CN107016872A - Quickly generate method, medium and the system of Traffic Announcement traffic information Press release - Google Patents

Quickly generate method, medium and the system of Traffic Announcement traffic information Press release Download PDF

Info

Publication number
CN107016872A
CN107016872A CN201710368251.9A CN201710368251A CN107016872A CN 107016872 A CN107016872 A CN 107016872A CN 201710368251 A CN201710368251 A CN 201710368251A CN 107016872 A CN107016872 A CN 107016872A
Authority
CN
China
Prior art keywords
test point
congestion
data
traffic information
real
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201710368251.9A
Other languages
Chinese (zh)
Other versions
CN107016872B (en
Inventor
姜廷顺
李萌
陆建
陆化普
李正熙
王家捷
梁子君
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Anhui Keli Information Industry Co Ltd
Original Assignee
Anhui Keli Information Industry Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Anhui Keli Information Industry Co Ltd filed Critical Anhui Keli Information Industry Co Ltd
Priority to CN201710368251.9A priority Critical patent/CN107016872B/en
Publication of CN107016872A publication Critical patent/CN107016872A/en
Application granted granted Critical
Publication of CN107016872B publication Critical patent/CN107016872B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968Systems involving transmission of navigation instructions to the vehicle
    • G08G1/0969Systems involving transmission of navigation instructions to the vehicle having a display in the form of a map
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3446Details of route searching algorithms, e.g. Dijkstra, A*, arc-flags, using precalculated routes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/36Input/output arrangements for on-board computers
    • G01C21/3626Details of the output of route guidance instructions
    • G01C21/3647Guidance involving output of stored or live camera images or video streams

Landscapes

  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Automation & Control Theory (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Traffic Control Systems (AREA)

Abstract

The present invention provides a kind of method for quickly generating Traffic Announcement traffic information Press release, storage medium and system, test point is marked on the electronic map in region for needing issuing traffic broadcast, for each test point, the real-time road that various real-time road data obtain test point is merged.Whether be congestion source, if it is congestion source, the video monitoring equipment shooting image at the position of congestion source is transferred immediately if judging test point.The position of congestion test point, congestion source image information and congestion queue length are recorded to the traffic information Press release prestored, time, the address of congestion source place test point, congestion queue length and the congestion origin cause of formation according to the determination of congestion source image information that road conditions ewscaster is formed to traffic information are issued.Comprehensively whole traffic informations that regulation will be issued in the range of Traffic Information are precisely issued, when especially there is congestion, the reason for immediately can forming congestion source position and congestion source is distributed to traveler in time.

