CN110796854A - Method and related device for checking road speed limit value - Google Patents
Method and related device for checking road speed limit value Download PDFInfo
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- CN110796854A CN110796854A CN201910752928.8A CN201910752928A CN110796854A CN 110796854 A CN110796854 A CN 110796854A CN 201910752928 A CN201910752928 A CN 201910752928A CN 110796854 A CN110796854 A CN 110796854A
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Abstract
The embodiment of the invention discloses a method for checking a road speed limit value and a related device, wherein the method comprises the following steps: obtaining historical vehicle track data at preset time, wherein the historical vehicle track data comprises a historical vehicle initial speed curve and historical vehicle track position data; respectively carrying out filtering smoothing treatment on the historical vehicle initial speed curve to obtain a historical vehicle speed curve; mapping the historical vehicle speed curves respectively corresponding to the historical vehicle track position data to corresponding road sections of a road network, and acquiring the actual passing speeds of the historical vehicles on different road sections; and acquiring the difference between the preset speed limit values of different road sections and the actual passing speed of the historical vehicle, and adjusting the preset speed limit value of the road section with the difference exceeding a preset threshold value. By adopting the method, the passing speed of the road Link is mined by utilizing the vehicle track data, and then the road Link speed limit value is verified, so that the road speed limit value is adjusted, and the accuracy of the verification of the road speed limit value is improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method for verifying a road speed limit value and a related device.
Background
Link: basic road section units defined in road network data and basic components of roads.
Road speed limit value: in the basic road network data, the basic attribute of each road contains speed limit, roads with different working conditions and different functions, and the speed limit values are different. For example, the national road speed limit of a single lane is 40, and the national road speed limit of an upper-lower line separation may be 60.
The road section Link speed limit value attribute in the existing basic road network data is defined by road data acquisition personnel according to road working conditions. Whether the speed limit value is reasonable or not is not easy to verify; and when the road working condition changes, the speed limit value cannot be dynamically corrected.
Disclosure of Invention
The embodiment of the application provides a method and a related device for checking a road speed limit value, which can correct the speed limit value with errors.
A first aspect of an embodiment of the present application provides a method for checking a road speed limit value, including:
obtaining historical vehicle track data at preset time, wherein the historical vehicle track data comprises a historical vehicle initial speed curve and historical vehicle track position data;
respectively carrying out filtering smoothing treatment on the historical vehicle initial speed curve to obtain a historical vehicle speed curve;
mapping the historical vehicle speed curves respectively corresponding to the historical vehicle track position data to corresponding road sections of a road network, and acquiring the actual passing speeds of the historical vehicles on different road sections;
and acquiring the difference between the preset speed limit values of different road sections and the actual passing speed of the historical vehicle, and adjusting the preset speed limit value of the road section with the difference exceeding a preset threshold value.
A second aspect of the embodiments of the present application provides a device for verifying a road speed limit value, including:
the acquisition module is used for acquiring historical vehicle track data at preset time, wherein the historical vehicle track data comprises a historical vehicle initial speed curve and historical vehicle track position data;
the processing module is used for respectively carrying out filtering smoothing processing on the historical vehicle initial speed curve to obtain a historical vehicle speed curve;
the calculation module is used for mapping the historical vehicle speed curves respectively corresponding to the historical vehicle track position data to corresponding road sections of a road network and acquiring the actual passing speeds of the historical vehicles on different road sections;
and the adjusting module is used for acquiring the difference between the preset speed limit values of different road sections and the actual passing speed of the historical vehicle, and adjusting the preset speed limit value of the road section with the difference exceeding the preset threshold value.
Further, the processing module is configured to perform:
acquiring different speed values respectively corresponding to different preset moments according to the historical vehicle initial speed curve;
sequentially clustering the speed points corresponding to the different speed values according to the sequence of the different preset moments to obtain different clusters;
removing clusters with the number of speed points smaller than the preset number from the different clusters, and filling the speed points of the removed clusters to obtain updated speed points of the different clusters;
smoothing the speed values respectively corresponding to the updated speed points of the different clusters to obtain different updated speed values respectively corresponding to different preset moments;
and connecting the different updating speed values to obtain the historical vehicle speed curve.
