1. A traffic signal lamp control and illegal parking detection system based on ground induction coils is characterized by comprising a traffic signal lamp control subsystem at a crossroad, a plurality of ground induction monitoring subsystems and a traffic data center; the intersection traffic signal lamp control subsystem comprises a central control module, a data storage module, a traffic signal lamp group, a ZigBee ad hoc network module and a 5G communication module, wherein the data storage module, the traffic signal lamp group, the ZigBee ad hoc network module and the 5G communication module are connected with the central control module; each ground induction monitoring subsystem comprises a ground induction coil group, a monitoring camera group and a ZigBee ad hoc network module; the ZigBee ad hoc network modules are mutually connected to form a network taking the intersection traffic signal lamp control subsystem as the center; and the traffic data center is connected with the traffic signal lamp control subsystems of the intersections through the 5G communication module.

2. The ground induction coil-based traffic signal lamp control and violation detection system according to claim 1, wherein said central control module comprises a central processor, a memory, and peripheral circuitry; the central control module is used for receiving and processing ground sensing coil group signals, controlling the timing of road traffic signal lamp groups, controlling the monitoring camera group to shoot and photograph, and uploading the content of shooting and photographing of the monitoring camera group to a traffic data center through the 5G communication module.

3. The system as claimed in claim 1, wherein the ground induction coil group comprises a plurality of ground induction coils, and the adjacent coils under each lane are separated by a fixed distance and installed under the lanes of the main and branch roads for sensing whether there is a vehicle above.

4. The system for controlling a traffic signal lamp and detecting illegal parking based on a ground induction coil according to claim 1 is characterized in that the ZigBee ad hoc network module comprises a single chip microcomputer and has embedded control capability, the ZigBee ad hoc network module detects the number of vehicles on a road and the parking time of the vehicles through the connected ground induction coil, the detection method is completed according to the requirements of a traffic signal lamp timing method based on ground induction coil vehicle detection and a vehicle illegal parking detection method based on the ground induction coil, and the results are sent to the central control module.

5. The system for controlling the traffic signal lamp and detecting the illegal parking based on the ground induction coil according to claim 1, wherein the monitoring camera group receives a control command sent by the central control module through the ZigBee ad hoc network module, carries out camera shooting and picture taking on vehicles on the road, and sends the camera shooting and picture taking contents to the central control module through the ZigBee ad hoc network module.

6. The traffic signal lamp timing method of the traffic signal lamp control and violation detection system based on the ground induction coil as set forth in claim 1, comprising the steps of:

step one, in a normal state, traffic signal lamps on trunk roads keep green lamps, and traffic signal lamps on branch roads keep red lamps; the central control module continuously monitors through a ground sensing monitoring subsystem deployed on a trunk roadThe main road traffic flow and the induction density rho of the main road traffic flow in the past T0 time are saved_{Dry matter}，ρ_{Dry matter}Is calculated as rho_{Dry matter}＝C_L/T0,C_LRepresenting the sum of the number of vehicles sensed by all the ground sensing coils at the past T0 time on the trunk line with the length L;

secondly, the central control module acquires that vehicles on the branch road need to pass through the crossroad through the ground sense monitoring subsystem deployed on the branch road, starts calculation of the waiting weight W of the branch road and obtains the waiting weight W of the branch road_{Branch stand}Is calculated by the method W_{Branch stand}＝λ_{Branch stand}×N_{Branch stand}×2^TwWherein the weight coefficient of the branch line is lambda_{Branch stand}Is a constant number, N_{Branch stand}Tw is the waiting time of the vehicle with the longest waiting time in the current waiting vehicles of the branch line;

step three, the central control module monitors the number NUM of vehicles on the trunk road with the length of L on the current trunk line through the ground sense monitoring subsystem deployed on the trunk road_L；

Step four, taking a constant sigma as a main line vehicle flow judgment coefficient, and when sigma is less than rho_{Dry matter}/NUM_LIf not, executing the step five;

step five, calculating the waiting weight W of the trunk road_{Dry matter}The calculation method is W_{Dry matter}＝λ_{Dry matter}×NUM_LWherein the trunk weighting factor λ_{Dry matter}Is a constant;

step six, comparing W_{Dry matter}And W_{Branch stand}A value of (A) if W_{Dry matter}＜W_{Branch stand}Executing step seven, otherwise updating W_{Dry matter}And W_{Branch stand}Re-executing step six;

step seven, changing the traffic signal lamp of the main road into a yellow lamp and starting a countdown T_{Yellow colour}When the countdown returns to zero, the traffic lights on the trunk roads are changed to red lights, and the traffic lights on the branch roads are changed to green lights.

