CN105336162A - Early warning method and early warning system for vehicle abnormal aggregation - Google Patents
Early warning method and early warning system for vehicle abnormal aggregation Download PDFInfo
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- CN105336162A CN105336162A CN201510700678.5A CN201510700678A CN105336162A CN 105336162 A CN105336162 A CN 105336162A CN 201510700678 A CN201510700678 A CN 201510700678A CN 105336162 A CN105336162 A CN 105336162A
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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 an early warning method and an early warning system for vehicle abnormal aggregation. Early warning regions are set in a GIS platform, and the set early warning regions are transmitted to GPS equipment of a vehicle; the GPS equipment judges whether to enter the early warning regions through acquiring longitude and latitude information of the vehicle, and transmits the current longitude and latitude information of the vehicle to a GIS platform after entering the early warning regions; and the GIS platform looks up the corresponding early warning region according to the current longitude and latitude information of the vehicle, adds the vehicle to vehicle information of the corresponding early warning region, and performs statistical analysis on the vehicle information of the early warning regions to generate corresponding early warning level. The early warning method and the early warning system have high universality, can send out early warning for vehicle abnormal aggregation situations caused by various reasons, and have low false warning rate and higher accuracy.
Description
Technical field
The present invention relates to transport information technical field, particularly a kind of method for early warning of vehicle abnormality gathering and the system of application the method thereof.
Background technology
Along with progress, the economic fast development of society, the living standard of people improves day by day, industrialization, Development of China's Urbanization accelerate to facilitate the arrival of auto age, and the contradiction of the contradiction of the economic demand contradictory to traffic, private car and public transport, traffic and environment is becoming increasingly acute.Particularly the level of urbanization improves rapidly, while urban road service facility improves greatly, vehicle increases severely, congested in traffic aggravation, traffic hazard takes place frequently, and life of urban resident quality and satisfaction declines, and the sustainable development in city is restricted, traffic problems more and more become a social hot issue, in the urgent need to systematically study and propose solve approach.Meanwhile, due to road traffic abnormal conditions, such as, to block, accident and the road that causes exists barrier, thus the road traffic accident caused, also become the significant problem that affects traffic safety.
The detection of traffic of the prior art and early warning are mainly by video monitoring system or by GPS navigation system: although 1. existing GPS navigation system can receive the data parameters of satellite transmission for 24 hours incessantly, and then the position on acquisition reception ground, direction, speed and temporal information, and then the road speed of estimation moving vehicle, it mainly judges whether to occur blocking up according to road speed, but but cannot find that temporary traffic controls, road is flooded the abnormal road conditions outside being blocked up by bury, accident etc.; 2. what use both at home and abroad was at present maximum is that video frequency monitoring method is to judge urban road traffic congestion, but because the spacing and travelling speed utilizing video extraction vehicle has certain error and delay, video image resolution process needs high-performance computer simultaneously, needs to expend larger construction costs.Therefore, how designing a kind of can rapid reaction Current traffic congestion status and the low Congestion prediction technology of cost be the key issue of urban traffic blocking research instantly.
Summary of the invention
The present invention is for solving the problem, and provide method for early warning and early warning system, the not only highly versatile of a kind of vehicle abnormality gathering, the situation that the vehicle abnormality that can cause a variety of causes is assembled makes early warning in time, and rate of false alarm is low, and accuracy is higher.
For achieving the above object, the technical solution used in the present invention is:
The method for early warning that vehicle abnormality is assembled, it comprises the following steps:
10. prewarning area is set in GIS platform, and the prewarning area of this setting is sent to vehicle GPS equipment;
20.GPS equipment is undertaken judging whether to enter described prewarning area by the latitude and longitude information of collection vehicle, and after entering described prewarning area, the current latitude and longitude information of vehicle is sent to GIS platform;
30.GIS platform finds out corresponding prewarning area according to the current latitude and longitude information of described vehicle, this vehicle is increased to the information of vehicles of the prewarning area of this correspondence;
The information of vehicles of the prewarning area described in 40. pairs carries out statistical study, and generates corresponding warning level.
