CN108281023B - Method and system for displaying real-time road conditions through mobile terminal - Google Patents
Method and system for displaying real-time road conditions through mobile terminal Download PDFInfo
- Publication number
- CN108281023B CN108281023B CN201611258041.6A CN201611258041A CN108281023B CN 108281023 B CN108281023 B CN 108281023B CN 201611258041 A CN201611258041 A CN 201611258041A CN 108281023 B CN108281023 B CN 108281023B
- Authority
- CN
- China
- Prior art keywords
- base station
- street
- mobile terminals
- mobile terminal
- group
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096783—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a roadside individual element
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/025—Services making use of location information using location based information parameters
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention provides a method and a system for displaying real-time road conditions through a mobile terminal, wherein the method comprises the following steps: obtaining a base station sequence group corresponding to a street based on the street and base stations distributed in a certain range at two sides of the street; and obtaining the number of the mobile terminals on the street based on the MR measurement report of the mobile terminal and the base station sequence group. And positioning the mobile terminal through the base stations in the base station sequence group of each street and the MR measurement report of the mobile terminal, and attaching the mobile terminal to each street, namely obtaining the real-time road condition of the street. Compared with the prior art, the method has the advantages of simple process and ingenious design, and can be used for clearly knowing whether each street is smooth or crowded.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a method and a system for displaying real-time road conditions through a mobile terminal.
Background
At present, the main technical scheme about urban traffic real-time road condition people stream calculation and display is still to install a camera shooting device, infrared induction and the like.
With the rapid development of the mobile internet, the positioning of the mobile terminal becomes the focus of the industry. The positioning position of the mobile terminal is utilized to solve the display of the urban traffic intersection, which becomes a hot subject.
There are some methods in the mobile terminal location technology:
the positioning method based on MRO data comprises the following steps: the method for determining the position of the mobile terminal by continuously reducing the range of the mobile terminal by utilizing the relationship between the AOA value and the TA value of the main base station of the mobile terminal and the AOA value and the TA value of the adjacent base station is simultaneously used for counting the pedestrian flow of the traffic street, the base stations of the mobile terminal are switched, the switched base stations need to be in the street base station sequence group which is identified in advance, and the TA value and the AOA value meet the requirement range, so that the mobile terminal can be identified.
The A-GPS positioning method comprises the following steps: the mobile terminal is positioned by combining the network base station information and the GPS information, and can be used in GSM/GPRS, WCDMA, CDMA2000 and TD-SCDMA networks. The technology needs to add a GPS receiver module in the mobile phone, transform the mobile phone antenna, and add a position server, a differential GPS reference station and other devices on the mobile network. If the positioning effectiveness of the scheme in the indoor GPS signal shielding area is improved, a bit measurement unit (LMU) similar to that in the EOTD scheme is added.
A triangulation location method; taking the GPS positioning principle as an example, 24 satellites are evenly distributed on 6 orbital planes, and 4 satellites orbit the earth on each orbital plane, so that a ground user can have at least more than 4 GPS satellites in the air for the user to use no matter where the user is at any place and at any time. Each satellite transmits radio signals covering the coordinates and running time of its own orbit plane to the earth surface, and the earth receiving unit can perform precise measurement such as positioning, navigation, landmark, etc. according to the data.
In the aspect of display, the method comprises the steps of displaying road condition information based on an electronic map, displaying in real time based on a mobile phone map and displaying by 3D scanning.
The prior art has the defects of poor accuracy and time delay in real-time performance, but the mobile terminal positioning technology method about disassembling is more, but the method is not accurate in people stream statistics combined with urban traffic road conditions.
Disclosure of Invention
The present invention provides a method of displaying real-time road conditions by a mobile terminal that overcomes or at least partially solves the above-mentioned problems.
According to one aspect of the present invention, a method for displaying real-time traffic conditions through a mobile terminal is provided, which includes:
s1, obtaining a base station sequence group corresponding to the street based on the street and base stations distributed in a certain range at two sides of the street; and
and S2, obtaining the number of the mobile terminals on the street based on the MR measurement report of the mobile terminal and the base station sequence group.
