CN107016872B - Method, medium and system for quickly generating traffic broadcast road condition information release draft - Google Patents
Method, medium and system for quickly generating traffic broadcast road condition information release draft Download PDFInfo
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- CN107016872B CN107016872B CN201710368251.9A CN201710368251A CN107016872B CN 107016872 B CN107016872 B CN 107016872B CN 201710368251 A CN201710368251 A CN 201710368251A CN 107016872 B CN107016872 B CN 107016872B
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- 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
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/0969—Systems involving transmission of navigation instructions to the vehicle having a display in the form of a map
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- G—PHYSICS
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- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3446—Details of route searching algorithms, e.g. Dijkstra, A*, arc-flags, using precalculated routes
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3626—Details of the output of route guidance instructions
- G01C21/3647—Guidance involving output of stored or live camera images or video streams
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Abstract
The invention provides a method, a storage medium and a system for quickly generating traffic broadcast road condition information release draft. And judging whether the detection point is a congestion source, and if the detection point is the congestion source, immediately calling a video monitoring device shooting image at the position of the congestion source. And recording the position of the congestion detection point, the congestion source image information and the congestion queuing length to a pre-stored road condition information release draft, and releasing the time of forming the road condition information, the address of the detection point where the congestion source is located, the congestion queuing length and the congestion cause determined according to the congestion source image information by a road condition broadcaster. The method and the device can comprehensively and accurately release all road condition information within the range of road traffic information to be released, and can immediately release the position of a congestion source and the reason formed by the congestion source to a traveler in time particularly when congestion occurs.
Description
Technical Field
The invention relates to the field of road traffic guidance, in particular to a method, a storage medium and a system for quickly generating traffic broadcast road condition information release draft.
Background
The travelers can obtain the current road condition information through traffic broadcasting, and the method is the most convenient and most timely way. At present, the randomness of road condition information broadcasted by traffic broadcasting is strong, and a road condition broadcaster inspects the road condition information by video images distributed on roads in a whole city or issues part of road condition information fed back by road drivers according to own experience, so that all road condition information in a specified road traffic information range to be issued cannot be accurately issued comprehensively, and particularly when congestion occurs, the congestion source position, the reason formed by the congestion source and the congestion queuing length cannot be issued in time to provide pedestrian problems.
Disclosure of Invention
The invention provides a method, a storage medium and a system for quickly generating a traffic broadcast road condition information release draft, aiming at finding a congestion source and a congestion cause in time and releasing the congestion source and the congestion cause in a traffic broadcast mode.
Therefore, the invention provides a method for quickly generating traffic broadcast road condition information release draft, which comprises the following steps:
determining an area needing to broadcast road condition information on an electronic map, marking detection points between the exit and entrance positions of all intersections in the determined area and the intersections, setting the distance between every two adjacent detection points within a set threshold range, setting a specific number at each detection point, and associating the number of each detection point with the ID number of the video monitoring equipment corresponding to the position of the detection point;
acquiring real-time road condition information of each detection point, dividing real-time road condition data into four types of severe congestion, slowness and smoothness, and marking classification results on the corresponding detection points on the electronic map;
for each detection point, determining whether the detection point is a congestion source according to the road condition data of the detection point and the road condition data of the detection point adjacent to the downstream of the detection point;
when the detection point is determined as a congestion source, calling monitored congestion source image information of the associated video monitoring equipment according to the detection point number; acquiring the distance from a detection point, at which the road condition of the upstream of the congestion source and the nearest road condition to the congestion source is smooth, to the congestion source as the congestion queuing length;
and recording the position of the congestion detection point, the congestion source image information and the congestion queue into a pre-stored road condition information release draft to form road condition information, and enabling a road condition broadcaster to release the congestion information according to the time for forming the road condition information of the road condition information release draft, the address of the detection point where the congestion source is located, the congestion queue length and the congestion cause determined according to the congestion source image information.
Optionally, the method for quickly generating a traffic broadcast traffic information release draft further includes the following steps:
and calculating the passing time automatically required by passing through the congested road section according to the vehicle running speed and the congested queuing length in the congested road section range, and recording the passing time into the road condition information release draft.
