CN101540101A - Method and system for detecting road traffic incidents - Google Patents
Method and system for detecting road traffic incidents Download PDFInfo
- Publication number
- CN101540101A CN101540101A CN200810034718A CN200810034718A CN101540101A CN 101540101 A CN101540101 A CN 101540101A CN 200810034718 A CN200810034718 A CN 200810034718A CN 200810034718 A CN200810034718 A CN 200810034718A CN 101540101 A CN101540101 A CN 101540101A
- Authority
- CN
- China
- Prior art keywords
- traffic
- parameter
- occupation rate
- road
- speed
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Traffic Control Systems (AREA)
Abstract
The invention discloses a method and a system for detecting road traffic incidents. The method and the system select traffic occupancy parameters as main parameters of traffic incident detection, and judge whether the traffic incidents exist or not by utilizing the posture that the traffic occupancy parameters basically form a linear growth with the improvement of the traffic crowding degree and using speed parameters as an auxiliary so as to improve the accuracy of the traffic incident detection and the scientificity of decision. The method comprises the following steps of: (1) through the sampling analysis of traffic parameters of a road section, setting a traffic occupancy differential threshold value and a speed threshold value of the road section; and (2) acquiring the traffic parameters of the road section in real time, and judging whether the traffic incidents happen or not by comparing the change of the traffic occupancy with the time with the traffic occupancy differential threshold value and the speed parameters with the speed threshold value.
Description
Technical field
The present invention relates to a kind of traffic administration method and system, particularly a kind of road traffic accident detection method and system.
Background technology
Along with the fast development of urban economy and the rapid increase of automobile pollution, the urban highway traffic demand increases substantially, cause road traffic block up and traffic events generally take place, for this reason, the traffic data that collects based on video or traffic detecting device how, statistical study obtain traffic event information has accurately become the problem that vast traffic participant or supvr generally are concerned about.Because accurately traffic event information by modes such as Traffic Announcement or traffic guidance screen real-time offer traveler after, can induce it to select rational trip mode, trip approach etc., provide support for the communications policy analysis simultaneously, so just can improve the scientific and technological level and the operational efficiency of traffic administration, for traveler provides efficient, safe, comfortable transportation service, improve the utilization ratio of traffic resource, cut down the consumption of energy, thereby promote the faster development more quietly of urban economy.
The method of artificial judgment is adopted in the judgement of traffic events more in the present urban road, comprising: citizen's report, full-time staff's report, civil radio, closed-circuit television supervision, aviation supervision etc., this is the main method that intercity cutout road section traffic volume incident is judged.See that on the whole the major advantage of this non-automatic determination methods is convenient, direct; Shortcoming is that the requirement there and then has the eyewitness, and needs to observe continuously, needs the professional that affirmation is screened in report, and personnel's workload and intensity are all bigger, especially for accident, can't satisfy the high request of timely warning.
Method relatively more commonly used in addition is to utilize Flame Image Process to judge whether the vehicle that has jogging or stop, thereby traffic congestion or traffic events are detected, but need to be provided with more thick and fast video detector, need higher fund input could guarantee the reliability of differentiating, and meteorological condition is also bigger to its influence; Mainly contain California algorithm and catastrophe theory (McMaster) algorithm for what the traffic flow parameter that utilizes the traffic detecting device to obtain was judged traffic events indirectly, but these algorithms are more suitable for traffic flow continuously such as city expressway or highway, be not suitable for urban ground between the cutout, because a highway section only is provided with one group of detecting device, two detecting devices are owing to be subjected to the influence of intersection signal lamp, the traffic parameter different cycles changes very greatly, and careless application process without thinking will cause the judged result distortion.
In addition, measurement period, city road situation, detecting device are layouted etc. and also event detection to be existed influence.The result that the affects traffic events of traffic parameter collection period is judged, measurement period is too short then to be subjected to signal controlling green light or red light phase effect big, low phenomenon when high in the time of especially can occurring during the peak; Measurement period is oversize then can not to obtain real-time traffic event information, thereby information delay was lost efficacy.