Further, the speed points at least include a first speed point, a second speed point and a third speed point, the first speed point, the second speed point and the third speed point are continuous speed points, the different clusters at least include a first cluster, and the processing module is further configured to perform:
acquiring difference values between speed values respectively corresponding to a first speed point and a second speed point, and if the difference values are smaller than a preset threshold value, connecting the first speed point and the second speed point to obtain a first initial cluster;
acquiring an average speed between speed values corresponding to the first speed point and the second speed point respectively, and if a difference value between the average speed and a speed value corresponding to a third speed point is smaller than a preset threshold value, connecting the third speed point and the first initial cluster to update the first initial cluster;
and if the difference value between the average speed and the speed value corresponding to the third speed point is not less than the preset threshold value, counting the third speed point into a second initial cluster, and marking the first initial cluster as a first cluster.
The processing module is used for executing:
when the number of the removed clusters is M, acquiring a speed average value of the M removed clusters, and taking a speed point corresponding to the speed average value as a filling speed point to fill the speed point, wherein M is a positive integer greater than 1;
and when the front cluster and the rear cluster of the removed clusters are not removed, acquiring the speed average value of the front cluster and the rear cluster which are not removed, and taking the speed points corresponding to the speed average value of the front cluster and the rear cluster as filling speed points to fill the speed points.
Further, the computing module is configured to:
sequentially acquiring different position data respectively corresponding to different road sections of a road network in the historical vehicle track position data;
acquiring historical vehicle speed curves respectively corresponding to the different position data, and mapping the historical vehicle speed curves to the different road sections;
and acquiring historical vehicle speed curves corresponding to the different road sections respectively to obtain historical average speeds corresponding to the different road sections, and recording the historical average speeds as the actual passing speeds of the historical vehicles.
Further, the calculation module is further configured to:
respectively acquiring different initial average speeds corresponding to different historical vehicle speed curves from the historical vehicle speed curves corresponding to the different road sections;
sorting different initial average speeds corresponding to the different road sections according to a size sequence to obtain N different initial average speeds meeting a preset condition, wherein N is a positive integer;
and calculating the average speed of the N different initial average speeds meeting the preset condition to obtain the historical average speeds of the different road sections.
Further, the adjusting module is configured to:
and updating the preset speed limit value of the road section with the difference value exceeding the preset threshold value into the actual passing speed of the historical vehicle.
A third aspect of the embodiments of the present application provides a verification server, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, where the memory is used to store a computer program, and the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium having a computer program stored thereon, the computer program being executable by a processor to implement the method.
The embodiment of the application has at least the following beneficial effects:
according to the method and the device, historical vehicle track data are obtained, and filtering smoothing processing is carried out on the historical vehicle initial speed curve to obtain the historical vehicle speed curve; and then mapping historical vehicle speed curves respectively corresponding to the historical vehicle track position data to corresponding road sections of a road network, acquiring the actual passing speeds of historical vehicles of different road sections, further acquiring the difference value between the preset speed limit values of the different road sections and the actual passing speeds of the historical vehicles, and adjusting the preset speed limit values of the road sections of which the difference value exceeds the preset threshold value. By adopting the method, the passing speed of the road Link is mined by utilizing the vehicle track data, and then the road Link speed limit value is verified, so that the road speed limit value is adjusted, and the accuracy of the verification of the road speed limit value is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Wherein:
fig. 1 is an interactive schematic view of a method for checking a road speed limit according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a network architecture of a method for checking a speed limit of a road according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a method for checking a road speed limit according to an embodiment of the present invention;
FIG. 4a is a graphical illustration of a historical vehicle initial speed profile provided by an embodiment of the present invention;
FIG. 4b is a schematic diagram of a continuous dot clustering scheme according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a computation using Mapreduce computation framework according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a verification server according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a device for verifying a road speed limit according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the 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.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The road section Link speed limit value attribute in the existing basic road network data is defined by road data acquisition personnel according to road working conditions. Whether the speed limit value is reasonable or not is not easy to verify; and when the road working condition changes, the speed limit value cannot be dynamically corrected. Therefore, the scheme provides a method for checking the road speed limit value, and the method can be used for correcting the road speed limit value with errors.
Referring to fig. 1, fig. 1 is an interactive schematic view of a method for checking a road speed limit according to an embodiment of the present application. As shown in fig. 1, the system may include a verification server 101, a historical database 102 and a road network 103, wherein the verification server 101 obtains historical vehicle trajectory data at a preset time from the historical database 102, and the historical vehicle trajectory data includes a historical vehicle initial speed curve and historical vehicle trajectory position data; the verification server 101 respectively performs filtering smoothing on the historical vehicle initial speed curve to obtain a historical vehicle speed curve; the verification server 101 maps the historical vehicle speed curves respectively corresponding to the historical vehicle track position data to corresponding road sections of the road network 103, and obtains the actual passing speeds of the historical vehicles on different road sections; the verification server 101 obtains the difference between the preset speed limit values of different road sections and the actual passing speed of the historical vehicle, and adjusts the preset speed limit value of the road section with the difference exceeding the preset threshold value.