Description

Quickly generate method, medium and the system of Traffic Announcement traffic information Press release
Technical field
Field is induced the present invention relates to road traffic, specifically a kind of Traffic Announcement traffic information Press release of quickly generating Method, storage medium and system.
Background technology
Traveler obtains current traffic information as most convenient most timely approach by Traffic Announcement.Current Traffic Announcement The traffic information of report is random stronger, and road conditions ewscaster is with the experience of oneself, by being distributed in regarding on whole city's road Frequency image is maked an inspection tour or the part traffic information of road surface driver feedback is issued, it is thus impossible to comprehensively will to regulation Whole traffic informations in the range of issue Traffic Information are precisely issued, when especially there is congestion, it is impossible to by congestion The reason for source position and congestion source are formed and congestion queue length are distributed to traveler problem in time.
The content of the invention
The present invention provides a kind of method for quickly generating Traffic Announcement traffic information Press release, storage medium and system, purport Congestion source, the congestion origin cause of formation are being found in time, and it is being released by the form of Traffic Announcement.
Therefore, the present invention provides a kind of method for quickly generating Traffic Announcement traffic information Press release, comprise the following steps:
On the electronic map determine need broadcast traffic information region, it is determined that region in all crossings import and export Mark test point between position and crossing, the distance between two neighboring test point is in the range of given threshold, each test point Specific numbering is provided with, and the ID of the numbering video monitoring equipment corresponding with test point position of each test point is compiled Number association;
The real-time road condition information of each test point is obtained, real-time road data are divided into heavy congestion, congestion, slow, smooth Logical four classes, classification results are marked on the test point corresponding onto electronic map;
For each test point, the road condition data close to test point determines the detection according to its road condition data and downstream Whether point is congestion source;
After test point is judged as congestion source, the monitoring for the video monitoring equipment for transferring association is numbered according to test point The congestion source image information arrived;It is unimpeded test point to gathering around to obtain congestion source upstream and the closest road conditions in congestion source The distance in stifled source is used as congestion queue length;
The position of the congestion test point, congestion source image information and the congestion are queued up into record to prestoring Form traffic information in traffic information Press release, for road conditions ewscaster according to the traffic information of traffic information Press release formed when Between, the address of test point where congestion source, congestion queue length and the congestion origin cause of formation determined according to congestion source image information Issued.
Alternatively, in the above-mentioned method for quickly generating Traffic Announcement traffic information Press release, also comprise the following steps:
The length queued up according to the Vehicle Speed in the range of congested link and congestion, calculates automatic by congested link Required transit time, the transit time is recorded into the traffic information Press release.
Alternatively, in the above-mentioned method for quickly generating Traffic Announcement traffic information Press release, each test point is obtained Real-time road data are divided into heavy congestion, congestion, slow, unimpeded four class by real-time road condition information, by classification results mark to electricity On sub- map on corresponding test point, following steps are specifically included:
Position and the speed data for all mobile phones being located in the region are obtained in real time, by the position of each mobile phone and speed Degrees of data is associated into the electronic map in corresponding geographical position coordinates, according to all in each test point detection range The average translational speed of mobile phone, obtains the first real-time road data of the test point;
At least three groups road conditions cloud data are read by internet, each inspection is determined according at least three groups road conditions cloud data Real-time road data in the corresponding geographical position coordinates of measuring point, obtain the second real-time road data of test point;
Merge the first real-time road data and the second real-time road data obtain the road conditions number of each test point According to real-time road data being divided into heavy congestion, congestion, slow, unimpeded four class, by classification results mark to institute on electronic map On corresponding test point.
Alternatively, in the above-mentioned method for quickly generating Traffic Announcement traffic information Press release, mobile data is obtained The position for all mobile phones in the region that center is sent and speed data, the position of each mobile phone is associated with speed data Into the electronic map in corresponding geographical position coordinates, according to the movement of all mobile phones in each test point coverage Speed, obtains the road condition data of test point as the first real-time road data, specifically includes:
Detection range is configured for each test point, and the starting point of the detection range is the test point and upstream close to detection The point midway of point, the terminal of the detection range is the point midway of the test point and downstream close to test point;
For each test point, if not finding position and the speed data of mobile phone in its detection range, directly will The road condition data of the test point is labeled as unimpeded, otherwise obtains the translational speed V of each mobile phone in its detection rangea, wherein 1≤ A≤A, A are the mobile phone sum in the test point detection range, and the speed data of the test point is calculated according to below equation:
If the ratio of the speed data of test point and the Maximum speed limit value in section where it is more than or equal to first threshold, The road condition data of the test point is labeled as unimpeded;
If it is same that the ratio of the speed data of test point and the Maximum speed limit value in section where it is more than or equal to Second Threshold When be less than first threshold, then the road condition data of the test point be labeled as slowly;
If it is same that the ratio of the speed data of test point and the Maximum speed limit value in section where it is more than or equal to the 3rd threshold value When be less than Second Threshold, then the road condition data of the test point be labeled as congestion;
If the ratio of the speed data of test point and the Maximum speed limit value in section where it is less than the 3rd threshold value, the detection The road condition data of point is labeled as heavy congestion.
Alternatively, in the above-mentioned method for quickly generating Traffic Announcement traffic information Press release, for each test point, root The road condition data close to test point is determined in the step of whether test point is congestion source according to its road condition data and downstream, Specifically include:
If heavy congestion is labeled as on test point and downstream close to test point on be not heavy congestion, the test point is true It is set to congestion source;
If congestion is labeled as on test point and downstream close to test point on be not heavy congestion or congestion, the test point It is defined as congestion source;
If be labeled as on test point slow and downstream close to test point on be not heavy congestion or congestion or slow, should Test point is defined as congestion source.
The present invention also provides a kind of storage medium, and the storage medium stores computer instruction, when computer execution is described During computer instruction, require to quickly generate Traffic Announcement traffic information Press release any one of 1-5 for perform claim Method.
The present invention also provides a kind of system for quickly generating Traffic Announcement traffic information Press release, including:
At least one processor;And,
The memory being connected with least one described processor communication;Wherein,
The memory storage has can be by the instruction of one computing device, and the instruction is by described at least one Manage device to perform, so that at least one described processor can:
On the electronic map determine need broadcast traffic information region, it is determined that region in all crossings import and export Mark test point between position and crossing, the distance between two neighboring test point is in the range of given threshold, each test point Specific numbering is provided with, and the ID of the numbering video monitoring equipment corresponding with test point position of each test point is compiled Number association;
The real-time road condition information of each test point is obtained, real-time road data are divided into heavy congestion, congestion, slow, smooth Logical four classes, classification results are marked on the test point corresponding onto electronic map;
For each test point, the road condition data close to test point determines the detection according to its road condition data and downstream Whether point is congestion source;
