CN115171379A - Emergency response control system based on intelligent traffic - Google Patents
Emergency response control system based on intelligent traffic Download PDFInfo
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- CN115171379A CN115171379A CN202210773370.3A CN202210773370A CN115171379A CN 115171379 A CN115171379 A CN 115171379A CN 202210773370 A CN202210773370 A CN 202210773370A CN 115171379 A CN115171379 A CN 115171379A
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- 206010039203 Road traffic accident Diseases 0.000 description 8
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- G—PHYSICS
- G08—SIGNALLING
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- 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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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 on each direction of a road and 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 a vehicle and used for collecting vehicle position 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 using 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 section of road and the current road, effectively prompting the road traffic condition and inducing vehicles, and preventing accidents.
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 high transportation efficiency, strong accessibility and high driving speed, and has larger design traffic capacity. However, as the attractiveness of expressways to travelers has increased significantly, a large number of vehicles use expressways, resulting in an increase in the traffic demand of expressways beyond their supply capacity, and a dramatic increase in the probability of traffic accidents and the severity of accidents.
At present, the following defects exist in the expressway traffic control and accident management technology: 1. the discovery and the reaction time of the traffic accident are longer. When a traffic accident occurs, related departments cannot find the traffic accident in time, determine the type of the accident, make a corresponding traffic flow dispersion scheme, induce vehicles and prevent the accident; 2. there is a lack of effective management and control measures at the place of occurrence of traffic accidents. Related studies have shown that about 30% of traffic accidents result from secondary collisions at the accident site. Therefore, reasonable traffic control measures are implemented on the upstream road section of the accident occurrence position, so that secondary accidents caused by the current accidents are reduced; based on the defects, the invention provides an emergency response control system based on intelligent traffic.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides an emergency response control system based on intelligent traffic.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides an intelligent traffic-based emergency response control system, which includes a traffic monitoring module, a vehicle-mounted terminal, a variable electronic intelligence board, a traffic analysis module, and a database;
the traffic monitoring module is a plurality of vehicle detectors distributed on each direction of a road and 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 a vehicle and used for collecting vehicle position 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, performing comprehensive analysis by using a traffic analysis module, calculating 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 specific 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 the variable electronic information boards on the previous section of road and the current road so as to prompt the road traffic condition and induce vehicles.
Further, the traffic analysis module specifically analyzes the steps as follows:
when accident alarm information is received, acquiring traffic flow information of a road where an accident occurs;
counting the number of vehicles on the current road as L1; obtaining the type of a vehicle on a current road, and calculating to obtain a vehicle type influence coefficient LH; the vehicle types include large-sized vehicles, medium-sized vehicles, and small-sized vehicles;
acquiring the speed of a vehicle on the 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 a current road and marking the number as C1; acquiring the area of a current road, and acquiring 24-hour weather forecast data of the area on the same day so as to acquire a rainfall value G1 at a corresponding time;
obtaining the visibility N1 of the road section at the current time of the area, and calculating a road condition threat coefficient CF by using a formula CF = (L1 × G3+ LH × G4+ CS × G5+ G1 × G6)/(N1 × G7+ C1 × G8), wherein G3, G4, G5, G6, G7 and G8 are coefficient factors.
Further, the traffic flow information comprises vehicle driving direction, driving speed and vehicle type, and is used for reflecting the traffic jam condition on the road.
Further, the specific calculation process of the vehicle type influence coefficient LH is as follows:
the number of large-sized vehicles is marked as La, the number of medium-sized vehicles is marked as Lc, and the number of small-sized vehicles is marked as Ld; the vehicle model influence coefficient LH is calculated by using a formula LH = La × a1+ Lc × a2+ Ld × a3, where a1, a2, and 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 to be Zb1, and when Vi is larger than the preset vehicle speed threshold value, acquiring the difference value between Vi and the preset vehicle speed threshold value and summing the difference value to obtain a vehicle speed excess value ZT; and calculating the vehicle speed influence coefficient CS by using a formula CS = Zb1 × g1+ ZT × g2, wherein g1 and g2 are coefficient factors.