Preferably, in described step 10, described prewarning area comprises one or more, and when this prewarning area is more than one, marks respectively to each prewarning area.
Preferably, in described step 20, GPS device is undertaken judging whether to enter described prewarning area by the latitude and longitude information of collection vehicle, judged by the longitude and latitude scope corresponding to the latitude and longitude information of the vehicle by GPS device collection and described prewarning area, if the latitude and longitude information of vehicle is within the longitude and latitude scope corresponding to described prewarning area, then think that this vehicle enters described prewarning area.
Preferably, in described step 20, the current latitude and longitude information of vehicle is sent to GIS platform by GIS platform after entering described prewarning area, refer to after vehicle enters described prewarning area, GIS platform to carry out the statistics of information of vehicles according to the time interval of presetting to the vehicle entering described prewarning area, and stops adding up the information of vehicles of this vehicle after described vehicle leaves described prewarning area.
Preferably, described information of vehicles comprise vehicle position latitude and longitude information, enter the vehicle fleet size information of described prewarning area, enter the residence time information of the vehicle of described prewarning area.
Preferably, in described step 30, GIS platform finds out corresponding prewarning area according to the current latitude and longitude information of described vehicle, this vehicle is increased to the information of vehicles of the prewarning area of this correspondence, it is the longitude and latitude scope finding out corresponding prewarning area according to the current latitude and longitude information of described vehicle, thus determine the prewarning area of the correspondence that described vehicle enters, then increase the vehicle fleet size information of this prewarning area accordingly, and the vehicle described in following the trail of is in the residence time information of this prewarning area.
Preferably, in described step 40, statistical study is carried out to the information of vehicles of described prewarning area, and generate corresponding warning level, be the calculating vehicle fleet size information entering described prewarning area and the residence time information of vehicle that enters described prewarning area being carried out respectively to threshold levels, and generate corresponding warning level according to the result of calculation of threshold levels.
Preferably, after generating corresponding warning level in described step 40, further the prewarning area of this warning level and correspondence thereof is sent to corresponding responsible official.
In addition, the early warning system that the present invention also provides a kind of vehicle abnormality to assemble, it comprises GIS platform and vehicle GPS equipment, and wherein, described GIS platform comprises further:
Prewarning area arranges module, for arranging prewarning area in GIS platform, and the prewarning area of this setting is sent to vehicle GPS equipment;
Information of vehicles statistical analysis module, for carrying out statistical study to the information of vehicles of described prewarning area, and generates corresponding warning level;
GPS device is undertaken judging whether to enter described prewarning area by the latitude and longitude information of collection vehicle, and after entering described prewarning area, the current latitude and longitude information of vehicle is sent to GIS platform, GIS platform finds out corresponding prewarning area according to the current latitude and longitude information of described vehicle, this vehicle is increased to the information of vehicles of the prewarning area of this correspondence, carries out statistical study for described information of vehicles statistical analysis module.
Preferably, described information of vehicles statistical analysis module comprises further:
Latitude and longitude information statistical analysis unit, it finds out the longitude and latitude scope of corresponding prewarning area according to the current latitude and longitude information of described vehicle, thus determines the prewarning area of the correspondence that described vehicle enters;
Vehicle fleet size Information Statistics analytic unit, for adding up the vehicle fleet size entering described prewarning area, and carries out the calculating of threshold levels to this vehicle fleet size;
Residence time Information Statistics analytic unit, for adding up the residence time of the vehicle entering described prewarning area, and carries out the calculating of threshold levels to this residence time.
