CN112581754A - Rainfall-based road network traffic running state prediction method and system - Google Patents
Rainfall-based road network traffic running state prediction method and system Download PDFInfo
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- CN112581754A CN112581754A CN201911401540.XA CN201911401540A CN112581754A CN 112581754 A CN112581754 A CN 112581754A CN 201911401540 A CN201911401540 A CN 201911401540A CN 112581754 A CN112581754 A CN 112581754A
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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
- G08G1/01—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
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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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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Abstract
The invention discloses a method for predicting a road network traffic running state based on rainfall, which comprises the following steps: determining a road operation state of a driving road according to vehicle data of a driving vehicle; collecting rainfall information and matching the rainfall information with a driving road; and predicting the future traffic operation state according to the road operation state of any road, the corresponding rainfall information and the time period information. The invention can accurately predict the future traffic state, provides corresponding safety information for traffic management departments and motor vehicle drivers, and can respectively take corresponding safety countermeasures according to the influence of various weather environments on traffic safety, thereby effectively improving the traffic safety level and preventing traffic accidents.
Description
Technical Field
The invention belongs to the technical field of urban traffic management, and particularly relates to a method and a system for predicting a road network traffic running state based on rainfall.
Background
For social production, life and economy, transportation plays an important role, and the transportation is influenced by the change of meteorological conditions. Therefore, the relation between traffic and weather is deeply researched, the traffic and weather forecast work is well done, the traffic safety is practically guaranteed, and the method has important significance for social production and life.
The rainwater not only influences the visibility when the driving, still can reduce the coefficient of friction on road surface, makes the road surface become smooth, and greatly increased brake braking distance has increased driving risk undoubtedly, makes the traffic accident take place the possibility increase. In different levels of rainfall, the harm coefficient of light rain is very high and even exceeds the harm degree of heavy rain, the reason is that the light rain has little influence on the visual field during driving, a driver is easy to relax and alert, but the light rain can wet dust on the road surface to be a good lubricant, and when an emergency occurs, the emergency braking distance is increased to cause traffic accidents, which becomes a main mode of traffic accidents on certain roads in rainy days.
Disclosure of Invention
In view of the above, the main objective of the present invention is to provide a method and a system for predicting traffic operation status of a road network based on rainfall.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
the embodiment of the invention provides a method for predicting a road network traffic running state based on rainfall, which comprises the following steps:
determining a road operation state of a driving road according to vehicle data of a driving vehicle;
collecting rainfall information and matching the rainfall information with a driving road;
and predicting the future traffic operation state according to the road operation state of any road, the corresponding rainfall information and the time period information.
In the above scheme, the determining the road operation state of the driving road according to the vehicle data of the driving vehicle specifically includes: randomly selecting the vehicle speed of the vehicle in the form of the road, determining that the road operation state of the road is smooth if the vehicle speed is more than 80% of the upper limit of the speed limit, determining that the road operation state of the road is lightly congested if the vehicle speed is 60% -80% of the upper limit of the speed limit, determining that the road operation state of the road is moderately congested if the vehicle speed is 30% -60% of the upper limit of the speed limit, and determining that the road operation state of the road is heavily congested if the vehicle speed is less than 30% of the upper limit of the speed limit.
In the above-mentioned scheme, the collecting rainfall information and matching to the driving road specifically are: the rainfall information of each driving road is collected and updated in real time; or matching the rainfall of the administrative region to which the driving road belongs with the driving road.
In the scheme, the future traffic operation state is predicted according to the road operation state of any one road, the corresponding rainfall information and the time interval information, and specifically, the road operation state of any one road is respectively assigned with 0, 1, 2 and 3 for smooth traffic, light traffic jam, medium traffic jam and heavy traffic jam, the rainfall information is respectively assigned with 1, 2, 3 and 4 for light rain, medium rain, heavy rain and heavy rain, and the time interval information is assigned with 3 and 1 for peak time interval and normal time interval; and determining the future traffic operation state of the road according to the road operation state, the rainfall information and the time interval information in a superposition manner, wherein if the assignment value is more than 8, the traffic operation state is severe congestion, more than 5 is moderate congestion, more than 3 is mild congestion, and less than 3 is smooth.