According to another aspect of the present invention, there is also provided a system for displaying real-time road conditions via a mobile terminal, comprising:
the base station searching module is used for obtaining a base station sequence group corresponding to a street based on the street and base stations distributed in a certain range on two sides of the street;
the search terminal module is used for obtaining the number of the mobile terminals on the street based on the MR measurement report of the mobile terminals and the base station sequence group; and
and the road condition map generating module is used for constructing a road condition map based on the number of the mobile terminals and the longitude and latitude of each base station in the base station sequence group.
According to the method and the device, the mobile terminal is positioned through the base stations in the base station sequence group of each street and the MR measurement report of the mobile terminal, the mobile terminal is attached to each street, and therefore the real-time road conditions of the street are obtained. Compared with the prior art, the method has the advantages of simple process and ingenious design, and can be used for clearly knowing whether each street is smooth or crowded.
Drawings
Fig. 1 is a flowchart of a method for displaying real-time road conditions through a mobile terminal according to an embodiment of the present invention;
fig. 2 is a schematic diagram of screening base stations of a first type according to an embodiment of the present invention;
fig. 3 is a schematic flow chart illustrating road condition thermodynamic diagrams constructed according to an embodiment of the invention;
fig. 4 is a schematic diagram of the latitude and longitude of a plurality of base stations in a base station group according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
Aiming at the problems that the existing methods for calculating and displaying the pedestrian flow of the urban traffic real-time road condition are more traditional, so that the accuracy and the real-time performance are insufficient, the mobile terminal positioning technology methods for disassembling are more, but the methods are not accurate in the pedestrian flow statistics combined with the urban traffic road condition. The method and the device aim to solve the punctuality of urban traffic road condition pedestrian flow statistics and display. And identifying the mobile terminals on the urban streets by using measurement report data sent by the MR every 480ms, aggregating the positions of thousands of mobile terminals, and inputting the aggregated positions into a map API (application program interface) to form the urban road condition thermodynamic diagram.
Fig. 1 is a flowchart illustrating a method for displaying real-time traffic status through a mobile terminal according to an embodiment of the present invention, including:
s1, obtaining a base station sequence group corresponding to the street based on the street and base stations distributed on the two sides of the street in a certain range; and
and S2, obtaining the number of the mobile terminals on the street based on the MR measurement report of the mobile terminal and the base station sequence group.
The invention positions the mobile terminal through the MR measurement reports of the base stations in the base station sequence group of each street and the mobile terminal, and the mobile terminal is attached to each street, namely the real-time road condition of the street is obtained. Compared with the prior art, the method has the advantages of simple process and ingenious design, and can be used for clearly knowing whether each street is smooth or crowded.
In one embodiment, the step S1 includes:
in ArcGis, a certain geographical range is radiated from the center line of a street to the two sides of the street, and all base stations in the geographical range are gathered to be used as the first type base stations.
ArcGIS is a GIS platform product, has strong mapping, spatial data management, spatial data integration and spatial analysis capabilities, and is common tool software for technicians in the field.
Fig. 2 shows a schematic diagram of screening of base stations of the first type, where the dashed boxes indicate the geographical range of radiation, and the tridentate indicates the base stations, where the geographical range of radiation is from the center line of the street to both sides of the street, and although there are many base stations in fig. 2, the geographical range only contains a small number of base stations, in order to ensure that the base stations of the first type are accurately divided, the base stations located along both sides of the street are selected, and no base station far from the street is selected.
In one embodiment, when no base station is found in the first radiated geographical range, the radiated geographical range may be further expanded, for example, the original radiation range is 5m on both sides of the street, and then the expanded radiation range may be 10m, and if no base station is found, the radiation range may be further expanded until a base station on the side of the street is found.
In one embodiment, although some base stations are not within the radiation range on the map, some sectors of the base stations may overlap with the coverage area, and therefore, step S1 further needs to find a base station of a street to which a certain sector belongs, perform intersection operation on the sector plane and the grid plane of the base station, and determine that the sector plane of the base station belongs to the street when the intersection reaches a certain threshold.
In one embodiment, the base station with the largest intersection between the coverage area of a certain sector and the geographical area is taken as the second type base station.
Specifically, the second base station is found by adopting the point-plane intersection principle: listing all GIS coordinate points (X, Y) of a sector A, listing all GIS coordinate points (X ', Y') of a sector B, listing all the same coordinate points through logic and operation, operating the intersection surfaces of a sector coverage surface and all grids, selecting the maximum value, using the maximum value of the intersection surface as the grid attribution of the sector, and removing the non-maximum sectors of the intersection surface in the grids.