The invention has the beneficial effects as follows:
The method for early warning that a kind of vehicle abnormality of the present invention is assembled and early warning system, it is by arranging prewarning area in GIS platform, and the prewarning area of this setting is sent to vehicle GPS equipment, GPS device is undertaken judging whether to enter described prewarning area by the latitude and longitude information of collection vehicle, and after entering described prewarning area, the current latitude and longitude information of vehicle is sent to GIS platform, GIS platform finds out corresponding prewarning area according to the current latitude and longitude information of described vehicle, this vehicle is increased to the information of vehicles of the prewarning area of this correspondence, and statistical study is carried out to the information of vehicles of described prewarning area, thus generate corresponding warning level, not only highly versatile, the situation that the vehicle abnormality that can cause a variety of causes is assembled makes early warning in time, and rate of false alarm is low, and accuracy is higher.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, forms a part of the present invention, and schematic description and description of the present invention, for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the general flow chart of the method for early warning that a kind of vehicle abnormality of the present invention is assembled;
Fig. 2 is the structural representation of the early warning system that a kind of vehicle abnormality of the present invention is assembled.
Embodiment
In order to make technical matters to be solved by this invention, technical scheme and beneficial effect clearly, understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
As shown in Figure 1, the method for early warning that a kind of vehicle abnormality of the present invention is assembled, it comprises the following steps:
10. prewarning area is set in GIS platform, and the prewarning area of this setting is sent to vehicle GPS equipment;
20.GPS equipment is undertaken judging whether to enter described prewarning area by the latitude and longitude information of collection vehicle, and after entering described prewarning area, the current latitude and longitude information of vehicle is sent to GIS platform;
30.GIS platform finds out corresponding prewarning area according to the current latitude and longitude information of described vehicle, this vehicle is increased to the information of vehicles of the prewarning area of this correspondence;
The information of vehicles of the prewarning area described in 40. pairs carries out statistical study, and generates corresponding warning level.
In described step 10, described prewarning area comprises one or more, and when this prewarning area is more than one, marks respectively to each prewarning area; Described vehicle can be public transit vehicle or other be provided with the vehicle of GPS device.
In described step 20, GPS device is undertaken judging whether to enter described prewarning area by the latitude and longitude information of collection vehicle, judged by the longitude and latitude scope corresponding to the latitude and longitude information of the vehicle by GPS device collection and described prewarning area, if the latitude and longitude information of vehicle is within the longitude and latitude scope corresponding to described prewarning area, then think that this vehicle enters described prewarning area.
In described step 20, the current latitude and longitude information of vehicle is sent to GIS platform by GIS platform after entering described prewarning area, refer to after vehicle enters described prewarning area, GIS platform to carry out the statistics of information of vehicles according to the time interval of presetting to the vehicle entering described prewarning area, and stops adding up the information of vehicles of this vehicle after described vehicle leaves described prewarning area.
In the present embodiment, described information of vehicles comprise vehicle position latitude and longitude information, enter the vehicle fleet size information of described prewarning area, enter the residence time information of the vehicle of described prewarning area.
In described step 30, GIS platform finds out corresponding prewarning area according to the current latitude and longitude information of described vehicle, this vehicle is increased to the information of vehicles of the prewarning area of this correspondence, it is the longitude and latitude scope finding out corresponding prewarning area according to the current latitude and longitude information of described vehicle, thus determine the prewarning area of the correspondence that described vehicle enters, then increase the vehicle fleet size information of this prewarning area accordingly, and the vehicle described in following the trail of is in the residence time information of this prewarning area.
In described step 40, statistical study is carried out to the information of vehicles of described prewarning area, and generate corresponding warning level, be the calculating vehicle fleet size information entering described prewarning area and the residence time information of vehicle that enters described prewarning area being carried out respectively to threshold levels, and generate corresponding warning level according to the result of calculation of threshold levels; And after the corresponding warning level of generation, further the prewarning area of this warning level and correspondence thereof is sent to corresponding responsible official, such as feed back to the GIS client notice dispatching and monitoring personnel of GIS platform, also can, according to the communication list in database, utilize note machine that alarm content is sent to relevant responsible official.