Each bar road section traffic volume situation of urban road has nothing in common with each other, and the detecting device in each the bar highway section position of layouting also there are differences, and the traffic events that is undertaken by above method is judged and lacked accuracy.
Summary of the invention
The object of the present invention is to provide a kind of road traffic accident detection method, to improve the accuracy that traffic events detects.
Another object of the present invention is to provide a kind of road traffic accident detection system, to improve the accuracy that traffic events detects.
For this reason, the invention provides a kind of road traffic accident detection method, utilize traffic parameter to judge whether a highway section has traffic events to take place, wherein this traffic parameter comprises traffic occupation rate parameter and speed parameter, may further comprise the steps: (1) sets a traffic occupation rate difference limen value and a speed threshold values in this highway section by the sampling analysis to this road section traffic volume parameter; (2) gather the traffic parameter in this highway section in real time, by traffic occupation rate parameter relatively over time with traffic occupation rate difference limen value and speed parameter and speed threshold values, judged whether the traffic events generation.
Further, above-mentioned steps (1) comprising: (11) choose a statistical time; (12) the traffic parameter sample value in this highway section in the statistics collection time; (13) the traffic parameter sample value collected of pre-service; (14) the pretreated traffic parameter sample value of statistical study is set the above-mentioned traffic occupation rate difference limen value and the speed threshold values in this highway section in conjunction with artificial judgment.
Further, above-mentioned steps (13) comprising: replenish or replace obliterated data and misdata in the sample value with exponential forecasting data; The gained sample value is carried out an exponential smoothing filtering.
Further, above-mentioned timing statistics was more than or equal to 7 days.
Further, above-mentioned timing statistics is 7 to 10 days.
Further, above-mentioned steps (2) comprising: (21) choose an event detection cycle; (22) in each end of term in event detection week, gather traffic parameter in real time; (23) traffic parameter that collects of pre-service obtains through pretreated traffic occupation rate parameter and speed parameter; (24) relatively through pretreated traffic occupation rate parameter over time with traffic occupation rate difference limen value and speed parameter and speed threshold values, judged whether the traffic events generation.
Further, in step (24), 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 the speed threshold values; 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 steps (23) comprising: replenish or replace obliterated data and misdata in the traffic parameter with exponential forecasting data; The gained traffic parameter is carried out an exponential smoothing filtering.
Further, the above-mentioned event detection cycle is 2 to 10 minutes.
Further, the above-mentioned event detection cycle is 5 minutes.
Further, described road traffic accident detection method, further comprising the steps of: as when judgement has traffic events to take place, to produce an alerting signal; The real-time release traffic event information.
The present invention provides a kind of road traffic accident detection system in addition, utilize traffic parameter to judge whether a plurality of highway sections have traffic events to take place, wherein this traffic parameter comprises traffic occupation rate parameter and speed parameter, this system comprises: the traffic parameter acquisition module, in each end of term in event detection week in above-mentioned each highway section, gather the traffic parameter in each highway section in real time; The history parameters database, the traffic parameter that reception traffic parameter acquisition module is gathered also stores this traffic parameter; The threshold values database stores the traffic occupation rate difference limen value and the speed threshold values in above-mentioned a plurality of highway sections; The traffic events detection module, obtain the data in history parameters database and the threshold values database, the traffic occupation rate parameter in more above-mentioned each highway section over time with corresponding road section traffic occupation rate difference limen value and speed parameter and speed threshold values, judge whether each highway section has traffic events to take place.
Further, described road traffic accident detection system also comprises: the traffic parameter that traffic parameter pretreatment module, pre-service collect.
Further, above-mentioned traffic parameter pretreatment module also comprises: complete and correction module, replenish or replace obliterated data and misdata in the traffic parameter with exponential forecasting data; The noise reduction filtering module is carried out an exponential smoothing filtering to the gained traffic parameter.
