CN113706866A - Road jam monitoring method and device, electronic equipment and storage medium - Google Patents
Road jam monitoring method and device, electronic equipment and storage medium Download PDFInfo
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- CN113706866A CN113706866A CN202110994019.2A CN202110994019A CN113706866A CN 113706866 A CN113706866 A CN 113706866A CN 202110994019 A CN202110994019 A CN 202110994019A CN 113706866 A CN113706866 A CN 113706866A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/012—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from other sources than vehicle or roadside beacons, e.g. mobile networks
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The disclosure provides a road blockage monitoring method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The road jam monitoring method comprises the following steps: acquiring mobile signaling data associated with a road to be monitored in real time; determining the user object overlapping rate of the road to be monitored according to the mobile signaling data; determining the congestion level of the road to be monitored according to the user object overlapping rate; and generating a road jam monitoring result based on the jam grade, and visually presenting the road jam monitoring result to complete the jam monitoring of the road to be monitored. According to the technical scheme of the embodiment of the disclosure, the detection and analysis of the road blocking degree can be realized according to the mobile signaling data collected by the communication base station near the road, the cost is low, the road blocking condition can be timely early warned to the user, and the road pressure is relieved.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a road congestion monitoring method, a road congestion monitoring device, an electronic apparatus, and a computer-readable storage medium.
Background
With the rapid development of science and technology, the quality of life of people is greatly improved, and more people select vehicles as transportation tools. The traffic jam analysis and early warning are schemes of analyzing traffic flow on a road within a certain time, timely informing vehicles which will enter a jam road section in the follow-up process and relieving road pressure to a certain extent.
At present, in a scheme for realizing traffic jam analysis and early warning, the construction cost is high, or the acquired data is insufficient, and the early warning accuracy rate is low.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
An object of the embodiments of the present disclosure is to provide a road blockage monitoring method, a road blockage monitoring device, an electronic device, and a computer-readable storage medium, which can improve the accuracy of a detection result and an early warning result at least to a certain extent, and do not improve the construction cost at the same time.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.
According to a first aspect of embodiments of the present disclosure, there is provided a road jam monitoring method, including:
acquiring mobile signaling data associated with a road to be monitored in real time;
determining the user object overlapping rate of the road to be monitored according to the mobile signaling data;
determining the congestion level of the road to be monitored according to the user object overlapping rate;
and generating a road jam monitoring result based on the jam grade, and visually presenting the road jam monitoring result to complete the jam monitoring of the road to be monitored.
In some example embodiments of the present disclosure, based on the foregoing solution, the determining the congestion level of each road to be monitored according to the user object overlap rate includes:
if the user object overlap rate is smaller than or equal to a first overlap rate threshold value, determining that the congestion level of the road to be monitored is no congestion;
if the user object overlap rate is greater than the first overlap rate threshold and less than or equal to a second overlap rate threshold, determining that the congestion level of the road to be monitored is general congestion;
and if the user object overlap rate is greater than the second overlap rate threshold value, determining that the congestion level of the road to be monitored is serious congestion.
In some example embodiments of the present disclosure, based on the foregoing solution, the acquiring, in real time, mobile signaling data associated with a road to be monitored includes:
dividing and constructing a communication base station sequence corresponding to the road to be monitored based on the geographic position of the communication base station;
and acquiring mobile signaling data associated with the road to be monitored in real time through the communication base station sequence.
In some example embodiments of the present disclosure, based on the foregoing solution, the acquiring, in real time, mobile signaling data associated with a road to be monitored includes:
if the number of the communication base stations receiving the mobile signaling data of the same user object in the communication base station sequence is larger than a number threshold, determining that the user object is an object to be analyzed running on the road to be monitored;
and acquiring the mobile signaling data corresponding to the object to be analyzed in real time.
In some example embodiments of the present disclosure, based on the foregoing solution, the determining a user object overlap rate of the road to be monitored according to the mobile signaling data includes:
determining a plurality of target communication base stations from the communication sequence, and using the target communication base stations as a monitoring window;
determining an object to be analyzed corresponding to a first moment in the monitoring window and determining an object to be analyzed corresponding to a second moment according to the collected mobile signaling data;
and determining the user object overlapping rate of the road to be monitored based on the object to be analyzed corresponding to the first moment and the object to be analyzed corresponding to the second moment.
In some example embodiments of the present disclosure, based on the foregoing, the method further includes:
screening a target user object, and generating early warning information according to the identification information of the target user object, the geographic position of the road to be monitored and the blockage level;
and sending the early warning information to the target user object in a form of short message notification.