After test point is judged as congestion source, the monitoring for the video monitoring equipment for transferring association is numbered according to test point The congestion source image information arrived;It is unimpeded test point to gathering around to obtain congestion source upstream and the closest road conditions in congestion source The distance in stifled source is used as congestion queue length;
The position of the congestion test point, congestion source image information and the congestion queue length are recorded to pre- Traffic information is formed in the traffic information Press release deposited, is formed for road conditions ewscaster according to the traffic information of traffic information Press release Time, the address of test point where congestion source, congestion queue length and the congestion determined according to congestion source image information The origin cause of formation is issued.
The above-mentioned technical proposal that the present invention is provided compared with prior art, at least has the advantages that:
The present invention provides a kind of method for quickly generating Traffic Announcement traffic information Press release, storage medium and system, Test point is marked on the electronic map for needing the region that issuing traffic broadcasts, and the distance between two neighboring test point is in setting threshold In the range of value, each test point is provided with specific numbering, and the numbering of each test point is corresponding with test point position Video monitoring equipment ID numbering association.For each test point, the reality that various real-time road data obtain test point is merged Shi Lukuang.Whether be congestion source, if it is congestion source, just transfer immediately at the position of congestion source if judging test point Video monitoring equipment shooting image, and immediately by the position of congestion test point, congestion source image information and congestion queue length Record forms traffic information into the traffic information Press release prestored, for road conditions of the road conditions ewscaster according to traffic information Press release Information formation time, the address of congestion source test point, congestion queue length and according to congestion source image information determine The congestion origin cause of formation is issued.Comprehensively whole traffic informations that regulation will be issued in the range of Traffic Information are entered so as to realize Row precisely issue, when especially there is congestion, the reason for immediately can forming congestion source position and congestion source is issued in time Give traveler problem.
Brief description of the drawings
In order that present disclosure is more likely to be clearly understood, below in conjunction with the accompanying drawings, further detailed is made to the present invention Thin explanation, wherein,
Fig. 1 is the flow for the method that Traffic Announcement traffic information Press release is quickly generated described in one embodiment of the invention Figure;
Fig. 2 is the interface schematic diagram of mark test point in urban parts scope road described in one embodiment of the invention;
Fig. 3 be judge described in one embodiment of the invention test point whether be congestion source method flow diagram;
Fig. 4 is the principle frame for the system that Traffic Announcement traffic information Press release is quickly generated described in one embodiment of the invention Figure.
Embodiment
Technical scheme is clearly and completely described below in conjunction with accompanying drawing, it is clear that described implementation Example is a part of embodiment of the invention, rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill The every other embodiment that personnel are obtained under the premise of creative work is not made, belongs to the scope of protection of the invention. As long as and technical characteristic involved in invention described below different embodiments does not constitute conflict just each other It can be combined with each other.
Embodiment 1
The present embodiment provides a kind of method for quickly generating Traffic Announcement traffic information Press release, as shown in figure 1, including such as Lower step:
S1:Determine the region for needing to broadcast traffic information on the electronic map, it is determined that region in all crossings enter Mark test point between outlet port and crossing, the distance between two neighboring test point is in the range of given threshold, Mei Yijian Measuring point is provided with specific numbering, and the numbering video monitoring equipment corresponding with test point position of each test point ID numbering associations.As shown in Fig. 2 it is preferred that the import and export position and adjacent road at all crossings of urban road on the electronic map Test point is marked between mouthful, if through street length is more than pre-determined distance, test point is marked on through street;If ordinary road When crossing spacing is more than pre-determined distance, then test point is marked between crossing, these test points are all marked on electronic map simultaneously It is numbered.The actual range between test point, two adjacent test points, which is marked, in electronic map may be set in 50 meters to 150 Between rice.Arrow represents travel direction in figure, for electronic map, itself records the coordinate in geographical position, therefore As long as on the mark of relevant position test point, it is known that the geographical position coordinates of test point are just to determine.Each test point institute , can be corresponding with the ID numberings of video monitoring equipment by test point numbering to that there should be video monitoring equipment in position, so when need When being monitored to the traffic conditions of test point, the video of correspondence ID numberings just can be directly transferred by the numbering of test point Monitoring device carries out captured in real-time.
S2:Obtain the real-time road condition information of each test point, by real-time road data be divided into heavy congestion, congestion, it is slow, Unimpeded four class, classification results is marked on the test point corresponding onto electronic map.Real-time road data can for peony, Red, yellow and green, heavy congestion is represented using peony, congestion is represented using red, using yellow represent slowly, use Green represents unimpeded, and real-time road data can also include the road conditions of geographical position coordinates and geographical position coordinates, when reading , directly will be associated with the geographical position coordinates on electronic map by it after the road condition data of a certain test point.
S3:For each test point, close to the road condition data of test point, determine should according to its road condition data and downstream Whether test point is congestion source;
S4:After test point is judged as congestion source, the video monitoring equipment of association is transferred according to test point numbering The congestion source image information monitored;It is unimpeded test point that congestion source upstream, which is obtained, with the closest road conditions in congestion source Distance to congestion source is used as congestion queue length;
S5:By the position of the congestion test point, congestion source image information and the congestion queue length record Traffic information is formed into the traffic information Press release prestored, for traffic information of the road conditions ewscaster according to traffic information Press release The address of test point, congestion queue length where time of formation, congestion source and determined according to congestion source image information The congestion origin cause of formation is issued.For traffic information Press release, its form can be setting value, when implementing, to each number According to the specific flag bit of setting or using specific host-host protocol so that system after receiving the data can be according to setting Setting position of the form by data storage into traffic information Press release, this process can be conciliate using existing data encoding Code mode is realized, because it is not the present application point place, is not described in detail herein.And announcer exists
In such scheme, test point, two neighboring inspection are marked on the electronic map in region for needing issuing traffic broadcast The distance between measuring point is in the range of given threshold, and each test point is provided with specific numbering, and the numbering of each test point The ID numbering associations of video monitoring equipment corresponding with test point position.For each test point, merge various real-time Road condition data obtains the real-time road of test point.Whether be congestion source, if it is congestion source, just adjust immediately if judging test point The video monitoring equipment shooting image at the position of congestion source is taken, and immediately by the position of congestion test point, congestion source Image information and congestion queue length are recorded forms traffic information into the traffic information Press release prestored, for road conditions ewscaster's root According to time, the address of congestion source test point, congestion queue length and the foundation of the traffic information formation of traffic information Press release The congestion origin cause of formation that congestion source image information is determined is issued.Traffic Information comprehensively will be issued to regulation so as to realize In the range of whole traffic informations precisely issued, can be immediately by congestion source position and congestion when especially there is congestion The reason for source is formed is distributed to traveler problem in time.
Further, it can also comprise the following steps in the above method:
