CN202394387U - Traffic condition prediction system fused with plurality of types of traffic data - Google Patents
Traffic condition prediction system fused with plurality of types of traffic data Download PDFInfo
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Abstract
The utility model relates to a traffic condition prediction system fused with a plurality of types of traffic data, comprising a flow level detector, a speed level detector, a flow passing-through energy rate level detector, a flow occupation rate level detector, a speed occupation level detector, a saturation coefficient level detector, a history road condition level detector and a road condition predictor, wherein above various level detectors obtain level values of all parameters through measuring and calculating, then all the level values are respectively multiplied by the percentages of corresponding level values preset in the road condition predictor, and the products are added together to obtain a road condition level value, and the road condition in a future predetermined time can be obtained according to the road condition corresponding to the predetermined road condition level value. The traffic condition prediction system fused with a plurality of types of traffic data can resolve the technical problem of only employing a single road condition characteristic parameter in combination with the history road conditions to predict the future road condition in the prior art, and is fused with a plurality of types of information of current road conditions.
Description
Technical field
The utility model relates to a kind of prognoses system and method for traffic, specifically a kind ofly adopts multi-source heterogeneous traffic data to merge the system and method that comes predict traffic conditions.
Background technology
The raising of Along with people's living standard, the quantity of motor vehicle is more and more, and road is also more and more crowded.If people can in time understand the passage situation of present road and the development of future trajectory situation, can improve the traffic capacity of road greatly, for people save time, improve the utilization factor of resource.
The mode of present judgement road conditions has varied, mainly is divided into two kinds, and promptly hardware device detects to report with manual work automatically and reports.The fast accuracy rate of manual observation report speed is also high, but for traffic route complicated in the big city, can not carry out manual observation to every route.It is to utilize the various detecting devices of installing on the road to use that hardware device detects automatically, analyzes current road conditions through its traffic data that reports.Combine the historical data characteristic again according to current traffic information, the following halfhour traffic traffic status of Budget Service.
Because it is different that various device detects the data type that reports, so the method for prediction road conditions is different.What coil apparatus reported is single current amount data, crosses parameters such as car quantity through green time and can predict road conditions; Microwave equipment can accurately detect information such as flow, speed, occupation rate, also can be used for predicting road conditions.Information such as the flow gathered under the situation preferably of sight line, speed, occupation rate is more accurate by day for video detector, also can use.In addition, the speed of a motor vehicle that has a Floating Car at GPS (GPS) terminal also can be used as the foundation of prediction road conditions.Sydney self-adaptation traffic control system (Sydney Coordinated Adaptive Traffic System; Be called for short SCATS; Or abbreviation SCATS system) is one of city signal traffic control system, researchs and develops by New South Wales,Australia road traffic office (RTA).It has realized the real-time collection and the statistical study of traffic data information, can obtain the saturation parameters in the highway section.
A kind of method and apparatus of predicting road conditions is disclosed among the Chinese patent document CN101694743A; At first obtain the real-time vehicle speed data of road chain; Concentrate from the typical historical speed of a motor vehicle modeling curve of setting up in advance then and obtain the typical historical speed of a motor vehicle modeling curve identical with the real-time vehicle speed data time period of said road chain; Typical historical speed of a motor vehicle modeling curve and real-time mode curve according to identical with the real-time vehicle speed data time period of said road chain carry out road condition predicting; Wherein, said real-time mode curve is set up according to said real time data.In this technical scheme, adopted real-time vehicle speed data and historical vehicle speed data matching mode have been predicted following road conditions.A kind of method and apparatus of road condition predicting is disclosed among the Chinese patent document CN101739820A; According to historical road condition data; According to week characteristic day, road and time window statistical computation road speed average, identify the time window that blocks up according to said road speed average and jam level standard, from the said time window that blocks up, filter out the adjacent time window that blocks up; And merge the said adjacent time window that blocks up and form the time band that blocks up, the output time of blocking up brings traffic service system at last.In this technical scheme, come predicted congestion time band in conjunction with historical road condition data and current speed of a motor vehicle average and jam level.Above-mentioned road condition predicting mode; Only adopt single current traffic information to combine historical road conditions to predict following road conditions; Because current traffic information only adopts single parameter to characterize, like time or speed, this single current road conditions parameter can not integral inverted mirror current actual road conditions; Can't concentrated expression go out current road conditions characteristic, thereby influence judgement following road conditions.