For example, if the sector a has an intersection with three grids 1\2\3 at the same time, but the intersection of the sector a with grid 1 is the largest, the sector a is assigned to grid 1, and the sector a is removed from grids 2 and 3.
In one embodiment, after finding out the first type base station and the second type base station, the first type base station and the second type base station are sorted along a certain direction of a street to obtain a base station order group of the street.
The invention also provides a method for determining the number of mobile terminals on each street based on the MR data positioning terminal. MR data (Measurement Report) refers to data that a mobile terminal transmits to a base station every 480ms (470 ms on a signaling channel) on a traffic channel, and is generally used for network evaluation and network optimization.
The MR data typically includes signal quality data of the main base station and the plurality of neighboring base stations, the signal quality data including an average signal strength, an average value of signal strength differences between the main base station and the neighboring base stations, a signal strength of the neighboring base stations, a number of MR data of the neighboring base stations, a signal strength of the main base station, a number of measurement reports in which a signal strength difference between the main base station and the neighboring base stations is greater than an interference level threshold 1 of the neighboring base stations, a number of measurement reports in which a signal strength difference between the main base station and the neighboring base stations is greater than an interference level threshold 2 of the neighboring base stations, a TA value, and an ao.
The data used in the method for determining the number of mobile terminals on each street based on the MR data positioning terminal are the AOA value and the TA value.
AOA value: an estimated angle of a mobile terminal with respect to a measurement direction, which is generally a north direction, is rotated in a counterclockwise direction to calculate an angle. The value range of the AOA value is 0-360 degrees, the precision of the AOA value is 5 degrees, namely, one interval is formed every 5 degrees. Table 1 shows a table of correspondence between AOA values and angles of mobile terminals relative to a measuring direction
| MR statistical data | MR interval distribution (unit: degree) |
| MR.AOA.00 | 0<A0A_ANGLE<5 |
| … | … |
| MR.AOA.71 | 355<AOA_ANGLE<360 |
TABLE 1 table of correspondence between AOA values and angles of mobile terminals relative to measuring directions
As can be seen from table 1, the first AOA value is denoted mr. aoa.00 with an angular range of 0-5 °, the second AOA value is denoted mr. aoa.01 with an angular range of 5-10 °, e.g. when mr. aoa.71 is present, we know that the mobile terminal is between 355 ° -360 ° compared to due north.
TA value: the maximum time advance is the difference between the time when the mobile terminal signal arrives at the base station and the time when the mobile terminal arrives at the base station assuming that the distance between the mobile terminal signal and the base station is 0.
Table 2 is a table of correspondence between TA values and coverage areas of base stations
As can be seen from table 2, each TA value corresponds to a maximum distance and a minimum distance of the coverage area of the base station, for example, when the TA value is 100, it is known that the coverage area of the base station is 7812-7890.12 m.
In one embodiment, after obtaining the base station sequence group of the street, step S2 is executed to obtain the number of mobile terminals on the street, where the step S2 includes:
and acquiring mobile terminals of which the main base station belongs to the base station sequence group in the MR measurement report, and collecting the mobile terminals as a mobile terminal group.
Based on the AOA value of the main base station in each MR strategy report, mobile terminals of the mobile terminals and the respective main base station on different sides are removed from the mobile terminal group:
if the street direction is north-south, the base stations are on the left and right sides of the street, and when the main base station of the mobile terminal is on the left side of the street (looking north-side to the street), the AOA value of the mobile terminal is greater than mr. aoa.00 and less than mr. aoa.36,
if the main base station is on the right side of the street, the AOA value of the mobile terminal is greater than MR.AOA.36 and less than MR.AOA.71;
if the street direction is east-west, when the main base station of the mobile terminal is on the left side of the street (facing west-looking at the street), then the AOA value of the mobile terminal is greater than mr. aoa.54 and less than mr. aoa.18, and the other directions can be calculated similarly.
And acquiring the initially selected mobile terminal corresponding to each main base station based on the TA values of the main base stations in the MR strategy reports of the mobile terminal group and the mobile terminals.
