Intelligent system for traffic flow monitoring

Abstract

The invention relates to the technical field of traffic monitoring, and discloses an intelligent system for traffic flow monitoring, which comprises a flow monitoring and shunting module, a blockage dredging module and a vehicle guidance navigation module. The flow monitoring and shunting module is used for monitoring the traffic flow on the road in real time. The method is used for predicting whether a congestion risk exists when the traffic flow is monitored to be too large. The traffic flow distribution module is used for notifying a traffic management center to distribute traffic flow after the congestion risk exists. And the congestion dredging module is used for displaying the road congestion information and the detouring suggestions. The method is used for adjusting traffic light passing time. And the vehicle guiding navigation module is used for displaying an optimal lane navigation route and guiding a driver to drive to the optimal lane and drive away from a current congested road section. And meanwhile, the vehicle is dredged and navigated to the optimal road section.

Description

Technical Field

[0001] The invention relates to the technical field of traffic monitoring, and in particular to an intelligent system for monitoring traffic flow. Background Art

[0002] With the acceleration of urbanization, the number of private cars has increased dramatically, and traffic congestion has become a severe challenge faced by many large cities. Traditional traffic management methods often find it difficult to respond to complex traffic conditions in real time and accurately, resulting in frequent traffic congestion, which seriously affects the travel efficiency of citizens. Traditional traffic management methods often rely on manual observation and experience judgment, and it is difficult to accurately monitor traffic flow and predict congestion risks in real time. This leads to huge traffic flow and road blockage, which is difficult to solve in time. When traffic congestion occurs, traffic is often diverted by on-site command by traffic police or adjustment of traffic light cycles. However, this method often responds slowly and is difficult to cope with complex congestion situations. In addition, traditional navigation systems can only provide static route planning and cannot be dynamically adjusted according to real-time traffic conditions. The traffic efficiency is low, and vehicles cannot choose other routes due to congestion. Therefore, an intelligent system for traffic flow monitoring is proposed. Summary of the invention

[0003] The present invention aims to solve the technical problem of how to divert the traffic flow and navigate the vehicles to the optimal road section when the traffic flow is detected to be too large, and to provide an intelligent system for traffic flow monitoring.

[0004] The technical solution adopted by the present invention to solve its technical problems is: an intelligent system for traffic flow monitoring, including a flow monitoring and diversion module, a congestion clearing module, and a vehicle guidance and navigation module. The flow monitoring and diversion module is used to monitor the traffic flow on the road in real time. It is used to predict whether there is a congestion risk when it is detected that the traffic flow is too large. It is used to notify the traffic control center to divert the traffic flow after there is a congestion risk. The congestion clearing module is used to display road congestion information and detour suggestions. It is used to adjust the traffic light passage time. The vehicle guidance and navigation module is used to display the optimal lane navigation route to guide the driver to drive to the optimal lane and leave the current congested section.

[0005] Through the setting of the flow monitoring and diversion module, it is possible to collect and analyze the traffic flow data on the road in real time, predict whether traffic congestion may occur on the road in the future, and the instant feedback provides valuable decision-making time for the traffic control center, so that preventive measures can be taken before road congestion occurs, and vehicles can be diverted in time, which can significantly reduce traffic congestion, shorten commuting time, and reduce the risk of traffic accidents caused by congestion. The congestion relief module provides drivers with instant and accurate navigation information by dynamically displaying road congestion information and providing vehicle detour suggestions, helping them avoid congested areas and choose smoother driving routes. The vehicle guidance and navigation module provides each driver with a personalized optimal lane navigation route, taking into account the current traffic conditions, achieving more efficient path planning, guiding the driver to drive to the optimal lane, reducing congestion pressure on specific lanes, and improving overall road traffic capacity.

