CN111951547A - State and province trunk traffic flow information monitoring method - Google Patents
State and province trunk traffic flow information monitoring method Download PDFInfo
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- CN111951547A CN111951547A CN202010745531.9A CN202010745531A CN111951547A CN 111951547 A CN111951547 A CN 111951547A CN 202010745531 A CN202010745531 A CN 202010745531A CN 111951547 A CN111951547 A CN 111951547A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
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Abstract
The invention discloses a method for monitoring national and provincial trunk traffic flow information, relates to the related field of traffic flow monitoring, and aims to solve the problems that the precision of the current national and provincial trunk traffic flow information monitoring is reduced along with the increase of service life, and measures are simpler after abnormal traffic flow is monitored. The method comprises the following steps: s1: dividing monitoring points according to normal traffic flow; s2: laying a positioning chip, installing a microwave detector and a video detector, and laying a monitoring unmanned aerial vehicle; s3: the video detector collects video of a road section through a camera and detects information of vehicle speed and vehicle flow; s4: the microwave detector measures the speed and the flow of the vehicle; s5: the central processing host integrates the traffic flow information, the vehicle speed and the shooting video information of each monitoring point; s6: and the commander conducts traffic dispersion and regulation according to the information of each monitoring point integrated by the central processing host.
Description
Technical Field
The invention relates to the related field of traffic flow monitoring, in particular to a national province trunk traffic flow information monitoring method.
Background
The highway of the trunk road which plays a skeleton role in the highway network is divided into a national road and a provincial road. The national roads refer to main trunk roads with national political and economic significance, and comprise important international roads, national defense roads, roads connecting capital with headquarters of various provinces, autonomous regions and direct prefectures, roads connecting various large economic centers, port station hubs, commodity production bases and strategic grounds. The provincial road is also called a provincial trunk road. The provincial highway network has the political, economic and national defense significance of the whole province, and is determined as a provincial trunk highway through the unified planning of provinces, cities and autonomous regions. The highway administration department of the whole province (autonomous region, direct district city) is responsible for construction, maintenance and management. The highway across provinces in national roads is built, maintained and managed by special institutions approved by the department of transportation.
At time t, the number of vehicles passing in a unit time is referred to as a traffic flow, and is the number of traffic entities passing through a certain point, a certain section or a certain lane of a road in a selected time period. The traffic jam can be judged according to the traffic flow, so that the traffic management measures can be determined, and the accurate detection of the traffic volume is an important position in traffic engineering.
At present, the information monitoring of national and provincial trunk line traffic flow is carried out by mostly adopting a traditional buried coil type monitoring and camera monitoring mode on roads, but the traditional buried coil type monitoring mode needs to be carried out by closing the roads when being maintained, the monitoring precision is influenced along with the sinking of the roads and the loss of other forms after the traditional buried coil type monitoring mode is used for a long time, and the monitoring of abnormal traffic flow is simply carried out by adding and dispatching people; therefore, the market urgently needs to develop a method for monitoring the traffic flow information of the trunk lines in the national province to help people to solve the existing problems.
Disclosure of Invention
The invention aims to provide a national-provincial trunk traffic flow information monitoring method, which aims to solve the problems that the accuracy of the current national-provincial trunk traffic flow information monitoring is reduced along with the increase of the service life, and measures are simpler after the traffic flow is monitored to be abnormal, which are provided by the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a method for monitoring traffic flow information of national and provincial trunk lines comprises the following steps:
s1: monitoring points are divided according to the normal traffic flow of the national and provincial trunk traffic;
s2: a positioning chip is arranged on each monitoring point, a microwave detector and a video detector are arranged above a road where the monitoring points are located, a monitoring unmanned aerial vehicle is arranged at the monitoring point position of a trunk line starting end or a terminal in China and provinces, and a loudspeaker, a panoramic camera, a measurement and control camera and a wireless communication chip are arranged on the monitoring unmanned aerial vehicle;
s3: the video of the road section collected by the video detector through the camera is transmitted to a video processor of a traffic command center in charge of the road section through an optical transceiver, video information processed by the video processor is fed back to a monitor of the traffic command center through a video distributor, a commander monitors traffic flow through the monitor, and vehicle speed and traffic flow information detected by the video detector are converted into electric signals through a data collector and then are transmitted to a data processing host of the traffic command center through a wireless communication chip;
s4: the microwave detector utilizes the radar antenna to emit electromagnetic waves, when a vehicle passes through, the electromagnetic waves are reflected back, then the waves are received and calculated by the radar detector, the vehicle speed and the vehicle flow are measured, and the data are converted into electric signals through the data acquisition machine and then are sent to the data processing host of the traffic command center through the wireless communication chip;
s5: the data processing host returns the traffic flow information received from each monitoring point to a central processing host of the traffic command center, and the central processing host integrates the traffic flow information, the vehicle speed and the shooting video information of each monitoring point;
s6: and the commander conducts traffic dispersion and regulation according to the information of each monitoring point integrated by the central processing host.
