Road signal holographic optimization control system based on SCATS system

Abstract

The invention provides a road signal holographic optimization control system based on an SCATS system, and relates to the technical field of traffic control, the control system comprises a roadside sensing module, the roadside sensing module is arranged at one side of a road intersection, and the roadside sensing module is configured to obtain traffic data of a current road; the model construction module is configured to construct a traffic optimization model according to the traffic data; and the scheme generation and issuing module is configured to import real-time traffic data of a current road into the traffic optimization model so as to generate a road optimization scheme, and the road optimization scheme is used for controlling a corresponding traffic signal controller based on the SCATS system. Through the control system, the problem that an SCATS system at the present stage cannot singly overcome traffic state control at the present stage is solved.

Description

Technical Field

[0001] This invention relates to the field of traffic control technology, and in particular to a road signal holographic optimization control system based on the SCATS system. Background Technology

[0002] SCATS (Sydney Coordinated Adaptive Traffic System) is an automated control system for road traffic signals. From the perspectives of system design philosophy and practical application, SCATS boasts advantages such as comprehensive functionality and flexible control methods. For these reasons, SCATS has gained widespread use worldwide. However, due to its early release date, it can no longer meet the optimization requirements based on current traffic flow.

[0003] Holographic traffic signal optimization control is a novel road signal control mode. This mode relies on data collected by roadside optimization sensing units, and uses big data models, data mining, and artificial intelligence calculations to predict traffic conditions. It can perform real-time optimization of signals across multiple dimensions, from points to lines and from lines to surfaces. Therefore, the solution integrating holographic traffic signal optimization control and the SCATS system is highly efficient.

[0004] However, due to the limitations of the current SCATS system in actual optimization scenarios, using the current SCATS system to overcome the current traffic conditions results in insufficient quantitative evaluation and prediction. Summary of the Invention

[0005] This application provides a road signal holographic optimization control system based on the SCATS system to solve the problem that the current SCATS system cannot overcome the current traffic state control problem on its own.

[0006] The control system includes:

[0007] A roadside sensing module is installed on one side of a road intersection and is configured to acquire current road traffic data.

[0008] A model building module, configured to build a traffic optimization model based on the traffic data;

[0009] The scheme generation and distribution module is configured to import real-time traffic data of the current road into the traffic optimization model to generate a road optimization scheme, which is used to control the corresponding traffic signal controller based on the SCATS system.

[0010] Preferably, the roadside sensing module is further configured as follows:

[0011] Get current road condition information;

[0012] The traffic information is preprocessed to obtain the traffic data, which includes queue lengths in multiple directions, average speed of road segments, and current phase congestion status.

[0013] Preferably, the model building module is further configured as follows:

[0014] When vehicles in the current direction of traffic flow at the intersection are queuing, the operating status parameters of the corresponding traffic signal controller are obtained.

[0015] Phase flow optimization parameters are generated based on the operating status parameters and the traffic data;

[0016] The scheme generation and distribution module is also configured to send the road optimization scheme and the phase flow optimization parameters, which are used to extend or shorten the release time of the traffic signal controller, to the corresponding traffic signal controller.

[0017] The traffic signal controller is configured to extend or shorten the release time based on the phase control logic of the SCATS system and the road optimization scheme and the phase flow optimization parameters.

[0018] Preferably, the road optimization scheme includes several real-time optimization parameters and scheme optimization parameters;

[0019] The scheme generation and distribution module is further configured to select the real-time optimization parameters in the road optimization scheme based on the phase flow optimization parameters, and send the selected real-time optimization parameters and the phase flow optimization parameters to the traffic signal controller;

[0020] The traffic signal controller is also configured to adjust the release time based on the real-time optimization parameters and the phase flow optimization parameters, and based on the phase protection mechanism in the SCATS system.

