CN100580734C - Automatic detection confirmations method for urban traffic incident - Google Patents
Automatic detection confirmations method for urban traffic incident Download PDFInfo
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- CN100580734C CN100580734C CN200710190224A CN200710190224A CN100580734C CN 100580734 C CN100580734 C CN 100580734C CN 200710190224 A CN200710190224 A CN 200710190224A CN 200710190224 A CN200710190224 A CN 200710190224A CN 100580734 C CN100580734 C CN 100580734C
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Abstract
The invention relates to an automatic detection identification method of city traffic accidents and reaches the object that rapid disposal capacity of the city traffic accidents is improved through the comprehensive application of the traffic accident automatic detection technique and the non-automatic detection technique and the casualties and property loss caused by the city traffic accidents is reduced through the comprehensive application of traffic accident automatic detection technique and non-automatic detection technique. The concrete method is that traffic accident influent length L=(V<up-Vdown)l/n is identified through the method that data are read and is transmitted to traffic comprehensive information platform; accident site image information collected by city traffic monitoring system is read; whether the traffic accident happens or not is judged by the video mode recognition technique; traffic accident special database transmits the index information and accident detection signals such as rank valuation, accident hazard degree, traffic disposal demand and accident rescue demand to traffic comprehensive information platform to be processed according to the relational traffic accident data and the indexes such as phrase vague decision model, generation traffic accident class, accident hazard degree, traffic disposal demand and accident rescue demand.
Description
Technical field
The present invention relates to integrated application, improve the quick disposing capacity of urban transportation unscheduled event, reduce casualties and property loss that the urban transportation unscheduled event causes by traffic accident incident Automatic Measurement Technique and non-automatic detection technique.Belong to the urban traffic management field.
Background technology
Since lack modern transportation consciousness, driver's driving technology unskilled, do not observe traffic rules and regulations, factor such as traffic administration ability, China's urban highway traffic unscheduled event frequently takes place, cause casualties, property loss, have a strong impact on the construction of China harmonious society.The fast detecting of traffic accident incident is to avoid, alleviate the precondition of casualties and property loss.Usually, highway at home and abroad, city advanced road etc. all can detect the traffic accident incident by automatic testing method or the manual supervisory non-automatic detection technique based on the traffic flow changed condition.
Yet, in China city traffic network, because the mixed traffic flow that ubiquity is combined by multiple current modes such as motor vehicle, bicycle, pedestrians, cause traffic flow changed condition complexity, the effect that detects the traffic accident incident by the automatic testing method based on the traffic flow changed condition is unsatisfactory, rate of false alarm is higher, need carry out could carrying out corresponding rescue work after the affirmation of traffic accident incident; Along with quickening of urbanization process, cause manual monitoring mode working strength big, cause work fatigue easily, cause and phenomenon such as can't in time detect, testing result is inaccurate.In addition, after finding the traffic accident incident, because event detection, affirmation, report personnel are not the professional of traffic accident event handling usually, all can cause the collection of relevant information of traffic accident incident not comprehensive, the events affecting degree is judged inaccurate.Above-mentioned phenomenon all is unfavorable for carrying out of traffic disposal and emergency relief work.
Through inventor's discovery that studies for a long period of time, Automatic Measurement Technique and non-automatic detection technique integrated application with the traffic accident incident, according to different detection modes, take corresponding traffic accident incident to confirm and the information acquisition measure, and by traffic accident incident expert database, can effectively improve traffic accident event detection efficient and detect effect,, help the traffic disposal and the incident rescue of urban transportation unscheduled event for the disposal of urban transportation unscheduled event submits necessary information.
Summary of the invention
Technical matters: the purpose of this invention is to provide a kind of urban transportation unscheduled event and detect confirmation method, utilize existing urban transportation detection, watch-dog, by traffic accident incident Automatic Measurement Technique and and the integrated application of non-automatic detection technique, gather dependent event information, by traffic accident incident expert database, the traffic accident incident is judged.When satisfying the fast detecting demand of urban transportation unscheduled event, improve traffic accident incident fast detecting effect, for follow-up traffic disposal and incident rescue provide foundation.