[0006] Furthermore, the flow monitoring and diversion module includes a first microprocessor, a vehicle flow sensor, a laser radar sensor, a laser ranging sensor, and an acceleration sensor. The vehicle flow sensor is arranged on the road and is used to monitor the vehicle flow on the road in real time. When the vehicle flow is detected to be too large, an overload signal is generated and sent to the laser radar sensor, the acceleration sensor, and the laser ranging sensor. The laser radar sensor is arranged on the vehicle and is connected to the vehicle flow sensor for communication. After receiving the overload signal, it is used to obtain the driving speed of the front vehicle and the driving speed of the rear vehicle when braking, and send it to the first microprocessor. The acceleration sensor is arranged on the vehicle and is connected to the vehicle flow sensor for communication. After receiving the overload signal, it is used to obtain the maximum deceleration acceleration of the vehicle and send it to the first microprocessor. The laser ranging sensor is arranged on the vehicle and is connected to the vehicle flow sensor for communication. After receiving the overload signal, it is used to obtain the distance between the front vehicle and the rear vehicle and send it to the first microprocessor. The first microprocessor is arranged on the road and is connected to the laser radar sensor, the acceleration sensor, the laser ranging sensor, and the traffic control center. It is used to calculate the safe speed after receiving the driving speed of the front vehicle, the driving speed of the rear vehicle when braking, the maximum deceleration acceleration of the vehicle, and the distance between the front vehicle and the rear vehicle, through the driving speed of the front vehicle, the driving speed of the rear vehicle when braking, the maximum deceleration acceleration of the vehicle, the distance between the front vehicle and the rear vehicle, and the preset driver reaction time. It is used to determine the existence of congestion risk when the safe speed exceeds the preset safe speed. It is used to notify the traffic control center to divert the traffic flow when there is a congestion risk.

[0007] If the actual vehicle speed exceeds the preset safe speed, it is determined that there is a risk of congestion and the traffic control center is notified immediately. The traffic control center arranges traffic police to go to the scene to direct the traffic flow and divert the traffic flow to effectively prevent traffic congestion. By predicting the risk of congestion, it can effectively prevent the occurrence of congestion and automatically trigger response measures, greatly improving the efficiency and accuracy of traffic management. Through the intelligent diversion and dynamic adjustment of traffic flow by the traffic control center, the road capacity is significantly improved, traffic congestion is reduced, travel efficiency is improved, and the driver's travel experience is improved.

[0008] Furthermore, the calculation formula for safe speed is:

[0009]

[0010] Among them, V s is the safe speed, in m / s, V a is the speed of the preceding vehicle, in m / s, V b is the speed of the rear vehicle when braking, in m / s, and b is the maximum deceleration acceleration of the vehicle, in m / s 2 , S is the distance between the front car and the rear car, in meters, and T is the preset driver reaction time, in seconds.

[0011] Furthermore, the acceleration sensor is a piezoresistive acceleration sensor.

[0012] The high-precision measurement capability of the piezoresistive acceleration sensor enables the system to more accurately assess the deceleration acceleration of the vehicle during driving, thereby more accurately predicting the risk of congestion. In addition, the high-precision acceleration measurement and fast response speed can provide more accurate information and improve the driver's travel experience.

[0013] Furthermore, the blockage clearing module includes an ultrasonic rangefinder, a laser sensor, a geomagnetic sensor, several cameras, a timer, and a second microprocessor. The ultrasonic rangefinder is arranged on the road to measure the road width of the road section to be monitored and send it to the first microprocessor. The laser sensor is arranged on the road to measure the average width of the vehicle and send it to the first microprocessor. The geomagnetic sensor is arranged on the road to obtain the total number of vehicles on the road section to be monitored and send it to the first microprocessor. Several cameras are arranged on both sides of the road to shoot the number of lanes and send it to the first microprocessor. The second microprocessor is arranged inside the traffic light control box, and is connected to the ultrasonic rangefinder, the laser sensor, the geomagnetic sensor, and several cameras for communication. After receiving the road width of the road section to be monitored, the average width of the vehicle, the total number of vehicles on the road section to be monitored, and the number of lanes, the lane load index is calculated by the road width of the road section to be monitored, the average width of the vehicle, the preset maximum speed limit of the monitored road section, the total number of vehicles on the road section to be monitored, the number of lanes, and the preset road length of the road section to be monitored. When the lane load index exceeds the preset lane load index and the driving speed of the preceding vehicle is less than the maximum speed limit of the monitored section, a detour signal is generated and sent to a plurality of display screens. When the lane load index exceeds the preset lane load index and the driving speed of the preceding vehicle is less than the maximum speed limit of the monitored section, a timer is started. A plurality of display screens are respectively arranged on both sides of the road, and are communicatively connected to the second microprocessor, and are used to display road congestion information and detour suggestions after receiving the detour signal. The timer is arranged inside the traffic light control box, and is electrically connected to the second microprocessor, and is used to adjust the traffic light passage time.