According to the method and the device, historical vehicle track data are obtained, and filtering smoothing processing is carried out on the historical vehicle initial speed curve to obtain the historical vehicle speed curve; and then mapping historical vehicle speed curves respectively corresponding to the historical vehicle track position data to corresponding road sections of a road network, acquiring the actual passing speeds of historical vehicles of different road sections, further acquiring the difference value between the preset speed limit values of the different road sections and the actual passing speeds of the historical vehicles, and adjusting the preset speed limit values of the road sections of which the difference value exceeds the preset threshold value. By adopting the method, the passing speed of the road Link is mined by utilizing the vehicle track data, and then the road Link speed limit value is verified, so that the road speed limit value is adjusted, and the accuracy of the verification of the road speed limit value is improved.
Referring to fig. 2, fig. 2 is a schematic diagram of a network architecture of a method for checking a speed limit of a road according to an embodiment of the present disclosure. The network architecture may include a plurality of servers, as shown in fig. 2, specifically including a verification server 200a, a database server 200b, and a road network server 200c, where the verification server 200a obtains historical vehicle trajectory data at a preset time from the database server 200b, where the historical vehicle trajectory data includes a historical vehicle initial speed curve and historical vehicle trajectory position data; wherein the preset time may be the last month or the last year, and the like, and is not limited herein; the historical vehicle track data comprises a historical vehicle initial speed curve, wherein the historical vehicle initial speed curve can also be replaced by a historical vehicle initial speed and time corresponding relation and the like; the historical vehicle track position data can be longitude and latitude information, or other position information and the like. The verification server 200a respectively performs filtering smoothing processing on the historical vehicle initial speed curve to obtain a historical vehicle speed curve; the verification server 200a maps the historical vehicle speed curves respectively corresponding to the historical vehicle track position data to corresponding road sections in the road network server 200c, and obtains the actual passing speeds of the historical vehicles on different road sections; the verification server 200a obtains a difference value between the preset speed limit values of different road sections and the actual passing speed of the historical vehicle, and adjusts the preset speed limit value of the road section of which the difference value exceeds the preset threshold value, wherein the preset speed limit value of the road section of which the difference value exceeds the preset threshold value is adjusted, and the preset speed limit value of the road section of which the difference value exceeds the preset threshold value may be updated to the actual passing speed of the historical vehicle.
Referring to fig. 3, fig. 3 is a schematic flowchart of a method for checking a road speed limit according to an embodiment of the present disclosure. As shown in fig. 3, it may include steps 301 and 304 as follows:
301. the method comprises the steps that a verification server obtains historical vehicle track data of preset time, wherein the historical vehicle track data comprise a historical vehicle initial speed curve and historical vehicle track position data;
the road network refers to a road system formed by interconnecting and interlacing various roads in a certain area. The road network is composed of all levels of roads. Urban road network is composed of various roads in urban area.
The scheme is based on the fact that inaccurate definition of the speed limit values of certain road sections Link exists in the existing basic road network data, if the reported current road speed limit value is inaccurate in a navigation scene, user experience is affected. Therefore, according to the scheme, a large amount of historical vehicle track data are acquired through the verification server, then the historical vehicle actual passing speeds corresponding to different road sections of the road network are obtained through analysis, and then the speed limit values of the different road sections in the road network are verified and adjusted to obtain more accurate road speed limit values.
Wherein, the preset time can be the latest month, the latest three months or the latest year, etc. The above-mentioned historical vehicle initial speed curve may be a plurality of curve segments or the like corresponding to the historical vehicle trajectory position data, respectively.
302. The verification server respectively carries out filtering smoothing processing on the historical vehicle initial speed curve to obtain a historical vehicle speed curve;
the above-mentioned filtering and smoothing process performed on the historical vehicle initial speed curve to obtain the historical vehicle speed curve includes:
acquiring different speed values respectively corresponding to different preset moments according to the historical vehicle initial speed curve;
the preset time may be a time starting at an initial time and spaced at the same time, for example, speed values corresponding to integer times such as a first minute, a second minute, a third minute, and the like are respectively obtained, and a position of the speed value corresponding to the time in a curve is marked to obtain a corresponding speed point.