[0021] Preferably, the roadside perception module is further configured to acquire target traffic data of the current road and upstream and downstream roads under different real-time optimization parameters, wherein the data type of the target traffic data is the same as the data type of the traffic data;

[0022] The model building module is also configured to:

[0023] The target traffic data is evaluated and scored to obtain a traffic operation score;

[0024] The system then determines whether to continue executing the corresponding real-time optimization parameters based on the traffic operation score.

[0025] Preferably, the model building module is further configured as follows:

[0026] Determine whether the traffic operation score meets the preset requirements;

[0027] If so, continue to execute the corresponding real-time optimization parameters;

[0028] If not, the traffic optimization model is adjusted using the optimization parameters of the proposed scheme to obtain an improved traffic optimization model.

[0029] Preferably, the scheme generation and distribution module is further configured as follows:

[0030] The real-time traffic data of the current road is imported into the improved traffic optimization model to obtain an improved road optimization scheme, which includes several real-time optimization parameters and scheme optimization parameters.

[0031] The real-time optimization parameters in the improved road optimization scheme are selected based on the current phase flow optimization parameters of the road.

[0032] The selected real-time optimization parameters and the phase flow optimization parameters are sent to the traffic signal controller;

[0033] The traffic signal controller is also configured to adjust the release time in the next cycle based on the real-time optimization parameters and the phase flow optimization parameters and the phase protection mechanism in the SCATS system.

[0034] Preferably, the control system further includes a data storage module configured to store, in chronological order, the traffic data of the current road, the real-time optimization parameters executed in the current time sequence, and the traffic operation score of the traffic data when the real-time optimization parameters are executed.

[0035] Preferably, the scheme generation and distribution module is further configured to send a preset normalized scheme to the traffic signal controller when there is no vehicle queuing on the current road.

[0036] The traffic signal controller controls the lighting time of the traffic lights according to the normalized scheme.

[0037] Preferably, the roadside sensing module is further configured to acquire traffic data of the next phase lane when there is an empty lane in the current road.

[0038] The scheme generation and distribution module is also configured to:

[0039] Determine whether there is a queue in the next phase lane based on the traffic data of the next phase lane;

[0040] If so, the real-time optimization parameters used to shorten the current road clearance time are sent to the traffic signal controller.

[0041] As described above, this application provides a road signal holographic optimization control system based on the SCATS system. The control system includes a roadside sensing module located on one side of a road intersection, configured to acquire current road traffic data; a model building module configured to construct a traffic optimization model based on the traffic data; and a scheme generation and distribution module configured to import real-time traffic data of the current road into the traffic optimization model to generate a road optimization scheme. This road optimization scheme is used to control the corresponding traffic signal controller based on the SCATS system. This application solves the problem that the current SCATS system cannot effectively address current traffic state control issues through this control system. Attached Figure Description

[0042] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0043] Figure 1 This is a schematic diagram of a road signal holographic optimization control system based on the SCATS system proposed in this application. Detailed Implementation

[0044] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0045] Figure 1 This is a schematic diagram of a road signal holographic optimization control system based on the SCATS system proposed in this application.

[0046] See Figure 1 As can be seen, this embodiment provides a road signal holographic optimization control system for an SCATS system. The control system includes a roadside sensing module 100, which is set on one side of a road intersection. The roadside sensing module 100 is configured to acquire traffic data of the current road. Specifically, in this embodiment, the roadside sensing module 100 is set on both sides of the road to be detected, so as to acquire the traffic data of the corresponding road.

[0047] Furthermore, in some embodiments, the roadside perception module 100 is also configured to acquire current road condition information; preprocess the road condition information to obtain traffic data, the traffic data including multi-directional queue length, average road segment speed, and current phase congestion status. Specifically, in this embodiment, the roadside perception module 100 needs to first acquire current road condition information, wherein the road condition information can be regarded as video images, and the road condition information includes historical road condition images and real-time road condition images of the road. However, the efficiency of using video image data to train subsequent models is very low and the training is difficult. Therefore, it is necessary to preprocess the road condition information to convert the data in the form of video images into traffic data in the form of parameters.

