CN105336162B - The method for early warning and early warning system of vehicle abnormality aggregation - Google Patents
The method for early warning and early warning system of vehicle abnormality aggregation Download PDFInfo
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- CN105336162B CN105336162B CN201510700678.5A CN201510700678A CN105336162B CN 105336162 B CN105336162 B CN 105336162B CN 201510700678 A CN201510700678 A CN 201510700678A CN 105336162 B CN105336162 B CN 105336162B
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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
Abstract
The invention discloses the method for early warning and early warning system of a kind of aggregation of vehicle abnormality, it in GIS platform by being arranged prewarning area, and the prewarning area of the setting is sent to vehicle GPS equipment, GPS device carries out judging whether to enter the prewarning area by the latitude and longitude information of collection vehicle, and the current latitude and longitude information of vehicle is sent to GIS platform after entering the prewarning area, GIS platform finds out corresponding prewarning area according to the current latitude and longitude information of the vehicle, the vehicle is increased to the information of vehicles of the corresponding prewarning area, and it is for statistical analysis to the information of vehicles of the prewarning area, to generate corresponding warning level；It is not only versatile, it can be to making early warning in time the case where vehicle abnormality aggregation caused by a variety of causes, and rate of false alarm is low, accuracy higher.
Description
Technical field
The present invention relates to traffic information technical field, the method for early warning of especially a kind of vehicle abnormality aggregation and its application should
The system of method.
Background technology
With social progress, economic fast development, people’s lives level increasingly improves, industrialization, urbanization into
Journey accelerates to promote the arrival of auto age, economic contradiction to the demand contradictory of traffic, private car and public transport, traffic
It is becoming increasingly acute with the contradiction of environment.Especially the level of urbanization improves rapidly, while urban road service facility substantially improves,
Vehicle increases severely, and traffic congestion aggravation, traffic accident takes place frequently, and life of urban resident quality and satisfaction declines, city it is sustainable
Development is restricted, and traffic problems increasingly become a social hot issue, and there is an urgent need to systematically study and propose to solve
Approach certainly.Simultaneously as there are barriers on road caused by road traffic abnormal conditions, such as obstruction, accident, thus
The road traffic accident of initiation also becomes the significant problem of an influence traffic safety.
The detection and early warning of traffic in the prior art are mainly either led by GPS by video monitoring system
Boat system：1. although existing GPS navigation system can receive the data parameters that satellite is sent incessantly with 24 hours, and then obtaining
Position, direction, speed and the temporal information on ground must be received, and then estimates the running speed of mobile vehicle, mainly according to row
Vehicle speed to determine whether there is congestion, but can not find that temporary traffic control, road are flooded and be buried, the congestions such as accident it
Outer abnormal road conditions；2. most commonly used both at home and abroad at present is video frequency monitoring method to judge urban road traffic congestion, still
Since the spacing and the speed of service that utilize video extraction vehicle have certain error and delay, while video image resolution process
High-performance computer is needed, needs to expend larger project cost.Therefore, how to design one kind being capable of fast reaction Current traffic
Congestion status and the low Congestion prediction technology of cost are the critical issues of urban traffic blocking research instantly.
Invention content
The present invention is to solve the above problems, provide a kind of method for early warning and early warning system of vehicle abnormality aggregation, not only
It is versatile, it can be to making early warning in time the case where vehicle abnormality aggregation caused by a variety of causes, and rate of false alarm is low, accurately
Property higher.
To achieve the above object, the technical solution adopted by the present invention is：
A kind of method for early warning of vehicle abnormality aggregation comprising following steps：
10. prewarning area is arranged in GIS platform, and the prewarning area of the setting is sent to vehicle GPS equipment；
20.GPS equipment judge whether entering the prewarning area by the latitude and longitude information of collection vehicle, and
The current latitude and longitude information of vehicle is sent to GIS platform after into the prewarning area；
30.GIS platforms find out corresponding prewarning area according to the current latitude and longitude information of the vehicle, by the vehicle
Increase to the information of vehicles of the corresponding prewarning area；
40. the information of vehicles of the prewarning area described in pair is for statistical analysis, and generates corresponding warning level.
Preferably, in the step 10, the prewarning area includes one or more, and the prewarning area is
More than one when, each prewarning area is marked respectively.
Preferably, in the step 20, GPS device carries out judging whether to enter by the latitude and longitude information of collection vehicle
The prewarning area is the latitude and longitude information of vehicle by acquiring GPS device with corresponding to the prewarning area
Longitude and latitude range judged, if within the scope of longitude and latitude of the latitude and longitude information of vehicle corresponding to the prewarning area,
Then think that the vehicle enters the prewarning area.
