CN111640314A - Intelligent variable lane traffic flow control system based on big data and control method thereof - Google Patents
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Abstract
The invention relates to the technical field of traffic flow control, and discloses an intelligent variable lane traffic flow control system based on big data, which comprises a wide area radar detector, a variable lane indicator arranged behind a stop line, a traffic signal indicator arranged in front of the stop line, a cloud computing platform arranged in a control room, and a terminal processor. The invention reasonably shunts the traffic flow by three control methods, and can freely switch the control methods according to requirements, so that the traffic flow control is not interfered by external environmental factors, and the crossing traffic efficiency is greatly improved.
Description
Technical Field
The invention relates to the technical field of traffic flow control, in particular to an intelligent variable lane traffic flow control system based on big data and a control method thereof.
Background
Traditional traffic flow control carries out traffic flow control through traffic signal lamp and regularly variable sign, this kind of control mode is owing to can not know the quantity condition of left bank, the vehicle of arranging in the right bank or the straight lane in real time, the problem that the vehicle was queued appears easily when the peak of morning and evening, the lane of arranging the long is let slow in the lane of lining up the weak point, through the vicious circle of time lapse, traffic congestion scheduling problem appears easily, consequently, the variable lane sign of intelligence has appeared on the market, like the application number: 201621061650.8, the intelligent variable lane sign monitors the vehicle queuing condition in real time by a video vehicle detector or a radar detector, then transmits the data to a controller, the controller intelligently controls the variable lane sign after analyzing and comparing the data, however, the control mode still has certain defects, if the detector fails or the detection data is inaccurate and untimely due to the weather and road conditions, the traffic flow control is easy to fail, even more serious traffic accidents occur.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an intelligent variable lane traffic flow control system based on big data and a control method thereof.
In order to solve the technical problem, the invention is realized by the following scheme: the intelligent variable lane traffic flow control system based on big data comprises a wide area radar detector, a variable lane indicator arranged behind a stop line, a traffic signal indicator arranged in front of the stop line, a cloud computing platform arranged in a control room and a terminal processor, and further comprises a front end indicator controller electrically connected with the variable lane indicator and a front end signal indicator controller electrically connected with the traffic signal indicator, wherein the wide area radar detector is connected with the cloud computing platform through a network, the cloud computing platform is connected with the terminal processor through an RS232, and the terminal processor is connected with the front end indicator controller and the front end signal indicator controller through a network;
the cloud computing platform comprises a data receiving module, a data computing module, a temporary storage module, a database storage module and a data display module, wherein the data receiving module is used for receiving monitoring data of the wide-area radar detector, the data computing module is used for classifying and computing the monitoring data according to time and types, the temporary storage module is used for storing real-time monitoring data, the database storage module is used for storing old monitoring data and forming a database, and the display module is used for displaying the classified monitoring data.
Furthermore, the variable lane indicator is a left-turn fixed indicator, a straight-going or left-turn variable indicator, a plurality of straight-going fixed indicators and a right-turn fixed indicator from left to right in sequence, and the traffic signal indicator is a left-turn indicator, a straight-going indicator and a right-turn indicator from left to right in sequence.
Furthermore, the wide area radar detector is arranged on a cross arm rod of the variable lane indicator in the coming direction, has a horizontal distance not less than 50m from a stop line, and is used for detecting the running speed, the traffic flow and the queuing length of the vehicles in the range of 200m in the coming direction of two lanes adjacent to the variable lane.
Furthermore, the variable lane indicating plate is used for prompting the vehicle to select in advance and enter a corresponding left-turn, right-turn or straight lane, wherein the straight or left-turn variable indication of the variable lane indicating plate is indicated by a variable indicating lamp, and the variable indicating lamp is controlled by a front end indicating plate controller.
Further, a temporary storage module of the cloud computing platform stores the data according to the sequence of data writing, and when the temporary storage module is full, the data stored firstly is automatically written into a database storage module; when the data of the temporary storage module of the cloud computing platform is read, the latest stored data is preferably read.
Further, when the monitoring data are classified and calculated according to time and categories, the time is divided into an early peak time period of 7-9 points, a late peak time period of 17-19 points and other time periods, and the categories are the average speed of vehicles, the traffic flow and the queuing length of the vehicles in each time period.
Further, the terminal processor is used for reading the storage data of the cloud computing platform, and generating a control instruction by processing the storage data; the front end indicator controller and the front end signal indicator lamp controller are used for receiving a control instruction of the terminal processor to control the variable indicator lamp and the traffic signal indicator lamp, timing control modules are arranged in the front end indicator controller and the front end signal indicator lamp controller, and the variable indicator lamp and the traffic signal indicator lamp can be controlled by editing time and action of timing control.