[0048] For example, the road condition information is acquired by a forward radar built into the roadside sensing module 100, and the road condition information may also be a road image.

[0049] For example, the roadside sensing module 100 captures real-time images of the corresponding intersection and extracts historical images of the corresponding intersection. After preprocessing the real-time images and historical images, the traffic data is obtained.

[0050] The traffic data includes multi-directional queue length, average speed of road segment, and current phase congestion status. The multi-directional queue length, average speed of road segment, and current phase congestion status are all parameter data obtained based on the traffic information.

[0051] It should be noted that, depending on the specific needs, historical images of the corresponding intersection for the corresponding time period can be extracted.

[0052] The control system further includes a model building module 200, which is configured to build a traffic optimization model based on the traffic data. Specifically, in this embodiment, the model building module 200 is used to build a traffic optimization model based on the traffic data and use the traffic optimization model to optimize the vehicle release scheme of the corresponding intersection and adjacent intersections.

[0053] It should be noted that the traffic optimization model is constructed with parameters. Therefore, the traffic optimization model can be changed under different parameters and different traffic conditions to further improve the optimization efficiency of vehicle release schemes.

[0054] For example, the roadside perception module 100 sends the traffic data of the corresponding intersection to the model building module 200. The model building module 200 builds an initial traffic optimization model based on the traffic data. As the overall system running time and traffic conditions change, the traffic optimization model built by the model building module 200 is continuously optimized.

[0055] The control system further includes a scheme generation and distribution module 300, which is configured to import real-time traffic data of the current road into the traffic optimization model to generate a road optimization scheme. The road optimization scheme is used to control the corresponding traffic signal controller 400 based on the SCATS system. Specifically, in this embodiment, the scheme generation and distribution module 300 is used to generate a road optimization scheme based on the real-time traffic data of the current road and the traffic optimization model, and then control the corresponding traffic signal controller 400 based on the SCATS system. The SCATS system can be regarded as a management system for traffic lights.

[0056] Since the generation of the scheme is continuous, but the vehicle release scheme does not necessarily need to be adjusted at all times, the scheme generation and distribution module 300 can provide multiple different schemes for each time stage of the corresponding intersection by taking advantage of the difference between the number of schemes generated and the number of schemes implemented. The optimal scheme is selected as the implementation scheme for adjusting vehicle release. This not only meets the needs of adjusting vehicle release, but also continuously optimizes each scheme to adapt to the vehicle release situation of the corresponding intersection under different circumstances.

[0057] Furthermore, in some embodiments, the model building module 200 is also configured to acquire the operating status parameters of the traffic signal controller 400 when vehicles in the current intersection's traffic flow direction are queuing; and generate phase flow optimization parameters based on the operating status parameters and the traffic data.

[0058] The scheme generation and distribution module 300 is further configured to send the road optimization scheme and the phase flow optimization parameters for extending or shortening the release time of the traffic signal controller to the corresponding traffic signal controller 400; the traffic signal controller 400 is configured to extend or shorten the release time based on the phase control logic of the SCATS system and according to the road optimization scheme and the phase flow optimization parameters.

[0059] Specifically, in this embodiment, when a queue occurs at the corresponding intersection, the model building module 200 obtains the operating status parameters of the traffic signal controller 400 at the corresponding intersection, and generates phase flow optimization parameters based on the operating status parameters and the traffic data. The operating status parameters can be understood as the current display status of the traffic lights, i.e., whether it is currently a red light or a street light, and how long it will take for the red or green light to change. The model building module 200 coordinates the relationship between the road conditions and the traffic lights to obtain the phase flow optimization parameters.

[0060] After obtaining the phase flow optimization parameters, the corresponding road optimization scheme is selected by the scheme generation and distribution module 300 and sent to the traffic signal controller 400 in conjunction with the phase flow optimization parameters. The traffic signal controller 400 adjusts the time for releasing vehicles under the joint coordination of the road optimization scheme and the phase flow optimization parameters.