In some example embodiments of the present disclosure, based on the foregoing scheme, the filtering the target user object includes:
determining the advancing direction of each user object on the road based on the communication base station sequence of the road;
and if the road to be monitored with the congestion grade of common congestion or serious congestion exists in the advancing direction, taking the user object as a target user object.
According to a second aspect of embodiments of the present disclosure, there is provided a road congestion monitoring device comprising:
the signaling data acquisition module is used for acquiring mobile signaling data associated with a road to be monitored in real time;
the user object overlapping rate determining module is used for determining the user object overlapping rate of the road to be monitored according to the mobile signaling data;
the congestion grade determining module is used for determining the congestion grade of the road to be monitored according to the user object overlapping rate;
and the road jam display module is used for generating a road jam monitoring result based on the jam grade and visually presenting the road jam monitoring result so as to complete the jam monitoring of the road to be monitored.
In an exemplary embodiment of the disclosure, based on the foregoing, the congestion level determination module may be configured to:
if the user object overlap rate is smaller than or equal to a first overlap rate threshold value, determining that the congestion level of the road to be monitored is no congestion;
if the user object overlap rate is greater than the first overlap rate threshold and less than or equal to a second overlap rate threshold, determining that the congestion level of the road to be monitored is general congestion;
and if the user object overlap rate is greater than the second overlap rate threshold value, determining that the congestion level of the road to be monitored is serious congestion.
In an exemplary embodiment of the present disclosure, based on the foregoing scheme, the signaling data acquisition module may be configured to:
dividing and constructing a communication base station sequence corresponding to the road to be monitored based on the geographic position of the communication base station;
and acquiring mobile signaling data associated with the road to be monitored in real time through the communication base station sequence.
In an exemplary embodiment of the present disclosure, based on the foregoing scheme, the signaling data acquisition module may further be configured to:
if the number of the communication base stations receiving the mobile signaling data of the same user object in the communication base station sequence is larger than a number threshold, determining that the user object is an object to be analyzed running on the road to be monitored;
and acquiring the mobile signaling data corresponding to the object to be analyzed in real time.
In an exemplary embodiment of the disclosure, based on the foregoing scheme, the user object overlap rate determining module may be configured to:
determining a plurality of target communication base stations from the communication sequence, and using the target communication base stations as a monitoring window;
determining an object to be analyzed corresponding to a first moment in the monitoring window and determining an object to be analyzed corresponding to a second moment according to the collected mobile signaling data;
and determining the user object overlapping rate of the road to be monitored based on the object to be analyzed corresponding to the first moment and the object to be analyzed corresponding to the second moment.
In an exemplary embodiment of the present disclosure, based on the foregoing scheme, the road congestion monitoring device may include a road congestion early warning module, and the road congestion early warning module may be configured to:
screening a target user object, and generating early warning information according to the identification information of the target user object, the geographic position of the road to be monitored and the blockage level;
and sending the early warning information to the target user object in a form of short message notification.
In an exemplary embodiment of the present disclosure, based on the foregoing scheme, the road congestion early warning module may further be configured to:
determining the advancing direction of each user object on the road based on the communication base station sequence of the road;
and if the road to be monitored with the congestion grade of common congestion or serious congestion exists in the advancing direction, taking the user object as a target user object.
According to a third aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including: a processor; and a memory having computer readable instructions stored thereon, the computer readable instructions when executed by the processor implementing any of the above-described road congestion monitoring methods.