In the above scheme, the method further includes pushing the vehicle using the road operation state determined by the vehicle data as the information if the predicted future traffic operation state of the road is not consistent with the road operation state determined by the vehicle data.
The embodiment of the invention also provides a road network traffic running state studying and judging system based on the rainfall and traffic data fusion technology, which comprises the following steps: the device comprises an identification unit, an acquisition unit and a prediction unit;
the identification unit is used for determining the road running state of a running road according to vehicle data of a running vehicle;
the acquisition unit is used for acquiring rainfall information and matching the rainfall information with a driving road;
and the prediction unit is used for predicting the future traffic operation state according to the road operation state of any road, the corresponding rainfall information and the time period information.
In the foregoing solution, the identification unit is specifically configured to: randomly selecting the vehicle speed of the vehicle in the form of the road, determining that the road operation state of the road is smooth if the vehicle speed is more than 80% of the upper limit of the speed limit, determining that the road operation state of the road is lightly congested if the vehicle speed is 60% -80% of the upper limit of the speed limit, determining that the road operation state of the road is moderately congested if the vehicle speed is 30% -60% of the upper limit of the speed limit, and determining that the road operation state of the road is heavily congested if the vehicle speed is less than 30% of the upper limit of the speed limit.
In the above scheme, the acquisition unit is specifically configured to acquire and update rainfall information of each driving road in real time; or matching the rainfall of the administrative region to which the driving road belongs with the driving road.
In the above scheme, the prediction unit is specifically configured to assign 0, 1, 2, and 3 to the road operation state of any one road, that is, the road operation state is smooth, light congestion, moderate congestion, and heavy congestion, respectively, the rainfall information is divided into light rain, medium rain, heavy rain, and is respectively assigned to 1, 2, 3, and 4, and the time period information is the peak time period and the normal time period, and is assigned to 3 and 1, respectively; and determining the future traffic operation state of the road according to the road operation state, the rainfall information and the time interval information in a superposition manner, wherein if the assignment value is more than 8, the traffic operation state is severe congestion, more than 5 is moderate congestion, more than 3 is mild congestion, and less than 3 is smooth.
In the above scheme, the prediction unit is further configured to, if the predicted future traffic operation state of the road is not consistent with the road operation state determined by the vehicle data, push the vehicle using the road operation state determined by the vehicle data as information.
Compared with the prior art, the method can accurately predict the future traffic state, provide corresponding safety information for traffic management departments and motor vehicle drivers, and respectively take corresponding safety countermeasures according to the influence of various weather environments on traffic safety, effectively improve the traffic safety level and prevent traffic accidents.
Drawings
Fig. 1 is a flowchart of a method for predicting a traffic operation state of a road network based on rainfall according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiment of the invention provides a method for predicting a traffic running state of a road network based on rainfall, which is realized by the following steps as shown in figure 1:
step 101: determining a road operation state of a driving road according to vehicle data of a driving vehicle;
specifically, the vehicle speed of the vehicle in the form of the road is randomly selected, the road operation state of the road is determined to be smooth if the vehicle speed is more than 80% of the upper limit of the speed limit, the road operation state of the road is determined to be light congestion if the vehicle speed is 60% -80% of the upper limit of the speed limit, the road operation state of the road is determined to be medium congestion if the vehicle speed is 30% -60% of the upper limit of the speed limit, and the road operation state of the road is determined to be heavy congestion if the vehicle speed is less than 30% of the upper limit of the speed limit.
Step 102: collecting rainfall information and matching the rainfall information with a driving road;
specifically, the acquiring rainfall information and matching to a driving road specifically include: the rainfall information of each driving road is collected and updated in real time; or matching the rainfall of the administrative region to which the driving road belongs with the driving road.
Step 103: and predicting the future traffic operation state according to the road operation state of any road, the corresponding rainfall information and the time period information.