7. The method for detecting vehicle illegal parking of traffic signal lamp control and illegal parking detection system based on ground induction coil of claim 1 is characterized by comprising the following steps:

step one, determining T_{Violation of the design rule}、T_{Monitor for}、C_{Monitor for}Values of three parameters, where T_{Violation of the design rule}Indicating the time, T, at which the filming was initiated after the road was stopped_{Monitor for}Interval time C representing a plurality of times of photographing_{Monitor for}Indicating the number of times of shooting;

step two, detecting whether a vehicle exists on a road by the ground induction coil, if no vehicle exists, repeating the step two, and if a vehicle exists, starting a timer T;

step three, the ground induction coil continuously judges whether the ground vehicle stays, if the vehicle leaves, the step two is returned, and if the vehicle stays on the ground induction coil continuously, the timer T is more than or equal to T_{Violation of the design rule}When the vehicle is parked on the ground induction coil, starting a camera corresponding to the ground induction coil in the monitoring camera group, taking pictures and shooting the vehicle, wherein image data comprise a timestamp, and setting a counter N to be 1; resetting the timer, continuously judging whether the ground vehicle stays by the ground induction coil, if the vehicle leaves, returning to the step two, and if the vehicle stays on the ground induction coil continuously, the timer T is more than or equal to T_{Monitor for}When the vehicle is shot, the camera corresponding to the ground induction coil in the monitoring camera group is started, the vehicle staying on the ground induction coil is shot and photographed, the image data contains a timestamp, the counter N is added by 1, and if the counter N is larger than or equal to C_{Monitor for}If yes, turning to the step four, otherwise, re-executing the step three;

and fourthly, the ground sensing monitoring subsystem transmits the photographing and shooting data to the central control module through the ZigBee ad hoc network module and then transmits the photographing and shooting data to the traffic data center through the 5G communication module.

Background

The existing urban and rural junction roads and rural roads are often provided with small branch roads which penetrate through a trunk road, the traffic flow of the small branch roads is rare at ordinary times, and various illegal parking is also often caused; the current processing method is that in the timing of traffic lights, fixed delay timing is adopted, most of the passing time is used for the passing of trunk roads, and branch roads are released in a short time at fixed time, so that the method not only reduces the actual passing time of the trunk roads due to the release time of invalid branch roads, but also prolongs the waiting time of branch passing vehicles; aiming at illegal parking, a method that a traffic police opens a ticket irregularly is adopted for processing, so that the burden of the traffic police is increased, and the illegal parking cannot be effectively managed.

Disclosure of Invention

The purpose of the invention is as follows: the first purpose of the present invention is to provide a traffic signal lamp control and illegal parking detection system based on a ground induction coil, and the first purpose of the present invention is to provide a corresponding traffic signal lamp timing method and a vehicle illegal parking detection method according to the system.

The technical scheme is as follows: the invention relates to a traffic signal lamp control and illegal parking detection system based on a ground induction coil, which comprises an intersection traffic signal lamp control subsystem, a plurality of ground induction monitoring subsystems and a traffic data center, wherein the intersection traffic signal lamp control subsystem is connected with the ground induction monitoring subsystems; the intersection traffic signal lamp control subsystem comprises a central control module, a data storage module, a traffic signal lamp group, a ZigBee ad hoc network module and a 5G communication module, wherein the data storage module, the traffic signal lamp group, the ZigBee ad hoc network module and the 5G communication module are connected with the central control module; each ground induction monitoring subsystem comprises a ground induction coil group, a monitoring camera group and a ZigBee ad hoc network module; the ZigBee ad hoc network modules are mutually connected to form a network taking the intersection traffic signal lamp control subsystem as the center; and the traffic data center is connected with the traffic signal lamp control subsystems of the intersections through the 5G communication module.

Further, the central control module comprises a central processing unit, a memory and a peripheral circuit; the central control module is used for receiving and processing ground sensing coil group signals, controlling the timing of road traffic signal lamp groups, controlling the monitoring camera group to shoot and photograph, and uploading the content of shooting and photographing of the monitoring camera group to a traffic data center through the 5G communication module.