According to a fourth aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a road congestion monitoring method according to any one of the above.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
the road jam monitoring method in the exemplary embodiment of the disclosure may acquire mobile signaling data associated with a road to be monitored in real time, determine a user object overlap rate of the road to be monitored according to the mobile signaling data, then determine a jam level of each road to be monitored according to the user object overlap rate, finally generate a road jam monitoring result based on the jam level, and visually present the road jam monitoring result to complete the jam monitoring of the road to be monitored. On one hand, the traffic jam grade of the road to be monitored is determined by combining mobile signaling data collected by a communication base station which is covered in a large range, other monitoring equipment does not need to be additionally built, and the building cost of a road traffic jam monitoring system is reduced; on the other hand, due to the popularization of mobile communication equipment in users and vehicles, the road congestion monitoring result monitored by the mobile signaling data can ensure the sufficiency of the road congestion monitoring result and improve the accuracy of the monitoring result; on the other hand, the blocking grade of the road to be monitored is determined through the user object overlapping rate, and finally, a road blocking monitoring result is generated based on the blocking grade, so that the accuracy and precision of the detection result can be further guaranteed, road blocking early warning is actively carried out, and the trip experience of a user is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty. In the drawings:
fig. 1 schematically illustrates a flow diagram of a road congestion monitoring method according to some embodiments of the present disclosure;
FIG. 2 schematically illustrates a flow diagram for determining a level of congestion according to some embodiments of the present disclosure;
FIG. 3 schematically illustrates a graph of a determination of congestion level versus user object overlap rate, in accordance with some embodiments of the present disclosure;
figure 4 schematically illustrates a schematic diagram of a communication base station sequence, in accordance with some embodiments of the present disclosure;
FIG. 5 schematically illustrates a flow diagram for determining a user object overlap rate, in accordance with some embodiments of the present disclosure;
FIG. 6 schematically illustrates a schematic diagram of determining a congestion level based on a user overlap rate, according to some embodiments of the present disclosure;
fig. 7 schematically illustrates a flow diagram of road congestion warning of a target user object, in accordance with some embodiments of the present disclosure;
FIG. 8 schematically illustrates a flow diagram for screening target user objects, in accordance with some embodiments of the present disclosure;
FIG. 9 schematically illustrates a schematic view of a road congestion monitoring device according to some embodiments of the present disclosure;
FIG. 10 schematically illustrates a structural schematic of a computer system of an electronic device, in accordance with some embodiments of the present disclosure;
fig. 11 schematically illustrates a schematic diagram of a computer-readable storage medium, according to some embodiments of the present disclosure.
In the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the disclosure.
Furthermore, the drawings are merely schematic illustrations and are not necessarily drawn to scale. The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
In a related technical scheme, ground induction coils, speed measuring radars, video monitoring and other monitoring tools are mainly installed on a main road of a city, and traditional road condition information such as occupancy rate, traffic flow and speed of the road is detected through the monitoring tools.
In another related technical scheme, road condition information monitoring is performed through a floating car model based on a Global Positioning System (GPS) technology, in the technical scheme, information is sent to a monitoring center at regular intervals (for example, 10s to 30s) mainly through a GPS terminal installed on a taxi, and the information includes position information, speed, driving direction and the like of a vehicle; after enough taxis are loaded with the GPS terminal, a dynamic and real-time road condition information monitoring network is formed in the whole city, but the floating car model has insufficient data acquisition and is accidental, the sample amount acquisition in scenes such as highways and the like is less, and the accuracy of the obtained detection result is lower.
Based on one or more of the above problems, in this example embodiment, a road congestion monitoring method is first provided, where the road congestion monitoring method may be applied to a server or a terminal device, and this example embodiment is not particularly limited to this. Fig. 1 schematically illustrates a schematic diagram of a road congestion monitoring method flow according to some embodiments of the present disclosure. Referring to fig. 1, the road congestion monitoring method may include the steps of:
step S110, collecting mobile signaling data associated with a road to be monitored in real time;
step S120, determining the user object overlapping rate of the road to be monitored according to the mobile signaling data;
step S130, determining the congestion level of the road to be monitored according to the user object overlapping rate;
and S140, generating a road jam monitoring result based on the jam grade, and visually presenting the road jam monitoring result to finish the jam monitoring of the road to be monitored.
According to the road jam monitoring method in the embodiment, on one hand, the jam grade of the road to be monitored is determined by combining the mobile signaling data collected by the communication base station which is covered in a large range, other monitoring equipment is not required to be additionally built, and the building cost of a road jam monitoring system is reduced; on the other hand, due to the popularization of mobile communication equipment in users and vehicles, the road congestion monitoring result monitored by the mobile signaling data can ensure the sufficiency of the road congestion monitoring result and improve the accuracy of the monitoring result; on the other hand, the blocking grade of the road to be monitored is determined through the user object overlapping rate, and finally, a road blocking monitoring result is generated based on the blocking grade, so that the accuracy and precision of the detection result can be further guaranteed, road blocking early warning is actively carried out, and the trip experience of a user is improved.
Next, the road congestion monitoring method in the present exemplary embodiment will be further described.
In step S110, mobile signaling data associated with the road to be monitored is collected in real time.
In an exemplary embodiment, the road to be monitored refers to a preset traffic road on which the road congestion monitoring needs to be performed, for example, the road to be monitored may be set according to the function of the road, for example, the road to be monitored may be an expressway or a town road, and of course, the road to be monitored may also be set according to the coverage rate of the communication base station, for example, the road to be monitored may also be a road on which the coverage rate of the communication base station is greater than or equal to 70%, which is not particularly limited in this exemplary embodiment.