Optionally, in the method for quickly generating a traffic broadcast road condition information release draft, the real-time road condition information of each detection point is acquired, the real-time road condition data is divided into four types of severe congestion, slowness and smoothness, and the classification result is marked to the corresponding detection point on the electronic map, which specifically includes the following steps:
acquiring position and speed data of all mobile phones in the area in real time, associating the position and speed data of each mobile phone to corresponding geographic position coordinates in the electronic map, and acquiring first real-time road condition data of each detection point according to the average moving speed of all mobile phones in the detection range of the detection point;
reading at least three groups of road condition cloud data through the internet, determining real-time road condition data on a geographic position coordinate corresponding to each detection point according to the at least three groups of road condition cloud data, and obtaining second real-time road condition data of the detection points;
and fusing the first real-time road condition data and the second real-time road condition data to obtain road condition data of each detection point, dividing the real-time road condition data into four types of severe congestion, slowness and smoothness, and marking the classification result to the corresponding detection point on the electronic map.
Optionally, in the method for quickly generating a traffic broadcast road condition information release draft, the method includes acquiring position and speed data of all mobile phones in the area sent by a mobile communication data center, associating the position and speed data of each mobile phone to a corresponding geographic position coordinate in the electronic map, and obtaining road condition data of the detection points as first real-time road condition data according to the moving speeds of all mobile phones in the coverage area of each detection point, and specifically includes:
configuring a detection range for each detection point, wherein the starting point of the detection range is the midpoint position of the detection point and the immediately upstream detection point, and the end point of the detection range is the midpoint position of the detection point and the immediately downstream detection point;
for each detection point, if the position and speed data of the mobile phone are not found in the detection range, the road condition data of the detection point is directly marked as smooth, otherwise, the moving speed V of each mobile phone in the detection range is obtainedaWherein a is more than or equal to 1 and less than or equal to A, A is the total number of the mobile phones in the detection range of the detection point, and the speed data of the detection point is calculated according to the following formula:
if the ratio of the speed data of the detection point to the highest speed limit value of the road section where the detection point is located is larger than or equal to a first threshold value, marking the road condition data of the detection point as smooth;
if the ratio of the speed data of the detection point to the highest speed limit value of the road section where the detection point is located is greater than or equal to a second threshold value and is smaller than a first threshold value, marking the road condition data of the detection point as slow;
if the ratio of the speed data of the detection point to the highest speed limit value of the road section where the detection point is located is greater than or equal to a third threshold value and is smaller than a second threshold value, marking the road condition data of the detection point as congestion;
and if the ratio of the speed data of the detection point to the highest speed limit value of the road section where the detection point is located is smaller than a third threshold value, marking the road condition data of the detection point as serious congestion.
Optionally, in the method for quickly generating a traffic broadcast traffic information release draft, for each detection point, the step of determining whether the detection point is a congestion source according to the traffic data of the detection point and the traffic data of the detection point immediately downstream from the detection point specifically includes:
if the detected point is marked as severe congestion and the detected point close to the downstream is not severe congestion, determining the detected point as a congestion source;
if the detected point is marked as congestion and the detected point close to the downstream is not seriously congested or jammed, determining the detected point as a congestion source;
if a checkpoint is marked as slow and the checkpoint immediately downstream is not heavily congested or slow, then the checkpoint is determined to be the source of the congestion.
The present invention also provides a storage medium storing computer instructions for executing the method for rapidly generating traffic broadcast road condition information release draft according to any one of claims 1 to 5 when a computer executes the computer instructions.
The invention also provides a system for quickly generating the traffic broadcast road condition information release draft, which comprises the following steps:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the one processor to cause the at least one processor to:
determining an area needing to broadcast road condition information on an electronic map, marking detection points between the exit and entrance positions of all intersections in the determined area and the intersections, setting the distance between every two adjacent detection points within a set threshold range, setting a specific number at each detection point, and associating the number of each detection point with the ID number of the video monitoring equipment corresponding to the position of the detection point;
acquiring real-time road condition information of each detection point, dividing real-time road condition data into four types of severe congestion, slowness and smoothness, and marking classification results on the corresponding detection points on the electronic map;
for each detection point, determining whether the detection point is a congestion source according to the road condition data of the detection point and the road condition data of the detection point adjacent to the downstream of the detection point;
when the detection point is determined as a congestion source, calling monitored congestion source image information of the associated video monitoring equipment according to the detection point number; acquiring the distance from a detection point, at which the road condition of the upstream of the congestion source and the nearest road condition to the congestion source is smooth, to the congestion source as the congestion queuing length;
and recording the position of the congestion detection point, the congestion source image information and the congestion queuing length into a pre-stored road condition information release draft to form road condition information, so that a road condition broadcaster can release the congestion detection point according to the time for forming the road condition information of the road condition information release draft, the address of the detection point where the congestion source is located, the congestion queuing length and the congestion cause determined according to the congestion source image information.