Furthermore, the ground induction coil group consists of a plurality of ground induction coils, and adjacent coils under each lane are arranged under the main line and the branch road lanes at a fixed distance and used for sensing whether vehicles are arranged above the main line and the branch road lanes.

Furthermore, the ZigBee self-networking module comprises a single chip microcomputer and has embedded control capability, the ZigBee self-networking module detects the number of vehicles on a road and the stay time of the vehicles through the connected ground induction coils, the detection method is completed according to the requirements of a traffic signal lamp timing method based on ground induction coil vehicle detection and a vehicle illegal parking detection method based on the ground induction coils, and the results are sent to the central control module.

Furthermore, the monitoring camera group receives a control instruction sent by the central control module through the ZigBee ad hoc network module, carries out camera shooting and photographing on vehicles on the road, and sends the camera shooting and photographing contents to the central control module through the ZigBee ad hoc network module.

The invention discloses a traffic signal lamp timing method of a traffic signal lamp control and illegal parking detection system based on a ground induction coil, which comprises the following steps:

step one, in a normal state, traffic signal lamps on trunk roads keep green lamps, and traffic signal lamps on branch roads keep red lamps; the central control module continuously monitors the traffic flow of the trunk road through the ground sensing monitoring subsystem deployed on the trunk road and stores the induction density rho of the traffic flow of the trunk road in the past T0 time_{Dry matter}，ρ_{Dry matter}Is calculated as rho_{Dry matter}＝C_L/T0,C_LRepresenting the sum of the number of vehicles sensed by all the ground sensing coils at the past T0 time on the trunk line with the length L;

secondly, the central control module acquires that vehicles on the branch road need to pass through the crossroad through the ground sense monitoring subsystem deployed on the branch road, starts calculation of the waiting weight W of the branch road and obtains the waiting weight W of the branch road_{Branch stand}Is calculated by the method W_{Branch stand}＝λ_{Branch stand}×N_{Branch stand}×2^TwWherein the weight coefficient of the branch line is lambda_{Branch stand}Is a constant number, N_{Branch stand}Tw is the waiting time of the vehicle with the longest waiting time in the current waiting vehicles of the branch line;

step three, the central control module monitors the number NUM of vehicles on the trunk road with the length of L on the current trunk line through the ground sense monitoring subsystem deployed on the trunk road_L；

Step four, taking a constant sigma as a main line vehicle flow judgment coefficient, and when sigma is less than rho_{Dry matter}/NUM_LIf not, executing the step five;

step five, calculating the waiting weight W of the trunk road_{Dry matter}The calculation method is W_{Dry matter}＝λ_{Dry matter}×NUM_LWherein the trunk weighting factor λ_{Dry matter}Is a constant;

step six, comparing W_{Dry matter}And W_{Branch stand}A value of (A) if W_{Dry matter}＜W_{Branch stand}Executing step seven, otherwise updating W_{Dry matter}And W_{Branch stand}Re-executing step six;

step seven, changing the traffic signal lamp of the main road into a yellow lamp and starting a countdown T_{Yellow colour}When the countdown returns to zero, the traffic signal lamp on the trunk road changesThe red light is changed, and the branch road traffic signal light is changed into the green light.

The invention discloses a vehicle illegal parking detection method of a traffic signal lamp control and illegal parking detection system based on a ground induction coil, which comprises the following steps:

step one, determining T_{Violation of the design rule}、T_{Monitor for}、C_{Monitor for}Values of three parameters, where T_{Violation of the design rule}Indicating the time, T, at which the filming was initiated after the road was stopped_{Monitor for}Interval time C representing a plurality of times of photographing_{Monitor for}Indicating the number of times of shooting;

step two, detecting whether a vehicle exists on a road by the ground induction coil, if no vehicle exists, repeating the step two, and if a vehicle exists, starting a timer T;