Further, in the traffic events detection module, when comparative result is following situation, judge that this highway section has traffic events to take 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 the speed threshold values; 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, described road traffic accident detection system also comprises: alarm module when judgement has traffic events to take place, produces an alerting signal.
Further, described road traffic accident detection system also comprises: information issuing module, real-time release traffic event information.
In sum, disclosed road traffic accident detection method of the present invention and system choose the major parameter that traffic occupation rate parameter detects as traffic events, utilize traffic occupation rate parameter to be the situation of linear growth substantially along with the raising of congested in traffic degree, and with speed parameter as auxiliary, judged whether that traffic events takes place, thereby improved the accuracy of traffic events detection and the science of decision-making.
Description of drawings
Fig. 1 is the schematic flow sheet of the road traffic accident detection method that one embodiment of the invention provided;
Fig. 2 is the setting process synoptic diagram of traffic occupation rate difference limen value and speed threshold values in one embodiment of the invention;
Fig. 3 carries out the schematic flow sheet that traffic events detects for gathering in one embodiment of the invention with utilizing traffic parameter;
Fig. 4 is the determination methods synoptic diagram that traffic events detects in one embodiment of the invention;
Fig. 5 is the block scheme of the traffic events detection system of one embodiment of the invention.
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 schematic flow sheet of the road traffic accident detection method that one embodiment of the invention provided.The traffic parameter that this method utilization includes traffic occupation rate parameter and speed parameter judges whether the highway section that need carry out event detection has traffic events to take place.As shown in the figure, this method comprises the steps:
Step S10:, set a traffic occupation rate difference limen value and a speed threshold values in this highway section by sampling analysis to road section traffic volume parameter to be measured;
Step S20: the traffic parameter of gathering above-mentioned highway section in real time;
Step S21: by traffic occupation rate parameter relatively over time with traffic occupation rate difference limen value and speed parameter and speed threshold values, judged whether the traffic events generation.
For making step S10, i.e. the assignment procedure of traffic occupation rate difference limen value and speed threshold values is more clear, is described in detail below with reference to Fig. 2.
At first primary-stage survey is carried out in highway section to be measured, signal timing dial situation of intersection etc. when for example investigating condition of road surface, traffic flow situation and the peak in this highway section and non-peak.Analysis obtains investigating the result, thereby chooses a statistical time (step S101) according to investigating the result; The traffic parameter sample value (step S103) in this highway section to be measured in the statistics collection time then; The traffic parameter sample value (step S105) that pre-service is collected; In conjunction with artificial judgment, set the traffic occupation rate difference limen value and the speed threshold values (step S107) in this highway section by the pretreated traffic parameter sample value of statistical study.Wherein, in one embodiment, above timing statistics is more than or equal to 7 days, for example 7 to 10 days.
In one embodiment, among the step S105, the traffic parameter sample value that pre-service is collected comprises with exponential forecasting data replenishes or replaces obliterated data and misdata in the sample value, thus make the traffic parameter sample data more complete with accurately; The gained sample value is carried out an exponential smoothing filtering, thereby reduce the stochastic error of traffic parameter sample data.