Compared with the prior art, the technical scheme provided by the invention at least has the following beneficial effects:
the invention provides a method, a storage medium and a system for quickly generating traffic broadcast road condition information release draft. And for each detection point, fusing various real-time road condition data to obtain the real-time road condition of the detection point. Judging whether the detection point is a congestion source, if so, immediately calling a video monitoring device shooting image at the position of the congestion source, immediately recording the position of the congestion detection point, congestion source image information and congestion queuing length into a pre-stored road condition information release draft to form road condition information, and enabling a road condition broadcaster to release the congestion cause determined according to the congestion source image information, the address of the congestion source detection point and the congestion queuing length according to the road condition information forming time of the road condition information release draft. Therefore, all road condition information in the range of road traffic information to be published can be comprehensively and accurately published, and particularly, when congestion occurs, the congestion source position and the reason formed by the congestion source can be immediately and timely published to solve the problem of a pedestrian.
Drawings
In order that the present invention may be more readily and clearly understood, reference is now made to the following detailed description of the invention taken in conjunction with the accompanying drawings, in which,
fig. 1 is a flowchart of a method for quickly generating a traffic broadcast road condition information release draft according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an interface for marking detection points on a road within a partial city range according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for determining whether a checkpoint is a source of congestion according to an embodiment of the present invention;
fig. 4 is a schematic block diagram of a system for quickly generating a traffic broadcast road condition information release draft according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. And the technical features mentioned in the different embodiments of the invention described below can be combined with each other as long as they do not conflict with each other.
Example 1
The embodiment provides a method for quickly generating a traffic broadcast road condition information release draft, as shown in fig. 1, including the following steps:
s1: determining an area needing to broadcast road condition information on an electronic map, marking detection points between the exit and entrance positions of all intersections in the determined area and the intersections, setting the distance between every two adjacent detection points within a set threshold range, setting a specific number at each detection point, and associating the number of each detection point with the ID number of the video monitoring equipment corresponding to the position of the detection point. As shown in fig. 2, preferably, detecting points are marked at the entrance and exit positions of all intersections of an urban road and between adjacent intersections on an electronic map, and if the length of the expressway is greater than a preset distance, the detecting points are marked on the expressway; if the crossing distance of the common road is larger than the preset distance, marking detection points among the crossings, marking the detection points on the electronic map and numbering the detection points. In the electronic map labeling detection point, the actual distance between two adjacent detection points can be set between 50 meters and 150 meters. The arrows in the figure indicate the direction of travel, which for electronic maps records the coordinates of the geographic position itself, so that the geographic position coordinates of the detected points are known for certainty, as long as they are marked at the corresponding positions. The position of each detection point corresponds to a video monitoring device, and the detection point number corresponds to the ID number of the video monitoring device, so that when the traffic condition of the detection point needs to be monitored, the video monitoring device corresponding to the ID number can be directly called through the number of the detection point to carry out real-time shooting.
S2: and acquiring real-time road condition information of each detection point, dividing the real-time road condition data into four types of severe congestion, slowness and smoothness, and marking classification results on the corresponding detection points on the electronic map. The real-time road condition data can be dark red, yellow and green, the dark red is used for representing serious congestion, the red is used for representing congestion, the yellow is used for representing slow congestion, the green is used for representing smooth traffic, the real-time road condition data can also comprise a geographical position coordinate and a road condition of the geographical position coordinate, and after the road condition data of a certain detection point is read, the real-time road condition data is directly associated with the geographical position coordinate on the electronic map.