S6:The length queued up according to the Vehicle Speed in the range of congested link and congestion, calculates and passes through congested link Transit time required for automatic, the transit time is recorded into the traffic information Press release.
When obtaining Vehicle Speed, it can be carried out according to the actual road condition data of each test point.Because every When one test point obtains road condition data, determined according to car speed.For example, when being defined as heavy congestion, it is red It is due to that the corresponding Vehicle Speed of the test point is less than the 20% of this section Maximum speed limit value, therefore completely may be used during color To be reversely pushed out the speed location of test point according to the road condition data of each test point, so as to according to each test point Vehicle speed range calculate time required for current congested link.
Embodiment 2
In the present embodiment, the real-time road condition information of each test point is obtained, real-time road data are divided into heavy congestion, gathered around Stifled, slow, unimpeded four class, classification results is marked in the step on the test point corresponding onto electronic map, by following Mode obtains the real-time road condition information of test point:
S21:Position and the speed data for all mobile phones being located in the region are obtained in real time, by the position of each mobile phone Associated with speed data into the electronic map in corresponding geographical position coordinates, according in each test point detection range The average translational speed of all mobile phones, obtains the first real-time road data of the test point;Because record lands on electronic map Location coordinate information is managed, directly the location coordinate information of the location coordinate information of mobile phone and electronic map can be compared, will The position of mobile phone and velocity information mark arrive the corresponding position of electronic map.So as to obtain current location and the shifting of mobile phone Dynamic speed.Existing mobile phone is respectively provided with localization function module, and in real time sends own location information to mobile data Center, such as existing LBS (Location Based Service, location Based service), pass through telecommunications mobile operator's Radio communication network (such as GSM nets, CDMA nets) or outside positioning method (such as GPS) obtain cellphone subscriber positional information ( Manage coordinate, or geodetic coordinates), in the branch of GIS (Geographic Information System, GIS-Geographic Information System) platform Hold down, provide the user respective service.Therefore, can directly from mobile data center obtain each mobile phone particular location and Velocity information.In the present embodiment, obtain after mobile phone location and speed data, the first reality of test point is obtained by following steps When road condition data.
S211:Detection range is configured for each test point, the starting point of the detection range is that the test point and upstream are tight The point midway of adjacent test point, the terminal of the detection range is the point midway of the test point and downstream close to test point;Such as Really a certain test point upstream is without other test points, then with own as starting point, similarly, if a certain test point downstream is without it His test point, then with own as terminal.
S212:For each test point, if not finding position and the speed data of mobile phone in its detection range, directly Connect and be labeled as the road condition data of the test point unimpeded, otherwise obtain the translational speed V of each mobile phone in its detection rangea, its In 1≤a≤A, A be the test point detection range in mobile phone sum, the speed data of the test point is calculated according to below equation:If that is, there is no mobile phone in the detection range of test point, directly assert the test point detection range Interior without vehicle, vehicle can be travelled according to Maximum speed limit, then road condition data is unimpeded, is directly represented with green.
S213:If the ratio of the speed data of test point and the Maximum speed limit value in section where it is more than or equal to the first threshold Value, then the road condition data of the test point is labeled as unimpeded;If the speed data of test point and the Maximum speed limit value in section where it Ratio be more than or equal to Second Threshold simultaneously less than first threshold, then the road condition data of the test point is labeled as slowly;If inspection The ratio of the speed data of measuring point and the Maximum speed limit value in section where it is more than or equal to the 3rd threshold value simultaneously less than the second threshold Value, then the road condition data of the test point is labeled as congestion;If the speed data of test point and the Maximum speed limit value in section where it Ratio be less than the 3rd threshold value, then the road condition data of the test point be labeled as heavy congestion.More than, the first threshold, second Threshold value and the 3rd threshold value can voluntarily be set according to actual conditions, and such as first threshold selection is 0.6, and Second Threshold selection is 0.4, the selection of the 3rd threshold value is 0.2.
S22:At least three groups road conditions cloud data are read by internet, determined according at least three groups road conditions cloud data every Real-time road data in the corresponding geographical position coordinates of one test point, obtain the second real-time road data of test point;Specifically Ground, existing many government departments by traffic information data publication to internet, these data also all can with Free Acquisition, This step can directly read corresponding road condition data from internet, in practical application, the flat of multi-group data can be asked for Equal road conditions, or which road conditions the road condition data of test point is at most most labeled as according to the group number for characterizing which road condition data Principle is obtained.
S23:Merge the first real-time road data and the second real-time road data obtain the road of each test point Real-time road data are divided into heavy congestion, congestion, slow, unimpeded four class by condition data, and classification results mark is arrived into electronic map On upper corresponding test point.
The real-time road data that test point is obtained by way of a variety of data are merged are more accurate, can avoid adopting The larger situation of the road condition data error that is obtained with single channel occurs.
Embodiment 3
In the present embodiment, for each test point, according to its road condition data and downstream close to the road conditions number of test point According to the step of whether test point is congestion source determined, it can be realized by the method shown in Fig. 3:
S31:Judge on the test point of a certain numbering whether be peony, if then performing step S32, otherwise perform step S33;
S32:Judge the numbering test point downstream close to test point on whether be peony, if otherwise perform step S37, If then return to step S2;
S33:Judge on the numbering test point whether be red, if then performing step S34, otherwise perform step S35;
S34:Judge the numbering test point downstream close to test point on whether be peony or red, if otherwise performing step Rapid S37, if then return to step S2;
S35:Judge on the numbering test point whether be yellow, if then performing step S36, otherwise return to step S2;
S36:Judge the numbering test point downstream close to test point on whether be peony or red or yellow, if otherwise Step S37 is performed, if then return to step S2;
S37:It is congestion source to determine the numbering test point.
Above peony represents heavy congestion, and red represents congestion, and yellow represents slow, and green represents unimpeded.Namely Say, if a certain test point be peony, but downstream close to test point be not peony then the test point be congestion source Head.If a certain test point is red, but downstream close to test point be not peony nor red, then the test point For congestion source.If a certain test point is yellow, but test point is not peony nor red nor yellow downstream Color, then the test point is congestion source.Can quickly and easily it be obtained very much corresponding to congestion source using the judgment mode Test point, and can be according to where the corresponding relation of test point and geographical position coordinates determines congestion source particular location, be The quick congestion source that eliminates provides guarantee.
The method of effective alleviation urban traffic blocking in the present embodiment, also comprises the following steps after step s 3:
S31:For each congestion source test point, according to its road condition data and downstream close to test point road condition data meter Calculate the coefficient that is obstructed in the congestion source;
Correspondingly, in step s 5, the coefficient that is obstructed in congestion source is associated with the numbering of congestion source test point latter With the mobile terminal of transmission to police on duty.Wherein, coefficient calculating process of being obstructed is specifically included, and each test point turns into congestion source The moment of head, the coefficient initial value that is obstructed is zero;In each predetermined period, each congestion source is obstructed in accordance with the following steps Coefficient is updated:
S311:Whether be peony, if then performing step S312, otherwise perform step S314 if judging congestion source.
S312:Judge downstream close to test point whether be green, if then being obstructed for the congestion source is under current time Number plus the first numerical value * predetermined period values, the predetermined period refer in seconds, for example, select for 1 second, 2 seconds etc., if otherwise holding Row step S313, first numerical value can be selected according to actual conditions, and selection is 1.5 in the present embodiment.