The Base Station (Base Station) is a public mobile communication Base Station, which is an interface device for mobile equipment to access the internet, and is a form of radio Station, which is a radio transceiver Station for information transmission between mobile telephone terminals and mobile communication switching centers in a certain radio coverage area.
Mobile signalling data (signalling) refers to various signals transmitted in a communication network, the signalling is different from user information, the user information is transmitted directly from an originator to a recipient through the communication network, the signalling generally needs to be transmitted between different links (base station, mobile station and mobile control switching center, etc.) of the communication network, each link is analyzed and processed and forms a series of operations and controls through interaction, and the function of the links is to ensure effective and reliable transmission of the user information.
The collected mobile signaling data may be Measurement Report data (MR), or a interface data, where the interface a refers to an interface between the MSC and the BSC, and the interface a transmits information related to mobile call processing, base station management, mobile station management, channel management, and the like, and of course, the interface a may also be other types of mobile signaling data, which is not limited in this example embodiment.
Specifically, the data of the interface a may be acquired in real time, the time delay may be shortened to a minute level, and the MR data may be used to obtain the user location information with higher accuracy by using a triangulation algorithm, but the time delay is relatively large, and may specifically be set by user-defining according to a specific application scenario, which is not limited in this example embodiment.
The real-time acquisition method can use open source software flash, Kafka and spark testing technologies to perform streaming processing, and realize real-time acquisition of mobile signaling data associated with the road to be monitored.
In step S120, a user object overlap rate of the road to be monitored is determined according to the mobile signaling data.
In an exemplary embodiment, the user object overlap ratio refers to a probability that user objects at different time points in a road overlap, for example, on a 100m road, the user object at time point t is 1, 2, 3, 4, 5, and the user object at time point t +1 is 2, 3, 4, 5, 6, and at this time, the user object overlap ratio on the road is 80%, which is only illustrated schematically here, and should not cause any particular limitation to this exemplary embodiment.
In step S130, a congestion level of the road to be monitored is determined according to the user object overlap rate.
In an exemplary embodiment, the congestion level refers to data used for measuring the severity of congestion of the road to be monitored, for example, the congestion level may be a level one (light congestion), a level two (medium congestion), a level three (heavy congestion), or may be no congestion, normal congestion, heavy congestion, or of course, the congestion level may also be represented by a color, for example, the congestion level may be a level green (light congestion), a level orange (medium congestion), or a level red (heavy congestion), which is not particularly limited in this exemplary embodiment.
In step S140, a road congestion monitoring result is generated based on the congestion level, and the road congestion monitoring result is visually presented to complete congestion monitoring of the road to be monitored.
In an example embodiment, the road congestion monitoring result refers to a statistical analysis result generated by summarizing congestion levels determined by user object overlap rates, for example, the road congestion monitoring result may be a road segment of a certain road with a congestion level higher than a medium congestion level of 1000m, and of course, the road congestion monitoring result may also be other types of statistical analysis results.
After the road congestion monitoring result is obtained, the road congestion monitoring result may be visually presented in the form of a statistical chart, or the road congestion monitoring result may be combined with a traffic road planning map and visually presented in the form of a heat map, or of course, the road congestion monitoring result may be visually presented in other forms, which is not limited in any way in the embodiment of the present invention.
Next, step S110 to step S140 will be described in detail.
In an example embodiment, the determining of the congestion level of the road according to the user object overlap rate may be implemented by the data in fig. 2, and as shown in fig. 2, the determining may specifically include:
step S210, if the user object overlap rate is less than or equal to a first overlap rate threshold, determining that the congestion level of the road to be monitored is no congestion;
step S220, if the user object overlap rate is greater than the first overlap rate threshold value and less than or equal to a second overlap rate threshold value, determining that the congestion level of the road to be monitored is general congestion;
step S230, if the user object overlap rate is greater than the second overlap rate threshold, determining that the congestion level of the road to be monitored is a severe congestion.
The first overlap rate threshold and the second overlap rate threshold refer to preset threshold data for classifying the congestion levels, for example, the first overlap rate threshold may be 20%, the second overlap rate threshold may be 60%, of course, the first overlap rate threshold may also be 30%, the second overlap rate threshold may be 70%, and the specific first overlap rate threshold and the specific second overlap rate threshold may be set by a user according to an actual situation, which is not limited in this example embodiment.