Preferably, in the step 20, GIS platform is after entering the prewarning area by the current longitude and latitude of vehicle
Information is sent to GIS platform, refers to after vehicle enters the prewarning area, GIS platform is according to preset time interval pair
The statistics of information of vehicles is carried out into the vehicle of the prewarning area, and after leaving the prewarning area in the vehicle
Stop counting the information of vehicles of the vehicle.
Preferably, the information of vehicles includes the latitude and longitude information of vehicle position, into the prewarning area
Vehicle fleet size information, into the prewarning area vehicle residence time information.
Preferably, in the step 30, GIS platform according to the current latitude and longitude information of the vehicle find out pair
The vehicle is increased to the information of vehicles of the corresponding prewarning area by the prewarning area answered, and is according to the current of the vehicle
Latitude and longitude information finds out the longitude and latitude range of corresponding prewarning area, so that it is determined that the vehicle entered it is corresponding
Then prewarning area accordingly increases the vehicle fleet size information of the prewarning area, and track the vehicle in the prewarning area
Residence time information.
Preferably, for statistical analysis to the information of vehicles of the prewarning area in the step 40, and generate phase
The warning level answered is the vehicle fleet size information to entering the prewarning area and the vehicle into the prewarning area
Residence time information carry out the calculating of threshold levels respectively, and corresponding early warning grade is generated according to the result of calculation of threshold levels
Not.
Preferably, after corresponding warning level being generated in the step 40, further by the warning level and its correspondence
Prewarning area be sent to corresponding responsible person.
In addition, the present invention also provides a kind of early warning systems of vehicle abnormality aggregation comprising GIS platform and vehicle GPS are set
It is standby, wherein the GIS platform further comprises：
Prewarning area setup module for prewarning area to be arranged in GIS platform, and the prewarning area of the setting is sent to
Vehicle GPS equipment；
Information of vehicles statistical analysis module, for for statistical analysis to the information of vehicles of the prewarning area, and it is raw
At corresponding warning level；
GPS device judge whether entering the prewarning area by the latitude and longitude information of collection vehicle, and into
The current latitude and longitude information of vehicle is sent to GIS platform after prewarning area described in entering, GIS platform is according to the vehicle
Current latitude and longitude information finds out corresponding prewarning area, and the vehicle which is increased to the corresponding prewarning area is believed
Breath, it is for statistical analysis for the information of vehicles statistical analysis module.
Preferably, the information of vehicles statistical analysis module further comprises：
Latitude and longitude information statistical analysis unit is found out corresponding according to the current latitude and longitude information of the vehicle
The longitude and latitude range of prewarning area, so that it is determined that the corresponding prewarning area that the vehicle is entered；
Vehicle fleet size Information Statistics analytic unit, for counting the vehicle fleet size into the prewarning area, and to this
Vehicle fleet size carries out the calculating of threshold levels；
Residence time Information Statistics analytic unit, for counting the residence time into the vehicle of the prewarning area,
And the calculating of threshold levels is carried out to the residence time.
The beneficial effects of the invention are as follows：
The method for early warning and early warning system of a kind of vehicle abnormality aggregation of the present invention, by the way that early warning is arranged in GIS platform
Region, and the prewarning area of the setting is sent to vehicle GPS equipment, GPS device by the latitude and longitude information of collection vehicle into
Row judges whether to enter the prewarning area, and passes the current latitude and longitude information of vehicle after entering the prewarning area
It send to GIS platform, GIS platform finds out corresponding prewarning area according to the current latitude and longitude information of the vehicle, by this
Vehicle increases to the information of vehicles of the corresponding prewarning area, and carries out statistical to the information of vehicles of the prewarning area
Analysis, to generate corresponding warning level；It is not only versatile, the case where capable of assembling to vehicle abnormality caused by a variety of causes
Early warning is made in time, and rate of false alarm is low, accuracy higher.
Description of the drawings
Attached drawing described herein is used to provide further understanding of the present invention, and constitutes the part of the present invention, this hair
Bright illustrative embodiments and their description are not constituted improper limitations of the present invention for explaining the present invention.In the accompanying drawings：
Fig. 1 is a kind of general flow chart of the method for early warning of vehicle abnormality aggregation of the present invention；
Fig. 2 is a kind of structural schematic diagram of the early warning system of vehicle abnormality aggregation of the present invention.