[0014] The lane load index reflects the current traffic pressure on the road. When the lane load index exceeds the preset value and the speed of the vehicle ahead is less than the maximum speed limit of the monitored section, it is determined that there is a risk of congestion, a detour signal is generated, and the driver is provided with road congestion information and detour suggestions through the display screen. At the same time, the timer is started, and the traffic light duration is dynamically adjusted according to the congestion situation to optimize traffic flow and alleviate congestion, greatly improving the efficiency and accuracy of traffic management. At the same time, the provision of detour suggestions also provides drivers with more options, which helps to alleviate congestion, improve travel efficiency, and enhance traffic safety and comfort.

[0015] Furthermore, the calculation formula of lane load index is:

[0016]

[0017] Among them, K is the lane load index, W2 is the road width of the monitored section, in m, W1 is the average width of the vehicle, in m, V is the preset maximum speed limit of the monitored section, in m / s, N is the total number of vehicles on the monitored section, in pieces, n is the number of lanes, in lanes, and L is the preset road length of the monitored section, in m.

[0018] Furthermore, some cameras are high-definition cameras.

[0019] HD cameras can capture and record finer image details, including key information such as vehicle color, model, license plate number, etc. This is crucial for subsequent traffic data analysis, violation identification, and vehicle tracking. HD cameras can also provide clear images in low light or complex environments, reducing misjudgments or missed judgments caused by blurred images, and enhancing the efficiency and safety of traffic management.

[0020] Furthermore, the vehicle guidance and navigation module includes a third microprocessor, a laser rangefinder, a speed sensor, and a vehicle display screen. The laser rangefinder is arranged on the road, and is used to obtain the overall length of the lane, the queue length of the lane, the length of the allocated but unpassed vehicle queue of the lane, and the length of the allocated but unpassed vehicle queue of the lane, and send it to the third microprocessor. The speed sensor is arranged on the road, and is used to detect the speed of the vehicle entering a certain lane, and the speed of the vehicle in the allocated but unpassed vehicle queue of a certain lane, and send it to the third microprocessor. The third microprocessor is arranged on the road, and is connected to the laser rangefinder and the speed sensor for communication, and is used to calculate the time taken for a single vehicle to pass through a certain lane after receiving the overall length of the lane, the speed of the vehicle entering a certain lane, the queue length of the lane, the length of the allocated but unpassed vehicle queue of the lane, and the speed of the vehicle in the allocated but unpassed vehicle queue of a certain lane. When the time taken by a single vehicle to pass through a lane is less than a preset waiting time and the lane load index exceeds a preset lane load index, a navigation signal is generated and sent to the vehicle display screen. The vehicle display screen is arranged on the vehicle and is in communication connection with the third microprocessor, and is used to display the optimal lane navigation route after receiving the navigation signal, so as to guide the driver to drive to the optimal lane and leave the current congested road section.

[0021] The on-board display screen displays the optimal lane navigation route. This display method is intuitive and clear, which makes it easy for drivers to quickly understand and take corresponding driving actions, providing drivers with the optimal lane navigation route, effectively reducing waiting time and driving distance, and improving travel efficiency. By guiding drivers to choose the optimal lane, it can balance the traffic flow of each lane, improve road capacity, and effectively alleviate traffic congestion.

[0022] Furthermore, the calculation formula for the time taken by a single vehicle to pass through a lane is:

[0023]

[0024] Where t is the time it takes for a single vehicle to pass through the i-th lane, in seconds, and R i is the overall length of the ith lane, in meters, V1 is the speed of the vehicle entering the ith lane, in meters per second, L i The queue length of the i-th lane, in meters, C i is the length of the queue of vehicles that have been allocated but not passed in the i-th lane, in meters, and V2 is the speed of vehicles in the queue of vehicles that have been allocated but not passed in the i-th lane, in meters per second.

[0025] Furthermore, the speed sensor is a radar speed meter.

[0026] The radar speed gun uses the principle of Doppler effect to accurately measure the speed of the vehicle in a non-contact manner. It can work stably in high-speed or complex traffic environments and has a more accurate speed measurement accuracy.