[0061] The road optimization scheme generated and distributed by the scheme generation and distribution module 300 must conform to the SCATS model protocol.

[0062] Furthermore, in some embodiments, the road optimization scheme includes several real-time optimization parameters and scheme optimization parameters; the scheme generation and distribution module 300 is also configured to select the real-time optimization parameters in the road optimization scheme according to the phase flow optimization parameters, and send the selected real-time optimization parameters and the phase flow optimization parameters to the traffic signal controller 400;

[0063] The traffic signal controller 400 is also configured to adjust the release time based on the real-time optimization parameters and the phase flow optimization parameters, and based on the phase protection mechanism in the SCATS system.

[0064] Specifically, in this embodiment, due to the difference between the number of schemes generated and the number of schemes implemented, there are multiple schemes for each intersection at each time point. These multiple schemes are manifested as multiple real-time optimization parameters and scheme optimization parameters. The scheme generation and distribution module 300 selects the optimal one among the multiple schemes, that is, the optimal real-time optimization parameters, and sends the selected real-time optimization parameters and the phase flow optimization parameters to the traffic signal controller 400.

[0065] The traffic signal controller 400 adjusts the time for releasing vehicles under the joint coordination of the selected real-time optimization parameters and phase flow optimization parameters.

[0066] It should be noted that, based on the protection of vehicle phases, the traffic signal controller 400 needs to adjust the release time according to the phase protection mechanism in the SCATS system.

[0067] Furthermore, in some embodiments, the roadside perception module 100 is also configured to acquire target traffic data of the current road and upstream and downstream roads under different real-time optimization parameters, wherein the data type of the target traffic data is the same as the data type of the traffic data;

[0068] The model building module 200 is also configured to evaluate and score the target traffic data to obtain a traffic operation score; and to determine whether to continue executing the corresponding real-time optimization parameters based on the traffic operation score.

[0069] Specifically, in this embodiment, considering that there are multiple solutions for each intersection at each time point, but the actual vehicle operation is constantly changing, the selected solution will lose its original processing efficiency after a period of time. Therefore, in this embodiment, the roadside perception module 100 acquires the target traffic data of the current road and upstream and downstream roads under different real-time optimization parameters, and the model building module 200 evaluates and scores the target traffic data to obtain a traffic operation score. The traffic operation score is used to determine whether the currently executed solution is still the best, and thus decide whether to continue executing the corresponding real-time optimization parameters.

[0070] Furthermore, in some embodiments, the model building module 200 is also configured to determine whether the traffic operation score meets the preset requirements; if yes, then continue to execute the corresponding real-time optimization parameters; if no, then adjust the traffic optimization model using the scheme optimization parameters to obtain an improved traffic optimization model.

[0071] Specifically, in this embodiment, considering that although different parameters can adjust the traffic optimization model to a certain extent, the parameter adjustment is still a small-scale fine-tuning. When the traffic optimization model has a major problem, it is impossible to achieve fast and accurate adjustment through parameters. Based on this, this embodiment designs the scheme optimization parameters to adjust the traffic optimization model. The scheme optimization parameters include parameters obtained through neural network training for significantly adjusting each position in the traffic optimization model. By adjusting the traffic optimization model through the scheme optimization parameters, the problem of not being able to adjust quickly and accurately when the traffic optimization model has a major problem is avoided.

[0072] Furthermore, in some embodiments, the scheme generation and distribution module 300 is also configured to import the real-time traffic data of the current road into the improved traffic optimization model to obtain an improved road optimization scheme, the improved road optimization scheme including several real-time optimization parameters and scheme optimization parameters; select the real-time optimization parameters in the improved road optimization scheme according to the phase flow optimization parameters of the current road; and send the selected real-time optimization parameters and the phase flow optimization parameters to the traffic signal controller 400.