Further, the detection device for the visibility of the road section is specifically one or more of a road section visibility detector, a visibility observation instrument 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 correspond to the vehicle detectors one to one and are arranged on the road 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 a vehicle and used for collecting vehicle position 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, performing comprehensive analysis by using a traffic analysis module, judging the traffic state of the current road and a speed limit value corresponding to the traffic state, and displaying the speed limit value through a variable electronic information board on the previous road and the current road, thereby effectively prompting the road traffic condition and inducing vehicles 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 an accident occurs; counting the number of vehicles on the current road, acquiring the types of the vehicles on the current road, and calculating to obtain a vehicle type influence coefficient LH; the method comprises the steps of obtaining the speed of a vehicle on a current road, comparing the speed with a preset speed threshold value, calculating a speed influence coefficient CS, calculating a road condition threat coefficient CF according to the number of lanes, a rainfall value and the visibility of a road section, determining the speed limit value of the current road as R1 according to the road condition threat coefficient CF, performing variable speed control on traffic accidents, and is particularly suitable for the situation of emergency, and improving the safety and the driving efficiency of the road.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a system block diagram of an emergency response control system based on intelligent traffic according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present 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 intelligence board, a traffic analysis module and a database;
the traffic monitoring module is a plurality of vehicle detectors distributed on each direction of a road, wherein the vehicle detectors are arranged according to 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 the driving direction of the vehicle, the driving speed and the type of the vehicle and is used for reflecting the traffic jam condition on the road;
the vehicle-mounted terminal is arranged on a vehicle and used for collecting vehicle position 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 manner through the nodes of the Internet of things, and the variable electronic information boards correspond to the vehicle detectors one by one and are arranged on the road at intervals;
the control center is used for receiving traffic flow information, vehicle positions and accident alarm information, comprehensively analyzing by using 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 section of road and the current road, effectively prompting the road traffic condition and inducing vehicles, and preventing accidents;
the traffic analysis module comprises the following specific analysis steps:
when the accident alarm information is received, acquiring traffic flow information of a road where an accident occurs;
counting the number of vehicles on the current road as L1; obtaining vehicle types on a current road, wherein the vehicle types comprise large vehicles, medium vehicles and small vehicles; 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 the current road and marking the speed as Vi; comparing Vi with a preset vehicle speed threshold; counting the number of times that Vi is larger than a preset vehicle speed threshold value to be Zb1, and when Vi is larger than the preset vehicle speed threshold value, acquiring the difference value between Vi and the preset vehicle speed threshold value and summing to obtain a vehicle speed excess value 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 a current road and marking the number as C1; acquiring an area of a current road, and acquiring 24-hour weather forecast data of the area on the same day so as to acquire a rainfall value G1 at a corresponding time;
acquiring the visibility N1 of a road section at the current time of the area, wherein the detection equipment of the visibility of the road section is one or more of a road section visibility detector, a visibility observation instrument and a visibility weather phenomenon instrument; calculating a road condition threat coefficient CF by using a formula CF = (L1 × G3+ LH × G4+ CS × G5+ G1 × G6)/(N1 × G7+ C1 × G8), wherein G3, G4, G5, G6, G7 and G8 are coefficient factors; the larger the road condition threat coefficient CF is, the more dangerous the road driving is;
determining the speed limit value of the current road as R1 according to the road condition threat coefficient CF, specifically: a mapping relation table of the road condition threat coefficient range and the speed limit value is stored in the database; 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 a variable electronic information board on the previous section of road and the current road, effectively prompting the road traffic condition and inducing vehicles, and preventing accidents;
the invention collects real-time traffic flow information on a road section to be controlled in real time by arranging a vehicle detector, a vehicle-mounted intelligent terminal is arranged on each vehicle to collect vehicle position and accident alarm information, the collected information is transmitted to a control center, the control center utilizes a traffic analysis module to carry out comprehensive analysis on 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 a previous section of road and a variable electronic information board on the current road, effectively prompts the road traffic condition and induces the vehicles, and prevents accidents.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the most approximate real condition, and the preset parameters and the preset threshold values in the formula are set by the technical personnel in the field according to the actual condition or obtained by simulating a large amount of data.