Specifically, fig. 3 schematically illustrates a schematic diagram of a determination relation curve of a congestion level and a user object overlap rate according to some embodiments of the present disclosure, and referring to fig. 3, a determination curve of a user object overlap rate and a congestion level may be set, where R1 refers to a first overlap rate threshold value, and R2 refers to a second overlap rate threshold value, which is only schematically illustrated, and should not cause any particular limitation to this exemplary embodiment.
In an example embodiment, a communication base station sequence corresponding to a road to be monitored may be divided and constructed based on the geographic location of the communication base station, and mobile signaling data associated with the road to be monitored may be collected in real time through the communication base station sequence.
The communication base station sequence is a set sequence which is obtained by fitting and is evenly distributed on two sides of the road to be monitored, the communication base stations in a real scene are generally set according to population living distribution and are not matched with the track of the road to be monitored, so that when data are analyzed, the communication base stations which are used by a user for analyzing the road to be monitored may need to be determined according to mobile signaling data, and extra calculated amount may be generated. Therefore, the communication base station sequence corresponding to the road to be monitored can be divided and constructed in advance based on the geographic position of the communication base station, so that on one hand, the calculated amount during road jam analysis can be reduced, and on the other hand, the communication base station sequence corresponding to each road is planned in advance, so that the calculation efficiency can be improved, the data repetition rate can be reduced, and the accuracy of the road jam monitoring result can be improved.
Specifically, a Geographic Information System (Geographic Information System or Geo-Information System, GIS) buffer analysis technology may be used, based on the Geographic position of the communication base station, and with 500m as a buffer radius (the coverage area of a general base station in a city is 500m, and certainly, other buffer radii may also be used, such as 600m, this example is not limited to this), to perform overlay analysis with the road, to fit the communication base station to the road to be monitored, and through the base station buffer and road overlay analysis, the communication base station sequence distributed on each road to be monitored may be obtained, so as to facilitate subsequent road congestion monitoring analysis.
In an example embodiment, since a vehicle corresponding to a user object may be temporarily parked on a road, but the parked vehicle does not belong to an analysis object of road congestion, it may be determined whether the current user object is a analysis object for road congestion monitoring by determining whether the current user object moves.
Specifically, if the number of the communication base stations receiving the mobile signaling data of the same user object in the communication base station sequence is greater than the number threshold, it may be determined that the user object is an object to be analyzed running on a road to be monitored, and the mobile signaling data corresponding to the object to be analyzed may be collected in real time.
The number threshold refers to threshold data of the number of communication base stations that are preset to determine whether the user object normally travels, for example, the number threshold may be 3 or 4, and generally the number threshold needs to be greater than 2, and of course, the number threshold may also be other thresholds, which is not particularly limited in this example embodiment.
Fig. 4 schematically illustrates a schematic diagram of a communication base station sequence, in accordance with some embodiments of the present disclosure.
Referring to fig. 4, communication base stations around a road to be monitored may be divided and constructed into communication base station sequences I { I, I +1, I +2, I +3, I +4, I +5 … … I + n } corresponding to the road to be monitored based on the geographic location of the communication base stations and the GIS buffer analysis technique. If the vehicle of the user object is temporarily stopped at a position right between the communication base station i and the communication base station i +1, the base station receiving the mobile signaling data of the user object may be switched between i and i +1 due to instability of a communication network, and the driving condition of the user object cannot be correctly judged at this time, so that the data of the analysis object screened and sampled can be more referred by setting the number threshold (generally, the number threshold can be set to be greater than or equal to 3) of the communication base stations receiving the mobile signaling data of the same user object, and the accuracy of the road congestion monitoring result is improved.
In an example embodiment, determining the user object overlap rate of the road to be monitored according to the mobile signaling data may be implemented according to the steps in fig. 5, and as shown in fig. 5, the determining may specifically include:
step S510, determining a plurality of target communication base stations from the communication sequence, and using the plurality of target communication base stations as a monitoring window;
step S520, determining an object to be analyzed corresponding to a first moment and determining an object to be analyzed corresponding to a second moment in the monitoring window according to the collected mobile signaling data;
step S530, determining a user object overlap rate of the road to be monitored based on the object to be analyzed corresponding to the first time and the object to be analyzed corresponding to the second time.