Specific implementation mode
In order to keep technical problems, technical solutions and advantages to be solved clearer, clear, tie below
Closing accompanying drawings and embodiments, the present invention will be described in further detail.It should be appreciated that specific embodiment described herein is only used
To explain the present invention, it is not intended to limit the present invention.
As shown in Figure 1, a kind of method for early warning of vehicle abnormality aggregation of the present invention comprising following steps：
10. prewarning area is arranged in GIS platform, and the prewarning area of the setting is sent to vehicle GPS equipment；
20.GPS equipment judge whether entering the prewarning area by the latitude and longitude information of collection vehicle, and
The current latitude and longitude information of vehicle is sent to GIS platform after into the prewarning area；
30.GIS platforms find out corresponding prewarning area according to the current latitude and longitude information of the vehicle, by the vehicle
Increase to the information of vehicles of the corresponding prewarning area；
40. the information of vehicles of the prewarning area described in pair is for statistical analysis, and generates corresponding warning level.
In the step 10, the prewarning area includes one or more, and the prewarning area be one with
When upper, each prewarning area was marked respectively；The vehicle can be public transit vehicle or other are provided with GPS device
Vehicle.
In the step 20, GPS device carries out judging whether to enter described by the latitude and longitude information of collection vehicle
Prewarning area, the latitude and longitude information for being the vehicle by acquiring GPS device and the longitude and latitude corresponding to the prewarning area
Range is judged, if within the scope of longitude and latitude of the latitude and longitude information of vehicle corresponding to the prewarning area, then it is assumed that
The vehicle enters the prewarning area.
In the step 20, GIS platform passes the current latitude and longitude information of vehicle after entering the prewarning area
It send to GIS platform, refers to after vehicle enters the prewarning area, GIS platform is according to preset time interval to entering
The vehicle of the prewarning area stated carries out the statistics of information of vehicles, and leaves in the vehicle and to stop after the prewarning area pair
The information of vehicles of the vehicle counts.
In the present embodiment, the information of vehicles includes the latitude and longitude information of vehicle position, into the early warning
The vehicle fleet size information in region, into the prewarning area vehicle residence time information.
In the step 30, GIS platform finds out corresponding pre- according to the current latitude and longitude information of the vehicle
The vehicle is increased to the information of vehicles of the corresponding prewarning area by police region domain, is the current longitude and latitude according to the vehicle
Information searching goes out the longitude and latitude range of corresponding prewarning area, so that it is determined that the corresponding precautionary areas that the vehicle is entered
Then domain accordingly increases the vehicle fleet size information of the prewarning area, and track stop of the vehicle in the prewarning area
Temporal information.
It is for statistical analysis to the information of vehicles of the prewarning area in the step 40, and generate corresponding early warning
Rank, when being the stop to the vehicle fleet size information into the prewarning area and the vehicle into the prewarning area
Between information carry out the calculating of threshold levels respectively, and corresponding warning level is generated according to the result of calculation of threshold levels；And
After generating corresponding warning level, the warning level and its corresponding prewarning area are further sent to corresponding responsible person,
Such as the GIS client notification dispatching and monitoring personnel of GIS platform are fed back to, it can also be utilized according to the communication list in database
Alarm content is sent to relevant person in charge by short message machine.
Warning level citing is as shown in table 1：
Table 1
As shown in Fig. 2, the present invention also provides a kind of early warning systems of vehicle abnormality aggregation comprising GIS platform and vehicle
GPS device, wherein the GIS platform further comprises：
Prewarning area setup module A for prewarning area to be arranged in GIS platform, and the prewarning area of the setting is sent
To vehicle GPS equipment；
Information of vehicles statistical analysis module B, for for statistical analysis to the information of vehicles of the prewarning area, and it is raw
At corresponding warning level；
GPS device judge whether entering the prewarning area by the latitude and longitude information of collection vehicle, and into
The current latitude and longitude information of vehicle is sent to GIS platform after prewarning area described in entering, GIS platform is according to the vehicle
Current latitude and longitude information finds out corresponding prewarning area, and the vehicle which is increased to the corresponding prewarning area is believed
Breath, it is for statistical analysis for the information of vehicles statistical analysis module.
Wherein, the information of vehicles statistical analysis module B further comprises：
Latitude and longitude information statistical analysis unit B1 is found out corresponding according to the current latitude and longitude information of the vehicle
Prewarning area longitude and latitude range, so that it is determined that the corresponding prewarning area that the vehicle is entered；
Vehicle fleet size Information Statistics analytic unit B2, for counting the vehicle fleet size into the prewarning area, and it is right
The vehicle fleet size carries out the calculating of threshold levels；
Residence time Information Statistics analytic unit B3, for counting into when the stop of the vehicle of the prewarning area
Between, and the calculating of threshold levels is carried out to the residence time.
