CN112967512A - Cross road traffic signal dynamic control method and system based on big data - Google Patents
Cross road traffic signal dynamic control method and system based on big data Download PDFInfo
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Abstract
The invention discloses a method and a system for dynamically controlling traffic signals at a crossroad based on big data, wherein the method comprises the following steps: respectively detecting the traffic flow of each lane of the intersection by using an annular coil detector to obtain traffic flow data corresponding to each lane; comparing the traffic flow data corresponding to each lane with the corresponding reference conduction data; when the traffic flow data exceeds the reference conduction data, the conduction traffic signals of the corresponding lanes are controlled to prolong the preset time in the next period, and the forbidden traffic signals of the rest lanes prolong the same preset time in the next period. The method overcomes the problems that in the prior art, the switching time of the traffic lights generally adopts fixed time or fixed time intervals are set at different time intervals, the red light forbidden time is overlong in the direction with large traffic flow at the intersection, and the green light time is lost in the direction with relatively few vehicles, so that the traffic jam at the intersection is easily caused.
Description
Technical Field
The invention relates to the technical field of traffic control, in particular to a method and a system for dynamically controlling traffic signals at a crossroad based on big data.
Background
Urban ground traffic control relies primarily on traffic lights, known as traffic lights. At present, in a domestic traffic light traffic control system, the switching time of traffic lights is generally fixed time or fixed time intervals are set in time-sharing mode, and the time intervals are manually adjusted by a traffic control department according to the traffic conditions of a certain road section or intersection. The conventional traffic signal control mode described above has disadvantages in that: the dynamic traffic light time interval cannot be adjusted according to real-time traffic conditions, the red light forbidden time is too long in the direction with large traffic flow at the intersection, the traffic jam is caused by a large amount of overstocked vehicles, the green light time is lost in the direction with relatively few vehicles and no vehicles, the problem of traffic jam at the intersection is easily caused, and the existing vehicle detection precision is poor, so that the traffic jam problem is further caused
Therefore, the invention provides a dynamic control method and a dynamic control system for traffic signals at intersections based on big data, which can automatically adjust the traffic signal lamps according to the real-time road conditions of the intersections during the use process, realize dynamic control of the signal lamps, ensure the traffic efficiency of the intersections, and reduce the traffic jam time of the intersections.
Disclosure of Invention
Aiming at the technical problems, the invention aims to overcome the problems that in the prior art, the switching time of the traffic lights is generally fixed time or fixed time intervals are set at different time intervals, the red light forbidden time in the direction with large traffic flow of the intersection is too long, a large amount of vehicles are overstocked to cause congestion, and the green light time is lost in the direction with relatively few vehicles and no vehicles, so that the traffic jam problem of the intersection is easily caused.
In order to achieve the above object, the present invention provides a method for dynamically controlling traffic signals at a crossroad based on big data, the method comprising:
respectively detecting the traffic flow of each lane of the intersection by using an annular coil detector to obtain traffic flow data corresponding to each lane;
comparing the traffic flow data corresponding to each lane with the corresponding reference conduction data; wherein,
and when the traffic flow data exceeds the reference conduction data, controlling the conduction traffic signals of the corresponding lanes to prolong the preset time in the next period, and prolonging the same preset time in the next period by the forbidden traffic signals of the rest lanes.
Preferably, the detecting the traffic flow of each lane of the intersection includes:
in the case where one lane is in the on period, the traffic flow data of the other lane is detected.
Preferably, after the loop coil detector is used to detect the traffic flow of each lane at the intersection, respectively, so as to obtain the traffic flow data corresponding to each lane, the method further includes:
the traffic flow data detected by the loop type coil detector is converted into a digital signal from an analog signal.
Preferably, the preset time is proportional to the number of loop coils receiving signals in the loop coil detector on the corresponding lane.
Preferably, the preset time is calculated according to the formula:
wherein t is a preset time in seconds,
the number of the loop coil receiving the signal in the loop coil detector.