In one embodiment, if the angle between the distance from the base station to the mobile terminal and the distance from the base station to the street in the direction of one side of the street covered by the base station is less than 90 °, the distance from the base station to the street is d, the street width is x, the angle between the distance from the base station to the mobile terminal and the distance from the base station to the street is a (0 ° < a <90 °), and the mobile terminal is considered as a point, and the street is considered as a straight line, then the mobile terminals initially selected for each main base station are:
acquiring the vertical distance d from each main base station to a street, the width x of the street and the included angle a (0 degrees < a <90 degrees) between the line segment from the street to the mobile terminal and the shortest line segment of the main base station and the street corresponding to the mobile terminal;
the coverage distance t corresponding to the acquired TA value meets the condition: all TA values of d tan (a) < t < (d + x) > tan (a) constitute a TA value set;
acquiring a coverage distance t closest condition corresponding to the TA value from the TA value set: TA value of d tan (a) - (d + x) tan (a); and
and selecting the mobile terminal with the TA value obtained in step S2.2.3 from the mobile terminal group, and obtaining the initially selected mobile terminal corresponding to each main base station.
The step S2 further includes: and acquiring a plurality of terminal selection mobile terminals corresponding to each main base station based on the relation between the main base station and the adjacent base station in the MR strategy report of each primary selection mobile terminal and the base station sequence group, wherein the sum of the terminal selection mobile terminals of all the main base stations is the number of the mobile terminals on the street.
If the street direction is the north-south direction, the base stations are arranged at the left side and the right side of the street, when the main base station of the mobile terminal is arranged at the left side of the street (facing the north direction of the street), the AOA value of the mobile terminal is larger than MR.AOA.00 and smaller than MR.AOA.36, and if the main base station is arranged at the right side of the street, the AOA value of the mobile terminal is larger than MR.AOA.36 and smaller than MR.AOA.71;
if the street direction is east-west, when the main base station of the mobile terminal is on the left side of the street (facing west view of the street), the AOA value of the mobile terminal is greater than mr. aoa.54 and less than mr. aoa.18. Other directions are calculated in the same way.
The population on each street can be determined by satisfying the above conditions. Because the MR data is transmitted once every 480ms, the urban road condition can be displayed in a quasi-real-time manner.
In one embodiment, the base station can determine which side direction of the road the base station is in when creating the base station order group according to gis, but the position relationship of the mobile terminal and the base station can be further identified by the main base station AOA value.
Fig. 3 shows a schematic flow chart of constructing a road condition thermodynamic diagram according to an embodiment of the present invention, as can be seen, the method includes slicing map layers, aggregating base stations under the slices according to distance, implementing statistics of mobile terminals at each aggregation point, and obtaining the road condition thermodynamic diagram.
Map slicing is to cut a map into many small blocks with the same size, and these small blocks are called slices. When the map is called, only the needed part is sent, so that the bandwidth is saved, and meanwhile, the time for rendering the map in real time is saved.
Firstly, a road condition thermodynamic diagram needs to be obtained from a map API (such as a Baidu map, a Gaode map, a Tiger map, etc.), taking Baidu as an example, since the Baidu map API does not support too many (generally 100) base station location points at a time, the invention proposes an aggregation calculation for the base station location points, and the calculation method includes:
and when the number of the base station position points is less than 100, all the base station position points are transmitted to hundred degrees for rendering display, and when the number of the base station position points exceeds 100, all the base station position points in the area are aggregated to form 100 base station position points, and then the aggregated base station position points and the aggregated mobile terminal number on the base station position points are transmitted to hundred degrees for display.
The invention also provides a base station location point aggregation algorithm:
s3.1, acquiring the longitude and latitude of each base station in the base station sequence group, the number of mobile terminals corresponding to any base station as a main base station and the maximum display number of information points of a map API;
s3.2, when the number of the base stations is larger than the maximum display number, aggregating the number of the base stations into a base station group with the maximum display number based on a clustering algorithm, wherein any one base station group comprises at least one base station;
and S3.3, acquiring the virtual longitude and latitude of each base station group on the map API based on the longitude and latitude of the base stations in each base station group and the number of the mobile terminals corresponding to the base stations as the main base stations.
Fig. 4 shows the longitude and latitude of a plurality of base stations in a base station group, as can be seen from fig. 4, the base station group includes a base station a and B base station B, where the number of mobile terminals using the base station a as a main base station is 300, and the number of mobile terminals using the base station B as a main base station is 200, then the virtual longitude and latitude of the base station group on the map API is ((300 × 36.4356+200 × 136.4356)/(300+200), (300 × 48.9872+200 × 38.9872)/(300+200)), that is, (76.4356, 44.9872).