Below elaborate at step S20 and S21, please refer to Fig. 3, it carries out the schematic flow sheet that traffic events detects for gathering in one embodiment of the invention with utilizing traffic parameter.Utilize the above result that primary-stage survey is carried out in highway section to be measured, choose an event detection cycle (step S201); And, gather traffic parameter (step S203) in real time in each end of term in event detection week; The traffic parameter that pre-service collects obtains through pretreated traffic occupation rate parameter and speed parameter (step S205); By relatively through pretreated traffic occupation rate parameter over time with traffic occupation rate difference limen value and speed parameter and speed threshold values, judged whether traffic events generation (step S207).Wherein relatively according to for when a certain amount of value of twice increase of traffic occupation rate continuous parameters, and speed diminishes, and traffic hazard just may take place; Perhaps work as traffic occupation rate continuous parameters and all reduce a certain amount of value twice, also traffic hazard may take place; Traffic hazard does not take place otherwise be judged as.Its concrete judgement flow process please refer to Fig. 4.As scheming, be located at the last collected traffic occupation rate parameter of current period the speed that is OC3 and current period is V, and two collected traffic occupation rate parameters of all end of term are OC1 before, and the collected traffic occupation rate parameter in one-period end is OC2 before.After its pre-service, obtain through the traffic occupation rate S3 of pretreated current period and the traffic occupation rate S1 and the S2 in preceding two cycles, respectively corresponding OC3, OC1 and OC2 through step S205.Being located at the traffic occupation rate difference limen value that obtains among the step S10 simultaneously is OA, and the speed threshold values is VY.In step S207, when comparative result is following situation, being judged as traffic events 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 the speed threshold values, 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.Be that condition S3-S1＞OA and S3-S2＞OA and V＜VY and condition S1-S3＞OA and S2-S3＞OA are arbitrary for true time, be judged as traffic events and taken place; Otherwise for no traffic events takes place.Can set an alerting signal at this, establish it and be T; When being judged as the traffic events generation, this alerting signal T is 1; Otherwise be 0, report to the police thereby further drive alarm.
In one embodiment, the traffic parameter that the pre-service of step S205 collects comprises: replenish or replace obliterated data and misdata in the traffic parameter with exponential forecasting data, with guarantee the complete of traffic data with accurately; The gained traffic parameter is carried out an exponential smoothing filtering, thereby reduce the stochastic error of traffic parameter.The above-mentioned in addition event detection cycle for example is 2 to 10 minutes, usually chooses 5 minutes.
In case detect traffic events, except producing alerting signal, to make things convenient for the staff in real time affair alarm to be confirmed and to handle, can also induce screen or broadcasting station etc. to send in real time by full-color screen, the LED literal of inducing traffic event information, the guiding driver selects suitable path.
One embodiment of the invention also provides a kind of road traffic accident detection system, utilizes traffic parameter to judge whether a plurality of highway sections have traffic events to take place, and wherein this traffic parameter comprises traffic occupation rate parameter and speed parameter.Please refer to Fig. 5, it is the block scheme of this system.As figure, this system comprises history parameters database D 1 and threshold values database D2 and traffic parameter acquisition module M1 and traffic events detection module M2.Wherein traffic parameter acquisition module M1 gathers the traffic parameter in each highway section in real time in each end of term in event detection week in above-mentioned each highway section; The traffic parameter that history parameters database D 1 reception traffic parameter acquisition module is collected also stores this traffic parameter; Threshold values database D2 stores the traffic occupation rate difference limen value and the speed threshold values in above-mentioned a plurality of highway sections, and the preparation method of these data does not repeat them here with comparatively detailed providing in above embodiment; Traffic events detection module M2 obtains history parameters database D 1 and the interior data of threshold values database D2, the traffic occupation rate parameter in more above-mentioned each highway section over time with corresponding road section traffic occupation rate difference limen value and speed parameter and speed threshold values, judge whether each highway section has traffic events to take place.Wherein in traffic events detection module M2, when comparative result is following situation, judge that this highway section has traffic events to take 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 the speed threshold values; 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.Its labor does not repeat them here to provide in above embodiment.
This road traffic accident detection system also comprises traffic parameter pretreatment module M3 in addition, and it receives the traffic parameter that traffic parameter acquisition module M1 collects, and it is carried out pre-service.And traffic parameter pretreatment module M3 also comprises complete and correction module M31 and noise reduction filtering module M32, wherein complete and correction module M31 replenish or replace obliterated data and misdata in the traffic parameter with exponential forecasting data, to guarantee that the complete of traffic data is with accurate; Noise reduction filtering module M32 carries out an exponential smoothing filtering to the gained traffic parameter, thereby reduces the stochastic error of traffic parameter.