The invention also provides a crossing traffic signal dynamic control system based on big data, the system includes:
the annular coil detector is used for respectively detecting the traffic flow of each lane at the intersection so as to obtain the traffic flow data corresponding to each lane;
the PLC is used for comparing the traffic flow data corresponding to each lane with the corresponding reference conduction data and controlling the traffic signal lamp according to the comparison result; wherein,
and when the traffic flow data exceeds the reference conduction data, controlling the conduction traffic signals of the corresponding lanes to prolong the preset time in the next period, and prolonging the same preset time in the next period by the forbidden traffic signals of the rest lanes.
Preferably, the loop type coil detector detects traffic data of one lane when the other lane is in the on period.
Preferably, the system further comprises:
and the A/D conversion module is arranged between the loop coil detector and the PLC and is used for converting the traffic flow data detected by the loop coil detector from analog signals into digital signals.
Preferably, the annular coil detector includes a plurality of sub-ground induction coils, the feed lines of the plurality of sub-ground induction coils on the same lane are connected to the same input port of the a/D conversion module, and the PLC controller reads the signals of the sub-ground induction coils one by one and accumulates the signals to obtain the traffic data corresponding to the lane.
Preferably, the calculation formula of the preset time dynamically controlled by the PLC controller is as follows:
wherein t is a preset time in seconds,
the number of the loop coil receiving the signal in the loop coil detector.
According to the technical scheme, the cross road traffic signal dynamic control method and the cross road traffic signal dynamic control system based on big data have the beneficial effects that: the annular coil detector is used for detecting the traffic flow of each lane, so that the relatively static traffic flow on the lane can be obtained, but not the relatively moving traffic flow, the applicability is better, and the purpose of relieving traffic pressure of the intersection by effectively and dynamically controlling traffic signals in the later period is facilitated.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a big data based dynamic control method for traffic signals at a crossroad according to a preferred embodiment of the present invention;
fig. 2 is a block diagram of a big data based intersection traffic signal dynamic control system provided in a preferred embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
In the present invention, unless otherwise specified, the directional words "upper, lower, inner, outer" and the like included in the terms merely represent the orientation of the terms in a conventional use state or are colloquially understood by those skilled in the art, and should not be construed as limiting the terms.
As shown in fig. 1, the present invention provides a method for dynamically controlling traffic signals at a crossroad based on big data, wherein the method comprises:
respectively detecting the traffic flow of each lane of the intersection by using an annular coil detector to obtain traffic flow data corresponding to each lane;
comparing the traffic flow data corresponding to each lane with the corresponding reference conduction data; wherein,
and when the traffic flow data exceeds the reference conduction data, controlling the conduction traffic signals of the corresponding lanes to prolong the preset time in the next period, and prolonging the same preset time in the next period by the forbidden traffic signals of the rest lanes.
In the scheme, the annular coil detector is used for detecting the traffic flow of each lane, so that the relatively static traffic flow on the lane can be obtained instead of the relatively moving traffic flow, the applicability is better, and the traffic flow detector is favorable for effectively and dynamically controlling traffic signals in the later period so as to achieve the purpose of relieving traffic pressure at the intersection; wherein,
the traffic flow conditions at the traffic intersection are complex, the accidental factors are many, and the traffic flow is sometimes in a flowing state and sometimes in a stagnation state under the influence of the traffic conditions. Therefore, the flow signal is collected in consideration of these problems. The signal control requirements of traffic intersections are comprehensively analyzed, and the time for conducting signals mainly aims at the waiting flow rather than the current flow, namely the traffic flow is in a relatively static state rather than a relatively moving flow. The annular coil detector used in the invention has the advantages of comprehensive detection function, large detection area, accurate and reliable detection data, high sensitivity, strong anti-interference capability and the like, and is beneficial to the effective dynamic control of traffic signals in the later period so as to achieve the purpose of relieving traffic pressure at intersections.
For the detection principle of the loop coil detector: the earth induction coil is connected in parallel with a capacitor with a certain value to form an oscillating circuit, and when the system is powered on, the system firstly generates an excitation pulse to be applied to the oscillating circuit to enable the oscillating circuit to start oscillating. When a vehicle passes through the ground induction coil, the ferromagnetic material at the bottom of the vehicle induces the annular coil, so that the inductance in the oscillation circuit is changed, the center frequency of the oscillation circuit is shifted, the peak voltage is reduced, and when the peak voltage change is greater than a predetermined threshold value, the vehicle passes through the area where the coil is located.