step three, the ground induction coil continuously judges whether the ground vehicle stays, if the vehicle leaves, the step two is returned, and if the vehicle stays on the ground induction coil continuously, the timer T is more than or equal to T_{Violation of the design rule}When the vehicle is parked on the ground induction coil, starting a camera corresponding to the ground induction coil in the monitoring camera group, taking pictures and shooting the vehicle, wherein image data comprise a timestamp, and setting a counter N to be 1; resetting the timer, continuously judging whether the ground vehicle stays by the ground induction coil, if the vehicle leaves, returning to the step two, and if the vehicle stays on the ground induction coil continuously, the timer T is more than or equal to T_{Monitor for}When the vehicle is shot, the camera corresponding to the ground induction coil in the monitoring camera group is started, the vehicle staying on the ground induction coil is shot and photographed, the image data contains a timestamp, the counter N is added by 1, and if the counter N is larger than or equal to C_{Monitor for}If yes, turning to the step four, otherwise, re-executing the step three;

and fourthly, the ground sensing monitoring subsystem transmits the photographing and shooting data to the central control module through the ZigBee ad hoc network module and then transmits the photographing and shooting data to the traffic data center through the 5G communication module.

Has the advantages that: compared with the prior art, the invention has the following remarkable advantages: the configuration and switching of the traffic signal lamp are based on the result of the ground induction coil vehicle detection, and the traffic signal lamp timing method based on the ground induction coil vehicle detection is used for switching the traffic signal lamp of the road based on two judgment results, wherein one is that the number of vehicles to be passed on the current trunk road is far lower than the average level in the early stage, and the other is that the weight formed by the number of vehicles waiting on the branch roads and the waiting time exceeds the weight of the vehicles to be passed on the trunk road, so that the low efficiency caused by the fixed timing of the traffic signal lamp is effectively avoided; meanwhile, a system formed by detecting a plurality of small ground induction coils and monitoring videos is combined by adopting an ad hoc network to form a large network, so that illegal parking can be effectively monitored, the human resources of traffic police are saved, and the system can be used as a ring of a smart city Internet of things architecture and is integrated into a smart city.

Drawings

Fig. 1 is a schematic structural diagram of each module of the present invention.

Detailed Description

The technical scheme of the invention is further explained by combining the attached drawings.

As shown in fig. 1, the traffic signal lamp control and illegal parking detection system based on the ground induction coil of the invention comprises an intersection traffic signal lamp control subsystem, a plurality of ground induction monitoring subsystems, a traffic data center, a traffic signal lamp timing method based on ground induction coil vehicle detection, and a vehicle illegal parking detection method based on ground induction coil; the intersection traffic signal lamp control subsystem comprises a central control module, a data storage module, a traffic signal lamp group, a ZigBee ad hoc network module and a 5G communication module; the ground sense monitoring subsystems are numbered from a ground sense monitoring subsystem-1 to a ground sense monitoring subsystem-N, and each ground sense monitoring subsystem comprises a ground sense coil group, a monitoring camera group and a ZigBee ad hoc network module; the ZigBee ad hoc network modules are mutually connected to form a network taking the intersection traffic signal lamp control subsystem as the center; the traffic data center is connected with the traffic signal lamp control subsystems of all intersections through the 5G communication module, and data of all intersections are managed in a centralized mode, so that the traffic signal lamp control and the illegal parking detection system based on the ground induction coil can be remotely controlled.

The central control module comprises a central processing unit, a memory and a peripheral circuit, is connected with the data storage module, the traffic signal lamp group, the ZigBee ad hoc network module and the 5G communication module, and is used for receiving and processing the ground sensing coil group signal, controlling the road traffic signal lamp group timing, controlling the monitoring camera group to shoot and shoot, and uploading the content shot and shot by the monitoring camera group to the traffic data center through the 5G communication module.

The road traffic signal lamp group is arranged at a road intersection, is connected with the central control module and is responsible for controlling the traffic of trunk roads and branch roads.

The ground induction monitoring subsystem comprises a ground induction coil group, a monitoring camera group and a ZigBee ad hoc network module; the ground induction coil group consists of a plurality of ground induction coils, and adjacent coils under each lane are separated by a fixed distance and are arranged below the lanes of the trunk and branch roads for inducing whether vehicles exist above the lanes; the ZigBee self-networking module comprises a single chip microcomputer and has embedded control capability, the ZigBee self-networking module detects the number of vehicles on a road and the stay time of the vehicles through a ground induction coil connected with the ZigBee self-networking module, the detection method is completed according to the requirements of a traffic signal lamp timing method based on ground induction coil vehicle detection and a vehicle illegal parking detection method based on the ground induction coil, and the result is sent to the central control module; the monitoring camera group receives a control instruction sent by the central control module through the ZigBee ad hoc network module, carries out camera shooting and picture taking on vehicles on the road, and sends the camera shooting and picture taking contents to the central control module through the ZigBee ad hoc network module.