Therefore, thousands of position points are converted into input data, and the data are displayed on a hundred-degree API (application program interface), so that the urban road condition thermodynamic diagram is realized. The urban road condition is realized by thermodynamic diagram colors, and the traffic flow density and the congestion condition are displayed in light and dark colors. For example:
when the number m of the mobile terminals is less than m1people/Ym X m (length Y m, road width X m), the road is smooth;
when the number m of mobile terminals is m1-m2people/Ym Xm (length Y meters, road width X meters), then the road is crowded;
when the number m of the mobile terminal is larger than m2people/Ym X m (length Y m, road width X m), the road is very crowded
Wherein, the number m of the mobile terminal is obtained by the method, and X and Y can be randomly divided on the GIS. Threshold value m1And m2The road condition of each coded road is determined by monitoring each coded road in one month and time intervals, so that the real-time calculation and display of the road condition of the urban road are realized.
The population on each road of the city is counted in a full real-time mode and is displayed in a thermodynamic diagram mode, so that the traffic is smooth, and the congestion can be clear at a glance.
In one embodiment, the present invention further provides a system for displaying real-time traffic conditions via a mobile terminal, including:
the base station searching module is used for obtaining a base station sequence group corresponding to a street based on the street and base stations distributed in a certain range on two sides of the street;
the search terminal module is used for obtaining the number of the mobile terminals on the street based on the MR measurement report of the mobile terminals and the base station sequence group; and
and the road condition map generating module is used for constructing a road condition map based on the number of the mobile terminals and the longitude and latitude of each base station in the base station sequence group.
In one embodiment, the base station searching module includes:
the first-level searching unit is used for radiating a certain geographical range from the central line of a street to two sides of the street, and collecting all base stations positioned in the geographical range as first-type base stations;
the secondary searching unit is used for collecting all base stations with the largest intersection surface between the coverage surface of a certain sector and the geographic range as a second type of base station; and
and the sequencing unit is connected with the primary searching unit and the secondary searching unit and used for sequencing the first base station and the second base station along a certain direction of a street to obtain a base station sequence group of the street.
In one embodiment, the search terminal module includes:
the mobile terminal group unit is connected with the sorting unit and is used for acquiring mobile terminals of which main base stations belong to the base station sequence group in an MR measurement report, and the mobile terminals are gathered into a mobile terminal group;
the primary mobile terminal unit is connected with the mobile terminal group unit and used for acquiring primary mobile terminals corresponding to each main base station based on the mobile terminal group and the TA value of the main base station in the MR strategy report of each mobile terminal; and
and the terminal quantity confirming unit is connected with the primary selection mobile terminal unit and is used for obtaining a plurality of terminal selection mobile terminals corresponding to each main base station based on the relation between the main base station and the adjacent base station in the MR strategy report of each primary selection mobile terminal and the base station sequence group, and the sum of the terminal selection mobile terminals of all the main base stations is the quantity of the mobile terminals on the street.
In one embodiment, the road map generation module includes:
the comprehensive acquisition unit is connected with the search base station module and the search terminal module, and acquires the longitude and latitude of each base station in the base station sequence group, the number of mobile terminals corresponding to any base station as a main base station and the maximum display number of information points of the map API;
the aggregation unit is connected with the comprehensive acquisition unit and used for aggregating the number of the base stations into a base station group with the maximum display number based on a clustering algorithm when the number of the base stations is larger than the maximum display number, wherein any one base station group comprises at least one base station; and
and the road condition map generating unit is connected with the aggregation unit, acquires the virtual longitude and latitude of each base station group on the map API based on the longitude and latitude of the base station in each base station group and the number of the mobile terminals corresponding to the base station as a main base station, and displays the number of the mobile terminals on the virtual longitude and latitude of each base station group to form the road condition map.
In one embodiment, the system further comprises:
and the thermodynamic diagram module is connected with the road condition diagram generating module and is used for obtaining the road condition thermodynamic diagrams based on the number of the mobile terminals of each base station in the road condition diagram and the thermodynamic diagram colors corresponding to the number of the mobile terminals.