In a preferred embodiment of the present invention, the detecting the traffic flow of each lane at the intersection includes:
in the case where one lane is in the on period, the traffic flow data of the other lane is detected.
In the scheme, the detection method can ensure that the traffic in one group of directions is not interfered by the upward acquisition signals in the other group of directions, so as to keep the operation of the whole system stable and orderly.
In a preferred embodiment of the present invention, after the loop detector detects the traffic flow of each lane at the intersection to obtain the traffic flow data corresponding to each lane, the method further includes: the traffic flow data detected by the loop type coil detector is converted into a digital signal from an analog signal.
In the scheme, the ground sensing coil acquires an analog signal, so that the analog signal is converted into a digital signal through the A/D conversion module, and then the digital signal is transmitted to the PLC for analysis and processing so as to dynamically control the traffic signal at the intersection.
In a preferred embodiment of the present invention, the preset time is proportional to the number of loop coils receiving signals in the loop coil detector on the corresponding lane; wherein,
the calculation formula of the preset time is as follows:
wherein t is a preset time in seconds,
the number of the loop coil receiving the signal in the loop coil detector.
In the above scheme, it can be understood that the preset time is prolonged by 5s for each conduction of one coil.
As shown in fig. 2, the present invention also provides a system for dynamically controlling a traffic signal of an intersection based on big data, which comprises:
the annular coil detector is used for respectively detecting the traffic flow of each lane at the intersection so as to obtain the traffic flow data corresponding to each lane;
the PLC is used for comparing the traffic flow data corresponding to each lane with the corresponding reference conduction data and controlling the traffic signal lamp according to the comparison result; wherein,
and when the traffic flow data exceeds the reference conduction data, controlling the conduction traffic signals of the corresponding lanes to prolong the preset time in the next period, and prolonging the same preset time in the next period by the forbidden traffic signals of the rest lanes.
In the scheme, the annular coil detector is used for detecting the traffic flow of each lane, so that the relatively static traffic flow on the lane can be obtained instead of the relatively moving traffic flow, the applicability is better, and the purpose of relieving traffic pressure of the intersection by effectively and dynamically controlling traffic signals in the later period is facilitated.
In a preferred embodiment of the present invention, the loop type coil detector detects traffic data of one lane when the other lane is in the on period.
The detection method can ensure that the traffic in one group of directions is not interfered by the upward acquisition signals of the other group of directions so as to keep the operation of the whole system stable and orderly.
In a preferred embodiment of the present invention, the system further comprises:
and the A/D conversion module is arranged between the loop coil detector and the PLC and is used for converting the traffic flow data detected by the loop coil detector from analog signals into digital signals.
In the scheme, the ground sensing coil acquires an analog signal, so that the analog signal is converted into a digital signal through the A/D conversion module, and then the digital signal is transmitted to the PLC for analysis and processing so as to dynamically control the traffic signal at the intersection.
In a preferred embodiment of the present invention, the loop coil detector includes a plurality of sub ground induction coils, the feed lines of the plurality of sub ground induction coils on the same lane are connected to the same input port of the a/D conversion module, and the PLC controller reads the signals of the sub ground induction coils one by one and accumulates the signals to obtain the traffic data corresponding to the lane.
In the above scheme, because each coil of one end intersection in the same direction has time difference in acquiring vehicle information (the vehicle waits at the intersection and always arranges at a position close to the signal lamp first and extends backwards gradually), from the viewpoint of reducing equipment investment, the feeder lines of a plurality of coils of one end intersection in the same direction can be connected to the same man-conveying port of the a/D conversion module, and the PLC controller reads and accumulates the signals of each coil one by one.
In a preferred embodiment of the present invention, the preset time dynamically controlled by the PLC controller is calculated by the following formula:
wherein t is a preset time in seconds,
the number of the loop coil receiving the signal in the loop coil detector.