Preferably, in S6, the method for directing and regulating traffic of the person includes the following steps:
s6-1: setting a target traffic flow value of a certain road section as x vehicles/hour, and when the monitored traffic flow exceeds the corresponding proportion of the target value, searching traffic flow data of a previous monitoring point forward along the forward direction and the reverse direction according to the road section until a monitoring point lower than the target traffic flow is found;
s6-2: whether an accident situation occurs is searched between the next monitoring point lower than the monitoring point of the target traffic flow and the monitoring point lower than the target traffic flow according to the unmanned aerial vehicle;
s6-3: when observing that an accident occurs in real-time video data sent by the monitoring unmanned aerial vehicle, a commander immediately calls a dispersion member to reach a specified road section to disperse traffic;
s6-4: a commander observes that no accident occurs in real-time video data sent by a monitoring unmanned aerial vehicle, plays evacuation information along a path from a monitoring point lower than a target traffic flow to a monitoring point where the traffic flow begins to exceed a target value through a loudspeaker on the monitoring unmanned aerial vehicle, and meanwhile calls an evacuation person to reach a specified road section for traffic flow evacuation.
Preferably, in S1, the normal traffic flow rate is [ (traffic volume on weekends 20: 00-6: 00) × 0.2+ (traffic volume on weekends 6: 00-20: 00) × 0.8+ (traffic volume on weekends 20: 00-6: 00) × 0.1+ (traffic volume on weekends 6: 00-20: 00)/(7 × 24).
Preferably, in S2, the microwave detector is laterally mounted on a vertical rod at the roadside of the national and provincial trunk, and the video detector is positively mounted on a gantry or an L-shaped beam of the national and provincial trunk.
Preferably, in S3, the video detector defines a virtual coil in the video range through the camera, and the vehicle enters the detection area to change the background gray scale, so as to sense the presence of the vehicle and detect the vehicle flow rate and speed.
Preferably, in S5, the data processing host sends the vehicle speed and the vehicle flow rate monitored by the video detector and the vehicle speed and the vehicle flow rate monitored by the microwave detector, and the central processing host mainly uses the data monitored by the microwave detector and performs data replacement by using the data monitored by the video detector as an auxiliary when integrating the information of each monitoring point.
Preferably, in S6-1, the step of taking the measure is performed when the traffic flow exceeds 200% of the target value on holidays, and the step of taking the measure is performed when the traffic flow exceeds 400% of the target value on ordinary weekends or on working days.