S313:Judge downstream close to test point whether be yellow, if then being obstructed for the congestion source is under current time Number plus second value * predetermined period values;The second value can be selected according to actual conditions, and selection is in the present embodiment 1;Otherwise under current time the congestion source be obstructed coefficient plus third value * predetermined period values, the third value can root Selected according to actual conditions, selection is 0.5 in the present embodiment.
S314:Whether be red, if then performing step S315, otherwise perform step S316 if judging congestion source.
S315:Judge downstream close to test point whether be green, if then being obstructed for the congestion source is under current time Number plus second value * predetermined period values, otherwise perform step S316.
S316:Be obstructed coefficient plus the third value * predetermined period values in the congestion source under current time.
S317:The coefficient that is obstructed that the congestion source of green will be changed into each second in region is reset.
For the test point as congestion source, according to the road conditions of the close test point in direction downstream and its road conditions Between difference determine the coefficient that is obstructed in the congestion source.If downstream close to road conditions and the congestion source of test point Road conditions gap is bigger, illustrates that the congestion source is larger for the resistance in downstream, therefore the coefficient that is obstructed should be bigger.For example, a certain Congestion source is peony, and situation and downstream direction close inspection of the close test point of downstream direction for green Measuring point is red situation, and the former coefficient that is obstructed is greater than the latter.
Embodiment 4
The present embodiment provides a kind of storage medium, and the storage medium stores computer instruction, when computer execution is described During computer instruction, Traffic Announcement traffic information Press release is quickly generated any one of embodiment 1-3 for performing Method.
Embodiment 5
The present embodiment provides a kind of system for quickly generating Traffic Announcement traffic information Press release, as shown in figure 4, including:
At least one processor 1;And,
The memory 2 being connected with least one described processor communication;Wherein,
The memory 2 is stored with the instruction that can be performed by one processor 1, the instruction by it is described at least one Processor 1 is performed, so that at least one described processor 1 can:
On the electronic map determine need broadcast traffic information region, it is determined that region in all crossings import and export Mark test point between position and crossing, the distance between two neighboring test point is in the range of given threshold, each test point Specific numbering is provided with, and the ID of the numbering video monitoring equipment corresponding with test point position of each test point is compiled Number association;
The real-time road condition information of each test point is obtained, real-time road data are divided into heavy congestion, congestion, slow, smooth Logical four classes, classification results are marked on the test point corresponding onto electronic map;
For each test point, the road condition data close to test point determines the detection according to its road condition data and downstream Whether point is congestion source;
After test point is judged as congestion source, the monitoring for the video monitoring equipment for transferring association is numbered according to test point The congestion source image information arrived;It is unimpeded test point to gathering around to obtain congestion source upstream and the closest road conditions in congestion source The distance in stifled source is used as congestion queue length;
The position of the congestion test point, congestion source image information and the congestion queue length are recorded to pre- Traffic information is formed in the traffic information Press release deposited, is formed for road conditions ewscaster according to the traffic information of traffic information Press release Time, the address of test point where congestion source, congestion queue length and the congestion determined according to congestion source image information The origin cause of formation is issued.
Embodiment 6
The present embodiment offer is a kind of to quickly generate the system of Traffic Announcement traffic information Press release, including is arranged at traffic pipe Manage the control device in the control device and Traffic Announcement publishing center of control centre.Wherein:
The control device of the Traffic management control centre is configured as:
On the electronic map determine need broadcast traffic information region, it is determined that region in all crossings import and export Mark test point between position and crossing, the distance between two neighboring test point is in the range of given threshold, each test point Specific numbering is provided with, and the ID of the numbering video monitoring equipment corresponding with test point position of each test point is compiled Number association;
The real-time road condition information of each test point is obtained, real-time road data are divided into heavy congestion, congestion, slow, smooth Logical four classes, classification results are marked on the test point corresponding onto electronic map;
For each test point, the road condition data close to test point determines the detection according to its road condition data and downstream Whether point is congestion source;
After test point is judged as congestion source, the monitoring for the video monitoring equipment for transferring association is numbered according to test point The congestion source image information arrived;It is unimpeded test point to gathering around to obtain congestion source upstream and the closest road conditions in congestion source The distance in stifled source is used as congestion queue length;
The control device of Traffic management control centre is by the position of the congestion test point, congestion source image information Sent with the congestion queue length to the control device in traffic broadcast distribution center.
Control device in Traffic Announcement publishing center, is configured as:
Position, congestion source image information and the congestion queue length of congestion test point are received, and is recorded extremely Traffic information is formed in the traffic information Press release prestored, for traffic information shape of the road conditions ewscaster according to traffic information Press release Into time, the address of test point where congestion source, congestion queue length and according to gathering around that congestion source image information is determined The stifled origin cause of formation is issued.
In such scheme, test point, two neighboring inspection are marked on the electronic map in region for needing issuing traffic broadcast The distance between measuring point is in the range of given threshold, and each test point is provided with specific numbering, and the numbering of each test point The ID numbering associations of video monitoring equipment corresponding with test point position.For each test point, merge various real-time Road condition data obtains the real-time road of test point.Whether be congestion source, if it is congestion source, just adjust immediately if judging test point The video monitoring equipment shooting image at the position of congestion source is taken, and immediately by the position of congestion test point, congestion source Image information and congestion queue length are recorded forms traffic information into the traffic information Press release prestored, for road conditions ewscaster's root According to time, the address of congestion source test point, congestion queue length and the foundation of the traffic information formation of traffic information Press release The congestion origin cause of formation that congestion source image information is determined is issued.Traffic Information comprehensively will be issued to regulation so as to realize In the range of whole traffic informations precisely issued, can be immediately by congestion source position and congestion when especially there is congestion The reason for source is formed is distributed to traveler problem in time.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or computer program Product.Therefore, the present invention can be using the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware Apply the form of example.Moreover, the present invention can be used in one or more computers for wherein including computer usable program code The computer program production that usable storage medium is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.) The form of product.
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product Figure and/or block diagram are described.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided The processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which is produced, to be included referring to Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one The step of function of being specified in individual square frame or multiple square frames.
Obviously, above-described embodiment is only intended to clearly illustrate example, and the not restriction to embodiment.It is right For those of ordinary skill in the art, can also make on the basis of the above description it is other it is various forms of change or Change.There is no necessity and possibility to exhaust all the enbodiments.And the obvious change thus extended out or Among changing still in the protection domain of the invention.