[0027] Beneficial effects of the present invention:

[0028] 1. The present invention can collect and analyze the traffic flow data on the road in real time through the setting of the flow monitoring and diversion module, and predict whether traffic congestion may occur on the road in the future. The instant feedback provides valuable decision-making time for the traffic control center, so that preventive measures can be taken before road congestion occurs, and vehicles can be diverted in time, which can significantly reduce traffic congestion, shorten commuting time, and reduce the risk of traffic accidents caused by congestion. The congestion unblocking module provides drivers with instant and accurate navigation information by dynamically displaying road congestion information and providing vehicle detour suggestions, helping them avoid congested areas and choose smoother driving routes. The vehicle guidance and navigation module provides each driver with a personalized optimal lane navigation route, taking into account the current traffic conditions, to achieve more efficient path planning, guide the driver to drive to the optimal lane, reduce congestion pressure on specific lanes, and improve overall road traffic capacity. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a schematic diagram of the structure of the present invention. DETAILED DESCRIPTION

[0030] The concept and technical effects of the present invention will be clearly and completely described below in conjunction with embodiments to fully understand the purpose, features and effects of the present invention.

[0031] like Figure 1 The technical solution adopted by the present invention to solve its technical problems is: an intelligent system for traffic flow monitoring, including a flow monitoring and diversion module, a congestion clearing module, and a vehicle guidance and navigation module. The flow monitoring and diversion module is used to monitor the traffic flow on the road in real time. It is used to predict whether there is a congestion risk when it is detected that the traffic flow is too large. It is used to notify the traffic control center to divert the traffic flow after there is a congestion risk. The congestion clearing module is used to display road congestion information and detour suggestions. It is used to adjust the traffic light passage time. The vehicle guidance and navigation module is used to display the optimal lane navigation route to guide the driver to drive to the optimal lane and leave the current congested section.

[0032] Through the setting of the flow monitoring and diversion module, it is possible to collect and analyze the traffic flow data on the road in real time, predict whether traffic congestion may occur on the road in the future, and the instant feedback provides valuable decision-making time for the traffic control center, so that preventive measures can be taken before road congestion occurs, and vehicles can be diverted in time, which can significantly reduce traffic congestion, shorten commuting time, and reduce the risk of traffic accidents caused by congestion. The congestion relief module provides drivers with instant and accurate navigation information by dynamically displaying road congestion information and providing vehicle detour suggestions, helping them avoid congested areas and choose smoother driving routes. The vehicle guidance and navigation module provides each driver with a personalized optimal lane navigation route, taking into account the current traffic conditions, achieving more efficient path planning, guiding the driver to drive to the optimal lane, reducing congestion pressure on specific lanes, and improving overall road traffic capacity.

[0033] The flow monitoring and diversion module includes a first microprocessor, a vehicle flow sensor, a laser radar sensor, a laser ranging sensor, and an acceleration sensor. The vehicle flow sensor is arranged on the road and is used to monitor the vehicle flow on the road in real time. When the vehicle flow is detected to be too large, an overload signal is generated and sent to the laser radar sensor, the acceleration sensor, and the laser ranging sensor. The laser radar sensor is arranged on the vehicle and is connected to the vehicle flow sensor for communication. After receiving the overload signal, it is used to obtain the driving speed of the front vehicle and the driving speed of the rear vehicle when braking, and send it to the first microprocessor. The acceleration sensor is arranged on the vehicle and is connected to the vehicle flow sensor for communication. After receiving the overload signal, it is used to obtain the maximum deceleration acceleration of the vehicle and send it to the first microprocessor. The laser ranging sensor is arranged on the vehicle and is connected to the vehicle flow sensor for communication. After receiving the overload signal, it is used to obtain the distance between the front vehicle and the rear vehicle and send it to the first microprocessor. The first microprocessor is arranged on the road and is connected to the laser radar sensor, the acceleration sensor, the laser ranging sensor, and the traffic control center. It is used to calculate the safe speed after receiving the driving speed of the front vehicle, the driving speed of the rear vehicle when braking, the maximum deceleration acceleration of the vehicle, and the distance between the front vehicle and the rear vehicle, through the driving speed of the front vehicle, the driving speed of the rear vehicle when braking, the maximum deceleration acceleration of the vehicle, the distance between the front vehicle and the rear vehicle, and the preset driver reaction time. It is used to determine the existence of congestion risk when the safe speed exceeds the preset safe speed. It is used to notify the traffic control center to divert the traffic flow when there is a congestion risk.

