaying the predicted passing time of each sub-road section and the predicted total passing time of the target route.
After the predicted passing time of each sub-link and the predicted total passing time of the target route are respectively determined, the determined result can be displayed to the user, so that the user can better know the route information. The target route can be displayed in the form of a progress bar, different sub-road sections can be represented by different colors, the predicted passing time of each sub-road section is displayed at the corresponding position of each sub-road section, and the total predicted passing time is displayed at the head end or the tail end of the progress bar of the target route.
Specifically, how to show the predicted passing time of each sub-road section and the predicted total passing time of the target route can be realized in various ways, and the displayed content can show different sub-road sections on an actual route in addition to the target route progress bar; the corresponding data displayed by each sub-road section can also comprise contents such as road condition information, kilometers and the like besides the predicted passing time.
In the embodiment, after the predicted passing time of each sub-road section and the predicted total passing time of the target route are determined, the determined information is displayed to the user in time, so that the user can better know the route information, and the use experience of the user is improved.
The information processing apparatus in any of the above embodiments includes a processor and a memory, where the location obtaining module, the route determining module, the road section dividing module, the first time predicting module, the second time predicting module, the rule determining module, the road section updating module, the route displaying module, and the like in the above embodiments are stored in the memory as program modules, and the processor executes the program modules stored in the memory to implement corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program module from the memory. The kernel can be provided with one or more than one, and the position information prompt is realized by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
The embodiment provides an electronic device which comprises a processor and a memory. Wherein the memory is used for storing executable instructions of the processor, and the processor is configured to execute the information processing method described in the above embodiment through executing the executable instructions.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An information processing method, the method comprising:
acquiring a first position and a second position;
determining a target route from the first location to the second location;
dividing the target route into at least two sub-segments based on a segmentation rule, the at least two sub-segments including a first sub-segment and a second sub-segment;
determining a predicted time of each of the at least two sub-road sections, wherein the first predicted time of the first sub-road section is a predicted passing time determined based on real-time traffic information of the first sub-road section; the second predicted time of the second sub-section is a predicted passing time determined based on historical road condition information of the second sub-section; the second sub-road section is positioned behind the first sub-road section, and the historical road condition information of the second sub-road section is the historical road condition information corresponding to the time after the first prediction time of the first sub-road section from the current time;
obtaining a predicted total passing time of the target route based on the predicted passing time of each of the at least two sub-road segments;
and updating the first sub-road section and the second sub-road section along with the updating of the navigation information during the running process of the vehicle.
2. The information processing method according to claim 1, wherein the segmentation rule includes whether a predicted passing time determined based on the real-time traffic information is greater than a segmentation threshold.
3. The information processing method according to claim 2, further comprising:
if the target route meets the segmentation rule, executing the step of dividing the target route into at least two sub-road segments based on the segmentation rule;
and if the target route does not meet the segmentation rule, the total predicted passing time of the target route is the predicted passing time determined based on the real-time road condition information.
4. The information processing method according to claim 3, said dividing the target route into at least two sub-routes based on a segmentation rule comprising:
and dividing the predicted passing time of the target route determined based on the real-time road condition information and the segmentation threshold into a route within the segmentation threshold and a route exceeding the segmentation threshold, wherein the route within the segmentation threshold is the first sub-road section, and the route exceeding the segmentation threshold is the second sub-road section.
5. The information processing method according to claim 1, further comprising:
and updating the first sub-road section and the second sub-road section along with the change of the real-time road condition information.
6. The information processing method according to any one of claims 1 to 5, further comprising, after the obtaining of the predicted total passing time of the target route based on the predicted passing time of each of the at least two sub-segments:
and displaying the predicted passing time of each sub-road section and the predicted total passing time of the target route.
7. An information processing apparatus, the apparatus comprising:
the position acquisition module is used for acquiring a first position and a second position;
a route determination module to determine a target route from the first location to the second location;
a segment dividing module for dividing the target route into at least two sub-segments based on a segmentation rule, the at least two sub-segments including a first sub-segment and a second sub-segment;
the first time prediction module is used for determining the predicted time of each of the at least two sub-road sections, wherein the first predicted time of the first sub-road section is the predicted passing time determined based on the real-time road condition information of the first sub-road section; the second predicted time of the second sub-section is a predicted passing time determined based on historical road condition information of the second sub-section; the second sub-road section is positioned behind the first sub-road section, and the historical road condition information of the second sub-road section is corresponding to the time after the first prediction time of the first sub-road section from the current time;
a second time prediction module for obtaining a predicted total passing time of the target route based on the predicted passing time of each of the at least two sub-road segments
And the road section updating module is used for updating the first sub road section and the second sub road section along with the updating of the navigation information in the vehicle traveling process.
8. The information processing apparatus according to claim 7, wherein the segmentation rule includes whether a predicted transit time determined based on the real-time traffic information is greater than a segmentation threshold.
9. The information processing apparatus according to claim 8, further comprising:
the rule judging module is used for judging whether the target route meets the segmentation rule or not;
the road section dividing module is used for dividing the target route into at least two sub road sections based on a segmentation rule when the judgment result of the rule judging module is yes;
the segment division module is further configured to: and when the judgment result of the rule judgment module is negative, determining the total predicted passing time of the target route based on the real-time road condition information.
10. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to execute the executable instructions to perform the information processing method of any one of claims 1-6.
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| CN106382939A (en) * | 2015-12-20 | 2017-02-08 | 杭州后博科技有限公司 | System and method for predicating driving time on navigation path based on historical data |
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