CN115206109A - Traffic road real-time management and control method based on big data - Google Patents
Traffic road real-time management and control method based on big data Download PDFInfo
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- CN115206109A CN115206109A CN202210635327.0A CN202210635327A CN115206109A CN 115206109 A CN115206109 A CN 115206109A CN 202210635327 A CN202210635327 A CN 202210635327A CN 115206109 A CN115206109 A CN 115206109A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
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- General Physics & Mathematics (AREA)
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Abstract
The invention discloses a traffic road real-time control method based on big data, and particularly relates to the technical field of traffic control.A first step is to select a crossing as a starting point, mark the starting point, a crossing next to the starting point and a crossing previous to the starting point as detection points, place a data detection terminal and obtain road crossing image data; classifying the data acquired at each intersection according to the intersection position, and independently extracting and storing the vehicle information and the vehicle speed information in the corresponding intersection; and step three, calculating distance information between two adjacent detection points, and storing the data information separately. The invention controls the time of the traffic lights at the intersection in real time according to the traffic information of the intersection related to the traffic lights, effectively realizes the orderly passing of vehicles at the intersection and avoids the phenomenon of congestion at the intersection.
Description
Technical Field
The invention relates to the technical field of traffic control, in particular to a traffic road real-time control method based on big data.
Background
With the great development of economy and society, a large number of people are gathered in cities, vehicles also become indispensable travel tools for many families, the transportation problems are brought, in some busy commercial areas, the number of people is large, the traffic jam is easy to occur, and the situation is more serious particularly at intersections in rush hours in the morning and at night.
Disclosure of Invention
In order to achieve the purpose, the invention provides the following technical scheme: a traffic road real-time management and control method based on big data comprises the following steps:
step one, selecting an intersection as a starting point, marking the starting point, a next intersection of the starting point and a previous intersection of the starting point as detection points, and placing a data detection terminal to obtain road intersection image data;
classifying the data acquired at each intersection according to the intersection position, and independently extracting and storing the vehicle information and the vehicle speed information in the corresponding intersection;
step three, calculating distance information between two adjacent detection points, and storing the data information independently;
and step four, calculating the arrival time of the next vehicle at the starting point according to the distance information, the vehicle information and the vehicle speed information, and realizing real-time traffic road management and control.
In a preferred embodiment, the image data of each intersection includes two sets, one set is an image of a road on a side toward the starting point, and the other set is an image of a road on a side away from the starting point.
In a preferred embodiment, when the image information is classified, the distance information between the vehicles is also acquired.
In a preferred embodiment, in the information calculation, the arrival time of the next vehicle is determined according to the distance between the different intersection and the starting point, the vehicle information at the different intersection, the vehicle speed information and the inter-vehicle distance information.
In a preferred embodiment, the information calculation is specifically:
marking the starting point as X, marking the crossing above the starting point as A and the crossing next as B, and setting the distance between the starting point and the crossing A as XA L The distance between the starting point and the intersection B is XB L 。
In a preferred embodiment, the side of the intersection A facing the starting point is obtained according to the first group of image informationAfter the green light passes, the first vehicle passes through the vehicle speed information V at the intersection A 1 Then the time for the vehicle to travel to the starting point a is:
in a preferred embodiment, according to the first group of image information, the vehicle speed information V of the starting point X towards the side of the intersection B is obtained, and after the green light passes through, the first vehicle passes through the starting point X 2 Then the vehicle is driven to the intersection B for the time
In a preferred embodiment, according to the second group of image information, the vehicle speed information V is obtained when the intersection B faces to the side of the starting point X, and after the green light passes, the first vehicle passes through the intersection B 3 Then the vehicle is driven to the intersection B for the time
In a preferred embodiment, according to the second image information, the vehicle speed information V is obtained when the starting point X faces to the side of the intersection a, and after the green light passes, the first vehicle passes through the starting point X 4 Then the vehicle is driven to the intersection A for the time
The invention has the technical effects and advantages that:
by managing and controlling the time of the traffic lights at the intersection and carrying out real-time control according to the traffic information of the vehicles at the intersection associated with the traffic lights, the vehicles at the intersection can pass through the intersection orderly, and the phenomenon that the intersection is blocked is avoided.