For the judged result of this system of better utilization, can be in wherein setting up alarm module M4, and when judgement has traffic events to take place, produce an alerting signal to trigger alarm, make things convenient for the staff in real time affair alarm to be confirmed and handle.Also can set up information issuing module M5 in addition, with the real-time release traffic event information, for example traffic event information be induced real-time sending such as screen or broadcasting station by full-color screen, the LED literal of inducing, the guiding driver selects suitable path.
The data that disclosed traffic events detection method of the embodiment of the invention and system gather based on the traffic detecting device realize differentiating automatically and issue in time to road traffic accident, have saved a large amount of artificial judgment workloads; The major parameter that it selects the traffic occupation rate to detect as traffic events, make full use of the traffic occupation rate is linear growth substantially along with the raising of congested in traffic degree situation, and select for use speed parameter to judge whether that as assisting traffic events takes place, thereby be fit to more urban road between the feature that stops, improve the accuracy that traffic events detects, improved the science of decision-making; At arbitrary highway section of urban road, carry out threshold value respectively and demarcate, even detecting device is laid at the diverse location in highway section, also can demarcate and revise, thereby weaken owing to the engineering reason is being laid the error that detecting device brings without the position according to sample data.
, 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 (17)
1. road traffic accident detection method, utilize traffic parameter to judge whether a highway section has traffic events to take place, and wherein this traffic parameter comprises traffic occupation rate parameter and speed parameter, it is characterized in that, comprising:
(1), sets a traffic occupation rate difference limen value and a speed threshold values in this highway section by sampling analysis to this road section traffic volume parameter;
(2) gather the traffic parameter in this highway section in real time, by traffic occupation rate parameter relatively over time with traffic occupation rate difference limen value and speed parameter and speed threshold values, judged whether the traffic events generation.
2. road traffic accident detection method according to claim 1 is characterized in that, wherein above-mentioned steps (1) comprising:
(11) choose a statistical time;
(12) the traffic parameter sample value in this highway section in the statistics collection time;
(13) the traffic parameter sample value collected of pre-service;
(14) by the pretreated traffic parameter sample value of statistical study in conjunction with artificial judgment, set the above-mentioned traffic occupation rate difference limen value and the speed threshold values in this highway section.
3. road traffic accident detection method according to claim 2 is characterized in that, wherein above-mentioned steps (13) comprising:
Replenish or replace obliterated data and misdata in the sample value with exponential forecasting data;
The gained sample value is carried out an exponential smoothing filtering.
4. road traffic accident detection method according to claim 2 is characterized in that, wherein above-mentioned timing statistics was more than or equal to 7 days.
5. road traffic accident detection method according to claim 4 is characterized in that, wherein above-mentioned timing statistics is 7 to 10 days.
6. road traffic accident detection method according to claim 1 is characterized in that, wherein above-mentioned steps (2) comprising:
(21) choose an event detection cycle;
(22) in each end of term in event detection week, gather traffic parameter in real time;
(23) traffic parameter that collects of pre-service obtains through pretreated traffic occupation rate parameter and speed parameter;
(24) relatively through pretreated traffic occupation rate parameter over time with traffic occupation rate difference limen value and speed parameter and speed threshold values, judged whether the traffic events generation.
7. road traffic accident detection method according to claim 6 is characterized in that, in step (24), 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 the speed threshold values; 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.
8. road traffic accident detection method according to claim 6 is characterized in that, wherein above-mentioned steps (23) comprising:
Replenish or replace obliterated data and misdata in the traffic parameter with exponential forecasting data;
The gained traffic parameter is carried out an exponential smoothing filtering.
9. road traffic accident detection method according to claim 6 is characterized in that, the wherein above-mentioned event detection cycle is 2 to 10 minutes.
