CN115171379B - Emergency response control system based on intelligent traffic - Google Patents
Emergency response control system based on intelligent traffic Download PDFInfo
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- CN115171379B CN115171379B CN202210773370.3A CN202210773370A CN115171379B CN 115171379 B CN115171379 B CN 115171379B CN 202210773370 A CN202210773370 A CN 202210773370A CN 115171379 B CN115171379 B CN 115171379B
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- 238000012544 monitoring process Methods 0.000 claims abstract description 16
- 238000000034 method Methods 0.000 claims description 9
- 238000013507 mapping Methods 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 3
- 230000001939 inductive effect Effects 0.000 abstract description 4
- 206010039203 Road traffic accident Diseases 0.000 description 8
- 238000004364 calculation method Methods 0.000 description 6
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
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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
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
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- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses an emergency response control system based on intelligent traffic, which relates to the technical field of traffic control and comprises a traffic monitoring module, a vehicle-mounted terminal, a variable electronic information board, a traffic analysis module and a database; the traffic monitoring module is a plurality of vehicle detectors distributed in each direction of the road and is used for monitoring traffic flow information in real time and sharing the monitored traffic flow information to the control center; the vehicle-mounted terminal is arranged on the vehicle and used for collecting the position of the vehicle and accident alarm information and transmitting the collected information to the control center; the control center is used for receiving traffic flow information, vehicle positions and accident alarming information, comprehensively analyzing by utilizing the traffic analysis module, judging the traffic state of the current road and the speed limit value corresponding to the traffic state, displaying the speed limit value through the last road and the variable electronic information board on the current road, effectively prompting the road traffic condition and inducing the vehicle, and preventing the accident.
Description
Technical Field
The invention relates to the technical field of traffic control, in particular to an emergency response control system based on intelligent traffic.
Background
The urban expressway has the characteristics of larger design traffic capacity, high transportation efficiency, strong accessibility and high running speed. However, as the attractiveness of expressways to travelers increases greatly, a large number of vehicles use expressways, so that the traffic demand of expressways exceeds the supply capacity thereof, and the probability of occurrence of traffic accidents and the severity of the accidents increase sharply.
At present, the expressway traffic control and accident management techniques have the following disadvantages: 1. the discovery and reaction time for traffic accidents are long. When a traffic accident happens, related departments cannot find the traffic accident in time, determine the accident type, formulate a corresponding traffic flow guiding scheme, induce vehicles and prevent the accident; 2. there is a lack of effective management and control measures at the place where traffic accidents occur. Related studies have shown that about 30% of traffic accidents originate from secondary collisions at the site of the accident. Therefore, the implementation of reasonable traffic control measures on the road section upstream of the accident place is beneficial to reducing the secondary accidents caused by the current accidents; based on the defects, the invention provides an emergency response control system based on intelligent traffic.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, the invention provides an emergency response control system based on intelligent traffic.
To achieve the above object, an embodiment according to a first aspect of the present invention provides an emergency response control system based on intelligent traffic, including a traffic monitoring module, a vehicle-mounted terminal, a variable electronic information board, a traffic analysis module, and a database;
the traffic monitoring module is a plurality of vehicle detectors distributed in each direction of the road and is used for monitoring traffic flow information in real time and sharing the monitored traffic flow information to the control center;
the vehicle-mounted terminal is arranged on the vehicle and used for collecting the position of the vehicle and accident alarm information and transmitting the collected information to the control center; the control center is used for receiving traffic flow information, vehicle positions and accident alarm information, comprehensively analyzing by utilizing the traffic analysis module, calculating to obtain a road condition threat coefficient CF, and judging that the speed limit value corresponding to the current road is R1 according to the road condition threat coefficient CF; the method comprises the following steps: a mapping relation table of the road condition threat coefficient range and the speed limit value is stored in the database;
the traffic analysis module is used for displaying the speed limit value R1 through a variable electronic information board on the previous road and the current road so as to prompt the road traffic condition and induce vehicles.