The invention also provides an intelligent variable lane traffic flow control method, which comprises the following three steps:
A) the terminal processor reads real-time data of the temporary storage module of the cloud computing platform and processes the real-time data to generate a control instruction to control the variable indicator light and the traffic signal indicator light.
B) And the terminal processor reads the database data of the cloud computing platform database storage module and processes the database data to generate a control instruction to control the variable indicator light and the traffic signal indicator light.
C) The user directly edits and sets the timing control time of the timing control module in the indicator controller and the front end signal indicator controller and the indication actions of the corresponding time variable indicator lamp and the traffic signal indicator lamp.
Compared with the prior art, the invention has the beneficial effects that: the invention calculates and stores the detection data of the wide-area radar detector through the cloud computing platform, and reads the storage data of the cloud computing platform by using the terminal processor to analyze and generate instructions, when the storage data of the cloud computing platform is read, manual intervention can be carried out according to actual requirements, the temporary storage module or the database storage module is read, when the wide-area radar detector normally works and the weather condition is good, the manual intervention controls the terminal processor to read the data of the temporary storage module to track the real-time traffic condition, so that the terminal processor controls a variable indicator and a traffic signal indicator according to the real-time traffic condition, and when the wide-area radar detector abnormally works and the weather condition is poor, the manual intervention controls the terminal processor to read the data of the database storage module to analyze the big data in the previous time period, the invention can also edit and set timing control programs on the timing control modules of the sign controller and the front end signal indicator lamp controller, thereby ensuring the continuous control of the variable signs and the traffic signal indicator lamps, effectively controlling the traffic flow, reducing the queuing time of vehicles and relieving the traffic pressure.
Drawings
FIG. 1 is a schematic structural diagram of an intelligent variable lane traffic control system according to the present invention;
FIG. 2 is a schematic diagram of the control method for intelligent variable lane traffic control according to the present invention;
in the drawings: 1. wide area radar detector, 2, variable lane sign, 3, traffic signal pilot lamp, 4, cloud computing platform, 5, terminal processor, 6, front end sign controller, 7, front end signal pilot lamp controller.
Detailed Description
The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings so that the advantages and features of the invention can be more readily understood by those skilled in the art, and the scope of the invention will be more clearly and clearly defined.
Example 1
The intelligent variable lane traffic flow control system based on big data comprises a wide area radar detector 1, a variable lane indicator board 2 arranged behind a stop line, a traffic signal indicator lamp 3 arranged in front of the stop line, a cloud computing platform 4 arranged in a control room and a terminal processor 5, and further comprises a front end indicator board controller 6 electrically connected with the variable lane indicator board 2 and a front end signal indicator lamp controller 7 electrically connected with the traffic signal indicator lamp 3, wherein the wide area radar detector 1 is connected with the cloud computing platform 4 through a network, the cloud computing platform 4 is connected with the terminal processor 5 through an RS232, and the terminal processor 5 is connected with the front end indicator board controller 6 and the front end signal indicator lamp controller 7 through a network;
the cloud computing platform 4 comprises a data receiving module, a data computing module, a temporary storage module, a database storage module and a data display module, the data receiving module is used for receiving monitoring data of the wide-area radar detector 1, the data computing module is used for classifying and computing the monitoring data according to time and types, the temporary storage module is used for storing real-time monitoring data, the database storage module is used for storing old monitoring data and forming a database, and the display module is used for displaying the classified monitoring data.
The variable lane indicating plate 2 sequentially comprises a left-turning fixed indication, a straight-going or left-turning variable indication, a plurality of straight-going fixed indications and a right-turning fixed indication from left to right, and the traffic signal indicating lamp 3 sequentially comprises a left-turning indicating lamp, a straight-going indicating lamp and a right-turning indicating lamp from left to right.
The wide area radar detector 1 is arranged on a cross arm rod of a variable lane indication board 2 in the incoming direction or on the road side, the distance from the horizontal distance of a stop line is about 50m, the wide area radar detector is mainly used for detecting the vehicle running speed, the vehicle flow and the vehicle queuing length in the 200m range of the incoming directions of two adjacent lanes in the variable lane, and the monitoring range of the wide area radar detector 1 can be set according to the site conditions in the setting mode, so that the detection range is wider, and the traffic flow information of longer vehicle queuing length can be monitored.
The variable lane indicator 2 is used for prompting the vehicle to select in advance and enter a corresponding left-turn, right-turn or straight lane, wherein the straight or left-turn variable indication of the variable lane indicator 2 is indicated through a variable indicator lamp, and the variable indicator lamp is controlled through a front end indicator controller 6.