The present invention is used as prewarning area by setting special sensitizing range in GIS platform in advance, the precautionary areas that will be set
Domain is sent to the GPS device on vehicle, sets parameter and threshold levels in server end later.When vehicle enters and stays in
Prewarning area records the residence time and rests on the vehicle fleet size in prewarning area using the centralized computing of server end, when
When resting on the threshold levels that the arrival of prewarning area quantity is set, the early warning that strike stoppage in transit event may occur, root had both been triggered
Different grades of warning level can be generated according to the setting of threshold levels.When prediction occurring, server end is by warning level and early warning
The warning information such as region are sent to GIS client notification monitoring and scheduling personnel, can also be utilized according to the communication list in database
Alarm content is sent to relevant person in charge by short message machine.The side that probability statistics are used based on mathematical model compared with the existing technology
Formula obtains early warning conclusion, the present invention according to GIS platform, integrated using GPS device position information and residence time relationship obtain it is pre-
Alert conclusion, there is no report situation, accuracy higher by mistake caused by probability.
It should be noted that each embodiment in this specification is described in a progressive manner, each embodiment weight
Point explanation is all difference from other examples, and the same or similar parts between the embodiments can be referred to each other.
For system class embodiment, since it is basically similar to the method embodiment, so description is fairly simple, related place ginseng
See the part explanation of embodiment of the method.Also, herein, the terms "include", "comprise" or its any other variant
It is intended to non-exclusive inclusion, so that the process, method, article or equipment including a series of elements includes not only
Those elements, but also include other elements that are not explicitly listed, or further include for this process, method, article or
The intrinsic element of person's equipment.In the absence of more restrictions, the element limited by sentence "including a ...", not
There is also other identical elements in the process, method, article or apparatus that includes the element for exclusion.In addition, this field
Those of ordinary skill is appreciated that realize that all or part of step of above-described embodiment can be completed by hardware, can also lead to
Program is crossed to instruct relevant hardware to complete, the program can be stored in a kind of computer readable storage medium, above-mentioned
The storage medium mentioned can be read-only memory, disk or CD etc..
The preferred embodiment of the present invention has shown and described in above description, it should be understood that the present invention is not limited to this paper institutes
The form of disclosure is not to be taken as excluding other embodiments, and can be used for other combinations, modifications, and environments, and energy
Enough in this paper invented the scope of the idea, modifications can be made through the above teachings or related fields of technology or knowledge.And people from this field
The modifications and changes that member is carried out do not depart from the spirit and scope of the present invention, then all should be in the protection of appended claims of the present invention
In range.
Claims (7)
1. a kind of method for early warning of vehicle abnormality aggregation, which is characterized in that include the following steps：
10. prewarning area is arranged in GIS platform, and the prewarning area of the setting is sent to vehicle GPS equipment；
20.GPS equipment carries out judging whether to enter the prewarning area by the latitude and longitude information of collection vehicle, and is entering
The current latitude and longitude information of vehicle is sent to GIS platform after the prewarning area；
30.GIS platforms find out corresponding prewarning area according to the current latitude and longitude information of the vehicle, which is increased
Add to the information of vehicles of the corresponding prewarning area；That is, being found out according to the current latitude and longitude information of the vehicle corresponding
Prewarning area longitude and latitude range, it is then corresponding to increase so that it is determined that the corresponding prewarning area that the vehicle is entered
Add the vehicle fleet size information of the prewarning area, and the vehicle described in tracking is in the residence time information of the prewarning area；
40. the information of vehicles of the prewarning area described in pair is for statistical analysis, and generates corresponding warning level；That is, to entering
The vehicle fleet size information of the prewarning area and enter the prewarning area vehicle residence time information respectively into
The calculating of row threshold levels, and corresponding warning level is generated according to the result of calculation of threshold levels.
2. a kind of method for early warning of vehicle abnormality aggregation according to claim 1, it is characterised in that：The step 10
In, the prewarning area includes one or more, and the prewarning area be more than one when, respectively to each precautionary areas
Domain is marked.
3. a kind of method for early warning of vehicle abnormality aggregation according to claim 1, it is characterised in that：The step 20
In, GPS device by the latitude and longitude information of collection vehicle judge whether entering the prewarning area, is by by GPS
The latitude and longitude information of vehicle of equipment acquisition is judged with the longitude and latitude range corresponding to the prewarning area, if vehicle
Within the scope of longitude and latitude of the latitude and longitude information corresponding to the prewarning area, then it is assumed that the vehicle enters the precautionary areas
Domain.