[0034] If the actual vehicle speed exceeds the preset safe speed, it is determined that there is a risk of congestion and the traffic control center is notified immediately. The traffic control center arranges traffic police to go to the scene to direct the traffic flow and divert the traffic flow to effectively prevent traffic congestion. By predicting the risk of congestion, it can effectively prevent the occurrence of congestion and automatically trigger response measures, greatly improving the efficiency and accuracy of traffic management. Through the intelligent diversion and dynamic adjustment of traffic flow by the traffic control center, the road capacity is significantly improved, traffic congestion is reduced, travel efficiency is improved, and the driver's travel experience is improved.

[0035] The calculation formula for safe speed is:

[0036]

[0037] Among them, V s is the safe speed, in m / s, V a is the speed of the preceding vehicle, in m / s, V b is the speed of the rear vehicle when braking, in m / s, and b is the maximum deceleration acceleration of the vehicle, in m / s 2, S is the distance between the front car and the rear car, in meters, and T is the preset driver reaction time, in seconds.

[0038] The acceleration sensor is a piezoresistive acceleration sensor.

[0039] The high-precision measurement capability of the piezoresistive acceleration sensor enables the system to more accurately assess the deceleration acceleration of the vehicle during driving, thereby more accurately predicting the risk of congestion. In addition, the high-precision acceleration measurement and fast response speed can provide more accurate information and improve the driver's travel experience.

[0040] The blockage clearing module includes an ultrasonic rangefinder, a laser sensor, a geomagnetic sensor, several cameras, a timer, and a second microprocessor. The ultrasonic rangefinder is arranged on the road to measure the road width of the road section to be monitored and send it to the first microprocessor. The laser sensor is arranged on the road to measure the average width of the vehicle and send it to the first microprocessor. The geomagnetic sensor is arranged on the road to obtain the total number of vehicles on the road section to be monitored and send it to the first microprocessor. Several cameras are arranged on both sides of the road to shoot the number of lanes and send it to the first microprocessor. The second microprocessor is arranged inside the traffic signal light control box, and is connected to the ultrasonic rangefinder, the laser sensor, the geomagnetic sensor, and several cameras for communication. After receiving the road width of the road section to be monitored, the average width of the vehicle, the total number of vehicles and the number of lanes on the road section to be monitored, the lane load index is calculated by the road width of the road section to be monitored, the average width of the vehicle, the preset maximum speed limit of the monitored road section, the total number of vehicles on the road section to be monitored, the number of lanes, and the preset road length of the road section to be monitored. When the lane load index exceeds the preset lane load index and the driving speed of the preceding vehicle is less than the maximum speed limit of the monitored section, a detour signal is generated and sent to a plurality of display screens. When the lane load index exceeds the preset lane load index and the driving speed of the preceding vehicle is less than the maximum speed limit of the monitored section, a timer is started. A plurality of display screens are respectively arranged on both sides of the road, and are communicatively connected to the second microprocessor, and are used to display road congestion information and detour suggestions after receiving the detour signal. The timer is arranged inside the traffic light control box, and is electrically connected to the second microprocessor, and is used to adjust the traffic light passage time.

[0041] The lane load index reflects the current traffic pressure on the road. When the lane load index exceeds the preset value and the speed of the vehicle ahead is less than the maximum speed limit of the monitored section, it is determined that there is a risk of congestion, a detour signal is generated, and the driver is provided with road congestion information and detour suggestions through the display screen. At the same time, the timer is started, and the traffic light duration is dynamically adjusted according to the congestion situation to optimize traffic flow and alleviate congestion, greatly improving the efficiency and accuracy of traffic management. At the same time, the provision of detour suggestions also provides drivers with more options, which helps to alleviate congestion, improve travel efficiency, and enhance traffic safety and comfort.

[0042] The calculation formula of lane load index is:

[0043]

[0044] Among them, K is the lane load index, W2 is the road width of the monitored section, in m, W1 is the average width of the vehicle, in m, V is the preset maximum speed limit of the monitored section, in m / s, N is the total number of vehicles on the monitored section, in pieces, n is the number of lanes, in lanes, and L is the preset road length of the monitored section, in m.

[0045] Some cameras are high-definition cameras.

[0046] HD cameras can capture and record finer image details, including key information such as vehicle color, model, license plate number, etc. This is crucial for subsequent traffic data analysis, violation identification, and vehicle tracking. HD cameras can also provide clear images in low light or complex environments, reducing misjudgments or missed judgments caused by blurred images, and enhancing the efficiency and safety of traffic management.