The utility model content
For this reason; The utility model technical matters to be solved is only to adopt in the prior art single road conditions characteristic parameter to combine historical road conditions that following road conditions are predicted; Because can not the current road conditions characteristic of combined reaction; Influenced order of accuarcy, thereby proposed a kind of traffic condition predictions system and method that merges the multiple information of current road conditions following road condition predicting.
For solving the problems of the technologies described above, a kind of traffic condition predictions system that merges multiple traffic data that provides of the utility model comprises:
Traffic class detecting device: comprise that flow obtains equipment and traffic class computing module; Said flow obtains equipment and obtains the vehicle flowrate data on the direction road to be predicted; And said data are sent to the traffic class computing module; Said traffic class computing module draws the traffic class number of current road according to preset minimum flow and maximum flow;
Speed step detecting device: comprise speed detection apparatus and speed step computing module; Said speed detection apparatus detects the speed of a motor vehicle on the direction road to be predicted; And said data are sent to the speed step computing module; Said speed step computing module calculates average speed according to detected speed information, and said average speed that obtains and preset minimum speed and maximal rate are compared, and draws the speed step number of current road;
The flow handling capacity is than rank detecting device: per hour be provided with traffick numbers at most in advance; Obtain equipment with said flow and carry out data transmission; Obtain the vehicle flowrate data on the direction road to be predicted; Per hour go out passing vehicle number according to the said vehicle flowrate data computation that obtains then; Calculate the ratio of said per hour passing vehicle number and said preset maximum traffick numbers, said ratio is traffic capacity coefficient, and the integer that obtains after the said traffic capacity coefficient adjustment is compared number of levels for the flow traffic capacity;
Flow occupation rate rank detecting device: according to the time occupancy of the ratio acquisition vehicle of cover time and the set time of vehicle through preset highway section; And obtain said flow handling capacity than the traffic capacity coefficient in the rank detecting device, binding time occupation rate and traffic capacity coefficient calculations outflow occupation rate number of levels then;
Speed occupation rate rank detecting device: according to the average speed that calculates in time occupancy that obtains in the said flow occupation rate rank detecting device and the speed step detecting device; Calculate the ratio of said time occupancy and said average velocity, draw the number of levels of said speed occupation rate according to said ratio;
Saturation degree coefficient rank detecting device: obtain the saturation degree coefficient of direction road to be predicted,, draw the number of levels of saturation degree coefficient according to the upper and lower bound of the saturation degree coefficient that is provided with in advance;
Historical road conditions rank detecting device: comprise that historical data base and historical road conditions obtain module, record on ordinary days in the said historical data base or the road conditions of each time period during festivals or holidays; Said historical road conditions obtain module and obtain road conditions corresponding in the historical data base according to the current time period, draw historical road conditions number of levels;
Road condition predicting device: be provided with traffic class number, speed step number, the flow traffic capacity in advance than number of levels, flow occupation rate number of levels, speed occupation rate number of levels, level of saturation number and the shared number percent of historical road conditions number of levels; Said then each number of levels multiply by its shared number percent sues for peace again; Draw the road conditions number of levels; And then, draw the road conditions in the following schedule time with reference to the corresponding road conditions of the road conditions number of levels that is provided with in advance.