Claims (7)

1. a kind of method for quickly generating Traffic Announcement traffic information Press release, it is characterised in that comprise the following steps:
On the electronic map determine need broadcast traffic information region, it is determined that region in all crossings import and export position Mark test point between crossing, the distance between two neighboring test point is in the range of given threshold, and each test point is set There is specific numbering, and the ID numberings of the numbering video monitoring equipment corresponding with test point position of each test point are closed Connection;
The real-time road condition information of each test point is obtained, real-time road data are divided into heavy congestion, congestion, slow, unimpeded four Class, classification results is marked on the test point corresponding onto electronic map;
For each test point, the road condition data close to test point determines that the test point is according to its road condition data and downstream No is congestion source;
When test point is judged as congestion source after, monitoring for the video monitoring equipment of transferring association is numbered according to test point Congestion source image information;It is unimpeded test point to congestion source that congestion source upstream, which is obtained, with the closest road conditions in congestion source The distance of head is used as congestion queue length;
The position of the congestion test point, congestion source image information and the congestion queue length are recorded to prestoring Form traffic information in traffic information Press release, for road conditions ewscaster according to the traffic information of traffic information Press release formed when Between, the address of test point where congestion source, congestion queue length and the congestion origin cause of formation determined according to congestion source image information Issued.
2. the method according to claim 1 for quickly generating Traffic Announcement traffic information Press release, it is characterised in that also wrap Include following steps:
The length queued up according to the Vehicle Speed in the range of congested link and congestion, calculates automatically required by congested link The transit time wanted, the transit time is recorded into the traffic information Press release.
3. the method according to claim 1 for quickly generating Traffic Announcement traffic information Press release, it is characterised in that obtain Real-time road data are divided into heavy congestion, congestion, slow, unimpeded four class, will classified by the real-time road condition information of each test point As a result mark on test point corresponding on electronic map, specifically include following steps:
Position and the speed data for all mobile phones being located in the region are obtained in real time, by the position of each mobile phone and number of speed According to association into the electronic map in corresponding geographical position coordinates, according to all mobile phones in each test point detection range Average translational speed, obtain the first real-time road data of the test point;
At least three groups road conditions cloud data are read by internet, each test point is determined according at least three groups road conditions cloud data Real-time road data in corresponding geographical position coordinates, obtain the second real-time road data of test point;
Merge the first real-time road data and the second real-time road data obtain the road condition data of each test point, will Real-time road data are divided into heavy congestion, congestion, slow, unimpeded four class, will be corresponding on classification results mark to electronic map Test point on.
4. the method according to claim 3 for quickly generating Traffic Announcement traffic information Press release, it is characterised in that obtain The position for all mobile phones in the region that mobile data center is sent and speed data, by the position of each mobile phone and Speed data is associated into the electronic map in corresponding geographical position coordinates, according to the institute in each test point coverage There is the translational speed of mobile phone, obtain the road condition data of test point as the first real-time road data, specifically include:
Detection range is configured for each test point, and the starting point of the detection range is the test point and upstream close to test point Point midway, the terminal of the detection range is the point midway of the test point and downstream close to test point;
For each test point, if not finding position and the speed data of mobile phone in its detection range, directly this is examined The road condition data of measuring point is labeled as unimpeded, otherwise obtains the translational speed V of each mobile phone in its detection rangea, wherein 1≤a≤ A, A are the mobile phone sum in the test point detection range, and the speed data of the test point is calculated according to below equation:
If the ratio of the speed data of test point and the Maximum speed limit value in section where it is more than or equal to first threshold, the inspection The road condition data of measuring point is labeled as unimpeded;
If it is simultaneously small that the ratio of the speed data of test point and the Maximum speed limit value in section where it is more than or equal to Second Threshold In first threshold, then the road condition data of the test point is labeled as slowly;
If it is simultaneously small that the ratio of the speed data of test point and the Maximum speed limit value in section where it is more than or equal to the 3rd threshold value In Second Threshold, then the road condition data of the test point is labeled as congestion;
If the ratio of the speed data of test point and the Maximum speed limit value in section where it is less than the 3rd threshold value, the test point Road condition data is labeled as heavy congestion.
5. the method for quickly generating Traffic Announcement traffic information Press release according to claim any one of 1-4, its feature It is, for each test point, the road condition data close to test point determines the test point according to its road condition data and downstream In the step of whether being congestion source, specifically include:
If heavy congestion is labeled as on test point and downstream close to test point on be not heavy congestion, the test point is defined as Congestion source;
If congestion is labeled as on test point and downstream close to test point on be not heavy congestion or congestion, the test point is determined For congestion source;
If be labeled as on test point slow and downstream close to test point on be not heavy congestion or congestion or slow, the detection Point is defined as congestion source.
6. a kind of storage medium, it is characterised in that the storage medium stores computer instruction, when computer performs described calculate When machine is instructed, the side for quickly generating Traffic Announcement traffic information Press release any one of 1-5 is required for perform claim Method.
7. a kind of system for quickly generating Traffic Announcement traffic information Press release, it is characterised in that including:
At least one processor;And,
The memory being connected with least one described processor communication;Wherein,
The memory storage has can be by the instruction of one computing device, and the instruction is by least one described processor Perform, so that at least one described processor can:
On the electronic map determine need broadcast traffic information region, it is determined that region in all crossings import and export position Mark test point between crossing, the distance between two neighboring test point is in the range of given threshold, and each test point is set There is specific numbering, and the ID numberings of the numbering video monitoring equipment corresponding with test point position of each test point are closed Connection;
The real-time road condition information of each test point is obtained, real-time road data are divided into heavy congestion, congestion, slow, unimpeded four Class, classification results is marked on the test point corresponding onto electronic map;
For each test point, the road condition data close to test point determines that the test point is according to its road condition data and downstream No is congestion source;
When test point is judged as congestion source after, monitoring for the video monitoring equipment of transferring association is numbered according to test point Congestion source image information;It is unimpeded test point to congestion source that congestion source upstream, which is obtained, with the closest road conditions in congestion source The distance of head is used as congestion queue length;
The position of the congestion test point, congestion source image information and the congestion queue length are recorded to prestoring Form traffic information in traffic information Press release, for road conditions ewscaster according to the traffic information of traffic information Press release formed when Between, the address of test point where congestion source, congestion queue length and the congestion origin cause of formation determined according to congestion source image information Issued.
CN201710368251.9A 2017-05-23 2017-05-23 Method, medium and system for quickly generating traffic broadcast road condition information release draft Active CN107016872B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710368251.9A CN107016872B (en) 2017-05-23 2017-05-23 Method, medium and system for quickly generating traffic broadcast road condition information release draft