Warning level citing is as shown in table 1:
Table 1
As shown in Figure 2, the early warning system that the present invention also provides a kind of vehicle abnormality to assemble, it comprises GIS platform and vehicle GPS equipment, and wherein, described GIS platform comprises further:
Prewarning area arranges modules A, for arranging prewarning area in GIS platform, and the prewarning area of this setting is sent to vehicle GPS equipment;
Information of vehicles statistical analysis module B, for carrying out statistical study to the information of vehicles of described prewarning area, and generates corresponding warning level;
GPS device is undertaken judging whether to enter described prewarning area by the latitude and longitude information of collection vehicle, and after entering described prewarning area, the current latitude and longitude information of vehicle is sent to GIS platform, GIS platform finds out corresponding prewarning area according to the current latitude and longitude information of described vehicle, this vehicle is increased to the information of vehicles of the prewarning area of this correspondence, carries out statistical study for described information of vehicles statistical analysis module.
Wherein, described information of vehicles statistical analysis module B comprises further:
Latitude and longitude information statistical analysis unit B1, it finds out the longitude and latitude scope of corresponding prewarning area according to the current latitude and longitude information of described vehicle, thus determines the prewarning area of the correspondence that described vehicle enters;
Vehicle fleet size Information Statistics analytic unit B2, for adding up the vehicle fleet size entering described prewarning area, and carries out the calculating of threshold levels to this vehicle fleet size;
Residence time Information Statistics analytic unit B3, for adding up the residence time of the vehicle entering described prewarning area, and carries out the calculating of threshold levels to this residence time.
The prewarning area set, by setting special sensitizing range as prewarning area in GIS platform in advance, is sent to the GPS device on vehicle, sets parameter and threshold levels afterwards at server end by the present invention.Enter when vehicle and rest on prewarning area, utilize the centralized computing of server end, record the residence time and the vehicle fleet size rested in prewarning area, when resting on prewarning area quantity and arriving the threshold levels set, both triggered the early warning that strike stoppage in transit event may occur, the warning level of different brackets can have been produced according to the setting of threshold levels.During prediction occurring, the early warning information such as warning level and prewarning area is sent to GIS client notice monitoring and scheduling personnel by server end, also can, according to the communication list in database, utilize note machine that alarm content is sent to relevant responsible official.Early warning conclusion is drawn relative to the mode based on mathematical model employing probability statistics of prior art, the present invention is according to GIS platform, utilize GPS device positional information and residence time relation comprehensively to draw early warning conclusion, do not exist because of the probability wrong report situation caused, accuracy is higher.
It should be noted that, each embodiment in this instructions all adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar part mutually see.For system class embodiment, due to itself and embodiment of the method basic simlarity, so description is fairly simple, relevant part illustrates see the part of embodiment of the method.And, in this article, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising described key element and also there is other identical element.In addition, one of ordinary skill in the art will appreciate that all or part of step realizing above-described embodiment can have been come by hardware, the hardware that also can carry out instruction relevant by program completes, described program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be ROM (read-only memory), disk or CD etc.
Above-mentioned explanation illustrate and describes the preferred embodiments of the present invention, be to be understood that the present invention is not limited to the form disclosed by this paper, should not regard the eliminating to other embodiments as, and can be used for other combinations various, amendment and environment, and can in invention contemplated scope herein, changed by the technology of above-mentioned instruction or association area or knowledge.And the change that those skilled in the art carry out and change do not depart from the spirit and scope of the present invention, then all should in the protection domain of claims of the present invention.
Claims (10)
1. a method for early warning for vehicle abnormality gathering, is characterized in that, comprise the following steps:
10. prewarning area is set in GIS platform, and the prewarning area of this setting is sent to vehicle GPS equipment;
20.GPS equipment is undertaken judging whether to enter described prewarning area by the latitude and longitude information of collection vehicle, and after entering described prewarning area, the current latitude and longitude information of vehicle is sent to GIS platform;
30.GIS platform finds out corresponding prewarning area according to the current latitude and longitude information of described vehicle, this vehicle is increased to the information of vehicles of the prewarning area of this correspondence;
The information of vehicles of the prewarning area described in 40. pairs carries out statistical study, and generates corresponding warning level.
2. the method for early warning of a kind of vehicle abnormality gathering according to claim 1, it is characterized in that: in described step 10, described prewarning area comprises one or more, and when this prewarning area is more than one, marks respectively to each prewarning area.