S3: for each detection point, determining whether the detection point is a congestion source according to the road condition data of the detection point and the road condition data of the detection point adjacent to the downstream of the detection point;
s4: when the detection point is determined as a congestion source, calling monitored congestion source image information of the associated video monitoring equipment according to the detection point number; acquiring the distance from a detection point, at which the road condition of the upstream of the congestion source and the nearest road condition to the congestion source is smooth, to the congestion source as the congestion queuing length;
s5: and recording the position of the congestion detection point, the congestion source image information and the congestion queuing length into a pre-stored road condition information release draft to form road condition information, so that a road condition broadcaster can release the congestion detection point according to the time for forming the road condition information of the road condition information release draft, the address of the detection point where the congestion source is located, the congestion queuing length and the congestion cause determined according to the congestion source image information. The format of the road condition information release draft can be a set value, and when the road condition information release draft is specifically implemented, a specific zone bit is set for each data or a specific transmission protocol is adopted, so that the system can store the data to a set position in the road condition information release draft according to the set format after receiving the data. While the broadcaster is in
In the scheme, the detection points are marked on the electronic map of the area where the traffic broadcast needs to be issued, the distance between every two adjacent detection points is within a set threshold range, each detection point is provided with a specific number, and the number of each detection point is associated with the ID number of the video monitoring equipment corresponding to the position of the detection point. And for each detection point, fusing various real-time road condition data to obtain the real-time road condition of the detection point. Judging whether the detection point is a congestion source, if so, immediately calling a video monitoring device shooting image at the position of the congestion source, immediately recording the position of the congestion detection point, congestion source image information and congestion queuing length into a pre-stored road condition information release draft to form road condition information, and enabling a road condition broadcaster to release the congestion cause determined according to the congestion source image information, the address of the congestion source detection point and the congestion queuing length according to the road condition information forming time of the road condition information release draft. Therefore, all road condition information in the range of road traffic information to be published can be comprehensively and accurately published, and particularly, when congestion occurs, the congestion source position and the reason formed by the congestion source can be immediately and timely published to solve the problem of a pedestrian.
Further, the method may further include the steps of:
s6: and calculating the passing time automatically required by passing through the congested road section according to the vehicle running speed and the congested queuing length in the congested road section range, and recording the passing time into the road condition information release draft.
When the vehicle running speed is obtained, the vehicle running speed can be obtained according to the actual road condition data of each detection point. Since the road condition data is acquired at each detection point, it is determined according to the vehicle speed. For example, when the traffic jam is determined to be serious and red, the vehicle running speed corresponding to the detection point is less than 20% of the highest speed limit value of the current road section, so that the range of the vehicle speed of the detection point can be completely deduced reversely according to the road condition data of each detection point, and the time required for passing the traffic jam road section can be deduced according to the vehicle speed range of each detection point.
Example 2
In this embodiment, the real-time traffic information of each detection point is obtained, the real-time traffic data is divided into four types, namely, severe congestion, slowness and smoothness, and the classification result is marked on the corresponding detection point on the electronic map, so that the real-time traffic information of the detection point is obtained in the following manner:
s21, obtaining the position and speed data of all mobile phones in the area in real time, associating the position and speed data of each mobile phone to the corresponding geographical position coordinates in the electronic map, obtaining the first real-time road condition data of the detection point according to the average moving speed of all mobile phones in the detection range of each detection point, because the physical position coordinate Information is recorded on the electronic map, the position coordinate Information of the mobile phone can be directly compared with the position coordinate Information of the electronic map, and the position and speed Information of the mobile phone is marked to the corresponding position of the electronic map, so that the current position and moving speed of the mobile phone can be obtained.
S211: configuring a detection range for each detection point, wherein the starting point of the detection range is the midpoint position of the detection point and the immediately upstream detection point, and the end point of the detection range is the midpoint position of the detection point and the immediately downstream detection point; if there is no other detection point upstream of a certain detection point, it is taken as a starting point, and similarly, if there is no other detection point downstream of a certain detection point, it is taken as an ending point.
S212: for each detection point, if the position and speed data of the mobile phone are not found in the detection range, the road condition data of the detection point is directly marked as smooth, otherwise, the moving speed V of each mobile phone in the detection range is obtainedaWherein a is more than or equal to 1 and less than or equal to A, A is the total number of the mobile phones in the detection range of the detection point, and the speed data of the detection point is calculated according to the following formula:
that is, if there is no mobile phone in the detection range of the detection point, it is directly determined that there is no vehicle in the detection range of the detection point, and the vehicle can run according to the highest speed limit, and the road condition data is smooth and is directly represented by green.
S213: if the ratio of the speed data of the detection point to the highest speed limit value of the road section where the detection point is located is larger than or equal to a first threshold value, marking the road condition data of the detection point as smooth; if the ratio of the speed data of the detection point to the highest speed limit value of the road section where the detection point is located is greater than or equal to a second threshold value and is smaller than a first threshold value, marking the road condition data of the detection point as slow; if the ratio of the speed data of the detection point to the highest speed limit value of the road section where the detection point is located is greater than or equal to a third threshold value and is smaller than a second threshold value, marking the road condition data of the detection point as congestion; and if the ratio of the speed data of the detection point to the highest speed limit value of the road section where the detection point is located is smaller than a third threshold value, marking the road condition data of the detection point as serious congestion. As described above, the first threshold, the second threshold, and the third threshold may be set according to the actual situation, for example, the first threshold is selected to be 0.6, the second threshold is selected to be 0.4, and the third threshold is selected to be 0.2.