The temporary storage module of the cloud computing platform 4 stores the data according to the sequence of data writing, and when the temporary storage module is full, the data stored firstly is automatically written into the database storage module; when reading the data of the temporary storage module of the cloud computing platform 4, it is preferable to read the latest stored data.
When the monitoring data are classified and calculated according to time and categories, the time is divided into an early peak time period of 7-9 points, a late peak time period of 17-19 points and other time periods, and the categories are the average speed, the traffic flow and the queuing length of vehicles in all the time periods.
The terminal processor 5 is used for reading the storage data of the cloud computing platform 4, processing the storage data and generating a control instruction; the front end indicator controller 6 and the front end signal indicator lamp controller 7 are used for receiving a control instruction of the terminal processor 5 to control the variable indicator lamp and the traffic signal indicator lamp 3, timing control modules are arranged in the front end indicator controller 6 and the front end signal indicator lamp controller 7, and the variable indicator lamp and the traffic signal indicator lamp 3 can be controlled by editing time and action of timing control.
The invention relates to an intelligent variable lane traffic flow control method, which comprises the following three steps:
the A terminal processor 5 reads the real-time data of the temporary storage module of the cloud computing platform 4, and processes the real-time data to generate a control instruction to control the variable indicator light and the traffic signal indicator light 3.
The B terminal processor 5 reads the database data of the database storage module of the cloud computing platform 4 and processes the database data to generate a control instruction to control the variable indicator light and the traffic signal indicator light 3.
And C, directly editing and setting the timing control time of the timing control module in the indicator controller 6 and the front end signal indicator controller 7 and the indicating actions of the corresponding time variable indicator lamp and the traffic signal indicator lamp 3 by the user.
It should be noted that, when the terminal processor 5 of the present invention reads data, it may be controlled by manual intervention whether the terminal processor 5 reads real-time data of the temporary storage module or reads database data of the database storage module.
Example 2
This embodiment is described by taking 7 lanes as an example, in which the first lane is a left-turn lane, the second lane is a variable lane, the third to sixth lanes are all straight-ahead vehicles, and the seventh lane is a right-turn lane.
Referring to the attached figure 2, the realization principle of the intelligent variable lane traffic flow control method of the invention is as follows:
(1) when the wide area radar detector works normally and the weather condition is good, real-time monitoring is not affected, the manual intervention control terminal processor 5 reads real-time data of the temporary storage module, then analyzes the real-time data to generate a control instruction, if the wide area radar detector detects that the traffic demand of a left-turn lane relative to a straight lane and a right-turn lane in a certain traffic lane is increased, the variable indication of the variable indication board is switched to a left-turn indication state, and a second lane which is originally a straight lane is changed into a left-turn lane or a left-turn and straight mixed lane, so that the queuing length of left-turn vehicles is reduced, and the left-turn traffic is increased; when the left-turn demand is continuously increased, the cloud computing platform optimizes and adjusts the release time of the traffic increase direction according to the traffic flow of each direction of the intersection, and the traffic jam pressure is relieved.
(2) When the wide area radar detector does not work normally and weather and road conditions are not good, monitoring is seriously affected in real time, the manual intervention control terminal processor 5 reads data of the database storage module and generates a control instruction through analysis of big data, if the average queuing length of a left-turn lane is greater than that of a straight lane and a right-turn lane by zero 5 minutes from 8 am within 2 months, the variable indication of the variable indication board in the time period is switched to a left-turn indication state, and a second lane which is originally a straight lane is changed into a left-turn lane or a left-turn and straight mixed lane so as to reduce the queuing length of left-turn vehicles and increase the left-turn traffic; if the average queuing number of the whole traffic flow of the left-turn lane is more than that of the straight or right-turn lane within 2 months before, from 7 pm to 7 pm for zero 5 minutes, the release period in the direction is adjusted in the time slot of the day, so that the vehicles in the left-turn lane pass preferentially, and the queuing length of the vehicles is reduced.
(3) When the maintenance and the update of the cloud computing platform are needed, the timing control program is edited and set on the timing control modules of the indicator controller and the front end signal indicator controller to carry out timing control on the variable indicator and the traffic signal indicator, for example, the left variable indicator indicates left turning and straight turning at set time intervals, the right variable indicator indicates straight turning and right turning at set time intervals, and the traffic lights of the traffic signal indicator change once at set time intervals, so that the influence of the deficiency of the cloud computing platform on the traffic flow control is overcome.