[0073] The traffic signal controller 400 is also configured to adjust the release time in the next cycle based on the real-time optimization parameters and the phase flow optimization parameters and the phase protection mechanism in the SCATS system.

[0074] Specifically, in this embodiment, when the traffic optimization model undergoes significant adjustments, i.e., when the traffic optimization model is improved, it is necessary to re-acquire the scheme and re-execute the scheme by the traffic signal controller 400. Therefore, the real-time traffic data of the current road is imported into the improved traffic optimization model through the scheme generation and distribution module 300 to obtain the improved road optimization scheme. The phase flow optimization parameters of the current road are re-acquired, and the corresponding real-time optimization parameters are re-selected based on the phase flow optimization parameters. The traffic signal controller 400 adjusts the release time in the next cycle based on the real-time optimization parameters and the phase flow optimization parameters, and based on the phase protection mechanism in the SCATS system, thereby completing the control closed loop.

[0075] Furthermore, in some embodiments, the control system further includes a data storage module 500. The data storage module 500 is configured to store the traffic data of the current road, the real-time optimization parameters executed in the current time sequence, and the traffic operation score of the traffic data when the real-time optimization parameters are executed, in a time sequence. Specifically, in this embodiment, considering the need for data traceability, the data storage module 500 is also provided. The data storage module 500 stores the traffic data of the current road, the real-time optimization parameters executed in the current time sequence, and the traffic operation score of the traffic data when the real-time optimization parameters are executed, in a time sequence, thereby avoiding the problem of being unable to query control data later.

[0076] Furthermore, in some embodiments, the scheme generation and distribution module 300 is also configured to send a preset normalized scheme to the traffic signal controller 400 when there is no vehicle queue on the current road; the traffic signal controller 400 controls the lighting time of the traffic lights according to the normalized scheme. Specifically, in this embodiment, considering that it is not necessary to optimize vehicle release at every intersection at all times, the normalized scheme is set in this embodiment and executed when there is no vehicle queue on the current road. This not only avoids the entire system from working continuously, but also saves energy costs to a certain extent.

[0077] Furthermore, in some embodiments, the roadside sensing module 100 is also configured to acquire traffic data of the next phase lane when there is an empty lane in the current road.

[0078] The scheme generation and distribution module 300 is also configured to determine whether there is a vehicle queue in the next phase lane based on the traffic data of the next phase lane; if so, the real-time optimization parameters for shortening the current road clearance time are sent to the traffic signal controller 400. Specifically, in this embodiment, considering that the vehicle merging situation at each intersection is different, there may be a problem that there are no vehicles at the previous intersection but vehicles need to queue at the next intersection. Based on this, this embodiment also uses the roadside sensing module 100 to obtain the traffic data of the next phase lane when there is an empty space in the current road lane, and the scheme generation and distribution module 300 determines whether there is a vehicle queue in the next phase lane based on the traffic data of the next phase lane. When there is a queue in the next phase lane, the road clearance time of this phase is shortened to avoid exacerbating the vehicle queue situation at the next parking space.

[0079] This embodiment has the following advantages:

[0080] To improve the efficiency of the SCATS system in optimizing intersection congestion, the phase loop model of the SCATS system is used to make the optimization effect more obvious.

Claims

1. A road signal holographic optimization control system based on the SCATS system, characterized in that, The control system includes: A roadside sensing module (100) is installed on one side of a road intersection and is configured to acquire current road traffic data. A model building module (200) is configured to build a traffic optimization model based on the traffic data; The scheme generation and distribution module (300) is configured to import the real-time traffic data of the current road into the traffic optimization model to generate a road optimization scheme, which is used to control the corresponding traffic signal controller (400) based on the SCATS system.

2. The road signal holographic optimization control system based on the SCATS system according to claim 1, characterized in that, The roadside sensing module (100) is also configured to: Get current road condition information; The traffic information is preprocessed to obtain the traffic data, which includes queue lengths in multiple directions, average speed of road segments, and current phase congestion status.