S22: reading at least three groups of road condition cloud data through the internet, determining real-time road condition data on a geographic position coordinate corresponding to each detection point according to the at least three groups of road condition cloud data, and obtaining second real-time road condition data of the detection points; specifically, many government departments release road condition information data to the internet, the data can be acquired free of charge, and the step can be performed by directly reading corresponding road condition data from the internet, so that in actual application, the average road condition of multiple groups of data can be obtained, or the road condition data of the detection point can be acquired according to the principle of representing which road condition data has the largest number of groups and marking the road condition data of the detection point as which road condition.
S23: and fusing the first real-time road condition data and the second real-time road condition data to obtain road condition data of each detection point, dividing the real-time road condition data into four types of severe congestion, slowness and smoothness, and marking the classification result to the corresponding detection point on the electronic map.
The real-time road condition data of the detection points are obtained more accurately by means of fusion of various data, and the situation that the road condition data acquired by a single way is large in error can be avoided.
Example 3
In this embodiment, for each detection point, the step of determining whether the detection point is a congestion source according to the traffic data of the detection point and the traffic data of the immediately downstream detection point may be implemented by the method shown in fig. 3:
s31: judging whether the detection point of a certain number is dark red, if so, executing step S32, otherwise, executing step S33;
s32: judging whether the detection point immediately downstream of the detection point with the number is dark red or not, if not, executing the step S37, and if so, returning to the step S2;
s33: judging whether the number detection point is red, if so, executing step S34, otherwise, executing step S35;
s34: judging whether the detecting point immediately downstream of the detecting point with the number is dark red or red, if not, executing the step S37, and if so, returning to the step S2;
s35: judging whether the detecting point of the number is yellow, if so, executing the step S36, otherwise, returning to the step S2;
s36: judging whether the detection point immediately downstream of the detection point with the number is dark red or yellow, if not, executing the step S37, and if so, returning to the step S2;
s37: and determining the number detection point as a congestion source.
The deep red above indicates severe congestion, red indicates congestion, yellow indicates slowness, and green indicates unblocked. That is, if a certain detection point is deep red, but its immediately downstream detection point is not deep red, the detection point is a congestion source. If a certain detection point is red, but the detection point immediately downstream of the certain detection point is not deep red or red, the detection point is the congestion source. If a certain detection point is yellow, but the detection point at the downstream of the certain detection point is not deep red, nor yellow, the detection point is the congestion source. By adopting the judging mode, the detection point corresponding to the congestion source can be obtained very simply and quickly, the specific position of the congestion source can be determined according to the corresponding relation between the detection point and the geographic position coordinate, and the guarantee is provided for quickly eliminating the congestion source.
In the method for effectively alleviating urban traffic congestion in this embodiment, after step S3, the method further includes the following steps:
s31: for each congestion source detection point, calculating a blocking coefficient of the congestion source according to road condition data of the congestion source detection point and road condition data of a downstream adjacent detection point;
accordingly, in step S5, the blocking coefficient of the congestion source is associated with the number of the congestion source detection point and then transmitted to the mobile terminal of the on-duty police together. The calculation process of the blocking coefficient specifically comprises the steps that at the moment when each detection point becomes a congestion source, the initial value of the blocking coefficient is zero; in each preset period, updating the blocking coefficient of each congestion source according to the following steps:
s311: and judging whether the congestion source is dark red, if so, executing the step S312, and otherwise, executing the step S314.
S312: judging whether a downstream adjacent detection point is green, if so, adding a first value to a blockage coefficient of the congestion source at the current moment by a preset period value, wherein the preset period value is in units of seconds, such as 1 second, 2 seconds and the like, otherwise, executing a step S313, and the first value can be selected according to actual conditions, wherein the first value is selected to be 1.5 in the embodiment.
S313: judging whether the downstream adjacent detection point is yellow, if so, adding a second numerical value to the blocking coefficient of the congestion source at the current moment by a preset period value; the second numerical value can be selected according to actual conditions, and is selected to be 1 in the embodiment; otherwise, the obstruction coefficient of the congestion source at the current time is added with a third value, which is selected according to the actual situation and is 0.5 in this embodiment, by a preset period value.
S314: and judging whether the congestion source is red, if so, executing a step S315, and otherwise, executing a step S316.
S315: and judging whether the downstream adjacent detection point is green, if so, adding a second numerical value to the blocking coefficient of the congestion source at the current moment by a preset period value, and if not, executing the step S316.