Finally, the method of the present application is only a preferred embodiment and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (11)
1. A method for displaying real-time road conditions through a mobile terminal is characterized by comprising the following steps:
s1, obtaining a base station sequence group corresponding to the street based on the street and base stations distributed in a certain range at two sides of the street; and
s2, obtaining the number of the mobile terminals on the street based on the MR measurement report of the mobile terminal and the base station sequence group;
wherein the step S2 includes:
s2.1, acquiring mobile terminals of the main base station in the MR measurement report, wherein the main base station belongs to the base station sequence group, and the mobile terminals are collected into a mobile terminal group;
s2.2, acquiring primary selection mobile terminals corresponding to the main base stations based on the mobile terminal group and the TA values of the main base stations in the MR strategy reports of the mobile terminals; and
s2.3, acquiring a plurality of terminal selection mobile terminals corresponding to each main base station based on the relation between the main base station and adjacent base stations in the MR strategy report of each primary selection mobile terminal and the base station sequence group, wherein the sum of the terminal selection mobile terminals of all the main base stations is the number of the mobile terminals on the street;
the method further comprises the following steps:
s3, building a road condition map based on the number of the mobile terminals and the longitude and latitude of each base station in the base station sequence group.
2. The method of claim 1, wherein the step S1 includes:
s1.1, radiating a certain geographical range from a central line of a street to two sides of the street, and collecting all base stations positioned in the geographical range as first-class base stations;
s1.2, collecting all base stations with the largest intersection surface between the coverage surface of a certain sector and the geographic range as a second type of base station; and
s1.3, sequencing the first type base station and the second type base station along a certain direction of a street to obtain a base station sequence group of the street.
3. The method of claim 1, wherein said step S2.2 comprises:
s2.2.1, collecting the vertical distance d from each main base station to the street, the street width x and the included angle a between the line segment from the street to the mobile terminal and the shortest line segment of the main base station and the street corresponding to the mobile terminal, wherein 0 degree < a <90 degrees;
s2.2.2, acquiring the coverage distance t corresponding to the TA value to meet the condition: all TA values of d tan (a) < t < (d + x) > tan (a) constitute a TA value set;
s2.2.3, collecting the closest condition of the coverage distance t corresponding to the TA value from the TA value set: TA value of d tan (a) - (d + x) tan (a); and
s2.2.4, selecting the mobile terminal with TA value obtained in the step S2.2.3 from the mobile terminal group, and obtaining the initial selection mobile terminal corresponding to each main base station.
4. The method of claim 1, wherein step S2.2 is preceded by:
and based on the AOA value of the main base station in each MR strategy report, removing the mobile terminals of the mobile terminals on different sides from the main base station from the mobile terminal group.
5. The method of claim 1, wherein the step S3 includes:
s3.1, acquiring the longitude and latitude of each base station in the base station sequence group, the number of mobile terminals corresponding to any base station as a main base station and the maximum display number of information points of a map API;
s3.2, when the number of the base stations is larger than the maximum display number, aggregating the number of the base stations into a base station group with the maximum display number based on a clustering algorithm, wherein any one base station group comprises at least one base station;
and S3.3, acquiring the virtual longitude and latitude of each base station group on a map API based on the longitude and latitude of the base station in each base station group and the number of the mobile terminals corresponding to the base station as a main base station, and displaying the number of the mobile terminals on the virtual longitude and latitude of each base station group to form the road condition map.
6. The method of claim 5, wherein the step S3 further comprises:
and when the number of the base stations is not more than the maximum display number, obtaining the virtual longitude and latitude of each base station in a map API (application program interface) based on the longitude and latitude of each base station and the number of the mobile terminals corresponding to the base station as a main base station, and displaying the number of the mobile terminals on the virtual longitude and latitude of each base station group to form the road condition map.
7. The method of claim 4, further comprising:
and S4, obtaining the road condition thermodynamic diagrams based on the number of the mobile terminals of each base station in the road condition diagrams and the thermodynamic diagram colors corresponding to the number of the mobile terminals.