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710368251.9A CN107016872B (en) 2017-05-23 2017-05-23 Method, medium and system for quickly generating traffic broadcast road condition information release draft

Publications (2)

Publication Number Publication Date
CN107016872A true CN107016872A (en) 2017-08-04
CN107016872B CN107016872B (en) 2020-07-14

Family

ID=59451363

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710368251.9A Active CN107016872B (en) 2017-05-23 2017-05-23 Method, medium and system for quickly generating traffic broadcast road condition information release draft

Country Status (1)

Country Link
CN (1) CN107016872B (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108088458A (en) * 2018-01-12 2018-05-29 山东高速信息工程有限公司 Based on image highway navigation road conditions show method, apparatus, storage medium
CN108510740A (en) * 2018-05-04 2018-09-07 百度在线网络技术(北京)有限公司 Report the method for digging and device of road conditions by mistake
CN111750892A (en) * 2019-03-26 2020-10-09 阿里巴巴集团控股有限公司 Electronic map display method and device, medium and terminal
CN111798660A (en) * 2020-06-30 2020-10-20 腾讯科技(深圳)有限公司 Vehicle information display and acquisition method and device and related equipment
CN111815941A (en) * 2019-04-10 2020-10-23 青岛海信网络科技股份有限公司 Frequent congestion bottleneck identification method and device based on historical road conditions
CN112927540A (en) * 2021-01-21 2021-06-08 董龙鑫 Data sensing sharing system and method based on block chain