S316: and adding a third numerical value to the blocking coefficient of the congestion source at the current moment by a preset period value.
S317: and clearing the blockage coefficient of the congestion source which is changed into green in the area every second.
And for the detection point serving as the congestion source, determining the blocking coefficient of the congestion source according to the difference between the road condition and the road condition of the detection point adjacent to the downstream direction of the detection point. If the difference between the road condition of the immediately downstream detection point and the road condition of the congestion source is larger, the congestion source has larger resistance to the downstream, and therefore the blocking coefficient should be larger. For example, when a certain congestion source is dark red, and the detected point immediately adjacent to the downstream direction is green, and the detected point immediately adjacent to the downstream direction is red, the blocking coefficient of the former is larger than that of the latter.
Example 4
The present embodiment provides a storage medium, which stores computer instructions, and when a computer executes the computer instructions, is configured to execute the method for quickly generating a traffic broadcast traffic information distribution draft according to any one of embodiments 1 to 3.
Example 5
The embodiment provides a system for quickly generating a traffic broadcast road condition information release draft, as shown in fig. 4, including:
at least one processor 1; and the number of the first and second groups,
a memory 2 communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory 2 stores instructions executable by the one processor 1 to enable the at least one processor 1 to:
determining an area needing to broadcast road condition information on an electronic map, marking detection points between the exit and entrance positions of all intersections in the determined area and the intersections, setting the distance between every two adjacent detection points within a set threshold range, setting a specific number at each detection point, and associating the number of each detection point with the ID number of the video monitoring equipment corresponding to the position of the detection point;
acquiring real-time road condition information of each detection point, dividing real-time road condition data into four types of severe congestion, slowness and smoothness, and marking classification results on the corresponding detection points on the electronic map;
for each detection point, determining whether the detection point is a congestion source according to the road condition data of the detection point and the road condition data of the detection point adjacent to the downstream of the detection point;
when the detection point is determined as a congestion source, calling monitored congestion source image information of the associated video monitoring equipment according to the detection point number; acquiring the distance from a detection point, at which the road condition of the upstream of the congestion source and the nearest road condition to the congestion source is smooth, to the congestion source as the congestion queuing length;
and recording the position of the congestion detection point, the congestion source image information and the congestion queuing length into a pre-stored road condition information release draft to form road condition information, so that a road condition broadcaster can release the congestion detection point according to the time for forming the road condition information of the road condition information release draft, the address of the detection point where the congestion source is located, the congestion queuing length and the congestion cause determined according to the congestion source image information.
Example 6
The embodiment provides a system for quickly generating a traffic broadcast road condition information release draft, which comprises a control device arranged in a traffic management control center and a control device arranged in the traffic broadcast release center. Wherein:
the control device of the traffic management control center is configured to:
determining an area needing to broadcast road condition information on an electronic map, marking detection points between the exit and entrance positions of all intersections in the determined area and the intersections, setting the distance between every two adjacent detection points within a set threshold range, setting a specific number at each detection point, and associating the number of each detection point with the ID number of the video monitoring equipment corresponding to the position of the detection point;
acquiring real-time road condition information of each detection point, dividing real-time road condition data into four types of severe congestion, slowness and smoothness, and marking classification results on the corresponding detection points on the electronic map;
for each detection point, determining whether the detection point is a congestion source according to the road condition data of the detection point and the road condition data of the detection point adjacent to the downstream of the detection point;
when the detection point is determined as a congestion source, calling monitored congestion source image information of the associated video monitoring equipment according to the detection point number; acquiring the distance from a detection point, at which the road condition of the upstream of the congestion source and the nearest road condition to the congestion source is smooth, to the congestion source as the congestion queuing length;
and the control device of the traffic management control center sends the position of the congestion detection point, the congestion source image information and the congestion queuing length to the control device in the traffic broadcast distribution center.
A control device in a traffic broadcast distribution center configured to:
and receiving the position of a congestion detection point, the congestion source image information and the congestion queuing length, recording the congestion detection point, the congestion source image information and the congestion queuing length into a pre-stored road condition information release draft to form road condition information, and enabling a road condition broadcaster to release the congestion detection point according to the time for forming the road condition information of the road condition information release draft, the address of the detection point where the congestion source is located, the congestion queuing length and the congestion cause determined according to the congestion source image information.