Specifically, the road operation state of any one road is set to be smooth, light congestion, moderate congestion and heavy congestion and is respectively assigned with 0, 1, 2 and 3, the rainfall information is divided into light rain, medium rain, heavy rain and is respectively assigned with 1, 2, 3 and 4, and the time interval information is set to be in a peak time interval and a normal time interval and is respectively assigned with 3 and 1; and determining the future traffic operation state of the road according to the road operation state, the rainfall information and the time interval information in a superposition manner, wherein if the assignment value is more than 8, the traffic operation state is severe congestion, more than 5 is moderate congestion, more than 3 is mild congestion, and less than 3 is smooth.
Further, the method also comprises the step of pushing the vehicle by taking the road operation state determined by the vehicle data as information if the predicted future traffic operation state of the road is inconsistent with the road operation state determined by the vehicle data.
The embodiment of the invention also provides a road network traffic running state studying and judging system based on the rainfall and traffic data fusion technology, which comprises the following steps: the device comprises an identification unit, an acquisition unit and a prediction unit;
the identification unit is used for determining the road running state of a running road according to vehicle data of a running vehicle;
the acquisition unit is used for acquiring rainfall information and matching the rainfall information with a driving road;
the prediction unit is used for predicting the future traffic operation state according to the road operation state of any road, the corresponding rainfall information and the time period information.
The identification unit is specifically used for randomly selecting the vehicle speed of the vehicle in the road, determining that the road operation state of the road is smooth if the vehicle speed is more than 80% of the upper limit of the speed limit, determining that the road operation state of the road is lightly congested if the vehicle speed is 60% -80% of the upper limit of the speed limit, determining that the road operation state of the road is moderately congested if the vehicle speed is 30% -60% of the upper limit of the speed limit, and determining that the road operation state of the road is heavily congested if the vehicle speed is less than 30% of the upper limit of the speed limit.
The acquisition unit is specifically used for acquiring and updating rainfall information of each driving road in real time; or matching the rainfall of the administrative region to which the driving road belongs with the driving road.
The prediction unit is specifically used for assigning 0, 1, 2 and 3 to the road operation state of any road, such as smooth traffic, light traffic jam, moderate traffic jam and severe traffic jam, respectively, the rainfall information is divided into light rain, medium rain, heavy rain and heavy rain, and is respectively assigned to 1, 2, 3 and 4, and the time interval information is the peak time interval and the normal time interval, and is respectively assigned to 3 and 1; and determining the future traffic operation state of the road according to the road operation state, the rainfall information and the time interval information in a superposition manner, wherein if the assignment value is more than 8, the traffic operation state is severe congestion, more than 5 is moderate congestion, more than 3 is mild congestion, and less than 3 is smooth.
The prediction unit is also used for pushing the vehicle by taking the road running state determined by the vehicle data as information if the predicted future traffic running state of the road is inconsistent with the road running state determined by the vehicle data.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (10)
1. A road network traffic running state prediction method based on rainfall is characterized by comprising the following steps:
determining a road operation state of a driving road according to vehicle data of a driving vehicle;
collecting rainfall information and matching the rainfall information with a driving road;
and predicting the future traffic operation state according to the road operation state of any road, the corresponding rainfall information and the time period information.
2. The method for predicting traffic operation states of road network based on rainfall according to claim 1, wherein the road operation states of the running roads are determined according to vehicle data of running vehicles, and specifically: randomly selecting the vehicle speed of the vehicle in the form of the road, determining that the road operation state of the road is smooth if the vehicle speed is more than 80% of the upper limit of the speed limit, determining that the road operation state of the road is lightly congested if the vehicle speed is 60% -80% of the upper limit of the speed limit, determining that the road operation state of the road is moderately congested if the vehicle speed is 30% -60% of the upper limit of the speed limit, and determining that the road operation state of the road is heavily congested if the vehicle speed is less than 30% of the upper limit of the speed limit.