The target communication base station is a communication base station which is screened from a communication sequence and is continuously distributed for carrying out road jam analysis, and under the condition that the road is long and the number of the communication base stations is large, if the road jam analysis is carried out on all the communication base stations, a large calculation amount may be consumed, so that a continuous part of the communication base stations in the road to be detected can be used as a monitoring window for sampling analysis, and the detection and analysis efficiency of the road jam can be effectively improved.
FIG. 6 schematically illustrates a schematic diagram of the principle of determining congestion level as a function of user overlap rate according to some embodiments of the present disclosure
Referring to fig. 6, the traffic jam condition may be determined according to the coincidence rate of the user object monitored at two consecutive times in the monitoring window, and the determination may be performed according to the coincidence rate threshold. For example, if a monitoring window formed by j continuously distributed communication base stations is assumed, the user objects at time T include a, b, c, d, e, f, g, h, i, and j, and the user objects at time T +1 include a, b, u, v, w, x, y, and z, the degree of overlap is 20%, and at this time, it can be considered that at least 20% of the user objects are blocked on the road and cannot continue to travel, but normal travel of other user objects is not affected, so the blocking level is no blocking; of course, if the user objects at the time T +1 include a, b, c, d, e, u, v, w, and x, the degree of overlap is 50%, and at this time, it is considered that at least 50% of the user objects are jammed on the road and cannot move forward, and normal driving of other user objects is affected, so that the jam level is general jam, and warning is required.
In an example embodiment, the early warning of the road congestion of the user object may be implemented through the steps in fig. 7, and as shown in fig. 7, the early warning of the road congestion may specifically include:
step S710, screening a target user object, and generating early warning information according to the identification information of the target user object, the geographic position of the road to be monitored and the blockage level;
step S720, sending the early warning information to the target user object in a form of short message notification.
The target user object refers to a user object that needs to be warned in the road to be monitored, for example, the target user object may be a user object that is heading for a road segment with a road congestion level equal to or higher than a general congestion level, or may be a user object that a navigation route coincides with a road segment with a road congestion level equal to or higher than a general congestion level, which is not particularly limited in this example embodiment.
The identification information of the target user object may be a name of the target user object, or a phone number of the target user object, or of course, may also be other information capable of uniquely identifying the user object, such as a license plate number of the target user object, which is not limited in this embodiment.
For example, the identification information of the target user object is "wang XX, the telephone number is 123", the geographic position of the road to be monitored is "the congestion level is" severe congestion "at a place where a certain mountain ring mountain highway section is close to a toll station 500 m", at this time, the generated early warning information may be "honored telephone number is 123, the number owner of the king is born, the place where the certain mountain ring mountain highway section is close to the toll station 500m is severely congested, the traffic is affected, a route is recommended to be re-planned, the trip is safe", and the route is sent to the mobile terminal or the intelligent vehicle terminal of the target user object through a short message gateway, so that the road congestion early warning is completed.
Specifically, the screening of the target user object may be implemented through the steps in fig. 8, and as shown in fig. 8, the method specifically includes:
step S810, determining the advancing direction of each user object on the road based on the communication base station sequence of the road;
step S820, if there is a road to be monitored with a congestion level of general congestion or severe congestion in the forward direction, taking the user object as a target user object.
The forward direction refers to the driving direction of the user object, and since the communication base station sequences are distributed on two sides of the road to be monitored in sequence, the forward direction of the user object can be determined according to the communication base stations which receive the mobile signaling data at different times.
For example, if the direction of the road to be detected is an east-west direction, the communication base station sequence corresponding to the road to be detected is I { (east) I, I +1, I +2 … … I + n (west) }, then the communication base station receiving the mobile signaling data of the user object in the previous time period is I +1, and the communication base station receiving the mobile signaling data of the user object in the later time period is I +2, then it may be determined that the user object is traveling from east to west, and in this direction, a road segment is generally blocked or severely blocked, and at this time, the user object may be used as a target user object to perform early warning of road blockage.
It should be noted that although the various steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that these steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
Further, in the present exemplary embodiment, a road congestion monitoring device is also provided. Referring to fig. 9, the road congestion monitoring apparatus 900 includes: a signaling data acquisition module 910, a user object overlap rate determination module 920, a congestion level determination module 930, and a road congestion display module. Wherein:
the signaling data acquisition module 910 is configured to acquire mobile signaling data associated with a road to be monitored in real time;
the user object overlap rate determining module 920 is configured to determine a user object overlap rate of the road to be monitored according to the mobile signaling data;
the congestion level determination module 930 is configured to determine a congestion level of the road to be monitored according to the user object overlap rate;
the road congestion display module 940 is configured to generate a road congestion monitoring result based on the congestion level, and visually present the road congestion monitoring result to complete congestion monitoring of a road to be monitored.