[0047] The vehicle guidance and navigation module includes a third microprocessor, a laser rangefinder, a speed sensor, and a vehicle display screen. The laser rangefinder is arranged on the road, and is used to obtain the overall length of the lane, the queue length of the lane, the length of the allocated but unpassed vehicle queue of the lane, and the length of the allocated but unpassed vehicle queue of the lane, and send it to the third microprocessor. The speed sensor is arranged on the road, and is used to detect the speed of the vehicle entering a certain lane, and the speed of the vehicle in the allocated but unpassed vehicle queue of a certain lane, and send it to the third microprocessor. The third microprocessor is arranged on the road, and is connected to the laser rangefinder and the speed sensor for communication, and is used to calculate the time taken for a single vehicle to pass through a certain lane after receiving the overall length of the lane, the speed of the vehicle entering a certain lane, the queue length of the lane, the length of the allocated but unpassed vehicle queue of the lane, and the speed of the vehicle in the allocated but unpassed vehicle queue of a certain lane. When the time taken by a single vehicle to pass through a lane is less than a preset waiting time and the lane load index exceeds a preset lane load index, a navigation signal is generated and sent to the vehicle display screen. The vehicle display screen is arranged on the vehicle and is in communication connection with the third microprocessor, and is used to display the optimal lane navigation route after receiving the navigation signal, so as to guide the driver to drive to the optimal lane and leave the current congested road section.

[0048] The on-board display screen displays the optimal lane navigation route. This display method is intuitive and clear, which makes it easy for drivers to quickly understand and take corresponding driving actions, providing drivers with the optimal lane navigation route, effectively reducing waiting time and driving distance, and improving travel efficiency. By guiding drivers to choose the optimal lane, it can balance the traffic flow of each lane, improve road capacity, and effectively alleviate traffic congestion.

[0049] The calculation formula for the time it takes for a single vehicle to pass through a lane is:

[0050]

[0051] Where t is the time it takes for a single vehicle to pass through the i-th lane, in seconds, and R i is the overall length of the ith lane, in meters, V1 is the speed of the vehicle entering the ith lane, in meters per second, L i The queue length of the i-th lane, in meters, C i is the length of the queue of vehicles that have been allocated but not passed in the i-th lane, in meters, and V2 is the speed of vehicles in the queue of vehicles that have been allocated but not passed in the i-th lane, in meters per second.

[0052] The speed sensor is a radar speed meter.

[0053] The radar speed gun uses the principle of Doppler effect to accurately measure the speed of the vehicle in a non-contact manner. It can work stably in high-speed or complex traffic environments and has a more accurate speed measurement accuracy.

[0054] For example, there are many vehicles traveling on a certain road in a city.

[0055] The vehicle flow sensor monitors the vehicle flow on the road in real time and sends the data to the first microprocessor. When the vehicle flow sensor detects that the vehicle flow is too large, an overload signal is generated and sent to the laser radar sensor, the acceleration sensor and the laser ranging sensor respectively. When the laser radar sensor receives the overload signal, it obtains the driving speed of the front and rear vehicles and sends the data to the first microprocessor. When the acceleration sensor receives the overload signal, it obtains the maximum deceleration acceleration of the vehicle and sends the data to the first microprocessor. When the laser ranging sensor receives the overload signal, it measures the distance between the front and rear vehicles and sends the data to the first microprocessor. When the first microprocessor receives the data from the laser radar sensor, the acceleration sensor and the laser ranging sensor, it calculates the safe speed. When the calculated safe speed exceeds the preset safe speed, the first microprocessor determines that there is a risk of congestion on the road section and notifies the traffic control center, which then assigns traffic police to the scene to divert the traffic flow.

[0056] The ultrasonic rangefinder measures the road width of the road section to be monitored and sends the data to the second microprocessor. The laser sensor measures the average width of the vehicle and sends the data to the second microprocessor. The geomagnetic sensor obtains the total number of vehicles on the road section to be monitored and sends the data to the second microprocessor. Several cameras capture the number of lanes and send the data to the second microprocessor. After the second microprocessor receives the data from the ultrasonic rangefinder, the laser sensor, the geomagnetic sensor and the high-definition camera, it calculates the lane load index. When the lane load index exceeds the preset lane load index and the driving speed of the front vehicle is less than the maximum speed limit of the monitored section, the second microprocessor generates a detour signal and sends it to several display screens on both sides of the road. At the same time, the second microprocessor starts the timer, and the timer adjusts the traffic light duration so that the vehicle can pass smoothly. After receiving the detour signal, several display screens display road congestion information and detour suggestions to facilitate drivers to detour and avoid continuing to drive on congested sections.