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101840634A (en) * 2010-03-26 2010-09-22 北京创毅视讯科技有限公司 Urban real-time road condition interactive system, device and method based on internet of things
US20130242104A1 (en) * 2012-03-16 2013-09-19 Hon Hai Precision Industry Co., Ltd. Traffic monitoring system and method for monitoring roadway condition
CN103903465A (en) * 2014-04-17 2014-07-02 姜廷顺 Method and system for releasing reason for road congestion in real time
CN103927868A (en) * 2014-04-24 2014-07-16 姜廷顺 Method and system for finding out reasons for local traffic congestion
CN106205114A (en) * 2016-07-22 2016-12-07 中国科学院软件研究所 A kind of Freeway Conditions information real time acquiring method based on data fusion
CN106504539A (en) * 2017-01-04 2017-03-15 安徽科力信息产业有限责任公司 A kind of method and system of quick determination highway congestion source position

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101840634A (en) * 2010-03-26 2010-09-22 北京创毅视讯科技有限公司 Urban real-time road condition interactive system, device and method based on internet of things
US20130242104A1 (en) * 2012-03-16 2013-09-19 Hon Hai Precision Industry Co., Ltd. Traffic monitoring system and method for monitoring roadway condition
CN103903465A (en) * 2014-04-17 2014-07-02 姜廷顺 Method and system for releasing reason for road congestion in real time
CN103927868A (en) * 2014-04-24 2014-07-16 姜廷顺 Method and system for finding out reasons for local traffic congestion
CN106205114A (en) * 2016-07-22 2016-12-07 中国科学院软件研究所 A kind of Freeway Conditions information real time acquiring method based on data fusion
CN106504539A (en) * 2017-01-04 2017-03-15 安徽科力信息产业有限责任公司 A kind of method and system of quick determination highway congestion source position

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108088458A (en) * 2018-01-12 2018-05-29 山东高速信息工程有限公司 Based on image highway navigation road conditions show method, apparatus, storage medium
CN108510740A (en) * 2018-05-04 2018-09-07 百度在线网络技术(北京)有限公司 Report the method for digging and device of road conditions by mistake
CN111750892A (en) * 2019-03-26 2020-10-09 阿里巴巴集团控股有限公司 Electronic map display method and device, medium and terminal
CN111815941A (en) * 2019-04-10 2020-10-23 青岛海信网络科技股份有限公司 Frequent congestion bottleneck identification method and device based on historical road conditions
CN111815941B (en) * 2019-04-10 2021-07-23 青岛海信网络科技股份有限公司 Frequent congestion bottleneck identification method and device based on historical road conditions
CN111798660A (en) * 2020-06-30 2020-10-20 腾讯科技(深圳)有限公司 Vehicle information display and acquisition method and device and related equipment
CN111798660B (en) * 2020-06-30 2021-12-07 腾讯科技(深圳)有限公司 Vehicle information display and acquisition method and device and related equipment
CN112927540A (en) * 2021-01-21 2021-06-08 董龙鑫 Data sensing sharing system and method based on block chain

Also Published As

Publication number Publication date
CN107016872B (en) 2020-07-14

Similar Documents

Publication Publication Date Title
CN107016872A (en) Quickly generate method, medium and the system of Traffic Announcement traffic information Press release
US9797740B2 (en) Method of determining trajectories through one or more junctions of a transportation network
CN106991818A (en) A kind of effective method, storage medium and system for alleviating urban traffic blocking
CN108564226A (en) A kind of public bus network optimization method based on taxi GPS and mobile phone signaling data
CN109493620A (en) A kind of traffic analysis system, method and device
US6879907B2 (en) Method and system for modeling and processing vehicular traffic data and information and applying thereof
CN103325247B (en) Method and system for processing traffic information
CN106960570A (en) The method and system that highway congestion is sorted between the area under one's jurisdiction of multivariate data fusion
CN106952472A (en) Congestion level sort method and system between city based on multivariate data
WO2015051718A1 (en) Dynamic track navigation method and cloud platform
CN109544932A (en) A kind of city road network flow estimation method based on GPS data from taxi Yu bayonet data fusion
CN105489043B (en) Real-time route planing method based on vehicular ad hoc network
CN108170793A (en) Dwell point analysis method and its system based on vehicle semanteme track data
CN107784835A (en) Traffic behavior model prediction system and its Forecasting Methodology based on traffic data analyzing
CN105303831A (en) Method for determining congestion state of highway based on communication data
JP2018538627A (en) Method and apparatus for obtaining route heat of a traffic road
CN108171981A (en) The traffic of intersection determines method, apparatus and readable storage medium storing program for executing
CN104809893B (en) Traffic lights optimization system and optimization method based on ultra-wideband wireless location technology
CN113434619B (en) 4G expressway intelligent traffic road condition monitoring system
CN107622668A (en) A kind of dynamic and visual intersection management system for monitoring based on RFID
CN107134135A (en) A kind of method and system for alleviating highway congestion level
CN106920394A (en) The method and system of fusion multiple data sources reduction urban traffic blocking degree
CN107564291A (en) A kind of volume of traffic Source Tracing method and system based on RFID
CN106960569A (en) Be obstructed the method and system of coefficient based on multivariate data accurate calculation road traffic
CN107134136A (en) The method and system that road traffic congestion degree sorts between a kind of city

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