3. A road signal holographic optimization control system based on the SCATS system according to claim 2, characterized in that, The model building module (200) is also configured to: When vehicles in the current direction of traffic flow at the intersection are queuing, the operating status parameters of the corresponding traffic signal controller (400) are obtained. Phase flow optimization parameters are generated based on the operating status parameters and the traffic data; The scheme generation and distribution module (300) is also configured to send the road optimization scheme and the phase flow optimization parameters for extending or shortening the release time of the traffic signal controller to the corresponding traffic signal controller (400); The traffic signal controller (400) is configured to extend or shorten the release time based on the phase control logic of the SCATS system and the road optimization scheme and the phase flow optimization parameters.

4. A road signal holographic optimization control system based on the SCATS system according to claim 3, characterized in that, The road optimization scheme includes several real-time optimization parameters and scheme optimization parameters; The scheme generation and distribution module (300) is also configured to select the real-time optimization parameters in the road optimization scheme according to the phase flow optimization parameters, and send the selected real-time optimization parameters and the phase flow optimization parameters to the traffic signal controller (400); The traffic signal controller (400) is also configured to adjust the release time based on the real-time optimization parameters and the phase flow optimization parameters, and based on the phase protection mechanism in the SCATS system.

5. A road signal holographic optimization control system based on the SCATS system according to claim 4, characterized in that, The roadside sensing module (100) is also configured to acquire target traffic data of the current road and upstream and downstream roads under different real-time optimization parameters, wherein the data type of the target traffic data is the same as the data type of the traffic data; The model building module (200) is also configured to: The target traffic data is evaluated and scored to obtain a traffic operation score; The system then determines whether to continue executing the corresponding real-time optimization parameters based on the traffic operation score.

6. A road signal holographic optimization control system based on the SCATS system according to claim 5, characterized in that, The model building module (200) is also configured to: Determine whether the traffic operation score meets the preset requirements; If so, continue to execute the corresponding real-time optimization parameters; If not, the traffic optimization model is adjusted using the optimization parameters of the proposed scheme to obtain an improved traffic optimization model.

7. A road signal holographic optimization control system based on the SCATS system according to claim 6, characterized in that, The scheme generation and distribution module (300) is also configured to: The real-time traffic data of the current road is imported into the improved traffic optimization model to obtain an improved road optimization scheme, which includes several real-time optimization parameters and scheme optimization parameters. The real-time optimization parameters in the improved road optimization scheme are selected based on the current phase flow optimization parameters of the road. The selected real-time optimization parameters and the phase flow optimization parameters are sent to the traffic signal controller (400); The traffic signal controller (400) is also configured to adjust the release time in the next cycle based on the real-time optimization parameters and the phase flow optimization parameters and the phase protection mechanism in the SCATS system.

8. A road signal holographic optimization control system based on the SCATS system according to claim 7, characterized in that, The control system further includes a data storage module (500) configured to store the traffic data of the current road, the real-time optimization parameters executed in the current time sequence, and the traffic operation score of the traffic data when the real-time optimization parameters are executed, in a time sequence.

9. A road signal holographic optimization control system based on the SCATS system according to claim 8, characterized in that, The scheme generation and distribution module (300) is also configured to send a preset normalized scheme to the traffic signal controller (400) when there is no vehicle queuing on the current road. The traffic signal controller (400) controls the lighting time of the traffic lights according to the normalized scheme.

10. A road signal holographic optimization control system based on the SCATS system according to claim 9, characterized in that, The roadside sensing module (100) is also configured to acquire traffic data of the next phase lane when there is an empty lane in the current road. The scheme generation and distribution module (300) is also configured to: Determine whether there is a queue in the next phase lane based on the traffic data of the next phase lane; If so, the real-time optimization parameters used to shorten the current road clearance time are sent to the traffic signal controller (400).

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