Sequentially clustering the speed points corresponding to the different speed values according to the sequence of the different preset moments to obtain different clusters;
the method comprises the following steps of sequentially clustering speed points corresponding to different speed values according to the sequence of different preset times to obtain different clusters, wherein the speed points at least comprise a first speed point, a second speed point and a third speed point, the first speed point, the second speed point and the third speed point are continuous speed points, the different clusters at least comprise a first cluster, and the method comprises the following steps:
acquiring difference values between speed values respectively corresponding to a first speed point and a second speed point, and if the difference values are smaller than a preset threshold value, connecting the first speed point and the second speed point to obtain a first initial cluster;
acquiring an average speed between speed values corresponding to the first speed point and the second speed point respectively, and if a difference value between the average speed and a speed value corresponding to a third speed point is smaller than a preset threshold value, connecting the third speed point and the first initial cluster to update the first initial cluster;
and if the difference value between the average speed and the speed value corresponding to the third speed point is not less than the preset threshold value, counting the third speed point into a second initial cluster, and marking the first initial cluster as a first cluster.
If the difference value between the speed value of the next speed point and the average speed of the first initial cluster is smaller than the preset threshold value, continuously updating the first initial cluster, and merging the next speed point into the first initial cluster; and ending the first initial cluster until the difference between the speed value of the appeared speed point and the average speed of the first initial cluster is not less than the preset threshold, marking the first initial cluster as the first cluster, counting the current speed point into the second initial cluster, and repeating the steps to obtain different clusters.
And performing cluster connection processing on the marked speed points. It may be a cluster composed of the same cluster with the adjacent speed difference within a certain range.
Removing clusters with the number of speed points smaller than the preset number in the different clusters, and filling the speed points of the removed clusters;
the speed point filling of the removed clusters comprises the following steps:
when the number of the removed clusters is M, acquiring a speed average value of the M removed clusters, and taking a speed point corresponding to the speed average value as a filling speed point to fill the speed point, wherein M is a positive integer greater than 1;
and when the front cluster and the rear cluster of the removed clusters are not removed, acquiring the speed average value of the front cluster and the rear cluster which are not removed, and taking the speed points corresponding to the speed average value of the front cluster and the rear cluster as filling speed points to fill the speed points.
Processing the speed values respectively corresponding to the different speed points to obtain different updating speed values respectively corresponding to different preset moments;
and connecting the different updating speed values to obtain the historical vehicle speed curve.
As shown in fig. 4a and 4b, in practical applications, where there are two speed points with speed values corresponding to 24, 23 and three speed points with speed values corresponding to 14, 12, 11, there are two lower speed short drops, so that two clusters are actually abnormal, and it is necessary to perform culling and then smoothing in the data preprocessing. Obviously, the continuous speed points can be divided into 5 clusters by clustering, and then abnormal rejection and smoothing can be performed as required. Wherein, carry out unusual rejection and smooth processing, because the unusual difficult processing in the current speed curve, wherein the unusual includes 1) burr: single point value jump anomaly, 2) short time anomaly: unlike a spike, the continuity of the temporal variation of the short term anomaly tends to last for a short period of time, resembling a steep parabolic variation. In the prior art, a noise filtering smoothing processing method for a speed curve, such as a moving average method, exponential smoothing, median smoothing and the like, is simple, is effective for burrs, but is insufficient for short-time abnormity; complicated methods such as laplacian smoothing and goodlike smoothing are used in data mining with large data volume, and the calculation efficiency is low. Therefore, the scheme designs a new data curve noise filtering smoothing method, which can quickly and effectively realize the following steps: and eliminating burrs in the data, filtering abnormal parts in the curve, and simultaneously ensuring that the curve changes more stably.
Specifically, the filtering and smoothing process can be performed on the historical vehicle initial speed curve by adopting a clustering method. Which may include extracting corresponding speed points in the historical vehicle initial speed profile and sorting by time.