In summary, the method and system for dynamically controlling traffic signals at intersections based on big data provided by the invention overcome the problems that in the prior art, the switching time of traffic lights is generally fixed time or fixed time intervals are set at different time intervals, the red light forbidden time is too long in the direction with large traffic flow at the intersections, the traffic jam is caused by a large amount of overstocked vehicles, and the green light time is lost in the direction with relatively few vehicles and no vehicles, so that the traffic jam at intersections is easily caused.
The preferred embodiments of the present invention have been described in detail with reference to the accompanying drawings, however, the present invention is not limited to the specific details of the above embodiments, and various simple modifications can be made to the technical solution of the present invention within the technical idea of the present invention, and these simple modifications are within the protective scope of the present invention.
It should be noted that the various technical features described in the above embodiments can be combined in any suitable manner without contradiction, and the invention is not described in any way for the possible combinations in order to avoid unnecessary repetition.
In addition, any combination of the various embodiments of the present invention is also possible, and the same should be considered as the disclosure of the present invention as long as it does not depart from the spirit of the present invention.
Claims (10)
1. A cross road traffic signal dynamic control method based on big data is characterized by comprising the following steps:
respectively detecting the traffic flow of each lane of the intersection by using an annular coil detector to obtain traffic flow data corresponding to each lane;
comparing the traffic flow data corresponding to each lane with the corresponding reference conduction data; wherein,
and when the traffic flow data exceeds the reference conduction data, controlling the conduction traffic signals of the corresponding lanes to prolong the preset time in the next period, and prolonging the same preset time in the next period by the forbidden traffic signals of the rest lanes.
2. The big-data based dynamic control method for traffic signals at crossroads according to claim 1,
the detection of the traffic flow of each lane of the intersection comprises the following steps:
in the case where one lane is in the on period, the traffic flow data of the other lane is detected.
3. The dynamic control method for traffic signals at intersections based on big data as claimed in claim 1, wherein after the traffic flow of each lane at an intersection is detected by using the loop coil detector to obtain the traffic flow data corresponding to each lane, the method further comprises:
the traffic flow data detected by the loop type coil detector is converted into a digital signal from an analog signal.
4. The dynamic control method for traffic signals at intersections based on big data as claimed in claim 1, wherein the predetermined time is proportional to the number of loop coils receiving signals in the loop coil detector on the corresponding lane.
5. The big-data-based dynamic control method for traffic signals at crossroads according to claim 4, wherein the preset time is calculated by the formula:
wherein t is a preset time in seconds,
the number of the loop coil receiving the signal in the loop coil detector.
6. A big data based intersection traffic signal dynamic control system, the system comprising:
the annular coil detector is used for respectively detecting the traffic flow of each lane at the intersection so as to obtain the traffic flow data corresponding to each lane;
the PLC is used for comparing the traffic flow data corresponding to each lane with the corresponding reference conduction data and controlling the traffic signal lamp according to the comparison result; wherein,
and when the traffic flow data exceeds the reference conduction data, controlling the conduction traffic signals of the corresponding lanes to prolong the preset time in the next period, and prolonging the same preset time in the next period by the forbidden traffic signals of the rest lanes.
7. The big-data based intersection traffic signal dynamic control system of claim 6,
the loop-type coil detector detects traffic flow data of one lane when the other lane is in a conducting period.
8. The big-data based intersection traffic signal dynamic control system of claim 6, further comprising:
and the A/D conversion module is arranged between the loop coil detector and the PLC and is used for converting the traffic flow data detected by the loop coil detector from analog signals into digital signals.
9. The intersection traffic signal dynamic control system based on big data of claim 8, characterized in that the loop coil detector comprises a plurality of sub-ground induction coils, the feed lines of the plurality of sub-ground induction coils on the same lane are connected to the same input port of the a/D conversion module, and the PLC controller reads the signals of the sub-ground induction coils one by one and accumulates them to obtain the traffic data corresponding to the lane.
10. The intersection traffic signal dynamic control system based on big data of claim 6, characterized in that the preset time of the PLC controller dynamic control is calculated by the formula:
wherein t is a preset time in seconds,
the number of the loop coil receiving the signal in the loop coil detector.
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