Detailed Description
The present invention will be described in further detail with reference to specific embodiments. The embodiments of the present invention have been presented for purposes of illustration and description, and are not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiment was chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
The invention provides a traffic road real-time control method based on big data, which comprises the following steps:
step one, selecting an intersection as a starting point, marking the starting point, a next intersection of the starting point and a previous intersection of the starting point as detection points, and placing a data detection terminal to obtain road intersection image data;
classifying the data acquired at each intersection according to the intersection position, and independently extracting and storing the vehicle information and the vehicle speed information in the corresponding intersection;
step three, calculating distance information between two adjacent detection points, and storing the data information independently;
and step four, calculating the arrival time of the next vehicle at the starting point according to the distance information, the vehicle information and the vehicle speed information, and realizing real-time traffic road management and control.
Furthermore, the image data of each intersection includes two sets, one set is the road image towards the starting point side, and the other set is the road image away from the starting point side.
Further, when the image information is classified, the distance information between the vehicles is also acquired.
Further, when information calculation is carried out, the arrival time of the next vehicle is judged according to the distance between different intersections and the starting point, the vehicle information at different intersections, the vehicle speed information and the inter-vehicle distance information.
The information calculation specifically comprises the following steps:
marking the starting point as X, marking the intersection on the starting point as A and the next intersection as B, and then the distance between the starting point and the intersection A is XA L Distance between the starting point and the intersection BIs XB L 。
According to the first group of image information, acquiring vehicle speed information V that the intersection A faces to one side of the starting point, and after the green light passes through, the first vehicle passes through the intersection A 1 Then the time for the vehicle to travel to the starting point a is:
according to the first group of image information, vehicle speed information V that the starting point X faces to one side of the intersection B and the first vehicle passes through the starting point X after the green light passes is obtained 2 Then the vehicle is driven to the intersection B for the time
According to the second group of image information, vehicle speed information V is obtained when the intersection B faces to one side of the starting point, and after the green light passes through, the first vehicle passes through the intersection B 3 Then the vehicle is driven to the intersection B for the time
According to the second image information, vehicle speed information V that the starting point X faces to one side of the intersection A and the first vehicle passes through the starting point X after the green light passes is obtained 4 Then the vehicle is driven to the intersection A for the time
Further, because the time for each vehicle to travel to the starting point X is different, the time for the traffic lights at the starting point to face each direction intersection is also adjusted, and the adjustment is set according to the vehicle travel time.
On the basis, because the quantity of the vehicles running at the intersection A and the intersection B is different, the interval between every two traffic lights is different, and proper traffic light time needs to be set, so that the vehicles coming and going in each direction can smoothly pass through the starting point X, and the phenomenon of traffic jam at the starting point X is avoided, and the method specifically comprises the following steps:
acquiring the quantity information of the vehicles from each group of image information, and extracting the running speed information of the last vehicle passing at the intersection A and the intersection B in the green time;
wherein, the time of the first vehicle passing through the green light at the intersection A is recorded as the time S 1 Extracting the vehicle speed when the last vehicle passes through the green light of the intersection A, and acquiring the time data at the moment, and recording the time data as S 2 Then, the time B taken by the last vehicle to reach the starting point X is calculated 1 The management and control time for ensuring that the traffic light at the starting point X towards the intersection a is not jammed specifically is as follows:
the starting time is
End time of S 2 +B 1 。
Recording the time of the first vehicle passing through the starting point X as the time S 3 Extracting the speed of the last vehicle passing through the green light of the starting point X, and acquiring the time data at the moment, and recording the time data as S 4 Then calculating the time B for the last vehicle to reach the intersection B 2 The management and control time for ensuring that the traffic light at the intersection B towards the starting point X is not jammed specifically is as follows:
the starting time is
End time is S 4 +B 2 。
Recording the time of the first vehicle passing through the green light at the intersection B as the time S 5 Extracting the vehicle speed when the last vehicle passes through green light of the intersection B, and acquiring the time data at the moment, and recording the time data as S 6 Then calculating the time B when the last vehicle reaches the starting point X 3 Then, thenThe management and control time for ensuring that the traffic light at the starting point X towards the intersection B is not blocked specifically is as follows:
the starting time is
End time of S 6 +B 3 。
Recording the time of the first vehicle passing through the green light at the starting point X as the time S 7 Extracting the speed of the last vehicle passing through the green light of the starting point X, and acquiring the time data at the moment, and recording the time data as S 8 Then calculating the time B when the last vehicle reaches the intersection A 4 The management and control time for ensuring that the traffic light at the intersection a facing the starting point X is not jammed specifically is as follows:
the starting time is
End time of S 8 +B 4 。
Because the traffic light time at each crossing is controlled according to the number and the speed of the vehicles passing through the previous crossing, the traffic light at the crossing can control the vehicles to effectively pass through.