10. road traffic accident detection method according to claim 9 is characterized in that, the wherein above-mentioned event detection cycle is 5 minutes.
11. road traffic accident detection method according to claim 1 is characterized in that, and is further comprising the steps of:
When judgement has traffic events to take place, produce an alerting signal;
The real-time release traffic event information.
12. a road traffic accident detection system utilizes traffic parameter to judge whether a plurality of highway sections have traffic events to take place, and wherein this traffic parameter comprises traffic occupation rate parameter and speed parameter, it is characterized in that, comprising:
The traffic parameter acquisition module in each end of term in event detection week in above-mentioned each highway section, is gathered the traffic parameter in each highway section in real time;
The history parameters database, the traffic parameter that reception traffic parameter acquisition module is gathered also stores this traffic parameter;
The threshold values database stores the traffic occupation rate difference limen value and the speed threshold values in above-mentioned a plurality of highway sections;
The traffic events detection module, obtain the data in history parameters database and the threshold values database, the traffic occupation rate parameter in more above-mentioned each highway section over time with corresponding road section traffic occupation rate difference limen value and speed parameter and speed threshold values, judge whether each highway section has traffic events to take place.
13. road traffic accident detection system according to claim 12 is characterized in that, also comprises:
The traffic parameter that traffic parameter pretreatment module, pre-service collect.
14. road traffic accident detection system according to claim 13 is characterized in that, wherein above-mentioned traffic parameter pretreatment module also comprises:
Obliterated data and misdata in the traffic parameter are replenished or replaced to complete and correction module with exponential forecasting data;
The noise reduction filtering module is carried out an exponential smoothing filtering to the gained traffic parameter.
15. road traffic accident detection system according to claim 12 is characterized in that, in the traffic events detection module, when comparative result is following situation, judges that this highway section has traffic events to take 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 the speed threshold values; 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.
16. road traffic accident detection system according to claim 12 is characterized in that, also comprises:
Alarm module when judgement has traffic events to take place, produces an alerting signal.
17. road traffic accident detection system according to claim 12 is characterized in that, also comprises:
Information issuing module, the real-time release traffic event information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200810034718A CN101540101A (en) | 2008-03-17 | 2008-03-17 | Method and system for detecting road traffic incidents |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200810034718A CN101540101A (en) | 2008-03-17 | 2008-03-17 | Method and system for detecting road traffic incidents |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101540101A true CN101540101A (en) | 2009-09-23 |
Family
ID=41123271
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN200810034718A Pending CN101540101A (en) | 2008-03-17 | 2008-03-17 | Method and system for detecting road traffic incidents |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101540101A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102436741A (en) * | 2011-10-12 | 2012-05-02 | 北京世纪高通科技有限公司 | Method, device and system for judging traffic events cancellation |
| CN102592451A (en) * | 2012-02-23 | 2012-07-18 | 浙江大学 | Method for detecting road traffic incident based on double-section annular coil detector |
| CN102622883A (en) * | 2012-03-21 | 2012-08-01 | 北京世纪高通科技有限公司 | Method and device for judging release of traffic incident |
| CN103198711A (en) * | 2013-03-21 | 2013-07-10 | 东南大学 | Vehicle regulating and controlling method of lowering probability of traffic accidents of different severity |
| CN107293119A (en) * | 2017-07-24 | 2017-10-24 | 重庆大学 | A kind of traffic incidents detection California algorithm model improved methods |