The working principle of the invention is as follows:
when the intelligent traffic-based emergency response control system works, the traffic monitoring module is a plurality of vehicle detectors distributed on each direction of a road and 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 a vehicle and used for collecting vehicle position 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, performing comprehensive analysis by using a traffic analysis module, judging the traffic state of the current road and a speed limit value corresponding to the traffic state, and displaying the speed limit value through a variable electronic information board on the previous section of road and the current road, thereby effectively prompting the road traffic condition and inducing vehicles 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 an accident occurs; counting the number of vehicles on the current road, acquiring the types of the vehicles on the current road, and calculating to obtain a vehicle type influence coefficient LH; the method comprises the steps of obtaining the speed of a vehicle on a current road, comparing the speed with a preset speed threshold value, calculating to obtain a speed influence coefficient CS, calculating to obtain a road condition threat coefficient CF according to the number of lanes, a rainfall value and visibility of a road section, determining the speed limit value of the current road to be R1 according to the road condition threat coefficient CF, performing variable speed control on traffic accidents, and being particularly suitable for the situation of emergency, and improving road safety and driving efficiency.
In the description herein, references to the description of "one embodiment," "an example," "a specific example," etc., 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 invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. 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 to be illustrative only. 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 utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. The emergency response control system based on the 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 on each direction of a road and 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 a vehicle and used for collecting vehicle position 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, performing comprehensive analysis by using a traffic analysis module, calculating 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 specifically 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 the variable electronic information boards on the previous section of 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 traffic analysis module comprises the following specific analysis steps:
when the accident alarm information is received, acquiring traffic flow information of a road where an accident occurs;
counting the number of vehicles on the current road as L1; obtaining the type of a vehicle on a current road, and calculating to obtain a vehicle type influence coefficient LH; the vehicle types include large-sized vehicles, medium-sized vehicles, and small-sized vehicles;
acquiring the speed of a vehicle on the current road and marking the speed as Vi; comparing Vi with a preset vehicle speed threshold; calculating to obtain a vehicle speed influence coefficient CS;
acquiring the number of lanes of a current road and marking the number as C1; acquiring the area of a current road, and acquiring 24-hour weather forecast data of the area on the same day so as to acquire a rainfall value G1 at a corresponding time;
obtaining the visibility N1 of a road section at the current time in the area, and calculating a road condition threat coefficient CF by using a formula CF = (L1 × G3+ LH × G4+ CS × G5+ G1 × G6)/(N1 × G7+ C1 × G8), wherein G3, G4, G5, G6, G7 and G8 are coefficient factors.
3. The intelligent traffic-based emergency response control system according to claim 2, wherein the traffic flow information includes vehicle driving direction, driving speed and vehicle type, for reflecting traffic congestion on the road.
4. The intelligent traffic-based emergency response control system according to claim 2, wherein the specific calculation process of the vehicle type 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 vehicle model influence coefficient LH is calculated by using a formula LH = La × a1+ Lc × a2+ Ld × a3, where a1, a2, and a3 are coefficient factors, and a1 > a2 > a3.
5. The intelligent traffic-based emergency response control system according to claim 2, wherein the vehicle speed influence coefficient CS is calculated by:
counting the number of times that Vi is larger than a preset vehicle speed threshold value to be Zb1, and when Vi is larger than the preset vehicle speed threshold value, acquiring the difference value between Vi and the preset vehicle speed threshold value and summing to obtain a vehicle speed excess value ZT; and calculating the vehicle speed influence coefficient CS by using a formula CS = Zb1 × g1+ ZT × g2, wherein g1 and g2 are coefficient factors.
6. The intelligent traffic-based emergency response control system according to claim 2, wherein the road section visibility detection device is one or more of a road section visibility detector, a visibility observation instrument and a visibility weather phenomenon instrument.
7. The intelligent traffic-based emergency response control system according to claim 1, wherein the control center is connected to the variable electronic message boards in a distributed manner through nodes of the internet of things, and the variable electronic message boards correspond to the vehicle detectors one to one and are arranged on the road at intervals.
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