4. a kind of method for early warning of vehicle abnormality aggregation according to claim 1, it is characterised in that：The step 20
In, the current latitude and longitude information of vehicle is sent to GIS platform by GPS device after entering the prewarning area, refers in vehicle
After prewarning area described in entrance, GIS platform according to preset time interval to enter the vehicle of the prewarning area into
The statistics of row information of vehicles, and stop uniting to the information of vehicles of the vehicle after leaving the prewarning area in the vehicle
Meter.
5. a kind of method for early warning of vehicle abnormality aggregation according to claim 1, it is characterised in that：The information of vehicles
Latitude and longitude information including vehicle position, into the vehicle fleet size information of the prewarning area, into the early warning
The residence time information of the vehicle in region.
6. a kind of method for early warning of vehicle abnormality aggregation according to claims 1 or 2 or 3 or 4 or 5, it is characterised in that：Institute
After generating corresponding warning level in the step 40 stated, further the warning level and its corresponding prewarning area are sent to pair
The responsible person answered.
7. a kind of early warning system of vehicle abnormality aggregation, which is characterized in that it includes GIS platform and vehicle GPS equipment, wherein
The GIS platform further comprises：
The prewarning area of the setting for prewarning area to be arranged in GIS platform, and is sent to vehicle by prewarning area setup module
GPS device；
Information of vehicles statistical analysis module for for statistical analysis to the information of vehicles of the prewarning area, and generates phase
The warning level answered；
GPS device judge whether entering the prewarning area by the latitude and longitude information of collection vehicle, and into institute
The current latitude and longitude information of vehicle is sent to GIS platform after the prewarning area stated, GIS platform is current according to the vehicle
Latitude and longitude information finds out corresponding prewarning area, which is increased to the information of vehicles of the corresponding prewarning area, supplies
The information of vehicles statistical analysis module is for statistical analysis；
Wherein, the information of vehicles statistical analysis module further comprises：
Latitude and longitude information statistical analysis unit finds out corresponding early warning according to the current latitude and longitude information of the vehicle
The longitude and latitude range in region, so that it is determined that the corresponding prewarning area that the vehicle is entered；
Vehicle fleet size Information Statistics analytic unit, for counting the vehicle fleet size into the prewarning area, and to the vehicle
Quantity carries out the calculating of threshold levels；
Residence time Information Statistics analytic unit, for counting the residence time into the vehicle of the prewarning area, and it is right
The residence time carries out the calculating of threshold levels.
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| CN106652449A (en) * | 2016-12-13 | 2017-05-10 | 冯仁 | Intelligent transportation system |
| CN108021625B (en) * | 2017-11-21 | 2021-01-19 | 深圳广联赛讯股份有限公司 | Vehicle abnormal gathering place monitoring method and system, and computer readable storage medium |
| CN107749164B (en) * | 2017-11-23 | 2020-08-11 | 浪潮软件科技有限公司 | Vehicle aggregation analysis method and device |
| CN109841078B (en) * | 2017-11-27 | 2022-03-04 | 腾讯科技（深圳）有限公司 | Navigation data processing method and device and storage medium |
| CN108303100A (en) * | 2017-12-25 | 2018-07-20 | 厦门市美亚柏科信息股份有限公司 | Focus point analysis method and computer readable storage medium |
| CN108280997A (en) * | 2018-01-30 | 2018-07-13 | 青岛中兴智能交通有限公司 | A kind of judgment method and device of vehicle abnormality focusing |
| CN109783540B (en) * | 2019-01-08 | 2021-05-07 | 武汉烽火众智数字技术有限责任公司 | Method and system for analyzing specific group of people based on feature codes |
| CN111414828B (en) * | 2020-03-13 | 2023-08-11 | 杭州海康威视系统技术有限公司 | Abnormal aggregation identification method and device |
| CN112634617A (en) * | 2020-12-18 | 2021-04-09 | 北京高诚科技发展有限公司 | Traffic incident prediction early warning and alarm management system |
| CN115188488A (en) * | 2020-12-31 | 2022-10-14 | 医渡云（北京）技术有限公司 | Aggregation risk determination method and device, computer readable medium and electronic device |
| CN113963541B (en) * | 2021-10-21 | 2022-08-23 | 宜信普惠信息咨询(北京)有限公司 | Method and device for identifying vehicle aggregation event based on GPS signal data |
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