Technical scheme: find after the doubtful traffic accident incident, take the affirmation and the information of corresponding traffic accident incident to obtain measure, analyze factors such as event class evaluation, the incident extent of injury, traffic handle demand, incident rescue demand by traffic accident incident expert database, detect urban transportation unscheduled event efficient thereby promote, be convenient to determine the events affecting scope fast, generate interim disposal method etc.
Urban transportation unscheduled event of the present invention detects confirmation method automatically and detects, confirms the traffic accident incident automatically by computer control, gathers traffic data, generates traffic accident incident opinion rating, avoids artificial factor, and its concrete grammar is:
1.) find the traffic accident incident by traffic accident incident overall checkout equipment, send the traffic accident incident and find signal, find the signal source of signal according to the traffic accident incident, carry out the traffic accident event handling:, change step 3) over to when signal source is detected and sent by video monitoring, fleet's report, friendship patrol police; When signal source is sent by automatic detection mode, the accident of reading is sent out upstream, highway section magnitude of traffic flow V
Up, downstream magnitude of traffic flow V
Down, number of track-lines n and average vehicle commander l, determine traffic accident events affecting length by reading of data:
Be uploaded to traffic integration information platform; When signal source is sent by the call mode, according to the voice data of call, retrieval casualties, dangerous material leak, fire information, are uploaded to traffic integration information platform,
2.) read the love scene image information that City Traffic Monitor System is gathered, judge by the video mode recognition technology whether the traffic accident incident takes place, if can't obtain traffic accident incident generation scene image information, must be by the artificial on-the-spot traffic accident incident of confirming, give confirmation signal
3.) traffic accident incident expert data library searching, storage urban traffic signal supervisory system and the shared traffic accident incident relevant information of " 122 " alarm and command system, traffic accident incident related information content comprises event time information, location of incident information, incident loss of information, event type information, site traffic information, rescue demand information, road information
4.) traffic accident incident expert database by the level fuzzy decision model, generates indexes such as traffic accident event class, the incident extent of injury, traffic handle demand, incident rescue demand according to the traffic accident event related data,
5.) traffic accident incident expert database is passed to traffic integration information platform with index information such as the grade evaluation of incident, the incident extent of injury, traffic handle demand, incident rescue demand and event detection signal and handles by sharing transmission interface.
In the traffic accident event information of described collection:
Event time information is meant the time of origin of traffic accident incident and the report time of traffic accident incident,
Location of incident information is meant the title of site road and influence the flow direction of motor vehicle, determines the specified place of traffic accident incident generation: in the road, outside roadside or the road, and love scene takies number of track-lines: 1, more than 2 or 3,
The incident loss of information is meant the casualties situation and when the thing vehicle number, the casualties situation comprises death, severe injury, slight wound number; When the thing vehicle number comprises compact car, in-between car, heavy goods vehicles, bus, dangerous haulage vehicle number;
Event type information is meant between motor vehicle self accident, the motor vehicle between accident, motor vehicle and the bicycle accident or natural event between accident, motor vehicle and the pedestrian,
Site traffic information is meant traffic current situation, vehicle queue length, site traffic facility etc., the traffic current situation comprises normally, walks or drive slowly or be crowded, vehicle queue length comprises below 5, more than 5～10 or 10, whether the site traffic facility comprises influences the traffic of crossing, upstream and whether the road construction situation is arranged
The rescue demand information is meant the required rescue unit that relates to of traffic accident incident, and emergency medical unit, traffic administration unit, fire units, dangerous material handle unit, road remove obstacles department, facility repairing department etc.,
Road information comprises whether crossing, on-the-spot upstream has signal lamp, and whether on-the-spot car lane has isolation facility, and whether on-the-spot motor vehicle and bicycle have isolation facility, and whether the scene has public bus network.
The preliminary generation of described traffic accident incident expert database is to obtain according to an expert view, and expert opinion is stored in expert database, as preliminary decision-making data; In application process, at dissimilar incidents,, the decision-making data weighting of database is revised by traffic disposal, incident rescue professional's feedback information, form objective, that be suitable for, effective traffic accident incident expert database, specific as follows:
1.) initialization as the decision-making data, is set up traffic accident incident expert database with traffic accident incident relevant information, according to an expert view by the level fuzzy decision model, determines decision-making data weighting coefficient,
2.) traffic disposal, incident rescue professional rescue process according to the traffic disposal and the incident of actual traffic unscheduled event, indexes such as the grade of evaluation incident, the incident extent of injury, traffic handle demand, incident rescue demand, feedback information is imported traffic accident incident expert database
3.) traffic accident incident expert database is according to the actual traffic unscheduled event, calculates the index results such as grade, the incident extent of injury, traffic handle demand, incident rescue demand of acquisition incident by the level fuzzy decision model,
4.) traffic accident incident expert database is with step 2) and index results' such as the grade of the incident of twice acquisition of step 3), the incident extent of injury, traffic handle demand, incident rescue demand deviation value as negative-feedback signal, adjust the weight coefficient of incident relevant information in incident evaluation process in the traffic accident incident expert database automatically.
Beneficial effect:
1. the traffic accident incident of learning at different detection modes according to the characteristics and the confidence level thereof of detection method, adopts different incidents to confirm mode respectively.Confirm to help the reasonable arrangement of formality and collection event content order improving the detection of traffic accident incident and to confirm effect by the simplification incident, save incident rescue time.
2. in traffic accident event information gatherer process, proposition is gathered related contents such as event time location information, event information, site traffic information, Traffic Informations, can avoid owing to event information collection personnel mostly are reasons such as layman, event information collection be urgent greatly, cause the phenomenon of information acquisition omission or content distortion, for event handling provides effective incident, transport information resource;
3. set up traffic accident incident expert database, by expert database and level fuzzy decision model, indexes such as the evaluation of each generation traffic accident event class, the incident extent of injury, traffic handle demand, incident rescue demand are evaluated, and with the foundation of result as traffic disposal and incident rescue work.After event handling finishes, the actual influence that causes according to incident by the professional, indexes such as event class evaluation, the incident extent of injury, traffic handle demand, incident rescue demand are evaluated again, proofread and correct by negative feedback, improve expert database, guarantee the applicability and the objectivity of expert database.
Description of drawings
Fig. 1 detects the confirmation method basic flow sheet for the urban transportation unscheduled event.
Fig. 2 is the level fuzzy decision model synoptic diagram of setting up based on the traffic accident event information.
Fig. 3 is a traffic accident incident expert database feedback modifiers synoptic diagram.
Fig. 4 is for realizing traffic accident love scene synoptic diagram.
Embodiment
In conjunction with the accompanying drawings 1, the present invention will be further described:
(1) in the non-automatic detection technique, it is bigger that call is subjected to the human factor influence, and fleet's report is restricted by space-time, video, patrol police's cost height.Therefore, city traffic network needs based on the incident Automatic Measurement Technique.Non-automatic detection technique is replenished as the useful of event detection technology.Perfect " 110,122 " alarm and command system function improves the utilization rate of citizen's call; In the urban population compact district, network of communication lines compact district and traffic accident incident easily send out the location, strengthens the video monitoring construction, increases the coverage rate of video monitoring; Utilize public transport resources, emphasis props up road network at the city, implements fleet's report; Hand over the patrol police to detect the automatic blind spot region that detects of main distribution and the key area of urban transportation.
(2) after passing through traffic accident incident comprehensive detection technology, finding doubtful traffic accident incident, need adopt corresponding disposal route at the difference of learning doubtful event methods:
1) the doubtful traffic accident incident of finding for Automatic Measurement Technique, need the situation of change according to the upstream and downstream magnitude of traffic flow, the traffic of the prediction site of the accident reports traffic integration information platform, carry out the traffic accident incident again and confirm, gather traffic accident incident relevant information;
2) for the doubtful traffic accident incident of finding by citizen's call, because of phenomenon such as may have wrong report, lie about, at first need according to the telephone audio acquired signal, confirm whether have some casualties, dangerous material leakage, breaking out of fire.In case learn the above-mentioned situation that exists, then need report traffic integration information platform, the circular rescue unit is carried out rescue work, carries out the traffic accident incident again and confirms, gathers traffic accident incident relevant information;
3) for the doubtful traffic accident incident that video monitoring, fleet report, the friendship patrol police detects discovery, with a high credibility owing to the doubtful traffic accident incident of finding for the specific people, need not the traffic accident incident is confirmed, directly gather the traffic accident event information.
(3) the traffic accident incident is confirmed to determine the traffic accident incident by the love scene image information of City Traffic Monitor System collection by the video mode recognition technology, if can't judge by video, then needs artificial scene to confirm.
(4) the traffic accident event information of Cai Jiing should comprise the event information that rescue has considerable influence for traffic disposal and incident.But owing to be pressed for time, incident collection personnel are often for the layman, so the information that causes the traffic accident incident to gather lacks or distortion easily.Through inventor's discovery that studies for a long period of time, the traffic accident event information is gathered content and is sorted out and quantizes, helps event information collection personnel operation, and the carrying out of follow-up traffic disposal and incident rescue work.The event information of required collection mainly comprises following several respects: event time information, location of incident information, incident loss of information, event type information, site traffic information, rescue demand information, road information, as shown in table 1:
Table 1 traffic accident incident effective information extracts content
(5),, generate indexes such as event class evaluation, the incident extent of injury, traffic handle demand, incident rescue demand by traffic accident incident expert database and level fuzzy decision model according to the traffic accident event information of gathering; And the evaluation index that generates passed to traffic integration information platform, be convenient to traffic disposal and incident rescue unit and carry out the successor work of treatment.
(6) after the rescue of traffic disposal and incident, rescue the professional according to actual conditions, incident is carried out ranking again, as negative-feedback information, adjust the weight coefficient of required event information of expert database and event information with this by traffic disposal and incident.Perfect by expert database is constantly revised, formation meets local characteristics, satisfies the grading standard of the traffic accident incident of traffic disposal, incident rescue professional demand.
Example: suppose to learn highway section, two-way 4 track, have the west east to, motor vehicle track, outside generator motor-car knocks into the back the time, there is no to cause casualties, as shown in Figure 4.
According to traffic accident event detection confirmation method flow process:
The first step:, carry out the traffic accident event handling according to the signal source of traffic accident incident discovery signal:
(1) sends by video monitoring, fleet's report, friendship patrol police detection when signal source, changed for second step over to;
(2) sent by automatic detection mode when signal source, the accident of reading is sent out upstream, highway section magnitude of traffic flow V
Up, downstream magnitude of traffic flow V
Down, number of track-lines n and average vehicle commander l, determine traffic accident events affecting length by reading of data:
Be uploaded to traffic integration information platform, changed for second step over to;
(3) sent by the call mode when signal source, according to the voice data of call, retrieval casualties, dangerous material leak, fire information, are uploaded to traffic integration information platform, change for second step over to.
In second step, love scene image information or artificial on-the-spot affirmation mode by traffic surveillance and control system is gathered determine whether to take place the traffic accident incident.
The 3rd step, the traffic accident incident relevant information that retrieval urban traffic signal supervisory system and " 122 " alarm and command system are shared, and depositing traffic accident incident expert database in, traffic accident incident related information content comprises event time information, location of incident information, incident loss of information, event type information, site traffic information, rescue demand information, road information.
The 4th step, according to the decision-making data of event information collection result and traffic accident incident expert database, by the level fuzzy decision model, indexes such as the grade of calculating incident, the incident extent of injury, traffic handle demand, incident rescue demand.
The 5th step, with indexes such as the grade of the incident that obtains, the incident extent of injury, traffic handle demand, incident rescue demands, and the dependent event information of gathering is sent to traffic integration information platform, the foundation of carrying out the traffic rescue work as relevant traffic disposal, incident rescue department.
The 6th step, rescue the actual conditions of professional by traffic disposal, incident according to Information Monitoring and the traffic disposal and the incident rescue of traffic accident incident, event class is evaluated again, with this as feedback information, traffic accident incident expert database is carried out the negative feedback correction, adjust the weight coefficient of the required event information of expert database.
Claims (2)
1. a urban transportation unscheduled event detects confirmation method automatically, it is characterized in that traffic accident event detection confirmation method detects, confirms the traffic accident incident automatically by computer control, gather traffic data, generate traffic accident incident opinion rating, avoid artificial factor, its concrete grammar is:
1.) find the traffic accident incident by traffic accident incident overall checkout equipment, send the traffic accident incident and find signal, find the signal source of signal according to the traffic accident incident, carry out the traffic accident event handling:, change step 3) over to when signal source is detected and sent by video monitoring, fleet's report, friendship patrol police; When signal source is sent by automatic detection mode, the accident of reading is sent out upstream, highway section magnitude of traffic flow V
Up, downstream magnitude of traffic flow V
Down, number of track-lines n and average vehicle commander l, determine traffic accident events affecting length by reading of data:
Be uploaded to traffic integration information platform; When signal source is sent by the call mode, according to the voice data of call, retrieval casualties, dangerous material leak, fire information, are uploaded to traffic integration information platform,
2.) read the love scene image information that City Traffic Monitor System is gathered, judge by the video mode recognition technology whether the traffic accident incident takes place, if can't obtain traffic accident incident generation scene image information, must be by the artificial on-the-spot traffic accident incident of confirming, give confirmation signal
3.) traffic accident incident expert data library searching, storage urban traffic signal supervisory system and the shared traffic accident incident relevant information of " 122 " alarm and command system, traffic accident incident related information content comprises event time information, location of incident information, incident loss of information, event type information, site traffic information, rescue demand information, road information
4.) traffic accident incident expert database by the level fuzzy decision model, generates traffic accident event class, the incident extent of injury, traffic handle demand, incident rescue demand index according to traffic accident incident relevant information,
5.) traffic accident incident expert database is passed to traffic integration information platform with index information such as the grade evaluation of incident, the incident extent of injury, traffic handle demand, incident rescue demand and event detection signal and handles by sharing transmission interface; In the traffic accident event information of described collection:
Event time information is meant the time of origin of traffic accident incident and the report time of traffic accident incident,
Location of incident information is meant the title of site road and influence the flow direction of motor vehicle, determines the specified place of traffic accident incident generation: in the road, outside roadside or the road, and love scene takies number of track-lines: 1, more than 2 or 3,
The incident loss of information is meant the casualties situation and when the thing vehicle number, the casualties situation comprises death, severe injury, slight wound number; When the thing vehicle number comprises compact car, in-between car, heavy goods vehicles, bus, dangerous haulage vehicle number;
Event type information is meant between motor vehicle self accident, the motor vehicle between accident, motor vehicle and the bicycle accident or natural event between accident, motor vehicle and the pedestrian,
Site traffic information is meant traffic current situation, vehicle queue length, site traffic facility etc., the traffic current situation comprises normally, walks or drive slowly or be crowded, vehicle queue length comprises below 5 and 5, more than 6～10 or 11 and 11, whether the site traffic facility comprises influences the traffic of crossing, upstream and whether the road construction situation is arranged
The rescue demand information is meant the required rescue unit that relates to of traffic accident incident, and emergency medical unit, traffic administration unit, fire units, dangerous material handle unit, road remove obstacles department, facility repairing department etc.,
Road information comprises whether crossing, on-the-spot upstream has signal lamp, and whether on-the-spot car lane has isolation facility, and whether on-the-spot motor vehicle and bicycle have isolation facility, and whether the scene has public bus network.
2. a kind of urban transportation unscheduled event according to claim 1 detects confirmation method automatically, the preliminary generation that it is characterized in that described traffic accident incident expert database is to obtain according to an expert view, and expert opinion is stored in expert database, as preliminary decision-making data; In application process, at dissimilar incidents,, the decision-making data weighting of database is revised by traffic disposal, incident rescue professional's feedback information, form traffic accident incident expert database, specific as follows:
1.) initialization as the decision-making data, is set up traffic accident incident expert database with traffic accident incident relevant information, according to an expert view by the level fuzzy decision model, determines decision-making data weighting coefficient,
2.) traffic disposal, incident rescue professional rescue process according to the traffic disposal and the incident of actual traffic unscheduled event, indexes such as the grade of evaluation incident, the incident extent of injury, traffic handle demand, incident rescue demand, feedback information is imported traffic accident incident expert database
3.) traffic accident incident expert database is according to the actual traffic unscheduled event, calculates the index results such as grade, the incident extent of injury, traffic handle demand, incident rescue demand of acquisition incident by the level fuzzy decision model,
4.) traffic accident incident expert database is with step 2) and index results' such as the grade of the incident of twice acquisition of step 3), the incident extent of injury, traffic handle demand, incident rescue demand deviation value as negative-feedback signal, adjust the weight coefficient of incident relevant information in incident evaluation process in the traffic accident incident expert database automatically.
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