Then sequentially clustering the speed points, specifically obtaining the difference between the speed values respectively corresponding to the first speed point and the second speed point, if the difference is smaller than a preset threshold value, connecting the first speed point and the second speed point to obtain a first initial cluster, then calculating the speed average value of the first initial cluster, and the percentage of the difference between the speed value corresponding to the next speed point and the speed average value of the first initial cluster, if the difference is larger than the preset value, such as 40%, starting a new cluster, such as a second initial cluster, and marking the first initial cluster as a first cluster; otherwise, adding the next speed point into the first initial cluster, and traversing all the speed points to obtain a plurality of different clusters; then traversing all clusters, eliminating clusters with the number of speed points smaller than a threshold value, such as 3 clusters, and setting the speed value as-1; and then fill in the culled speed. Among them, two cases can be included: firstly, a plurality of continuous clusters are removed, which shows that the speed values of the several segments fluctuate very severely, and then the original speed average value of the removed clusters is used for replacing each speed value of the removed clusters. And secondly, the front cluster and the rear cluster are not removed, only the current cluster is removed, and the speed values of the removed clusters are replaced by the speed mean values of the front cluster and the rear cluster.
Finally, carrying out data smoothing treatment; after the abnormal value is eliminated, in order to make the curve change more stable, the smoothing is performed by using a moving average method, that is, the average value of n (generally set to 1) points before and after the current speed point is calculated for each speed point in time sequence to replace the speed value of the current point, and the result speed sequence is output in time sequence.
The scheme applies the clustering idea to ordered data and achieves the purpose of quickly eliminating abnormal data through clustering of data points.
303. The verification server maps the historical vehicle speed curves respectively corresponding to the historical vehicle track position data to corresponding road sections of a road network, and obtains the actual passing speeds of the historical vehicles on different road sections;
the Link string passed by the vehicle driving track is obtained by mapping the vehicle track to the Link of the road section in the road network. As shown in fig. 5, the Mapreduce calculation framework can be used to obtain the actual traffic speeds of the historical vehicles on different road sections. Mapreduce is a parallel Programming Model and method. The method provides a simple and convenient parallel program design method by means of the design idea of a functional programming language Lisp, realizes basic parallel computing tasks by using two functions of Map and Reduce, provides abstract operation and a parallel programming interface, and simply and conveniently completes the programming and computing processing of large-scale data. The above operations may include:
acquiring a first road section in a road network;
acquiring first track position data corresponding to the historical vehicle track position data according to the position information corresponding to the first road section;
acquiring a plurality of historical vehicle speed curve segments corresponding to the first track position data from the historical vehicle speed curve according to the first track position data;
respectively acquiring the average speed of each historical vehicle speed curve segment in the plurality of historical vehicle speed curve segments;
sorting the average speeds according to the sizes, and acquiring k different average speeds positioned at the front k;
and acquiring average speeds corresponding to the k different average speeds, and taking the average speed corresponding to the k different average speeds as the actual passing speed of the historical vehicle in the first road section.
And by analogy, the actual passing speed of the historical vehicles of each road section in the road network is further obtained.
The acquiring of the historical actual traffic speeds of the vehicles in different road sections may include:
sequentially acquiring different position data respectively corresponding to different road sections of a road network in the historical vehicle track position data;
acquiring historical vehicle speed curves respectively corresponding to the different position data, and mapping the historical vehicle speed curves to the different road sections;
and acquiring historical vehicle speed curves corresponding to the different road sections respectively to obtain historical average speeds corresponding to the different road sections, and recording the historical average speeds as the actual passing speeds of the historical vehicles.
The obtaining of the historical vehicle speed curves corresponding to the different road sections respectively to obtain the historical average speeds corresponding to the different road sections includes:
respectively acquiring different initial average speeds corresponding to different historical vehicle speed curves from the historical vehicle speed curves corresponding to the different road sections;
for example, the historical vehicle speed curve can be divided based on the corresponding historical vehicle track position data to obtain the speed curves corresponding to different road sections of the road network. By performing the mapping, speed profiles of a plurality of vehicles corresponding to the same road section can be acquired, and then each average speed of each speed profile is acquired, respectively.
Sorting different initial average speeds corresponding to the different road sections according to a size sequence to obtain N different initial average speeds meeting a preset condition, wherein N is a positive integer;
and calculating the average speed of the N different initial average speeds meeting the preset condition to obtain the historical average speeds of the different road sections.
The historical average speed corresponding to the road section is obtained by obtaining different initial average speeds of a plurality of vehicles on the same road section, obtaining the speed of the vehicle with the speed value being in the front 3 or the front 5 and the like or a plurality of speed values exceeding a preset value, and further calculating the average value of the speed of the front 3 or the front 5 vehicle or the average value of the plurality of speed values exceeding the preset value.
304. And the verification server acquires the difference between the preset speed limit values of different road sections and the actual passing speed of the historical vehicle, and adjusts the preset speed limit value of the road section of which the difference exceeds a preset threshold value.
And if the preset speed limit value of the road section with the difference value exceeding the preset threshold value is updated to the actual passing speed of the historical vehicle, or the preset speed limit value exceeds the actual passing speed of the historical vehicle by a certain percentage, and the like.
In the embodiment, by adopting the data curve noise filtering smoothing method, the elimination of burrs in data is quickly and effectively realized, abnormal parts in the curve are filtered, and the curve is enabled to change more stably. Meanwhile, the clustering idea is applied to the ordered data, and the purpose of quickly eliminating the abnormal data is achieved through clustering of the data points. According to the method and the device, historical vehicle track data are obtained, and filtering smoothing processing is carried out on the historical vehicle initial speed curve to obtain the historical vehicle speed curve; and then mapping historical vehicle speed curves respectively corresponding to the historical vehicle track position data to corresponding road sections of a road network, acquiring the actual passing speeds of historical vehicles of different road sections, further acquiring the difference value between the preset speed limit values of the different road sections and the actual passing speeds of the historical vehicles, and adjusting the preset speed limit values of the road sections of which the difference value exceeds the preset threshold value. By adopting the method, the passing speed of the road Link is mined by utilizing the vehicle track data, and then the road Link speed limit value is verified, so that the road speed limit value is adjusted, and the accuracy of the verification of the road speed limit value is improved.
In accordance with the foregoing embodiments, please refer to fig. 6, fig. 6 is a schematic structural diagram of a verification server provided in an embodiment of the present application, and as shown in the figure, the verification server includes a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, where the memory is used to store a computer program, the computer program includes program instructions, the processor is configured to call the program instructions, and the program includes instructions for performing the following steps;
obtaining historical vehicle track data at preset time, wherein the historical vehicle track data comprises a historical vehicle initial speed curve and historical vehicle track position data;
respectively carrying out filtering smoothing treatment on the historical vehicle initial speed curve to obtain a historical vehicle speed curve;
mapping the historical vehicle speed curves respectively corresponding to the historical vehicle track position data to corresponding road sections of a road network, and acquiring the actual passing speeds of the historical vehicles on different road sections;
and acquiring the difference between the preset speed limit values of different road sections and the actual passing speed of the historical vehicle, and adjusting the preset speed limit value of the road section with the difference exceeding a preset threshold value.
According to the method and the device, historical vehicle track data are obtained, and filtering smoothing processing is carried out on the historical vehicle initial speed curve to obtain the historical vehicle speed curve; and then mapping historical vehicle speed curves respectively corresponding to the historical vehicle track position data to corresponding road sections of a road network, acquiring the actual passing speeds of historical vehicles of different road sections, further acquiring the difference value between the preset speed limit values of the different road sections and the actual passing speeds of the historical vehicles, and adjusting the preset speed limit values of the road sections of which the difference value exceeds the preset threshold value. By adopting the method, the passing speed of the road Link is mined by utilizing the vehicle track data, and then the road Link speed limit value is verified, so that the road speed limit value is adjusted, and the accuracy of the verification of the road speed limit value is improved.
The program is also used for acquiring different speed values respectively corresponding to different preset moments according to the historical vehicle initial speed curve; sequentially clustering the speed points corresponding to the different speed values according to the sequence of the different preset moments to obtain different clusters; removing clusters with the number of speed points smaller than the preset number from the different clusters, and filling the speed points of the removed clusters to obtain updated speed points of the different clusters; smoothing the speed values respectively corresponding to the updated speed points of the different clusters to obtain different updated speed values respectively corresponding to different preset moments; and connecting the different updating speed values to obtain the historical vehicle speed curve.
The speed points are also used for executing that the speed points at least comprise a first speed point, a second speed point and a third speed point, the first speed point, the second speed point and the third speed point are continuous speed points, difference values between speed values respectively corresponding to the first speed point and the second speed point are obtained, and if the difference values are smaller than a preset threshold value, the first speed point and the second speed point are connected to obtain a first initial cluster; acquiring an average speed between speed values corresponding to the first speed point and the second speed point respectively, and if a difference value between the average speed and a speed value corresponding to a third speed point is smaller than a preset threshold value, connecting the third speed point and the first initial cluster to update the first initial cluster; and if the difference value between the average speed and the speed value corresponding to the third speed point is not less than the preset threshold value, counting the third speed point into a second initial cluster, and marking the first initial cluster as a first cluster.