8. A system for displaying real-time road conditions through a mobile terminal is characterized by comprising:
the base station searching module is used for obtaining a base station sequence group corresponding to a street based on the street and base stations distributed in a certain range on two sides of the street;
the search terminal module is connected with the search base station module and obtains the number of the mobile terminals on the street based on the MR measurement report of the mobile terminals and the base station sequence group; and
the road condition map generating module is connected with the base station searching module and the terminal searching module, and the road condition map generating module constructs a road condition map based on the number of the mobile terminals and the longitude and latitude of each base station in the base station sequence group;
the search terminal module includes:
the mobile terminal group unit is used for acquiring mobile terminals of the main base station in the MR measurement report, wherein the main base station belongs to the base station sequence group, and the mobile terminals are collected into a mobile terminal group;
the primary mobile terminal unit is connected with the mobile terminal group unit and used for acquiring primary mobile terminals corresponding to each main base station based on the mobile terminal group and the TA value of the main base station in the MR strategy report of each mobile terminal; and
and the terminal quantity confirming unit is connected with the primary selection mobile terminal unit and is used for obtaining a plurality of terminal selection mobile terminals corresponding to each main base station based on the relation between the main base station and the adjacent base station in the MR strategy report of each primary selection mobile terminal and the base station sequence group, and the sum of the terminal selection mobile terminals of all the main base stations is the quantity of the mobile terminals on the street.
9. The system of claim 8, wherein said searching for a base station module comprises:
the first-level searching unit is used for radiating a certain geographical range from the central line of a street to two sides of the street, and collecting all base stations positioned in the geographical range as first-type base stations;
the secondary searching unit is used for collecting all base stations with the largest intersection surface between the coverage surface of a certain sector and the geographic range as a second type of base station; and
and the sequencing unit is connected with the primary searching unit and the secondary searching unit and used for sequencing the first base station and the second base station along a certain direction of a street to obtain a base station sequence group of the street.
10. The system of claim 9, wherein the road map generation module comprises:
the comprehensive acquisition unit is connected with the search base station module and the search terminal module, and acquires the longitude and latitude of each base station in the base station sequence group, the number of mobile terminals corresponding to any base station as a main base station and the maximum display number of information points of the map API;
the aggregation unit is connected with the comprehensive acquisition unit and used for aggregating the number of the base stations into a base station group with the maximum display number based on a clustering algorithm when the number of the base stations is larger than the maximum display number, wherein any one base station group comprises at least one base station; and
and the road condition map generating unit is connected with the aggregation unit, acquires the virtual longitude and latitude of each base station group on the map API based on the longitude and latitude of the base station in each base station group and the number of the mobile terminals corresponding to the base station as a main base station, and displays the number of the mobile terminals on the virtual longitude and latitude of each base station group to form the road condition map.
11. The system of claim 10, further comprising:
and the thermodynamic diagram module is connected with the road condition diagram generating module and is used for obtaining the road condition thermodynamic diagrams based on the number of the mobile terminals of each base station in the road condition diagram and the thermodynamic diagram colors corresponding to the number of the mobile terminals.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611258041.6A CN108281023B (en) | 2016-12-30 | 2016-12-30 | Method and system for displaying real-time road conditions through mobile terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611258041.6A CN108281023B (en) | 2016-12-30 | 2016-12-30 | Method and system for displaying real-time road conditions through mobile terminal |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108281023A CN108281023A (en) | 2018-07-13 |
| CN108281023B true CN108281023B (en) | 2020-08-21 |
Family
ID=62800238