The time of the traffic lights at the intersection is controlled, and real-time control is carried out according to the traffic information of the vehicles at the intersection associated with the traffic lights, so that the vehicles at the intersection can pass through the intersection in order, and the phenomenon of congestion at the intersection is avoided.
It is to be understood that the described embodiments are merely a few embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by one of ordinary skill in the art and related arts based on the embodiments of the present invention without any creative effort, shall fall within the protection scope of the present invention. Structures, devices, and methods of operation not specifically described or illustrated herein are generally practiced in the art without specific recitation or limitation.
Claims (9)
1. A traffic road real-time management and control method based on big data is characterized by comprising the following steps:
step one, selecting an intersection as a starting point, marking the starting point, a next intersection of the starting point and a previous intersection of the starting point as detection points, and placing a data detection terminal to obtain road intersection image data;
classifying the data acquired at each intersection according to the intersection position, independently extracting the vehicle information and the vehicle speed information in the corresponding intersection, and independently storing the vehicle information and the vehicle speed information;
step three, calculating distance information between two adjacent detection points, and storing the data information independently;
and step four, calculating the arrival time of the next vehicle at the starting point according to the distance information, the vehicle information and the vehicle speed information, and realizing real-time traffic road management and control.
2. The method as claimed in claim 1, wherein the image data of each intersection includes two sets, one set is an image of a road toward the starting point, and the other set is an image of a road away from the starting point.
3. The real-time traffic road management and control method based on big data as claimed in claim 2, characterized in that when the image information is classified, the distance information between vehicles is also obtained.
4. The real-time traffic road management and control method based on big data as claimed in claim 3, wherein when calculating the information, the arrival time of the next vehicle is determined according to the distance between different intersections and the starting point, the vehicle information at different intersections, the vehicle speed information and the inter-vehicle distance information.
5. The big data-based traffic road real-time control method according to claim 4, wherein the information calculation specifically comprises:
marking the starting point as X, marking the intersection on the starting point as A and the next intersection as B, and then the distance between the starting point and the intersection A is XA L The distance between the starting point and the intersection B is XB L 。
6. The method as claimed in claim 5, wherein the method for real-time traffic road management and control based on big data is characterized in that according to the first group of image information, the vehicle speed information V is obtained when the first vehicle passes through the intersection A and the intersection A faces the side of the starting point, and after the green light passes through 1 Then the time for the vehicle to travel to the starting point a is:
7. the method as claimed in claim 5, wherein the first group of image information is used to obtain vehicle speed information V from a starting point X toward a side of the intersection B, and after the green light passes through, the first vehicle passes through the starting point X 2 Then the vehicle is driven to the intersection B for the time
8. The method as claimed in claim 5, wherein the traffic road real-time management and control method based on big data is characterized in that according to the second group of image information, the vehicle speed information V is obtained when the first vehicle passes through the intersection B and the intersection B faces the side of the starting point, and after the green light passes through 3 Then the vehicle is driven to the intersection B for the time
9. The big-data-based traffic road real-time control method according to claim 5, wherein according to the second image information, a starting point X is obtained towards a roadOn the side of the opening A, after the green light passes through, the first vehicle passes through the vehicle speed information V at the starting point X 4 Then the vehicle is driven to the intersection A for the time
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