The invention realizes the transmission of remote data through network signals, reduces the time delay in the data transmission process and leads the traffic flow control to be timely and accurate; the invention can reasonably control the traffic flow by three control methods, and managers can freely switch the control methods according to requirements, so that the traffic flow control is not interfered by external environmental factors, and the crossing traffic efficiency is improved.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (8)
1. Variable lane traffic flow control system of intelligence based on big data, its characterized in that: the system comprises a wide area radar detector (1), a variable lane indicator (2) arranged behind a stop line, a traffic signal indicator (3) arranged in front of the stop line, a cloud computing platform (4) and a terminal processor (5) arranged in a control room, and further comprises a front end indicator controller (6) electrically connected with the variable lane indicator (2) and a front end signal indicator controller (7) electrically connected with the traffic signal indicator (3), wherein the wide area radar detector (1) is connected with the cloud computing platform (4) through a network, the cloud computing platform (4) is connected with the terminal processor (5) through RS232, and the terminal processor (5) is connected with the front end indicator controller (6) and the front end signal indicator controller (7) through a network;
the cloud computing platform (4) comprises a data receiving module, a data computing module, a temporary storage module, a database storage module and a data display module, wherein the data receiving module is used for receiving monitoring data of the wide-area radar detector (1), the data computing module is used for carrying out classified computation on the monitoring data according to time and types, the temporary storage module is used for storing real-time monitoring data, the database storage module is used for storing old monitoring data and forming a database, and the display module is used for displaying the classified monitoring data.
2. The big data based intelligent variable lane traffic control system according to claim 1, wherein: the variable lane indicating plate (2) sequentially comprises a left-turning fixed indication, a straight-going or left-turning variable indication, a plurality of straight-going fixed indications and a right-turning fixed indication from left to right, and the traffic signal indicating lamp (3) sequentially comprises a left-turning indicating lamp, a straight-going indicating lamp and a right-turning indicating lamp from left to right.
3. The big data based intelligent variable lane traffic control system according to claim 1, wherein: the wide area radar detector (1) is arranged on a cross arm rod of the variable lane indication board (2) in the incoming direction, has a horizontal distance from a stop line of not less than 50m, and is used for detecting the running speed, the traffic flow and the vehicle queuing length of vehicles in the range of 200m in the incoming direction of two lanes adjacent to the variable lane.
4. The big data based intelligent variable lane traffic control system according to claim 1, wherein: the variable lane indicator (2) is used for prompting the vehicle to select in advance and enter a corresponding left-turn, right-turn or straight lane, wherein the straight or left-turn variable indication of the variable lane indicator (2) is indicated through a variable indicator lamp, and the variable indicator lamp is controlled through a front end indicator controller (6).
5. The big data based intelligent variable lane traffic control system according to claim 1, wherein: the temporary storage module of the cloud computing platform (4) stores the data according to the sequence of data writing, and when the temporary storage module is full, the data stored firstly is automatically written into the database storage module; when the data of the temporary storage module of the cloud computing platform (4) is read, the latest stored data is preferably read.
6. The big data based intelligent variable lane traffic control system according to claim 1, wherein: when the monitoring data are classified and calculated according to time and categories, the time is divided into an early peak time period of 7-9 points, a late peak time period of 17-19 points and other time periods, and the categories are the average speed, the traffic flow and the queuing length of vehicles in all the time periods.
7. The big data based intelligent variable lane traffic control system according to claim 1, wherein: the terminal processor (5) is used for reading the storage data of the cloud computing platform (4) and generating a control instruction by processing the storage data; the front end indicator controller (6) and the front end signal indicator controller (7) are used for receiving a control instruction of the terminal processor (5) to control the variable indicator lamp and the traffic signal indicator lamp (3), timing control modules are arranged in the front end indicator controller (6) and the front end signal indicator lamp controller (7), and the variable indicator lamp and the traffic signal indicator lamp (3) can be controlled by editing time and action of timing control.
8. The intelligent variable lane traffic flow control method is characterized by comprising the following three steps:
A) the terminal processor (5) reads real-time data of the temporary storage module of the cloud computing platform (4) and processes the real-time data to generate a control instruction to control the variable indicator light and the traffic signal indicator light (3);
B) the terminal processor (5) reads database data of a database storage module of the cloud computing platform (4) and processes the database data to generate a control instruction to control the variable indicator light and the traffic signal indicator light (3);
C) the user directly edits and sets the timing control time of the timing control module in the indicator controller (6) and the front end signal indicator controller (7) and the indication actions of the corresponding time variable indicator lamp and the traffic signal indicator lamp (3).
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| CN114049761A (en) * | 2021-10-22 | 2022-02-15 | 江苏航天大为科技股份有限公司 | Intersection control method based on intelligent variable lane |
| CN114866564A (en) * | 2022-03-24 | 2022-08-05 | 煤炭工业合肥设计研究院有限责任公司 | Communication optimization method and device, electronic equipment and readable storage medium |
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