3. The method for predicting traffic operation states of road network based on rainfall according to claim 1 or 2, wherein the rainfall information is collected and matched to the driving roads, specifically: the rainfall information of each driving road is collected and updated in real time; or matching the rainfall of the administrative region to which the driving road belongs with the driving road.
4. The method for predicting the traffic operation state of the road network based on the rainfall according to claim 3, wherein the future traffic operation state is predicted according to the road operation state of any one road, the corresponding rainfall information and the time period information, and specifically, the road operation state of any one road is respectively assigned with 0, 1, 2 and 3 for smooth traffic, light traffic, medium traffic and heavy traffic, the rainfall information is respectively assigned with 1, 2, 3 and 4 for light rain, medium rain, heavy rain and heavy rain, and the time period information is assigned with 3 and 1 for peak time period and normal time period; and determining the future traffic operation state of the road according to the road operation state, the rainfall information and the time interval information in a superposition manner, wherein if the assignment value is more than 8, the traffic operation state is severe congestion, more than 5 is moderate congestion, more than 3 is mild congestion, and less than 3 is smooth.
5. The rainfall-based road network traffic operation state prediction method according to claim 4, further comprising pushing the vehicle with the road operation state determined by the vehicle data as information, if the predicted future traffic operation state of the road is not consistent with the road operation state determined by the vehicle data.
6. A road network traffic running state studying and judging system based on rainfall and traffic data fusion technology is characterized in that the system is as follows: the device comprises an identification unit, an acquisition unit and a prediction unit;
the identification unit is used for determining the road running state of a running road according to vehicle data of a running vehicle;
the acquisition unit is used for acquiring rainfall information and matching the rainfall information with a driving road;
and the prediction unit is used for predicting the future traffic operation state according to the road operation state of any road, the corresponding rainfall information and the time period information.
7. The road network traffic operation state studying and judging system based on the rainfall and traffic data fusion technology according to claim 6, wherein the identification unit is specifically configured to: randomly selecting the vehicle speed of the vehicle in the form of the road, determining that the road operation state of the road is smooth if the vehicle speed is more than 80% of the upper limit of the speed limit, determining that the road operation state of the road is lightly congested if the vehicle speed is 60% -80% of the upper limit of the speed limit, determining that the road operation state of the road is moderately congested if the vehicle speed is 30% -60% of the upper limit of the speed limit, and determining that the road operation state of the road is heavily congested if the vehicle speed is less than 30% of the upper limit of the speed limit.
8. The road network traffic running state studying and judging system based on the rainfall and traffic data fusion technology according to claim 6 or 7, wherein the collecting unit is specifically configured to collect and update rainfall information of each driving road in real time; or matching the rainfall of the administrative region to which the driving road belongs with the driving road.
9. The road network traffic operation state studying and judging system based on the rainfall and traffic data fusion technology as claimed in claim 8, wherein the prediction unit is specifically configured to assign 0, 1, 2, and 3 to the road operation state of any one road, respectively, the rainfall information is divided into light rain, medium rain, heavy rain, and is assigned to 1, 2, 3, and 4, and the period information is assigned to 3 and 1 for peak periods and normal periods, respectively; and determining the future traffic operation state of the road according to the road operation state, the rainfall information and the time interval information in a superposition manner, wherein if the assignment value is more than 8, the traffic operation state is severe congestion, more than 5 is moderate congestion, more than 3 is mild congestion, and less than 3 is smooth.
10. The system for studying and judging the traffic operation status of the road network based on the fusion technique of the rainfall and the traffic data as claimed in claim 9, wherein the predicting unit is further configured to, if the predicted future traffic operation status of the road is not consistent with the road operation status determined by the vehicle data, push the vehicle using the road operation status determined by the vehicle data as the information.
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- 2019-12-30 CN CN201911401540.XA patent/CN112581754A/en active Pending
Patent Citations (6)
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|---|---|---|---|---|
| CN101438334A (en) * | 2006-03-03 | 2009-05-20 | 因瑞克斯有限公司 | Dynamic time series prediction of future traffic conditions |
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Application publication date: 20210330 |