Further, the specific analysis steps of the traffic analysis module are as follows:
when accident alarm information is received, acquiring traffic flow information of a road where an accident place is located;
counting the number of vehicles on the current road as L1; acquiring the type of a vehicle on the current road, and calculating to obtain a model influence coefficient LH; vehicle types include large, medium, and small vehicles;
acquiring the speed of a vehicle on a current road and marking the speed as Vi; comparing Vi with a preset vehicle speed threshold value; calculating to obtain a vehicle speed influence coefficient CS;
acquiring the number of lanes of the current road and marking as C1; acquiring a region where a current road is located, and acquiring weather forecast data of the region within 24 hours of the current day, thereby acquiring a rainfall value G1 of corresponding time;
the road section visibility N1 of the current time of the area is obtained, and the road condition threat coefficient CF is calculated by using the formula CF= (L1×g3+LHXg4+CS×g5+G1×g6)/(N1×g7+C1×g8), wherein G3, G4, G5, G6, G7 and G8 are coefficient factors.
Further, the traffic flow information includes a vehicle traveling direction, a traveling speed and a vehicle type for reflecting traffic congestion on the road.
Further, the concrete calculation process of the model influence coefficient LH is as follows:
the number of large vehicles is marked as La, the number of medium vehicles is marked as Lc, and the number of small vehicles is marked as Ld; the model influence coefficient LH is calculated by using the formula lh=la×a1+lc×a2+ld×a3, wherein a1, a2, a3 are coefficient factors, and a1 > a2 > a3.
Further, the specific calculation process of the vehicle speed influence coefficient CS is as follows:
counting the number of times that Vi is larger than a preset vehicle speed threshold value as Zb1, and when Vi is larger than the preset vehicle speed threshold value, obtaining the difference between Vi and the preset vehicle speed threshold value and summing to obtain a vehicle speed overtime ZT; the vehicle speed influence coefficient CS is calculated by using the formula cs=zb1×g1+zt×g2, where g1, g2 are coefficient factors.
Further, the road segment visibility detection device is specifically one or more of a road segment visibility detector, a visibility observer and a visibility weather phenomenon instrument.
Further, the control center is connected with the variable electronic information boards in a distributed mode through the nodes of the Internet of things, and the variable electronic information boards are in one-to-one correspondence with the vehicle detectors and are arranged on roads at intervals.
Compared with the prior art, the invention has the beneficial effects that:
1. the vehicle detector is used for monitoring traffic flow information in real time and sharing the monitored traffic flow information to the control center; the vehicle-mounted terminal is arranged on the vehicle and used for collecting the position of the vehicle and accident alarm information and transmitting the collected information to the control center; the control center is used for receiving traffic flow information, vehicle positions and accident alarming information, comprehensively analyzing by utilizing the traffic analysis module, judging the traffic state of the current road and the speed limit value corresponding to the traffic state, displaying the speed limit value through the last road and the variable electronic information board on the current road, effectively prompting the road traffic condition and inducing the vehicle to prevent accidents;
2. when the accident alarm information is received, the traffic analysis module is used for acquiring traffic flow information of a road where the accident place is located; counting the number of vehicles on the current road, obtaining the types of the vehicles on the current road, and calculating to obtain a model influence coefficient LH; the speed of the vehicle on the current road is obtained and compared with a preset speed threshold value, a speed influence coefficient CS is obtained through calculation, a road condition threat coefficient CF is obtained through calculation by combining the number of lanes, the rainfall value and the road section visibility, the speed limit value of the current road is determined to be R1 according to the road condition threat coefficient CF, the speed-variable control can be carried out on traffic accidents, the speed-variable control method is particularly suitable for the situation of emergency occurrence, and the road safety and the driving efficiency are improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of an intelligent traffic-based emergency response control system according to the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the emergency response control system based on intelligent traffic comprises a traffic monitoring module, a control center, a vehicle-mounted terminal, a variable electronic information board, a traffic analysis module and a database;
the traffic monitoring module is a plurality of vehicle detectors distributed on each direction of the road, wherein the vehicle detectors are arranged at preset intervals and are used for monitoring traffic flow information in real time and sharing the monitored traffic flow information to the control center; the traffic flow information comprises a vehicle running direction, a running speed and a vehicle type and is used for reflecting traffic jam conditions on the road;