Preferably, in S6-4, the grooming information played by the speaker of the monitoring drone includes a reminder to appropriately increase the driving speed without affecting traffic safety, a reminder to change the driving route, and a separate reminder to the driver who does not meet the driving regulations.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, a mode of combining a microwave detector and a video detector is adopted to monitor information, the microwave detector utilizes a radar antenna to emit electromagnetic waves, when a vehicle passes through, the waves are reflected back, and then the waves are received and calculated by the radar detector to measure the vehicle speed and the vehicle flow, the vehicle speeds and the vehicle flows of a plurality of lanes are measured, but the monitoring precision is slightly low, the monitoring precision of the video detector is high, but all lanes cannot be considered, therefore, the microwave detector and the video detector are combined, a central processing host integrates the information of each monitoring point, takes the data monitored by the microwave detector as the main part, takes the data monitored by the video detector as the auxiliary part to replace the data, thereby better meeting the modern monitoring requirements, in addition, different monitoring points are arranged, a positioning chip is arranged on each monitoring point, and a monitoring unmanned aerial vehicle is arranged at the monitoring point position of the national provincial trunk starting end or the terminal, once the traffic flow at a certain point is abnormal, the position of a monitoring point can be quickly locked, and a monitoring unmanned aerial vehicle is dispatched to comprehensively monitor and dredge the situation before a commander is dispatched to the site;
2. in the invention, when traffic flow is dredged according to traffic flow, people are not simply and directly sent to the most congested position to dredge, but the situation observed by an unmanned aerial vehicle is monitored to select a scheme, and if the situation is unexpected, people are immediately sent to the place where the traffic flow is obviously increased to dredge, but not to the most congested position;
3. in the invention, the lowest dispersion data of the traffic flow is treated differently according to the conditions of holidays and normal days, as more people are on holidays, once the traffic flow at a certain position is increased, the vehicle continuously drives in, the influence on the traffic pressure is great, so that measures are taken when the holiday and festival exceed 200% of the target value, and the traffic pressure is the peak time at most at ordinary times, the pressure can be naturally reduced before and after the peak time, the traffic flow can be naturally reduced in a faster time under the condition that the traffic flow is not overlarge at the time, if the traffic flow is monitored to exceed 400 percent of the target value, the traffic flow is obviously large, the traffic flow can not be rapidly and naturally reduced in a shorter time, therefore, measures are taken to dredge traffic, and the situation that the dispatching of people is insufficient due to the fact that the number of dispatched people is small and the number of places needing to dredge traffic is large due to the fact that the traffic flow enters the stage of traffic flow reduction before people arrive at the site is avoided.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments.
The embodiment provided by the invention comprises the following steps: a method for monitoring traffic flow information of national and provincial trunk lines comprises the following steps:
s1: monitoring points are divided according to the normal traffic flow of the national and provincial trunk traffic;
s2: a positioning chip is arranged on each monitoring point, a microwave detector and a video detector are arranged above a road where the monitoring points are located, a monitoring unmanned aerial vehicle is arranged at the monitoring point position of a trunk line starting end or a terminal in China and provinces, and a loudspeaker, a panoramic camera, a measurement and control camera and a wireless communication chip are arranged on the monitoring unmanned aerial vehicle;
s3: the video of the road section collected by the video detector through the camera is transmitted to a video processor of a traffic command center in charge of the road section through an optical transceiver, video information processed by the video processor is fed back to a monitor of the traffic command center through a video distributor, a commander monitors traffic flow through the monitor, and vehicle speed and traffic flow information detected by the video detector are converted into electric signals through a data collector and then are transmitted to a data processing host of the traffic command center through a wireless communication chip;
s4: the microwave detector utilizes the radar antenna to emit electromagnetic waves, when a vehicle passes through, the electromagnetic waves are reflected back, then the waves are received and calculated by the radar detector, the vehicle speed and the vehicle flow are measured, and the data are converted into electric signals through the data acquisition machine and then are sent to the data processing host of the traffic command center through the wireless communication chip;
s5: the data processing host returns the traffic flow information received from each monitoring point to a central processing host of the traffic command center, and the central processing host integrates the traffic flow information, the vehicle speed and the shooting video information of each monitoring point;
s6: and the commander conducts traffic dispersion and regulation according to the information of each monitoring point integrated by the central processing host.
Further, in S6, the method for directing and controlling traffic of the commander includes the following steps:
s6-1: setting a target traffic flow value of a certain road section as x vehicles/hour, and when the monitored traffic flow exceeds the corresponding proportion of the target value, searching traffic flow data of a previous monitoring point forward along the forward direction and the reverse direction according to the road section until a monitoring point lower than the target traffic flow is found;
s6-2: whether an accident situation occurs is searched between the next monitoring point lower than the monitoring point of the target traffic flow and the monitoring point lower than the target traffic flow according to the unmanned aerial vehicle;
s6-3: when observing that an accident occurs in real-time video data sent by the monitoring unmanned aerial vehicle, a commander immediately calls a dispersion member to reach a specified road section to disperse traffic;
s6-4: a commander observes that no accident occurs in real-time video data sent by a monitoring unmanned aerial vehicle, plays evacuation information along a path from a monitoring point lower than a target traffic flow to a monitoring point where the traffic flow begins to exceed a target value through a loudspeaker on the monitoring unmanned aerial vehicle, and meanwhile calls an evacuation person to reach a specified road section for traffic flow evacuation.
Further, in S1, the normal traffic flow rate is [ (traffic volume on weekends 20: 00-6: 00) × 0.2+ (traffic volume on weekends 6: 00-20: 00) × 0.8+ (traffic volume on weekends 20: 00-6: 00) × 0.1+ (traffic volume on weekends 6: 00-20: 00) × 0.9]/(7 × 24). The traffic volume at night is small, so the weight proportion is small, the traffic volume on weekends is not well compared with the traffic volume on working days, so the traffic volume and the traffic volume are added, the normal traffic volume in 7 days of a week is measured, the average traffic volume per hour is calculated again every day, the average traffic volume is calculated for a plurality of times according to seasons and road sections, and finally the average value is taken again as the final normal traffic volume value.
Further, in S2, the microwave detector is laterally mounted on a vertical post at the roadside of the national and provincial trunk, and the video detector is positively mounted on a gantry or an L-shaped beam of the national and provincial trunk.
Further, in S3, the video detector defines a virtual coil in the video range through the camera, and the vehicle enters the detection area to change the background gray level, sense the presence of the vehicle, and detect the vehicle flow rate and speed.
Further, in S5, the data processing host sends the vehicle speed and the traffic flow rate monitored by the video detector, and also sends the vehicle speed and the traffic flow rate monitored by the microwave detector, and the central processing host integrates the information of each monitoring point, mainly uses the data monitored by the microwave detector, and uses the data monitored by the video detector as an auxiliary to replace the data. The data precision of the microwave detector is low, but the monitoring of all lanes can be considered, the data precision of the video detector is high, but the data precision of the video detector basically monitors a single lane, so that the data monitored by the microwave detector is taken as a main body, and the data monitored by the video detector replaces the corresponding part of the data monitored by the microwave detector, so that the monitoring range is still large while the precision is improved.
Furthermore, in S6-1, when there are more people in holidays, once the traffic flow increases in a certain place, the vehicle continuously drives in, the influence on the traffic pressure is great, so that measures are taken when the holiday exceeds 200% of the target value, the traffic pressure is the maximum peak time at ordinary weekends or working days, the pressure can be naturally reduced before and after the peak time, the traffic flow can be naturally reduced in a faster time under the condition that the traffic flow is not overlarge at the time, if the traffic flow is monitored to exceed 400 percent of the target value, the traffic flow is obviously large, the traffic flow can not be rapidly and naturally reduced in a short time, so measures are taken to dredge the traffic, because personnel have certain distance from the trunk, avoid personnel to arrive the on-the-spot traffic flow and have entered the stage that the traffic flow reduces, lead to dispatching the condition that personnel's quantity is not enough.
Further, in S6-4, the grooming information played by the speaker of the monitoring drone includes a reminder to appropriately increase the driving speed without affecting traffic safety, a reminder to change the driving route, and a separate reminder to the driver who does not meet the driving regulations. The driver can be reminded to adjust the driving speed, the driving route and the like by monitoring the proper reminding of the unmanned aerial vehicle, so that the traffic pressure is relieved.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Claims (8)
1. A method for monitoring traffic flow information of national and provincial trunk lines is characterized by comprising the following steps:
s1: monitoring points are divided according to the normal traffic flow of the national and provincial trunk traffic;
s2: a positioning chip is arranged on each monitoring point, a microwave detector and a video detector are arranged above a road where the monitoring points are located, a monitoring unmanned aerial vehicle is arranged at the monitoring point position of a trunk line starting end or a terminal in China and provinces, and a loudspeaker, a panoramic camera, a measurement and control camera and a wireless communication chip are arranged on the monitoring unmanned aerial vehicle;
s3: the video of the road section collected by the video detector through the camera is transmitted to a video processor of a traffic command center in charge of the road section through an optical transceiver, video information processed by the video processor is fed back to a monitor of the traffic command center through a video distributor, a commander monitors traffic flow through the monitor, and vehicle speed and traffic flow information detected by the video detector are converted into electric signals through a data collector and then are transmitted to a data processing host of the traffic command center through a wireless communication chip;
s4: the microwave detector utilizes the radar antenna to emit electromagnetic waves, when a vehicle passes through, the electromagnetic waves are reflected back, then the waves are received and calculated by the radar detector, the vehicle speed and the vehicle flow are measured, and the data are converted into electric signals through the data acquisition machine and then are sent to the data processing host of the traffic command center through the wireless communication chip;
s5: the data processing host returns the traffic flow information received from each monitoring point to a central processing host of the traffic command center, and the central processing host integrates the traffic flow information, the vehicle speed and the shooting video information of each monitoring point;
s6: and the commander conducts traffic dispersion and regulation according to the information of each monitoring point integrated by the central processing host.
2. The method for monitoring national and provincial trunk traffic flow information according to claim 1, wherein in the step S6, the method for traffic dispersion and regulation of commanders comprises the following steps:
s6-1: setting a target traffic flow value of a certain road section as x vehicles/hour, and when the monitored traffic flow exceeds the corresponding proportion of the target value, searching traffic flow data of a previous monitoring point forward along the forward direction and the reverse direction according to the road section until a monitoring point lower than the target traffic flow is found;
s6-2: whether an accident situation occurs is searched between the next monitoring point lower than the monitoring point of the target traffic flow and the monitoring point lower than the target traffic flow according to the unmanned aerial vehicle;
s6-3: when observing that an accident occurs in real-time video data sent by the monitoring unmanned aerial vehicle, a commander immediately calls a dispersion member to reach a specified road section to disperse traffic;
s6-4: a commander observes that no accident occurs in real-time video data sent by a monitoring unmanned aerial vehicle, plays evacuation information along a path from a monitoring point lower than a target traffic flow to a monitoring point where the traffic flow begins to exceed a target value through a loudspeaker on the monitoring unmanned aerial vehicle, and meanwhile calls an evacuation person to reach a specified road section for traffic flow evacuation.
3. The method for monitoring the national and provincial trunk traffic flow information according to claim 1, wherein the method comprises the following steps: in S1, the normal traffic flow rate is [ (traffic volume on weekends 20: 00-6: 00) × 0.2+ (traffic volume on weekends 6: 00-20: 00) × 0.8+ (traffic volume on weekends 20: 00-6: 00) × 0.1+ (traffic volume on weekends 6: 00-20: 00)/(7: 24).
4. The method for monitoring the national and provincial trunk traffic flow information according to claim 1, wherein the method comprises the following steps: in the S2, the microwave detector is laterally installed on a vertical rod at the roadside of the national and provincial trunk, and the video detector is positively installed on a portal frame or an L-shaped beam of the national and provincial trunk.
5. The method for monitoring the national and provincial trunk traffic flow information according to claim 1, wherein the method comprises the following steps: in the step S3, the video detector defines a virtual coil in the video range through the camera, and the vehicle enters the detection area to change the background gray scale, sense the presence of the vehicle, and detect the vehicle flow rate and speed.
6. The method for monitoring the national and provincial trunk traffic flow information according to claim 1, wherein the method comprises the following steps: in S5, the data processing host sends the vehicle speed and the traffic flow monitored by the video detector and the vehicle speed and the traffic flow monitored by the microwave detector, and the central processing host performs data replacement by mainly using the data monitored by the microwave detector and by secondarily using the data monitored by the video detector when integrating the information of each monitoring point.
7. The method for monitoring the national and provincial trunk traffic flow information according to claim 2, wherein the method comprises the following steps: in S6-1, when the day is assumed, measures are taken when the traffic flow exceeds 200% of the target value, and when the traffic flow exceeds 400% of the target value on a usual weekend or on a working day.
8. The method for monitoring the national and provincial trunk traffic flow information according to claim 2, wherein the method comprises the following steps: in S6-4, the grooming information played by the speaker of the monitoring drone includes a reminder to appropriately increase the driving speed without affecting traffic safety, a reminder to change the driving route, and a separate reminder to drivers who do not meet the driving regulations.
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