| CN108777068A (en) * | 2018-06-13 | 2018-11-09 | 西华大学 | A kind of traffic flow bottleneck identification method based on multi-dimensions test coil collection period |
| CN109035775A (en) * | 2018-08-22 | 2018-12-18 | 青岛海信网络科技股份有限公司 | A kind of method and device of emergency event identification |
| CN111613049A (en) * | 2019-02-26 | 2020-09-01 | 北京嘀嘀无限科技发展有限公司 | Road state monitoring method and device |
-
2008
- 2008-03-17 CN CN200810034718A patent/CN101540101A/en active Pending
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102436741A (en) * | 2011-10-12 | 2012-05-02 | 北京世纪高通科技有限公司 | Method, device and system for judging traffic events cancellation |
| CN102592451A (en) * | 2012-02-23 | 2012-07-18 | 浙江大学 | Method for detecting road traffic incident based on double-section annular coil detector |
| CN102592451B (en) * | 2012-02-23 | 2014-04-16 | 浙江大学 | Method for detecting road traffic incident based on double-section annular coil detector |
| CN102622883A (en) * | 2012-03-21 | 2012-08-01 | 北京世纪高通科技有限公司 | Method and device for judging release of traffic incident |
| CN103198711A (en) * | 2013-03-21 | 2013-07-10 | 东南大学 | Vehicle regulating and controlling method of lowering probability of traffic accidents of different severity |
| CN103198711B (en) * | 2013-03-21 | 2014-12-17 | 东南大学 | Vehicle regulating and controlling method of lowering probability of traffic accidents of different severity |
| CN107293119A (en) * | 2017-07-24 | 2017-10-24 | 重庆大学 | A kind of traffic incidents detection California algorithm model improved methods |
| CN108777068A (en) * | 2018-06-13 | 2018-11-09 | 西华大学 | A kind of traffic flow bottleneck identification method based on multi-dimensions test coil collection period |
| CN109035775A (en) * | 2018-08-22 | 2018-12-18 | 青岛海信网络科技股份有限公司 | A kind of method and device of emergency event identification |
| CN111613049A (en) * | 2019-02-26 | 2020-09-01 | 北京嘀嘀无限科技发展有限公司 | Road state monitoring method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101540103B (en) | Method and system for traffic information acquisition and event processing | |
| CN101540101A (en) | Method and system for detecting road traffic incidents | |
| CN110111592B (en) | Method for dynamically matching optimal signal timing scheme based on traffic signal controller | |
| CN102968901B (en) | Method for acquiring regional congestion information and regional congestion analyzing device | |
| CN101540099A (en) | Method and system for judging road traffic states | |
| CN108629973A (en) | Road section traffic volume congestion index computational methods based on fixed test equipment | |
| CN113947905B (en) | Traffic operation situation sensing method, module and system | |
| CN105096615B (en) | Signalling-unit-based adaptive optimization control system | |
| CN109147330A (en) | A kind of congestion recognition methods and device | |
| CN101419750B (en) | Detecting and evaluating method for controlling traffic state at road cross based on data feature | |
| CN102122437A (en) | Road traffic management decision support device | |
| CN101236642A (en) | Classified passenger flow monitoring system and its method based on ticketing data | |
| CN105405300A (en) | Intelligent road condition system and method | |
| CN108573607A (en) | A kind of traffic light control system and method | |
| CN103413435A (en) | Road network running condition analysis method based on fuel consumption acquisition | |
| CN105205878A (en) | Inspection method and system of water drainage pipe net | |
| CN113112789B (en) | Influence prediction and control method for urban expressway emergency | |
| CN102682616B (en) | Wireless Data Broadcasting System traffic information distribution method and equipment | |
| CN112927544A (en) | Intelligent parking lot traffic management system based on Internet of things and implementation method thereof | |
| CN201262784Y (en) | Detection and evaluation system for urban signal control road junction traffic status based on data characteristics | |
| CN104809870A (en) | Viaduct entrance ramp traffic congestion grade estimation method | |
| CN106504566B (en) | A kind of traffic website identifying system and method | |
| CN114360264A (en) | Intelligent city traffic management method based on traffic flow regulation | |
| CN109740823A (en) | A kind of taxi calculated towards real-time scene is called a taxi decision-making technique and system | |
| CN116863723B (en) | Use method of digital twin base |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20090923 |