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611258041.6A Active CN108281023B (en) | 2016-12-30 | 2016-12-30 | Method and system for displaying real-time road conditions through mobile terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108281023B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109326123B (en) * | 2018-11-15 | 2021-01-26 | 中国联合网络通信集团有限公司 | Road condition information processing method and device |
| CN110517487B (en) * | 2019-08-16 | 2020-11-06 | 重庆特斯联智慧科技股份有限公司 | Urban area traffic resource regulation and control method and system based on thermodynamic diagram change identification |
| CN110599782B (en) * | 2019-11-07 | 2021-06-11 | 山西省地震局 | Method for controlling duration of traffic lights according to population distribution thermodynamic diagrams |
| CN112649827A (en) * | 2020-11-30 | 2021-04-13 | 四川旷谷信息工程有限公司 | Seamless switching real-time navigation method and equipment for indoor and outdoor rail transit |
| CN114384901B (en) * | 2022-01-12 | 2022-09-06 | 浙江中智达科技有限公司 | Reinforced learning aided driving decision-making method oriented to dynamic traffic environment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1295273B1 (en) * | 2000-06-14 | 2005-03-02 | Vodafone Holding GmbH | Method for detecting traffic data |
| CN104038952A (en) * | 2014-06-25 | 2014-09-10 | 兴天通讯技术（天津）有限公司 | Emergency prediction method and system |
| CN104835016A (en) * | 2015-05-27 | 2015-08-12 | 北京搜狐新媒体信息技术有限公司 | Crowd density calculation method and device |
| CN105070057A (en) * | 2015-07-24 | 2015-11-18 | 江苏省公用信息有限公司 | Method for monitoring real-time road conditions of road |
| CN105355041A (en) * | 2015-10-23 | 2016-02-24 | 上海卓易科技股份有限公司 | Road condition prediction method and system |
| CN105828429A (en) * | 2015-01-06 | 2016-08-03 | 中国移动通信集团内蒙古有限公司 | Method and system for identifying home grid of terminal |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106131789A (en) * | 2016-08-16 | 2016-11-16 | 杭州诚智天扬科技有限公司 | Scenic spot based on mobile signaling protocol visitor's heating power map generalization method |
-
2016
- 2016-12-30 CN CN201611258041.6A patent/CN108281023B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1295273B1 (en) * | 2000-06-14 | 2005-03-02 | Vodafone Holding GmbH | Method for detecting traffic data |
| CN104038952A (en) * | 2014-06-25 | 2014-09-10 | 兴天通讯技术（天津）有限公司 | Emergency prediction method and system |
| CN105828429A (en) * | 2015-01-06 | 2016-08-03 | 中国移动通信集团内蒙古有限公司 | Method and system for identifying home grid of terminal |
| CN104835016A (en) * | 2015-05-27 | 2015-08-12 | 北京搜狐新媒体信息技术有限公司 | Crowd density calculation method and device |
| CN105070057A (en) * | 2015-07-24 | 2015-11-18 | 江苏省公用信息有限公司 | Method for monitoring real-time road conditions of road |
| CN105355041A (en) * | 2015-10-23 | 2016-02-24 | 上海卓易科技股份有限公司 | Road condition prediction method and system |
Non-Patent Citations (1)
| Title |
|---|
| 基于C网用户信息的高速公路路况分析算法;张琳 等;《电信快报》;20111130(第11期);第7-9页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108281023A (en) | 2018-07-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108281023B (en) | Method and system for displaying real-time road conditions through mobile terminal | |
| EP2805176B1 (en) | Improved positioning system | |
| WO2017107800A1 (en) | Method of acquiring route hotspot of traffic road and device | |
| US9426044B2 (en) | Radio access network geographic information system with multiple format | |
| CN105466435B (en) | Route planning method and device of navigation system | |
| US6975939B2 (en) | Mapping patterns of movement based on the aggregation of spatial information contained in wireless transmissions | |
| CN106710293A (en) | Dynamic and intelligent vehicle guidance method for underground parking lot | |
| CN110913331A (en) | Base station interference source positioning system and method | |
| CN105718465A (en) | Geofence generation method and device | |
| GB2499625A (en) | Hybrid method for locating mobile phones | |
| CN106772238B (en) | Vehicle positioning method and device | |
| CN106604291B (en) | RTK moving reference station site selection method and device | |
| CN114173356A (en) | Network quality detection method, device, equipment and storage medium | |
| US20200413365A1 (en) | Radiation source positioning method based on radio spectrum monitoring big data processing | |
| CN112203293A (en) | Cell over-coverage identification method, device, equipment and computer storage medium | |
| US20140228058A1 (en) | System for estimating position of base station and method of estimating position of base station by the same | |
| CN103596265B (en) | A kind of multi-user's indoor orientation method based on sound ranging and motion-vector | |
| CN103945526A (en) | Wireless equipment positioning method and system based on induced detection technology | |
| CN103167605B (en) | A kind of WiFi outdoor positioning method that satellite auxiliary signal coverage diagram is set up/upgraded | |
| CN103404177A (en) | Nodes and methods for positioning | |
| CN108020854B (en) | Scene target situation display method and system | |
| EP2941651A2 (en) | Deriving broadband communication system service area coverage for signal leakage detection | |
| JP2016520801A (en) | Transmitter directional pruning to improve position determination | |
| KR20220124265A (en) | Method for locating signal sources in wireless networks | |
| CN102761960A (en) | Method and device for positioning mobile terminal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |