CN101540103A - Method and system for traffic information acquisition and event processing - Google Patents
Method and system for traffic information acquisition and event processing Download PDFInfo
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Abstract
The invention discloses a method and a system for traffic information acquisition and event processing to acquire traffic information of a plurality of road sections in real time so as to achieve the management of the plurality of the road sections according to the traffic information. The method comprises the following steps: selecting an information acquisition cycle; acquiring traffic data of certain road section in real time at the end of each information acquisition cycle, wherein the traffic data comprises traffic occupation ratio and speed; preprocessing the traffic data; and performing traffic state analysis and traffic event detection analysis on the traffic data to obtain traffic state information and traffic event information of a corresponding road section. The method and the system achieve automatic discrimination and timely issuance of road traffic states and traffic events on the basis of the acquired traffic data and save a great deal of workload for manual judgement; and simultaneously, the information issuance is simple, intuitive and timely, and can provide real-time traffic road condition information for traffic controllers to lead the traffic in time, and guide a driver to select a best traveling route.
Description
Technical field
The present invention relates to a kind of traffic administration method and system, the method and system of particularly a kind of traffic information collection and event handling.
Background technology
Along with the fast development of urban economy and the rapid increase of automobile pollution, urban highway traffic main node, highway section can occur state of saturation in morning during evening peak.How to gather traffic data accurately,,, judge the traffic behavior in each bar highway section, induce the driver to select suitable path, accomplish the reasonable distribution of traffic flow by particular analysis to traffic data for the communications policy analysis provides support; Simultaneously, the traffic events that is taken place on the road is detected in real time, when having detected the traffic events generation, confirm the incident reason by the staff, the various emergent traffic events of fast processing are to need the urgent problem that solves at present.
Yet the collection of urban road traffic information mainly is at city expressway or highway at present, and the construction of the bigger urban ground road of the reticular density of satisfying the need has also just begun to attempt, also little the same for cutout traffic mechanism between urban road with continuous stream, its traffic behavior is judged with the traffic events detection and need be rethought.
Summary of the invention
The object of the present invention is to provide a kind of traffic information collection and event-handling method, make it to be applicable to that the real-time road traffic state of entire city judges and event detection, be fit to the feature that stops between urban road, make the traffic of the grasp road that the driver can be real-time, save road up stroke institute's time spent, save infrastructure investment simultaneously.
Another object of the present invention is to provide a kind of traffic information collection and event handling system, make it to be applicable to that the real-time road traffic state of entire city judges and event detection, be fit to the feature that stops between urban road, make the traffic of the grasp road that the driver can be real-time, save road up stroke institute's time spent, save infrastructure investment simultaneously.
For this reason, the invention provides a kind of traffic information collection and event-handling method, in order to obtaining the transport information in a plurality of highway sections in real time, and then realize management to above-mentioned a plurality of highway sections according to these transport information, this method comprises: the information of choosing is obtained the cycle; Obtain the end of term in week in each information, gather the traffic data in above-mentioned certain highway section in real time, wherein this traffic data comprises traffic occupation rate and speed; This traffic data of pre-service; This traffic data is carried out traffic behavior analysis and traffic events check and analysis, obtain the traffic state information and the traffic event information of corresponding road section.
Further, described traffic information collection and event-handling method also comprise: the traffic data sampling analysis is carried out in above-mentioned each highway section; According to the sampling analysis result, set N traffic occupation rate threshold value for each highway section and divide N+1 different traffic behavior, wherein N is a positive integer.
Further, above-mentioned traffic behavior analytic process comprises the steps: the traffic occupation rate threshold value of more above-mentioned certain highway section through pretreated traffic occupation rate data and this highway section, determines the residing traffic behavior in this highway section.
Further, above-mentioned N is 2, promptly for each highway section, preestablishes 2 traffic occupation rate threshold values and divides 3 different traffic behaviors
Further, above-mentioned 3 traffic behaviors correspond to unimpeded, crowded, obstruction.
Further, described traffic information collection and event-handling method also comprise: the traffic data sampling analysis is carried out in above-mentioned each highway section; According to the sampling analysis result, for setting traffic occupation rate difference limen value and threshold speed in each highway section.
Further, above-mentioned traffic events check and analysis process comprise the steps: more above-mentioned certain highway section through pretreated traffic occupation rate parameter over time with traffic occupation rate difference limen value and the speed parameter and the threshold speed in this highway section, judged whether that traffic events takes place.
Further, when above-mentioned comparative result is following situation, is judged as traffic events and takes place: the difference of the traffic occupation rate of current period and the traffic occupation rate in preceding two cycles not greater than the speed of traffic occupation rate difference limen value and current period less than threshold speed; The difference of the traffic occupation rate in perhaps preceding two cycles and the traffic occupation rate of current period is not greater than traffic occupation rate difference limen value.
Further, above-mentioned traffic events check and analysis process also comprises: by video detector, directly utilize Flame Image Process to judge whether that traffic events takes place.
Further, described traffic information collection and event-handling method also comprise: store and issue traffic state information and the traffic event information that obtains.
The present invention provides a kind of traffic information collection and event handling system in addition, in order to obtain the transport information in a plurality of highway sections in real time, and then according to the management of these transport information realizations to above-mentioned a plurality of highway sections, this system comprises: data collector, obtain the end of term in week in each information, gather the traffic data in above-mentioned certain highway section in real time, wherein this traffic data comprises traffic occupation rate and speed; Traffic information center, the traffic data that reception and deal with data acquisition module are gathered, this center comprises: pretreatment module, the traffic data that receives is carried out pre-service; The traffic behavior judge module is to carrying out the traffic behavior analysis through pretreated traffic data, the output traffic state information; The traffic events detection module is to carrying out the traffic events check and analysis through pretreated traffic data, the output traffic event information.
Further, described traffic information collection and event handling system also comprise: transmitting device, the traffic data that data collector is collected transfers to traffic information center.
Further, above-mentioned transmitting device is wired or radio transmitting device.
Further, above-mentioned traffic information center also comprises: traffic behavior threshold data storehouse, and N the traffic occupation rate threshold value that stores each highway section divided N+1 different traffic behavior, and wherein N is a positive integer; Traffic events threshold data storehouse stores the traffic occupation rate difference limen value and the threshold speed in each highway section.
Further, the residing traffic behavior in this highway section is determined through the traffic occupation rate threshold value in pretreated traffic occupation rate data and this highway section in more above-mentioned certain highway section of above-mentioned traffic behavior judge module.
Further, more above-mentioned certain highway section of above-mentioned traffic events detection module through pretreated traffic occupation rate parameter over time with traffic occupation rate difference limen value and the speed parameter and the threshold speed in this highway section, judged whether that traffic events takes place.
Further, in above-mentioned traffic events detection module, when comparative result is following situation, is judged as traffic events and takes place: the difference of the traffic occupation rate of current period and the traffic occupation rate in preceding two cycles not greater than the speed of traffic occupation rate difference limen value and current period less than threshold speed; The difference of the traffic occupation rate in perhaps preceding two cycles and the traffic occupation rate of current period is not greater than traffic occupation rate difference limen value.
Further, above-mentioned data collector also comprises video detector, gathers the view data in above-mentioned certain highway section in real time.
Further, above-mentioned traffic events detection module also comprises image processing module, directly utilizes above-mentioned view data to judge whether that traffic events takes place.
Further, described traffic information collection and event handling system also comprise: system client shows the transport information in above-mentioned a plurality of highway sections in real time.
In sum, disclosed traffic information collection of the present invention and event-handling method and system realize the workload of a large amount of artificial judgment has been saved in the automatic differentiation of road traffic state and traffic events and issue in time based on the traffic data of gathering; The scope of information acquisition simultaneously is wide, and transmission speed is fast, can accomplish that data in real time uploads; And, meet the feature of being interrupted traffic flow more based on traffic occupation rate parameter; Can report to the police automatically for traffic events, the staff is simple to operate, and is easy to implement; Information is issued simple, intuitive and in time, can in time be relieved traffic congestion for the traffic administration personnel, and the guiding driver selects best traffic route that real-time traffic information is provided.
Description of drawings
Fig. 1 is the traffic information collection that one embodiment of the invention provided and the schematic flow sheet of event-handling method;
Fig. 2 is the schematic flow sheet that the traffic behavior in one embodiment of the invention is analyzed;
Fig. 3 is the schematic flow sheet of the traffic events check and analysis in one embodiment of the invention;
Fig. 4 is the traffic information collection that one embodiment of the invention provided and the block scheme of event handling system.
Embodiment
For purpose of the present invention, feature are become apparent, the specific embodiment of the present invention is further described below in conjunction with accompanying drawing.
At first the physical meaning of traffic occupation rate is done explanation, to make things convenient for to the understanding of embodiment thereafter, the traffic occupation rate is the ratio that vehicle accounts for total timing statistics in a period of time through the temporal summation of traffic detecting device, for example in 5 minutes, commonly 5 cars have been crossed, be 5 seconds, 10 seconds, 15 seconds, 20 seconds, 25 seconds through the used time of detecting device respectively, then traffic occupation rate is (5+10+15+20+25)/300*100%=26.67%.
Please refer to Fig. 1, it is the traffic information collection that one embodiment of the invention provided and the schematic flow sheet of event-handling method.This management method is in order to obtaining the transport information in a plurality of highway sections in real time, and then realizes management to above-mentioned a plurality of highway sections according to these transport information, and as shown in the figure, this method may further comprise the steps:
Step S10: the information of choosing is obtained the cycle;
Step S20: obtain the end of term in week in each information, gather the traffic data in certain highway section in real time, wherein this traffic data comprises traffic occupation rate and speed;
Step S30: the traffic data that pre-service collects;
Step S40: traffic data is carried out traffic behavior analysis and traffic events check and analysis, obtain the traffic state information and the traffic event information of corresponding road section.
In step S10, in order to choose the suitable cycle, need carry out primary-stage survey the signal timing dial situation of intersection etc. when for example investigating condition of road surface, traffic flow situation and the peak in highway section and non-peak to each highway section.Analysis obtains investigating the result, obtains the cycle thereby choose this information according to the investigation result, for example is 180 seconds to 600 seconds.In the present embodiment, for example choose 300 seconds.
In step S20, in order to gather the traffic data in each highway section, various traffic detecting devices are set with suiting measures to local conditions in each highway section, comprising: video detector, coil checker, radar detector, microwave detector and infrared detector etc.These detecting devices can both be direct or indirect obtain traffic datas such as traffic occupation rate and speed.And detecting device for example is provided with in the mode in the corresponding unidirectional highway section of a detecting device.
In step S30, pretreated process comprises: replenish or replace obliterated data and misdata in the traffic data with exponential forecasting data, with guarantee the complete of traffic data with accurately; The gained traffic data is carried out an exponential smoothing filtering, thereby reduce the stochastic error of traffic data.
And the detailed implementation process of traffic behavior analysis among the step S40 and traffic events check and analysis will provide detailed description in following.Please refer to Fig. 2 and Fig. 3, it is respectively the schematic flow sheet of traffic behavior analysis and traffic events check and analysis.
As shown in Figure 2, the traffic behavior analysis comprises the steps:
Step S401: the traffic data sampling analysis is carried out in each highway section;
Step S403: according to the sampling analysis result, set N traffic occupation rate threshold value for each highway section and divide N+1 different traffic behavior, wherein N is a positive integer.
Step S405: relatively the residing traffic behavior in this highway section is determined through the traffic occupation rate threshold value in pretreated traffic occupation rate data and this highway section in certain highway section.
For example,, set 2 traffic occupation rate threshold value OC1, OC2 in advance respectively, divide 3 different traffic behaviors, respectively corresponding unimpeded, crowded, three kinds of traffic behaviors of obstruction for different highway sections.The comparative result of the traffic occupation rate OC in certain highway section that then collects and traffic occupation rate threshold value OC1, OC2 and the corresponding relation of traffic behavior are as follows:
As OC≤OC1, then traffic behavior is unimpeded;
As OC1＜OC≤OC2, then traffic behavior is for crowded;
As OC＞OC2, then traffic behavior is for stopping up.
Utilize the traffic occupation rate to judge traffic behavior at this, more meet the feature of being interrupted traffic flow, yet the present invention is not as limit, those skilled in the art also can point out in view of the above, (for example introduce other traffic parameters, speed, the magnitude of traffic flow etc.), carry out the judgement of traffic behavior in conjunction with the traffic occupation rate.
In order to show traffic state information more intuitively, can be unimpeded with green, yellow, red 3 kinds of color showings respectively, crowd, stop up this three kinds of traffic behaviors, the traffic state information that compares gained is stored in the database, refresh simultaneously the road GIS interface of client in real time, the color of upgrading each highway section shows, makes the driver see the traffic in each highway section intuitively and selects suitable path.
As shown in Figure 3, the traffic events check and analysis comprise the steps:
Step S401: the traffic data sampling analysis is carried out in each highway section;
Step S402: according to the sampling analysis result, for setting traffic occupation rate difference limen value and threshold speed in each highway section.
Step S404: relatively certain highway section through pretreated traffic occupation rate parameter over time with traffic occupation rate difference limen value and the speed parameter and the threshold speed in this highway section, judged whether that traffic events takes place.
Wherein when above-mentioned comparative result is following situation, is judged as traffic events and takes place: the difference of the traffic occupation rate of current period and the traffic occupation rate in preceding two cycles not greater than the speed of traffic occupation rate difference limen value and current period less than threshold speed; The difference of the traffic occupation rate in perhaps preceding two cycles and the traffic occupation rate of current period is not greater than traffic occupation rate difference limen value.
For example, preestablish the traffic occupation rate difference limen value Ai and the threshold speed Vi in i highway section in a plurality of highway sections.The traffic occupation rate in continuous three cycles of the detecting device in this highway section is R1i, R2i, R3i, and wherein R3i is the traffic occupation rate of current period; And the speed of current period is V3i.Then whether comparative result is with to have traffic events to be related as follows:
When R3i-R1i＞Ai and R3i-R2i＞Ai and V3i＜Vi, there is traffic events to take place; Perhaps
When R1i-R3i＞Ai and R2i-R3i＞Ai, there is traffic events to take place.
In addition, detection for traffic events, the direct method that also exists traffic events to detect, just be to use Flame Image Process to judge whether to exist the vehicle that travels unusually, this suitable video detector can detect exception parking, drives in the wrong direction, incidents such as hypervelocity or Ultra-Low Speed, superelevation occupation rate or ultralow occupation rate, vehicle are crowded, vehicle obstruction.
In order in time to handle traffic events, when traffic events takes place, on the GIS interface of client, to be reported to the police in this highway section, handled easily personnel handle; If video then starts DVR and records a video, comprise that the anomalous event of the direct detection of video detector is also done this processing simultaneously.
After obtaining the status information and event information in traffic highway section, comprise directly detected unusual traffic events of video, when information collection server is stored, the staff can remind the traffic controller that emphasis is carried out in the highway section that blocks up and dredge simultaneously by inducing screen, Traffic Announcement, short message untill further notice driver.
One embodiment of the invention also provides a kind of traffic information collection and event handling system, in order to obtaining the transport information in a plurality of highway sections in real time, and then realizes management to above-mentioned a plurality of highway sections according to these transport information.Please refer to Fig. 4, it is the block scheme of this system.This system comprises data collector 100 and traffic information center 200, and wherein data collector 100 obtains the end of term in week in each information, gathers the traffic data in certain highway section in real time, and wherein this traffic data comprises traffic occupation rate and speed; The traffic data that traffic information center 200 receives and the deal with data acquisition module is gathered.Traffic information center 200 comprises pretreatment module 210, traffic behavior judge module 220 and traffic events detection module 230.Wherein 210 pairs of traffic datas that receive of pretreatment module carry out pre-service; 220 pairs of pretreated traffic datas of process of traffic behavior judge module carry out the traffic behavior analysis, the output traffic state information; 230 pairs of pretreated traffic datas of process of traffic events detection module carry out the traffic events check and analysis, the output traffic event information.
The transmission of the traffic data between data collector 100 and the traffic information center 200 can be provided with transmitting device 300 in two ends for convenience, and it can be wired or radio transmitting device.
For example, data collector 100 is for being arranged at the traffic detecting device in each highway section, for example: video detector, coil checker, radar detector, microwave detector or infrared detector etc., its set-up mode are the corresponding unidirectional highway section of a traffic detecting device.Be the selection information transmission mode that each traffic detecting device is provided with communication transmission equipment and can suits measures to local conditions simultaneously, for example adopt the Optical Fiber Transmission mode, point-to-point fiber optic transmission can improve the quality of video or data transmission, transmission range can cover the city proper, and makes the transmission of each point not influenced by other; Under the prerequisite that does not reduce transmission quality, can adopt wireless transmission methods such as GSM/GPRS when condition is limited, the situ configuration transmitting apparatus, information center's configuration receiving equipment is if two check points are not far from one another, consider to merge into a communication transmission point, to save cost.
In addition, the traffic information center 200 of this system also comprises traffic behavior threshold data storehouse D1 and traffic events threshold data storehouse D2, wherein D1 N traffic occupation rate threshold value storing each highway section in traffic behavior threshold data storehouse divided N+1 different traffic behavior, and wherein N is a positive integer; Traffic events threshold data storehouse D2 stores the traffic occupation rate difference limen value and the threshold speed in each highway section.Then traffic behavior judge module 220 is relatively determined the residing traffic behavior in this highway section through the traffic occupation rate threshold value in pretreated traffic occupation rate data and this highway section in certain highway section; Traffic events detection module 230 relatively certain highway section through pretreated traffic occupation rate parameter over time with traffic occupation rate difference limen value and the speed parameter and the threshold speed in this highway section, judged whether that traffic events takes place, wherein in above-mentioned traffic events detection module, when comparative result is following situation, is judged as traffic events and takes place: the difference of the traffic occupation rate of current period and the traffic occupation rate in preceding two cycles not greater than the speed of traffic occupation rate difference limen value and current period less than threshold speed; The difference of the traffic occupation rate in perhaps preceding two cycles and the traffic occupation rate of current period is not greater than traffic occupation rate difference limen value.More than the details of two comparison procedure described with instantiation in the above, do not repeat them here.
When the detecting device in certain highway section adopted video detector, it can gather the view data in this highway section in real time.And traffic events detection module 230 can correspondence be provided with an image processing module 240 at this moment, directly utilizes above-mentioned view data to judge whether that traffic events takes place.
In addition, this traffic information collection and event handling system also comprise the transport information of system client 400 with each highway section of real-time demonstration.
The data that traffic information collection that the embodiment of the invention provided and event-handling method and system gather based on the traffic detecting device realize differentiating automatically to road traffic state, and issue in time, have saved a large amount of artificial judgment workloads; The coverage of information acquisition can be very wide, can contain various traffic detection modes, and the information acquisition transmission speed is fast, can accomplish that data in real time uploads; It chooses traffic occupation rate parameter as basis for estimation, meets the feature of being interrupted traffic flow more; Show road traffic state information on road GIS interface in real time, simple, intuitive can be reported to the police automatically for traffic events, and the staff is simple to operate, easy to implement; Information is issued simple, intuitive and in time, can in time be relieved traffic congestion for the traffic administration personnel, and the guiding driver selects best traffic route that real-time traffic information is provided.
, be not that protection scope of the present invention should be as the criterion with the scope that claims are contained in order to qualification the present invention below only for for example.
Claims (20)
1. traffic information collection and event-handling method in order to obtaining the transport information in a plurality of highway sections in real time, and then are realized it is characterized in that management to above-mentioned a plurality of highway sections according to these transport information, comprising:
The information of choosing is obtained the cycle;
Obtain the end of term in week in each information, gather the traffic data in above-mentioned certain highway section in real time, wherein this traffic data comprises traffic occupation rate and speed;
This traffic data of pre-service;
This traffic data is carried out traffic behavior analysis and traffic events check and analysis, obtain the traffic state information and the traffic event information of corresponding road section.
2. traffic information collection according to claim 1 and event-handling method is characterized in that, also comprise:
The traffic data sampling analysis is carried out in above-mentioned each highway section;
According to the sampling analysis result, set N traffic occupation rate threshold value for each highway section and divide N+1 different traffic behavior, wherein N is a positive integer.
3. traffic information collection according to claim 2 and event-handling method is characterized in that, wherein above-mentioned traffic behavior analytic process comprises the steps:
The residing traffic behavior in this highway section is determined through the traffic occupation rate threshold value in pretreated traffic occupation rate data and this highway section in more above-mentioned certain highway section.
4. traffic information collection according to claim 2 and event-handling method is characterized in that, wherein above-mentioned N is 2, promptly for each highway section, preestablish 2 traffic occupation rate threshold values and divide 3 different traffic behaviors.
5. traffic information collection according to claim 4 and event-handling method is characterized in that, unimpeded, crowded, obstruction that wherein above-mentioned 3 traffic behaviors correspond to.
6. traffic information collection according to claim 1 and event-handling method is characterized in that, also comprise:
The traffic data sampling analysis is carried out in above-mentioned each highway section;
According to the sampling analysis result, for setting traffic occupation rate difference limen value and threshold speed in each highway section.
7. traffic information collection according to claim 6 and event-handling method is characterized in that, wherein above-mentioned traffic events check and analysis process comprises the steps:
More above-mentioned certain highway section through pretreated traffic occupation rate parameter over time with traffic occupation rate difference limen value and the speed parameter and the threshold speed in this highway section, judged whether that traffic events takes place.
8. traffic information collection according to claim 7 and event-handling method is characterized in that, wherein when above-mentioned comparative result is following situation, has been judged as traffic events and has taken place:
The difference of the traffic occupation rate of current period and the traffic occupation rate in preceding two cycles not greater than the speed of traffic occupation rate difference limen value and current period less than threshold speed; Perhaps
The difference of the traffic occupation rate in preceding two cycles and the traffic occupation rate of current period is not greater than traffic occupation rate difference limen value.
9. traffic information collection according to claim 1 and event-handling method is characterized in that, wherein above-mentioned traffic events check and analysis process also comprises:
By video detector, directly utilize Flame Image Process to judge whether that traffic events takes place.
10. traffic information collection according to claim 1 and event-handling method is characterized in that, also comprise:
Store and issue traffic state information and the traffic event information that obtains.
11. traffic information collection and event handling system in order to obtaining the transport information in a plurality of highway sections in real time, and then are realized it is characterized in that management to above-mentioned a plurality of highway sections according to these transport information, comprising:
Data collector obtains the end of term in week in each information, gathers the traffic data in above-mentioned certain highway section in real time, and wherein this traffic data comprises traffic occupation rate and speed;
Traffic information center, the traffic data that reception and deal with data acquisition module are gathered, this center comprises:
Pretreatment module is carried out pre-service to the traffic data that receives;
The traffic behavior judge module is to carrying out the traffic behavior analysis through pretreated traffic data, the output traffic state information;
The traffic events detection module is to carrying out the traffic events check and analysis through pretreated traffic data, the output traffic event information.
12. traffic information collection according to claim 11 and event handling system is characterized in that, also comprise:
Transmitting device, the traffic data that data collector is collected transfers to traffic information center.
13. traffic information collection according to claim 12 and event handling system is characterized in that, wherein above-mentioned transmitting device is wired or radio transmitting device.
14. traffic information collection according to claim 11 and event handling system is characterized in that, wherein above-mentioned traffic information center also comprises:
Traffic behavior threshold data storehouse, N the traffic occupation rate threshold value that stores each highway section divided N+1 different traffic behavior, and wherein N is a positive integer;
Traffic events threshold data storehouse stores the traffic occupation rate difference limen value and the threshold speed in each highway section.
15. traffic information collection according to claim 14 and event-handling method, it is characterized in that, the residing traffic behavior in this highway section is determined through the traffic occupation rate threshold value in pretreated traffic occupation rate data and this highway section in more above-mentioned certain highway section of wherein above-mentioned traffic behavior judge module.
16. traffic information collection according to claim 14 and event-handling method, it is characterized in that, more above-mentioned certain highway section of wherein above-mentioned traffic events detection module through pretreated traffic occupation rate parameter over time with traffic occupation rate difference limen value and the speed parameter and the threshold speed in this highway section, judged whether that traffic events takes place.
17. traffic information collection according to claim 16 and event-handling method is characterized in that, wherein in above-mentioned traffic events detection module, when comparative result is following situation, has been judged as traffic events and has taken place:
The difference of the traffic occupation rate of current period and the traffic occupation rate in preceding two cycles not greater than the speed of traffic occupation rate difference limen value and current period less than threshold speed; Perhaps
The difference of the traffic occupation rate in preceding two cycles and the traffic occupation rate of current period is not greater than traffic occupation rate difference limen value.
18. traffic information collection according to claim 11 and event handling system is characterized in that, wherein above-mentioned data collector also comprises:
Video detector is gathered the view data in above-mentioned certain highway section in real time.
19. traffic information collection according to claim 18 and event handling system is characterized in that, wherein above-mentioned traffic events detection module also comprises:
Image processing module directly utilizes above-mentioned view data to judge whether that traffic events takes place.
20. traffic information collection according to claim 11 and event handling system is characterized in that, also comprise:
System client shows the transport information in above-mentioned a plurality of highway sections in real time.
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Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2718874B1 (en) * | 1994-04-15 | 1996-05-15 | Thomson Csf | Traffic monitoring method for automatic detection of vehicle incidents. |
| CN100337256C (en) * | 2005-05-26 | 2007-09-12 | 上海交通大学 | Method for estimating city road network traffic flow state |
| CN100502463C (en) * | 2005-12-14 | 2009-06-17 | 浙江工业大学 | Method for collecting characteristics in telecommunication flow information video detection |
| CN100481153C (en) * | 2007-05-30 | 2009-04-22 | 东南大学 | Method for automatically inspecting highway traffic event based on offset minimum binary theory |
| CN100501795C (en) * | 2007-07-11 | 2009-06-17 | 山东省计算中心 | A dynamic road status information collection method for associated road segments of intersection |
-
2008
- 2008-03-17 CN CN 200810034721 patent/CN101540103B/en active Active
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