The cluster removing method is further used for obtaining a speed average value of the M removed clusters when the number of the removed clusters is M, and taking a speed point corresponding to the speed average value as a filling speed point to fill the speed point, wherein M is a positive integer greater than 1; and when the front cluster and the rear cluster of the removed clusters are not removed, acquiring the speed average value of the front cluster and the rear cluster which are not removed, and taking the speed points corresponding to the speed average value of the front cluster and the rear cluster as filling speed points to fill the speed points.
The system is also used for sequentially acquiring different position data of different road sections respectively corresponding to the road network in the historical vehicle track position data; acquiring historical vehicle speed curves respectively corresponding to the different position data, and mapping the historical vehicle speed curves to the different road sections; and acquiring historical vehicle speed curves corresponding to the different road sections respectively to obtain historical average speeds corresponding to the different road sections, and recording the historical average speeds as the actual passing speeds of the historical vehicles.
The system is also used for acquiring different initial average speeds respectively corresponding to different historical vehicle speed curves from the historical vehicle speed curves respectively corresponding to the different road sections; sorting different initial average speeds corresponding to the different road sections according to a size sequence to obtain N different initial average speeds meeting a preset condition, wherein N is a positive integer; and calculating the average speed of the N different initial average speeds meeting the preset condition to obtain the historical average speeds of the different road sections.
And the speed limit value of the road section with the difference value exceeding a preset threshold value is updated to the actual passing speed of the historical vehicle.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the terminal includes corresponding hardware structures and/or software modules for performing the respective functions in order to implement the above-described functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the terminal may be divided into the functional units according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
In accordance with the above, please refer to fig. 7, and fig. 7 is a schematic structural diagram of a device for checking a road speed limit according to an embodiment of the present application. The system comprises an acquisition module 701, a processing module 702, a calculation module 703 and an adjustment module 704, and specifically comprises the following steps:
the acquiring module 701 is used for acquiring historical vehicle track data at preset time, wherein the historical vehicle track data comprises a historical vehicle initial speed curve and historical vehicle track position data;
the processing module 702 is configured to perform filtering and smoothing processing on the historical vehicle initial speed curves respectively to obtain historical vehicle speed curves;
a calculating module 703, configured to map the historical vehicle speed curves respectively corresponding to the historical vehicle track position data to corresponding road segments of a road network, and obtain actual passing speeds of historical vehicles on different road segments;
an adjusting module 704, configured to obtain a difference between preset speed limit values of different road segments and an actual passing speed of the historical vehicle, and adjust the preset speed limit value of the road segment whose difference exceeds a preset threshold
According to the method and the device, the historical vehicle track data are obtained, and the historical vehicle initial speed curve is subjected to filtering smoothing processing to obtain the historical vehicle speed curve; and then mapping historical vehicle speed curves respectively corresponding to the historical vehicle track position data to corresponding road sections of a road network, acquiring the actual passing speeds of historical vehicles of different road sections, further acquiring the difference value between the preset speed limit values of the different road sections and the actual passing speeds of the historical vehicles, and adjusting the preset speed limit values of the road sections of which the difference value exceeds the preset threshold value. By adopting the method, the passing speed of the road Link is mined by utilizing the vehicle track data, and then the road Link speed limit value is verified, so that the road speed limit value is adjusted, and the accuracy of the verification of the road speed limit value is improved.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program causes a computer to execute part or all of the steps of any one of the methods of verifying a road speed limit value as set forth in the above method embodiments.
Embodiments of the present application also provide a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program causes a computer to execute part or all of the steps of any one of the methods for verifying a speed limit value of a road as described in the above method embodiments.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the 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.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may be implemented in the form of a software program module.
The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and the like.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash memory disks, read-only memory, random access memory, magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A method for verifying a road speed limit value is characterized by comprising the following steps:
obtaining historical vehicle track data at preset time, wherein the historical vehicle track data comprises a historical vehicle initial speed curve and historical vehicle track position data;
respectively carrying out filtering smoothing treatment on the historical vehicle initial speed curve to obtain a historical vehicle speed curve;
mapping the historical vehicle speed curves respectively corresponding to the historical vehicle track position data to corresponding road sections of a road network, and acquiring the actual passing speeds of the historical vehicles on different road sections;
and acquiring the difference between the preset speed limit values of different road sections and the actual passing speed of the historical vehicle, and adjusting the preset speed limit value of the road section with the difference exceeding a preset threshold value.