3. the method for early warning of a kind of vehicle abnormality gathering according to claim 1, it is characterized in that: in described step 20, GPS device is undertaken judging whether to enter described prewarning area by the latitude and longitude information of collection vehicle, judged by the longitude and latitude scope corresponding to the latitude and longitude information of the vehicle by GPS device collection and described prewarning area, if the latitude and longitude information of vehicle is within the longitude and latitude scope corresponding to described prewarning area, then think that this vehicle enters described prewarning area.
4. the method for early warning of a kind of vehicle abnormality gathering according to claim 1, it is characterized in that: in described step 20, the current latitude and longitude information of vehicle is sent to GIS platform by GIS platform after entering described prewarning area, refer to after vehicle enters described prewarning area, GIS platform to carry out the statistics of information of vehicles according to the time interval of presetting to the vehicle entering described prewarning area, and stops adding up the information of vehicles of this vehicle after described vehicle leaves described prewarning area.
5. the method for early warning assembled of a kind of vehicle abnormality according to claim 1, is characterized in that: described information of vehicles comprise vehicle position latitude and longitude information, enter the vehicle fleet size information of described prewarning area, enter the residence time information of the vehicle of described prewarning area.
6. the method for early warning that a kind of vehicle abnormality according to claim 1 or 2 or 3 or 4 or 5 is assembled, it is characterized in that: in described step 30, GIS platform finds out corresponding prewarning area according to the current latitude and longitude information of described vehicle, this vehicle is increased to the information of vehicles of the prewarning area of this correspondence, it is the longitude and latitude scope finding out corresponding prewarning area according to the current latitude and longitude information of described vehicle, thus determine the prewarning area of the correspondence that described vehicle enters, then the vehicle fleet size information of this prewarning area is increased accordingly, and the vehicle described in following the trail of is in the residence time information of this prewarning area.
7. the method for early warning that a kind of vehicle abnormality according to claim 1 or 2 or 3 or 4 or 5 is assembled, it is characterized in that: in described step 40, statistical study is carried out to the information of vehicles of described prewarning area, and generate corresponding warning level, be the calculating vehicle fleet size information entering described prewarning area and the residence time information of vehicle that enters described prewarning area being carried out respectively to threshold levels, and generate corresponding warning level according to the result of calculation of threshold levels.
8. the method for early warning that a kind of vehicle abnormality according to claim 1 or 2 or 3 or 4 or 5 is assembled, it is characterized in that: after generating corresponding warning level in described step 40, further the prewarning area of this warning level and correspondence thereof is sent to corresponding responsible official.
9. an early warning system for vehicle abnormality gathering, it is characterized in that, it comprises GIS platform and vehicle GPS equipment, and wherein, described GIS platform comprises further:
Prewarning area arranges module, for arranging prewarning area in GIS platform, and the prewarning area of this setting is sent to vehicle GPS equipment;
Information of vehicles statistical analysis module, for carrying out statistical study to the information of vehicles of described prewarning area, and generates corresponding warning level;
GPS device is undertaken judging whether to enter described prewarning area by the latitude and longitude information of collection vehicle, and after entering described prewarning area, the current latitude and longitude information of vehicle is sent to GIS platform, GIS platform finds out corresponding prewarning area according to the current latitude and longitude information of described vehicle, this vehicle is increased to the information of vehicles of the prewarning area of this correspondence, carries out statistical study for described information of vehicles statistical analysis module.
10. the early warning system of a kind of vehicle abnormality gathering according to claim 9, is characterized in that: described information of vehicles statistical analysis module comprises further:
Latitude and longitude information statistical analysis unit, it finds out the longitude and latitude scope of corresponding prewarning area according to the current latitude and longitude information of described vehicle, thus determines the prewarning area of the correspondence that described vehicle enters;
Vehicle fleet size Information Statistics analytic unit, for adding up the vehicle fleet size entering described prewarning area, and carries out the calculating of threshold levels to this vehicle fleet size;
Residence time Information Statistics analytic unit, for adding up the residence time of the vehicle entering described prewarning area, and carries out the calculating of threshold levels to this residence time.
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| 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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