In an exemplary embodiment of the disclosure, based on the foregoing, the congestion level determination module 930 may be configured to:
if the user object overlap rate is smaller than or equal to a first overlap rate threshold value, determining that the congestion level of the road to be monitored is no congestion;
if the user object overlap rate is greater than the first overlap rate threshold and less than or equal to a second overlap rate threshold, determining that the congestion level of the road to be monitored is general congestion;
and if the user object overlap rate is greater than the second overlap rate threshold value, determining that the congestion level of the road to be monitored is serious congestion.
In an exemplary embodiment of the present disclosure, based on the foregoing scheme, the signaling data collecting module 910 may be configured to:
dividing and constructing a communication base station sequence corresponding to the road to be monitored based on the geographic position of the communication base station;
and acquiring mobile signaling data associated with the road to be monitored in real time through the communication base station sequence.
In an exemplary embodiment of the present disclosure, based on the foregoing scheme, the signaling data collecting module 910 may further be configured to:
if the number of the communication base stations receiving the mobile signaling data of the same user object in the communication base station sequence is larger than a number threshold, determining that the user object is an object to be analyzed running on the road to be monitored;
and acquiring the mobile signaling data corresponding to the object to be analyzed in real time.
In an exemplary embodiment of the present disclosure, based on the foregoing scheme, the user object overlap rate determining module 920 may be configured to:
determining a plurality of target communication base stations from the communication sequence, and using the target communication base stations as a monitoring window;
determining an object to be analyzed corresponding to a first moment in the monitoring window and determining an object to be analyzed corresponding to a second moment according to the collected mobile signaling data;
and determining the user object overlapping rate of the road to be monitored based on the object to be analyzed corresponding to the first moment and the object to be analyzed corresponding to the second moment.
In an exemplary embodiment of the present disclosure, based on the foregoing solution, the road congestion monitoring device 900 may include a road congestion early warning module, and the road congestion early warning module may be configured to:
screening a target user object, and generating early warning information according to the identification information of the target user object, the geographic position of the road to be monitored and the blockage level;
and sending the early warning information to the target user object in a form of short message notification.
In an exemplary embodiment of the present disclosure, based on the foregoing scheme, the road congestion early warning module may further be configured to:
determining the advancing direction of each user object on the road based on the communication base station sequence of the road;
and if the road to be monitored with the congestion grade of common congestion or serious congestion exists in the advancing direction, taking the user object as a target user object.
The specific details of each module of the road congestion monitoring device have been described in detail in the corresponding road congestion monitoring method, and therefore are not described herein again.
It should be noted that although in the above detailed description several modules or units of the road congestion monitoring device are mentioned, this division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the road congestion monitoring method is also provided.
As will be appreciated by one skilled in the art, aspects of the present disclosure may be embodied as a system, method or program product. Accordingly, various aspects of the present disclosure may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 1000 according to such an embodiment of the present disclosure is described below with reference to fig. 10. The electronic device 1000 shown in fig. 10 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 10, the electronic device 1000 is embodied in the form of a general purpose computing device. The components of the electronic device 1000 may include, but are not limited to: the at least one processing unit 1010, the at least one memory unit 1020, a bus 1030 connecting different system components (including the memory unit 1020 and the processing unit 1010), and a display unit 1040.
Wherein the storage unit stores program code that is executable by the processing unit 1010 to cause the processing unit 1010 to perform steps according to various exemplary embodiments of the present disclosure described in the "exemplary methods" section above in this specification. For example, the processing unit 1010 may execute step S110 shown in fig. 1, and collect mobile signaling data associated with a road to be monitored in real time; step S120, determining the user object overlapping rate of the road to be monitored according to the mobile signaling data; step S130, determining the congestion level of each road to be monitored according to the user object overlapping rate; and S140, generating a road jam monitoring result based on the jam grade, and visually presenting the road jam monitoring result to finish the jam monitoring of the road to be monitored.
The memory unit 1020 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)1021 and/or a cache memory unit 1022, and may further include a read-only memory unit (ROM) 1023.
The electronic device 1000 may also communicate with one or more external devices 1070 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 1000, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 1000 to communicate with one or more other computing devices. Such communication may occur through input/output (I/O) interfaces 1050. Also, the electronic device 1000 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet) via the network adapter 1060. As shown, the network adapter 1060 communicates with the other modules of the electronic device 1000 over the bus 1030. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the electronic device 1000, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the present disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps according to various exemplary embodiments of the present disclosure described in the "exemplary methods" section above of this specification, when the program product is run on the terminal device.