[0057] The laser rangefinder obtains information such as the overall length of the lane, the length of the queue, and the length of the queue of assigned vehicles that have not passed, and sends the data to the third microprocessor. The speed sensor detects the speed of the vehicle entering a lane and the speed of the vehicle in the queue, and sends the data to the third microprocessor. After the third microprocessor receives data from the laser rangefinder and the radar speedometer, it calculates the time it takes for a single vehicle to pass through a lane. When the calculated time it takes for a single vehicle to pass through the lane is less than the preset waiting time, and the lane load index exceeds the preset lane load index, the third microprocessor generates a navigation signal and sends it to the on-board display. After receiving the navigation signal, the on-board display displays the optimal lane navigation route for the driver, guiding the driver to drive to the optimal lane and leave the current congested section.

[0058] The above embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, other embodiments obtained by those skilled in the art without creative work shall all fall within the scope of protection of the present invention.

Claims

1. An intelligent system for traffic flow monitoring, characterized in that: Including flow monitoring and diversion module, blockage dredging module, and vehicle guidance and navigation module; The traffic monitoring and diversion module is used to monitor the traffic volume on the road in real time; to predict whether there is a risk of congestion when the traffic volume is too large; and to notify the traffic control center to divert the traffic volume when there is a risk of congestion. The congestion clearing module is used to display road congestion information and detour suggestions; Used to adjust the duration of traffic lights; The vehicle guidance and navigation module is used to display the optimal lane navigation route, guide the driver to drive to the optimal lane and leave the current congested road section.

2. The intelligent system for traffic flow monitoring according to claim 1 is characterized in that : The flow monitoring and diversion module includes a first microprocessor, a vehicle flow sensor, a laser radar sensor, a laser ranging sensor, and an acceleration sensor; The vehicle flow sensor is arranged on the road and is used to monitor the vehicle flow on the road in real time; when the vehicle flow is detected to be too large, it is used to generate an overload signal and send it to the laser radar sensor, the acceleration sensor, and the laser ranging sensor; The laser radar sensor is arranged on the vehicle and is in communication connection with the vehicle flow sensor, and is used to obtain the driving speed of the leading vehicle and the driving speed of the trailing vehicle when braking after receiving the overload signal, and send it to the first microprocessor; The acceleration sensor is arranged on the vehicle and is in communication connection with the vehicle flow sensor, and is used to obtain the maximum deceleration acceleration of the vehicle after receiving the overload signal, and send it to the first microprocessor; The laser distance measuring sensor is arranged on the vehicle and is in communication connection with the vehicle flow sensor, and is used to obtain the distance between the front vehicle and the rear vehicle after receiving the overload signal, and send it to the first microprocessor; The first microprocessor is disposed on the road and is in communication connection with the laser radar sensor, the acceleration sensor, the laser ranging sensor, and the traffic control center, and is used to calculate the safe vehicle speed by receiving the driving speed of the front vehicle, the driving speed of the rear vehicle when braking, the maximum deceleration acceleration of the vehicle, and the distance between the front vehicle and the rear vehicle through the driving speed of the front vehicle, the driving speed of the rear vehicle when braking, the maximum deceleration acceleration of the vehicle, the distance between the front vehicle and the rear vehicle, and the preset driver reaction time; Used to determine the risk of congestion when the safe speed exceeds the preset safe speed; Used to notify the traffic control center to divert traffic when there is a risk of congestion.

3. The intelligent system for traffic flow monitoring according to claim 2 is characterized in that The calculation formula for safe speed is: Among them, V s is the safe speed, in m / s, V a is the speed of the vehicle in front, in m / s, V b is the speed of the rear vehicle when braking, in m / s, and b is the maximum deceleration acceleration of the vehicle, in m / s 2 , S is the distance between the front car and the rear car, in meters, and T is the preset driver reaction time, in seconds.

4. The intelligent system for traffic flow monitoring according to claim 2 is characterized in that :The acceleration sensor is a piezoresistive acceleration sensor.