2. The method of claim 1, wherein the filtering and smoothing the historical vehicle initial speed curves to obtain historical vehicle speed curves respectively comprises:
acquiring different speed values respectively corresponding to different preset moments according to the historical vehicle initial speed curve;
sequentially clustering the speed points corresponding to the different speed values according to the sequence of the different preset moments to obtain different clusters;
removing clusters with the number of speed points smaller than the preset number from the different clusters, and filling the speed points of the removed clusters to obtain updated speed points of the different clusters;
smoothing the speed values respectively corresponding to the updated speed points of the different clusters to obtain different updated speed values respectively corresponding to different preset moments;
and connecting the different updating speed values to obtain the historical vehicle speed curve.
3. The method according to claim 2, wherein the speed points at least include a first speed point, a second speed point and a third speed point, the first speed point, the second speed point and the third speed point are continuous speed points, the different clusters at least include a first cluster, and the clustering the speed points corresponding to the different speed values in sequence according to the sequence of the different preset times to obtain the different clusters comprises:
acquiring difference values between speed values respectively corresponding to a first speed point and a second speed point, and if the difference values are smaller than a preset threshold value, connecting the first speed point and the second speed point to obtain a first initial cluster;
acquiring an average speed between speed values corresponding to the first speed point and the second speed point respectively, and if a difference value between the average speed and a speed value corresponding to a third speed point is smaller than a preset threshold value, connecting the third speed point and the first initial cluster to update the first initial cluster;
and if the difference value between the average speed and the speed value corresponding to the third speed point is not less than the preset threshold value, counting the third speed point into a second initial cluster, and marking the first initial cluster as a first cluster.
4. The method of claim 2 or 3, wherein the speed point padding the culled clusters comprises:
when the number of the removed clusters is M, acquiring a speed average value of the M removed clusters, and taking a speed point corresponding to the speed average value as a filling speed point to fill the speed point, wherein M is a positive integer greater than 1;
and when the front cluster and the rear cluster of the removed clusters are not removed, acquiring the speed average value of the front cluster and the rear cluster which are not removed, and taking the speed points corresponding to the speed average value of the front cluster and the rear cluster as filling speed points to fill the speed points.
5. The method according to claim 1, wherein the mapping the historical vehicle speed curves respectively corresponding to the historical vehicle track position data to corresponding road segments of a road network and obtaining the historical actual traffic speeds of the vehicles on different road segments comprises:
sequentially acquiring different position data respectively corresponding to different road sections of a road network in the historical vehicle track position data;
acquiring historical vehicle speed curves respectively corresponding to the different position data, and mapping the historical vehicle speed curves to the different road sections;
and acquiring historical vehicle speed curves corresponding to the different road sections respectively to obtain historical average speeds corresponding to the different road sections, and recording the historical average speeds as the actual passing speeds of the historical vehicles.
6. The method according to claim 5, wherein the obtaining historical vehicle speed curves corresponding to the different road segments respectively to obtain historical average speeds corresponding to the different road segments comprises:
respectively acquiring different initial average speeds corresponding to different historical vehicle speed curves from the historical vehicle speed curves corresponding to the different road sections;
sorting different initial average speeds corresponding to the different road sections according to a size sequence to obtain N different initial average speeds meeting a preset condition, wherein N is a positive integer;
and calculating the average speed of the N different initial average speeds meeting the preset condition to obtain the historical average speeds of the different road sections.
7. The method according to claim 1, wherein the adjusting the preset speed limit value of the road section with the difference value exceeding the preset threshold value comprises:
and updating the preset speed limit value of the road section with the difference value exceeding the preset threshold value into the actual passing speed of the historical vehicle.
8. A device for verifying a road speed limit value is characterized by comprising:
the acquisition module is used for acquiring historical vehicle track data at preset time, wherein the historical vehicle track data comprises a historical vehicle initial speed curve and historical vehicle track position data;
the processing module is used for respectively carrying out filtering smoothing processing on the historical vehicle initial speed curve to obtain a historical vehicle speed curve;
the calculation module is used for mapping the historical vehicle speed curves respectively corresponding to the historical vehicle track position data to corresponding road sections of a road network and acquiring the actual passing speeds of the historical vehicles on different road sections;
and the adjusting module is used for acquiring the difference between the preset speed limit values of different road sections and the actual passing speed of the historical vehicle, and adjusting the preset speed limit value of the road section with the difference exceeding the preset threshold value.
9. A validation server comprising a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory being interconnected, wherein the memory is configured to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of any of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which is executed by a processor to implement the method of any one of claims 1 to 7.
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