The technique scheme of the utility model is compared prior art and is had the following advantages,
(1) the traffic condition predictions system and method for the multiple traffic data of the described fusion of the utility model; Comprise that traffic class detecting device, speed step detecting device, flow handling capacity are than rank detecting device, flow occupation rate rank detecting device, speed occupation rate rank detecting device, saturation degree coefficient rank detecting device, historical road conditions rank detecting device and road condition predicting device; Above-mentioned each rank detecting device obtains the number of levels of each parameter through measurements and calculations; The shared number percent of number of levels that then each number of levels multiply by in the road condition predicting device each preset parameter is sued for peace again; Obtain the road conditions number of levels; With reference to the corresponding road conditions of preset road conditions number of levels, draw the road conditions in the following schedule time.This traffic condition predictions system has merged multiple road conditions parameter, with flow, speed, the flow traffic capacity, flow occupation rate, speed occupation rate, saturation degree all as the present parameter of road conditions; Combine the multiple information of current road conditions; And having calculated multiple road conditions parameter, integral body has reflected current traffic information, combines with historical data; Improved accuracy during following road conditions in prediction, for the management of people's trip and traffic provides valuable reference information.
Description of drawings
For the content that makes the utility model is more clearly understood,, the utility model is done further detailed explanation, wherein below according to the specific embodiment of the utility model and combine accompanying drawing
Fig. 1 is the structured flowchart of the traffic condition predictions system of the multiple traffic data of the described fusion of the utility model;
Fig. 2 is historical traffic information table;
Fig. 3 is the interface synoptic diagram that merges the traffic condition predictions system of multiple traffic data.
Embodiment
Provide a concrete embodiment of the traffic condition predictions system of the multiple traffic data of the described fusion of the utility model below, said traffic condition predictions system comprises following components, sees Fig. 1:
Traffic class detecting device: comprise that flow obtains equipment and traffic class computing module; Said flow obtains equipment and obtains the vehicle flowrate data on the direction road to be predicted; And said data are sent to the traffic class computing module; Said traffic class computing module draws the traffic class number of current road according to preset minimum flow and maximum flow;
Speed step detecting device: comprise speed detection apparatus and speed step computing module; Said speed detection apparatus detects the speed of a motor vehicle on the direction road to be predicted; And said data are sent to the speed step computing module; Said speed step computing module calculates average speed according to detected speed information, and said average speed that obtains and preset minimum speed and maximal rate are compared, and draws the speed step number of current road;
The flow handling capacity is than rank detecting device: per hour be provided with traffick numbers at most in advance; Obtain equipment with said flow and carry out data transmission; Obtain the vehicle flowrate data on the direction road to be predicted; Per hour go out passing vehicle number according to the said vehicle flowrate data computation that obtains then; Calculate the ratio of said per hour passing vehicle number and said preset maximum traffick numbers, said ratio is traffic capacity coefficient, and the integer that obtains after the said traffic capacity coefficient adjustment is compared number of levels for the flow traffic capacity;
Flow occupation rate rank detecting device: according to the time occupancy of the ratio acquisition vehicle of cover time and the set time of vehicle through preset highway section; And obtain said flow handling capacity than the traffic capacity coefficient in the rank detecting device, binding time occupation rate and traffic capacity coefficient calculations outflow occupation rate number of levels then;
Speed occupation rate rank detecting device: according to the average speed that calculates in time occupancy that obtains in the said flow occupation rate rank detecting device and the speed step detecting device; Calculate the ratio of said time occupancy and said average velocity, draw the number of levels of said speed occupation rate according to said ratio;
Saturation degree coefficient rank detecting device: obtain the saturation degree coefficient of direction road to be predicted,, draw the number of levels of saturation degree coefficient according to the upper and lower bound of the saturation degree coefficient that is provided with in advance;
Historical road conditions rank detecting device: comprise that historical data base and historical road conditions obtain module, record on ordinary days in the said historical data base or the road conditions of each time period during festivals or holidays; Said historical road conditions obtain module and obtain road conditions corresponding in the historical data base according to the current time period, draw historical road conditions number of levels;
Road condition predicting device: be provided with traffic class number, speed step number, the flow traffic capacity in advance than number of levels, flow occupation rate number of levels, speed occupation rate number of levels, level of saturation number and the shared number percent of historical road conditions number of levels; Said then each number of levels multiply by its shared number percent sues for peace again; Draw the road conditions number of levels; And then, draw the road conditions in the following schedule time with reference to the corresponding road conditions of the road conditions number of levels that is provided with in advance.