the vehicle-mounted terminal is arranged on the vehicle and used for collecting the position of the vehicle and accident alarm information and transmitting the collected information to the control center; the control center is connected with the variable electronic information boards in a distributed mode through the nodes of the Internet of things, and the variable electronic information boards are in one-to-one correspondence with the vehicle detectors and are arranged at intervals on a road;
the control center is used for receiving traffic flow information, vehicle positions and accident alarming information, comprehensively analyzing by utilizing the traffic analysis module, judging the traffic state of the current road and the speed limit value corresponding to the traffic state, displaying the speed limit value through the variable electronic information board on the previous road and the current road, effectively prompting the road traffic condition and inducing the vehicle to prevent accidents;
the specific analysis steps of the traffic analysis module are as follows:
when accident alarm information is received, acquiring traffic flow information of a road where an accident place is located;
counting the number of vehicles on the current road as L1; acquiring the type of a vehicle on the current road, wherein the type of the vehicle comprises a large-sized vehicle, a medium-sized vehicle and a small-sized vehicle; the number of large vehicles is marked as La, the number of medium vehicles is marked as Lc, and the number of small vehicles is marked as Ld; wherein la+lc+ld=l1;
calculating a vehicle model influence coefficient LH by using a formula LH=La×a1+Lc×a2+Ld×a3, wherein a1, a2 and a3 are coefficient factors, and a1 > a2 > a3;
acquiring the speed of a vehicle on a current road and marking the speed as Vi; comparing Vi with a preset vehicle speed threshold value; counting the number of times that Vi is larger than a preset vehicle speed threshold value as Zb1, and when Vi is larger than the preset vehicle speed threshold value, obtaining the difference between Vi and the preset vehicle speed threshold value and summing to obtain a vehicle speed overtime ZT; calculating a vehicle speed influence coefficient CS by using a formula CS=Zb1×g1+ZT×g2, wherein g1 and g2 are coefficient factors;
acquiring the number of lanes of the current road and marking as C1; acquiring a region where a current road is located, and acquiring weather forecast data of the region within 24 hours of the current day, thereby acquiring a rainfall value G1 of corresponding time;
the method comprises the steps that road section visibility N1 of the current time of the area is obtained, and detection equipment of the road section visibility is specifically one or more of a road section visibility detector, a visibility observer and a visibility weather phenomenon instrument; calculating the road condition threat coefficient CF by using a formula CF= (L1×g3+LHXg4+CS×g5+G1×g6)/(N1×g7+C1×g8), wherein G3, G4, G5, G6, G7 and G8 are coefficient factors; the greater the road condition threat coefficient CF is, the more dangerous the road driving is;
the speed limit value of the current road is determined to be R1 according to the road condition threat coefficient CF, and the method specifically comprises the following steps: the database stores a mapping relation table of the road condition threat coefficient range and the speed limit value; wherein the speed limit value R1 is expressed as the highest speed limit of the current road; the larger the road condition threat coefficient CF is, the smaller the speed limit value is;
the traffic analysis module is used for feeding back the speed limit value R1 to the control center, and the control center is used for displaying the speed limit value R1 through the variable information board on the road of the last section and the current road, so that the road traffic condition is effectively prompted and vehicles are induced, and accidents are prevented;
the invention collects real-time traffic flow information on a road section to be controlled in real time by arranging the vehicle detector, installs the vehicle-mounted intelligent terminal on each vehicle to collect vehicle position and accident alarm information, transmits the collected information to the control center, and the control center utilizes the traffic analysis module to comprehensively analyze the collected information, judges the traffic state of the current road and the speed limit value corresponding to the traffic state, displays the speed limit value through the last road and the variable electronic information board on the current road, effectively prompts the road traffic condition and induces the vehicle to prevent accidents.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
The working principle of the invention is as follows:
the traffic monitoring module is a plurality of vehicle detectors distributed in all directions of a road and used for monitoring traffic flow information in real time and sharing the monitored traffic flow information to the control center when the traffic monitoring module works; the vehicle-mounted terminal is arranged on the vehicle and used for collecting the position of the vehicle and accident alarm information and transmitting the collected information to the control center; the control center is used for receiving traffic flow information, vehicle positions and accident alarming information, comprehensively analyzing by utilizing the traffic analysis module, judging the traffic state of the current road and the speed limit value corresponding to the traffic state, displaying the speed limit value through the variable electronic information board on the previous road and the current road, effectively prompting the road traffic condition and inducing the vehicle to prevent accidents;