In the scheme, the detection points are marked on the electronic map of the area where the traffic broadcast needs to be issued, the distance between every two adjacent detection points is within a set threshold range, each detection point is provided with a specific number, and the number of each detection point is associated with the ID number of the video monitoring equipment corresponding to the position of the detection point. And for each detection point, fusing various real-time road condition data to obtain the real-time road condition of the detection point. Judging whether the detection point is a congestion source, if so, immediately calling a video monitoring device shooting image at the position of the congestion source, immediately recording the position of the congestion detection point, congestion source image information and congestion queuing length into a pre-stored road condition information release draft to form road condition information, and enabling a road condition broadcaster to release the congestion cause determined according to the congestion source image information, the address of the congestion source detection point and the congestion queuing length according to the road condition information forming time of the road condition information release draft. Therefore, all road condition information in the range of road traffic information to be published can be comprehensively and accurately published, and particularly, when congestion occurs, the congestion source position and the reason formed by the congestion source can be immediately and timely published to solve the problem of a pedestrian.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.
Claims (4)
1. A method for quickly generating traffic broadcast road condition information release draft is characterized by comprising the following steps:
determining an area needing to broadcast road condition information on an electronic map, marking detection points between the exit and entrance positions of all intersections in the determined area and the intersections, setting the distance between every two adjacent detection points within a set threshold range, setting a specific number at each detection point, and associating the number of each detection point with the ID number of the video monitoring equipment corresponding to the position of the detection point; the actual distance between two adjacent detection points is set between 50 meters and 150 meters;
acquiring real-time road condition data of each detection point, dividing the real-time road condition data into four types of severe congestion, slowness and smoothness, and marking classification results on the corresponding detection points on the electronic map;
acquiring position and speed data of all mobile phones in the area in real time, associating the position and speed data of each mobile phone to corresponding geographic position coordinates in the electronic map, and acquiring first real-time road condition data of each detection point according to the average moving speed of all mobile phones in the detection range of the detection point; the method comprises the following steps:
configuring a detection range for each detection point, wherein the starting point of the detection range is the midpoint position of the detection point and the immediately upstream detection point, and the end point of the detection range is the midpoint position of the detection point and the immediately downstream detection point;
for each detection point, if the position and speed data of the mobile phone are not found in the detection range, the road condition data of the detection point is directly marked as smooth, otherwise, the moving speed V of each mobile phone in the detection range is obtainedaWherein a is more than or equal to 1 and less than or equal to A, A is the total number of the mobile phones in the detection range of the detection point, and the speed data of the detection point is calculated according to the following formula:
if the ratio of the speed data of the detection point to the highest speed limit value of the road section where the detection point is located is larger than or equal to a first threshold value, marking the road condition data of the detection point as smooth;
if the ratio of the speed data of the detection point to the highest speed limit value of the road section where the detection point is located is greater than or equal to a second threshold value and is smaller than a first threshold value, marking the road condition data of the detection point as slow;
if the ratio of the speed data of the detection point to the highest speed limit value of the road section where the detection point is located is greater than or equal to a third threshold value and is smaller than a second threshold value, marking the road condition data of the detection point as congestion;
if the ratio of the speed data of the detection point to the highest speed limit value of the road section where the detection point is located is smaller than a third threshold value, marking the road condition data of the detection point as serious congestion;
reading at least three groups of road condition cloud data through the internet, determining real-time road condition data on a geographic position coordinate corresponding to each detection point according to the at least three groups of road condition cloud data, and obtaining second real-time road condition data of the detection points;
the first real-time road condition data and the second real-time road condition data are fused to obtain road condition data of each detection point, the real-time road condition data are divided into four types of serious congestion, slowness and smoothness, and classification results are marked to the corresponding detection points on the electronic map;
for each detection point, determining whether the detection point is a congestion source according to the road condition data of the detection point and the road condition data of the detection point adjacent to the downstream of the detection point;
when the detection point is determined as a congestion source, calling monitored congestion source image information of the associated video monitoring equipment according to the detection point number; acquiring the distance from a detection point, at which the road condition of the upstream of the congestion source and the nearest road condition to the congestion source is smooth, to the congestion source as the congestion queuing length;
recording the position of the congestion detection point, the congestion source image information and the congestion queuing length into a pre-stored road condition information release draft to form road condition information, and enabling a road condition broadcaster to release the congestion detection point according to the time for forming the road condition information of the road condition information release draft, the address of the detection point where the congestion source is located, the congestion queuing length and a congestion cause determined according to the congestion source image information;
also comprises the following steps:
and calculating the passing time required by passing through the congested road section according to the vehicle running speed and the congested queuing length in the congested road section range, and recording the passing time into the road condition information release draft.