Referring to fig. 11, a program product 1100 for implementing the above-described road congestion monitoring method according to an embodiment of the present disclosure is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes included in methods according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method of monitoring road congestion, comprising:
acquiring mobile signaling data associated with a road to be monitored in real time;
determining the user object overlapping rate of the road to be monitored according to the mobile signaling data;
determining the congestion level of the road to be monitored according to the user object overlapping rate;
and generating a road jam monitoring result based on the jam grade, and visually presenting the road jam monitoring result to complete the jam monitoring of the road to be monitored.
2. The road congestion monitoring method according to claim 1, wherein the determining the congestion level of each road to be monitored according to the user object overlap ratio comprises:
if the user object overlap rate is smaller than or equal to a first overlap rate threshold value, determining that the congestion level of the road to be monitored is no congestion;
if the user object overlap rate is greater than the first overlap rate threshold and less than or equal to a second overlap rate threshold, determining that the congestion level of the road to be monitored is general congestion;
and if the user object overlap rate is greater than the second overlap rate threshold value, determining that the congestion level of the road to be monitored is serious congestion.
3. The method for monitoring road congestion according to claim 1, wherein the real-time collecting of mobile signaling data associated with the road to be monitored comprises:
dividing and constructing a communication base station sequence corresponding to the road to be monitored based on the geographic position of the communication base station;
and acquiring mobile signaling data associated with the road to be monitored in real time through the communication base station sequence.
4. The method for monitoring road congestion according to claim 3, wherein the real-time collecting of mobile signaling data associated with the road to be monitored comprises:
if the number of the communication base stations receiving the mobile signaling data of the same user object in the communication base station sequence is larger than a number threshold, determining that the user object is an object to be analyzed running on the road to be monitored;
and acquiring the mobile signaling data corresponding to the object to be analyzed in real time.
5. The road congestion monitoring method according to claim 4, wherein the determining the user object overlap rate of the road to be monitored according to the mobile signaling data comprises:
determining a plurality of target communication base stations from the communication sequence, and using the target communication base stations as a monitoring window;
determining an object to be analyzed corresponding to a first moment in the monitoring window and determining an object to be analyzed corresponding to a second moment according to the collected mobile signaling data;
and determining the user object overlapping rate of the road to be monitored based on the object to be analyzed corresponding to the first moment and the object to be analyzed corresponding to the second moment.
6. The road congestion monitoring method according to any one of claims 1 to 5, further comprising:
screening a target user object, and generating early warning information according to the identification information of the target user object, the geographic position of the road to be monitored and the blockage level;
and sending the early warning information to the target user object in a form of short message notification.
7. The road congestion monitoring method according to claim 6, wherein the screening of the target user objects comprises:
determining the advancing direction of each user object on the road based on the communication base station sequence of the road;
and if the road to be monitored with the congestion grade of common congestion or serious congestion exists in the advancing direction, taking the user object as a target user object.
8. A road blockage monitoring device, comprising:
the signaling data acquisition module is used for acquiring mobile signaling data associated with a road to be monitored in real time;
the user object overlapping rate determining module is used for determining the user object overlapping rate of the road to be monitored according to the mobile signaling data;
the congestion grade determining module is used for determining the congestion grade of each road to be monitored according to the user object overlapping rate;
and the road jam display module is used for generating a road jam monitoring result based on the jam grade and visually presenting the road jam monitoring result so as to complete the jam monitoring of the road to be monitored.
9. An electronic device, comprising:
a processor; and
a memory having computer readable instructions stored thereon which, when executed by the processor, implement a road congestion monitoring method as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a road congestion monitoring method according to any one of claims 1 to 7.
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| CN116017400A (en) * | 2022-12-26 | 2023-04-25 | 浪潮通信信息系统有限公司 | Kilometer pile high-speed congestion identification method and system based on mobile phone signaling data |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116017400A (en) * | 2022-12-26 | 2023-04-25 | 浪潮通信信息系统有限公司 | Kilometer pile high-speed congestion identification method and system based on mobile phone signaling data |
| CN116017400B (en) * | 2022-12-26 | 2024-03-08 | 浪潮通信信息系统有限公司 | Kilometer pile high-speed congestion identification method and system based on mobile phone signaling data |
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