when the accident alarm information is received, the traffic analysis module is used for acquiring traffic flow information of a road where the accident place is located; counting the number of vehicles on the current road, obtaining the types of the vehicles on the current road, and calculating to obtain a model influence coefficient LH; the speed of the vehicle on the current road is obtained and compared with a preset speed threshold value, a speed influence coefficient CS is obtained through calculation, a road condition threat coefficient CF is obtained through calculation by combining the number of lanes, the rainfall value and the road section visibility, the speed limit value of the current road is determined to be R1 according to the road condition threat coefficient CF, the speed-variable control can be carried out on traffic accidents, the speed-variable control method is particularly suitable for the situation of emergency occurrence, and the road safety and the driving efficiency are improved.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (3)
1. The emergency response control system based on intelligent traffic is characterized by comprising a traffic monitoring module, a vehicle-mounted terminal, a variable electronic information board, a traffic analysis module and a database;
the traffic monitoring module is a plurality of vehicle detectors distributed in each direction of the road and is used for monitoring traffic flow information in real time and sharing the monitored traffic flow information to the control center; the traffic flow information comprises a vehicle running direction, a running speed and a vehicle type and is used for reflecting traffic jam conditions on the road;
the vehicle-mounted terminal is arranged on the vehicle and used for collecting the position of the vehicle and accident alarm information and transmitting the collected information to the control center; the control center is used for receiving traffic flow information, vehicle positions and accident alarm information, comprehensively analyzing by utilizing the traffic analysis module and calculating to obtain a road condition threat coefficient CF; the specific analysis steps of the traffic analysis module are as follows:
when accident alarm information is received, acquiring traffic flow information of a road where an accident place is located;
counting the number of vehicles on the current road as L1; acquiring the type of a vehicle on the current road, wherein the type of the vehicle comprises a large-sized vehicle, a medium-sized vehicle and a small-sized vehicle; the number of large vehicles is marked as La, the number of medium vehicles is marked as Lc, and the number of small vehicles is marked as Ld;
calculating a vehicle model influence coefficient LH by using a formula LH=La×a1+Lc×a2+Ld×a3, wherein a1, a2 and a3 are coefficient factors, and a1 > a2 > a3;
acquiring the speed of a vehicle on a current road and marking the speed as Vi; comparing Vi with a preset vehicle speed threshold value; counting the number of times that Vi is larger than a preset vehicle speed threshold value as Zb1, and when Vi is larger than the preset vehicle speed threshold value, obtaining the difference between Vi and the preset vehicle speed threshold value and summing to obtain a vehicle speed overtime ZT; calculating a vehicle speed influence coefficient CS by using a formula CS=Zb1×g1+ZT×g2, wherein g1 and g2 are coefficient factors;
acquiring the number of lanes of the current road and marking as C1; acquiring a region where a current road is located, and acquiring weather forecast data of the region within 24 hours of the current day, thereby acquiring a rainfall value G1 of corresponding time;
obtaining the road section visibility N1 of the current time of the area, and calculating by using a formula CF= (L1×g3+LHXg4+CS×g5+G1×g6)/(N1×g7+C1×g8), wherein G3, G4, G5, G6, G7 and G8 are coefficient factors;
judging the corresponding speed limit value of the current road as R1 according to the road condition threat coefficient CF; the method comprises the following steps:
a mapping relation table of the road condition threat coefficient range and the speed limit value is stored in the database; determining a speed limit value corresponding to the road condition threat coefficient CF based on the mapping relation table and marking the speed limit value as R1;
the traffic analysis module is used for displaying the speed limit value R1 through a variable electronic information board on the previous road and the current road so as to prompt the road traffic condition and induce vehicles.
2. The intelligent traffic-based emergency response control system according to claim 1, wherein the road segment visibility detection device is one or more of a road segment visibility detector, a visibility observer, and a visibility weather phenomenon instrument.
3. The intelligent traffic-based emergency response control system according to claim 1, wherein the control center and the variable electronic information boards are connected in a distributed manner through nodes of the internet of things, and the variable electronic information boards are in one-to-one correspondence with the vehicle detectors and are arranged at intervals on the road.
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