1. A traffic signal lamp timing method based on ground induction coil vehicle detection comprises the following steps:

firstly, in a normal state, traffic signal lamps on trunk roads keep green lamps, and traffic signal lamps on branch roads keep red lamps; the central control module continuously monitors the traffic flow of the trunk road through the ground sensing monitoring subsystem deployed on the trunk road and stores the induction density rho of the traffic flow of the trunk road in the past T0 time_{Dry matter}，ρ_{Dry matter}Is calculated as rho_{Dry matter}＝C_L/T0,C_LRepresenting the sum of the number of vehicles sensed by all the ground sensing coils at the past T0 time on the trunk line with the length L;

secondly, the central control module acquires that vehicles on the branch road need to pass through the crossroad through the ground sensing monitoring subsystem arranged on the branch road, and starts the branch roadCalculating the waiting weight W of the branch road_{Branch stand}Is calculated by the method W_{Branch stand}＝λ_{Branch stand}×N_{Branch stand}×2^TwWherein the weight coefficient of the branch line is lambda_{Branch stand}Is a constant number, N_{Branch stand}Tw is the waiting time of the vehicle with the longest waiting time in the current waiting vehicles of the branch line;

thirdly, the central control module monitors the number NUM of vehicles on the trunk road with the length of L on the current trunk line through a ground sense monitoring subsystem deployed on the trunk road_L；

Fourthly, taking a constant sigma as a main line vehicle flow judgment coefficient, and when sigma is less than rho_{Dry matter}/NUM_LExecuting the seventh step, otherwise executing the fifth step;

fifthly, calculating the waiting weight W of the trunk road_{Dry matter}The calculation method is W_{Dry matter}＝λ_{Dry matter}×NUM_LWherein the trunk weighting factor λ_{Dry matter}Is a constant;

sixth, compare W_{Dry matter}And W_{Branch stand}A value of (A) if W_{Dry matter}＜W_{Branch stand}Executing the seventh step, otherwise updating W_{Dry matter}And W_{Branch stand}Re-executing the sixth step;

seventhly, changing the traffic signal lamp of the main road into a yellow lamp and starting a countdown T_{Yellow colour}When the countdown returns to zero, the traffic lights on the trunk roads are changed to red lights, and the traffic lights on the branch roads are changed to green lights.

2. The vehicle illegal parking detection method based on the ground induction coil comprises the following steps:

first, determine T_{Violation of the design rule}、T_{Monitor for}、C_{Monitor for}Values of three parameters, where T_{Violation of the design rule}Indicating the time, T, at which the filming was initiated after the road was stopped_{Monitor for}Interval time C representing a plurality of times of photographing_{Monitor for}Indicating the number of times of shooting;

secondly, detecting whether a vehicle exists on the road by the ground induction coil, if no vehicle exists, repeating the second step, and if a vehicle exists, starting a timer T;

thirdly, the ground induction coil continuously judges whether the ground vehicle stops or notIf the vehicle leaves, the step returns, if the vehicle stays on the ground induction coil continuously, the timer T is more than or equal to T_{Violation of the design rule}When the vehicle is parked on the ground induction coil, starting a camera corresponding to the ground induction coil in the monitoring camera group, taking pictures and shooting the vehicle, wherein image data comprise a timestamp, and setting a counter N to be 1; resetting the timer, continuously judging whether the ground vehicle stays by the ground induction coil, if the vehicle leaves, returning to the second step, and if the vehicle stays on the ground induction coil continuously, the timer T is more than or equal to T_{Monitor for}When the vehicle is shot, the camera corresponding to the ground induction coil in the monitoring camera group is started, the vehicle staying on the ground induction coil is shot and photographed, the image data contains a timestamp, the counter N is added by 1, and if the counter N is larger than or equal to C_{Monitor for}If so, switching to the fourth step, otherwise, re-executing the third step;

and fourthly, the ground-sensing monitoring subsystem transmits the photographing and shooting data to the central control module through the ZigBee ad hoc network module and then transmits the photographing and shooting data to the traffic data center through the 5G communication module.