5. The intelligent system for traffic flow monitoring according to claim 2 is characterized in that : The blockage dredging module includes an ultrasonic rangefinder, a laser sensor, a geomagnetic sensor, several cameras, a timer, and a second microprocessor; The ultrasonic rangefinder is arranged on the road and is used to measure the road width of the road section to be monitored and send it to the first microprocessor; The laser sensor is arranged on the road to measure the average width of the vehicles and send it to the first microprocessor; The geomagnetic sensor is arranged on the road, and is used to obtain the total number of vehicles on the road section to be monitored, and send it to the first microprocessor; A plurality of cameras are respectively arranged on both sides of the road to take pictures of lane numbers and send them to the first microprocessor; The second microprocessor is arranged inside the traffic light control box, and is in communication connection with the ultrasonic rangefinder, the laser sensor, the geomagnetic sensor, and the plurality of cameras, and is used to calculate the lane load index by receiving the road width of the section to be monitored, the average width of the vehicles, the total number of vehicles in the section to be monitored, and the number of lanes through the road width of the section to be monitored, the average width of the vehicles, the preset maximum speed limit of the monitored section, the total number of vehicles in the section to be monitored, the number of lanes, and the preset road length of the section to be monitored; Used to generate a detour signal and send a plurality of the display screens when the lane load index exceeds a preset lane load index and the driving speed of the preceding vehicle is less than the maximum speed limit of the monitored road section; for starting the timer when the lane load index exceeds a preset lane load index and the driving speed of the preceding vehicle is less than the maximum speed limit of the monitored road section; The plurality of display screens are respectively arranged on both sides of the road and are in communication connection with the second microprocessor, and are used to display road congestion information and detour suggestions after receiving a detour signal; The timer is arranged inside the traffic light control box and is electrically connected to the second microprocessor for adjusting the passage time of the traffic light.

6. The intelligent system for traffic flow monitoring according to claim 5 is characterized in that The calculation formula of lane load index is: Among them, K is the lane load index, W2 is the road width of the monitored section, in m, W1 is the average width of the vehicle, in m, V is the preset maximum speed limit of the monitored section, in m / s, N is the total number of vehicles on the monitored section, in pieces, n is the number of lanes, in lanes, and L is the preset road length of the monitored section, in m.

7. The intelligent system for traffic flow monitoring according to claim 5 is characterized in that :Some of the cameras are high-definition cameras.

8. The intelligent system for traffic flow monitoring according to claim 5 is characterized in that : The vehicle guidance and navigation module includes a third microprocessor, a laser rangefinder, a speed sensor, and a vehicle display screen; The laser rangefinder is arranged on the road, and is used to obtain the overall length of the lane, the queue length of the lane, the queue length of the allocated but unpassed vehicles in the lane, and the queue length of the allocated but unpassed vehicles in the lane, and send them to the third microprocessor; The speed sensor is arranged on the road, and is used to detect the speed of the vehicle entering a certain lane, the speed of the vehicle queued in a certain lane that has been allocated but not passed, and send it to the third microprocessor; The third microprocessor is disposed on the road and is in communication with the laser rangefinder and the speed sensor, and is used to calculate the time taken for a single vehicle to pass through a lane through the overall length of the lane, the speed at which vehicles enter a lane, the queue length of the lane, the queue length of the allocated but unpassed vehicles in the lane, and the speed of the allocated but unpassed vehicles in the lane after receiving the overall length of the lane, the speed at which vehicles enter a lane, the queue length of the lane, the queue length of the allocated but unpassed vehicles in the lane, and the speed of the allocated but unpassed vehicles in the lane; When the time taken by a single vehicle to pass through a lane is less than a preset waiting time and the lane load index exceeds a preset lane load index, a navigation signal is generated and sent to the vehicle display screen; The vehicle-mounted display screen is arranged on the vehicle and is in communication connection with the third microprocessor, and is used for displaying the optimal lane navigation route after receiving the navigation signal, so as to guide the driver to drive to the optimal lane and leave the current congested road section.

9. The intelligent system for traffic flow monitoring according to claim 8, characterized in that The calculation formula for the time it takes for a single vehicle to pass through a lane is: Where t is the time it takes for a single vehicle to pass through the i-th lane, in seconds, and R i is the overall length of the ith lane, in meters, V1 is the speed of the vehicle entering the ith lane, in meters per second, L i The queue length of the i-th lane, in meters, C i is the length of the queue of vehicles that have been allocated but not passed in the i-th lane, in meters, and V2 is the speed of vehicles in the queue of vehicles that have been allocated but not passed in the i-th lane, in meters per second.

10. The intelligent system for traffic flow monitoring according to claim 8, characterized in that :The speed sensor is a radar speed meter.

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