2. The method for rapidly generating traffic broadcast road condition information release draft according to claim 1, wherein for each detection point, the step of determining whether the detection point is a congestion source according to the road condition data of the detection point and the road condition data of the immediately downstream detection point specifically comprises:
if the detected point is marked as severe congestion and the detected point close to the downstream is not severe congestion, determining the detected point as a congestion source;
if the detected point is marked as congestion and the detected point close to the downstream is not seriously congested or jammed, determining the detected point as a congestion source;
if a checkpoint is marked as slow and the checkpoint immediately downstream is not heavily congested or slow, then the checkpoint is determined to be the source of the congestion.
3. A storage medium storing computer instructions for executing the method of rapidly generating traffic broadcast road condition information distribution draft according to claim 1 or 2 when the computer executes the computer instructions.
4. A system for quickly generating traffic broadcast road condition information release draft is characterized by comprising the following steps:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
determining an area needing to broadcast road condition information on an electronic map, marking detection points between the exit and entrance positions of all intersections in the determined area and the intersections, setting the distance between every two adjacent detection points within a set threshold range, setting a specific number at each detection point, and associating the number of each detection point with the ID number of the video monitoring equipment corresponding to the position of the detection point; the actual distance between two adjacent detection points is set between 50 meters and 150 meters;
acquiring real-time road condition data of each detection point, dividing the real-time road condition data into four types of severe congestion, slowness and smoothness, and marking classification results on the corresponding detection points on the electronic map;
acquiring position and speed data of all mobile phones in the area in real time, associating the position and speed data of each mobile phone to corresponding geographic position coordinates in the electronic map, and acquiring first real-time road condition data of each detection point according to the average moving speed of all mobile phones in the detection range of the detection point; the method comprises the following steps:
configuring a detection range for each detection point, wherein the starting point of the detection range is the midpoint position of the detection point and the immediately upstream detection point, and the end point of the detection range is the midpoint position of the detection point and the immediately downstream detection point;
for each detection point, if the position and speed data of the mobile phone are not found in the detection range, the road condition data of the detection point is directly marked as smooth, otherwise, the moving speed V of each mobile phone in the detection range is obtainedaWherein a is more than or equal to 1 and less than or equal to A, A is the total number of the mobile phones in the detection range of the detection point, and the speed data of the detection point is calculated according to the following formula:
if the ratio of the speed data of the detection point to the highest speed limit value of the road section where the detection point is located is larger than or equal to a first threshold value, marking the road condition data of the detection point as smooth;
if the ratio of the speed data of the detection point to the highest speed limit value of the road section where the detection point is located is greater than or equal to a second threshold value and is smaller than a first threshold value, marking the road condition data of the detection point as slow;
if the ratio of the speed data of the detection point to the highest speed limit value of the road section where the detection point is located is greater than or equal to a third threshold value and is smaller than a second threshold value, marking the road condition data of the detection point as congestion;
if the ratio of the speed data of the detection point to the highest speed limit value of the road section where the detection point is located is smaller than a third threshold value, marking the road condition data of the detection point as serious congestion;
reading at least three groups of road condition cloud data through the internet, determining real-time road condition data on a geographic position coordinate corresponding to each detection point according to the at least three groups of road condition cloud data, and obtaining second real-time road condition data of the detection points;
the first real-time road condition data and the second real-time road condition data are fused to obtain road condition data of each detection point, the real-time road condition data are divided into four types of serious congestion, slowness and smoothness, and classification results are marked to the corresponding detection points on the electronic map;
for each detection point, determining whether the detection point is a congestion source according to the road condition data of the detection point and the road condition data of the detection point adjacent to the downstream of the detection point;
when the detection point is determined as a congestion source, calling monitored congestion source image information of the associated video monitoring equipment according to the detection point number; acquiring the distance from a detection point, at which the road condition of the upstream of the congestion source and the nearest road condition to the congestion source is smooth, to the congestion source as the congestion queuing length;
recording the position of the congestion detection point, the congestion source image information and the congestion queuing length into a pre-stored road condition information release draft to form road condition information, and enabling a road condition broadcaster to release the congestion detection point according to the time for forming the road condition information of the road condition information release draft, the address of the detection point where the congestion source is located, the congestion queuing length and a congestion cause determined according to the congestion source image information;
and calculating the passing time required by passing through the congested road section according to the vehicle running speed and the congested queuing length in the congested road section range, and recording the passing time into the road condition information release draft.
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| 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 |
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