The traffic movement prediction method of the multiple traffic data of fusion that said system is corresponding comprises the steps:
(1) said traffic class detecting device obtains equipment through said flow and obtains the vehicle flowrate data on the direction road to be predicted; And said data are sent to the traffic class computing module; Said traffic class computing module draws the traffic class number of current road according to preset minimum flow and maximum flow.
For example in certain highway section, according to the characteristic in this highway section, the preset minimum flow that traffic police department provides is 400; Maximum flow is 1000; Said flow obtains equipment can be coil vehicle detector, fixed time such as morning the 08:00 clock, obtain the vehicle flowrate in highway section to be predicted.If actual flow is less than 400, then road is more unimpeded at present, and the traffic class number of current road is 2; If it is crowded that actual flow between 400-1000, belongs to, said traffic class number is 6; If actual flow is greater than 1000, then the highway section is more crowded, and said traffic class number is 10.
As embodiment that can conversion, said actual vehicle flowrate data are less than said preset minimum flow, and said traffic class number can also be set to 3; If said vehicle flowrate number is between said preset minimum flow and maximum flow, said traffic class number is 5 or 7; If said vehicle flowrate number is greater than said maximum flow, then said traffic class number is 9 or 11.
(2) said speed step detecting device detects the speed of a motor vehicle on the direction road to be predicted through said speed detection apparatus; And said data are sent to the speed step computing module; Said speed step computing module calculates average speed according to detected speed information; Said average speed that obtains and preset minimum speed and maximal rate are compared, draw the speed step number of current road.
For example: in certain highway section, according to the characteristic in this highway section, the minimum speed that traffic police department provides is 5km/h, and maximal rate is 20km/h.Pass through speed detection apparatus such as radar checkout equipment in the set time, obtain the speed information on the direction road to be predicted, calculate average speed then.If average speed is less than 5km/h, genus blocks up, and said speed step number is 10; If it is crowded that average speed between 5-10km/h, belongs to, said speed step number is 6; If said average speed is greater than 20km/h, it is unimpeded that road conditions belong to, and said speed step number is 2.
As embodiment that can conversion, said average speed is less than preset minimum speed, and then said speed step number can be 9 or 11, if said average speed between said preset minimum speed and maximal rate, said speed step number is 7; If said average speed is greater than said maximal rate, then said speed step number is 3.
(3) said flow handling capacity is obtained equipment than rank detecting device and said flow and is carried out data transmission; Obtain the vehicle flowrate data on the direction road to be predicted; Per hour go out passing vehicle number according to the said vehicle flowrate data computation that obtains then; Calculate the ratio of said per hour passing vehicle number and said preset maximum traffick numbers, said ratio is traffic capacity coefficient, and the integer that obtains after the said traffic capacity coefficient adjustment is compared number of levels for the flow traffic capacity.
For example: for the traffic data of highway section to be predicted according to traffic department's issue; In conjunction with the information of vehicles in this highway section, per hour current at most 1200 cars in this highway section are set, add up the actual traffic volume in this highway section of set time then; Obtain according to the coil checkout equipment that its traffic volume is 40 cars in 5 minutes; Calculate traffic volume 60 ÷ 5 * 40=480 hourly then, 480 ÷ 1200=0.4 multiply by 10 with the result of gained and are adjusted into integer; Obtain 4, the promptly said flow traffic capacity is 4 than number of levels.
(4) said flow occupation rate rank detecting device is according to the time occupancy of the ratio acquisition vehicle of cover time and the set time of vehicle through preset highway section; And obtain said flow handling capacity than the traffic capacity coefficient in the rank detecting device, binding time occupation rate and traffic capacity coefficient calculations outflow occupation rate number of levels then.
The flow occupation rate is here calculated based on flow and occupation rate, and under flow was tending towards saturated situation, how many single current amounts reflected not science of road conditions, and at this moment we introduce occupation rate comprehensively to declare attitude more accurate.Big, the flow of occupation rate hour for example, road is to be tending towards crowded certainly.Provide a concrete example below:
Average occupancy, promptly averaging time occupation rate, be also referred to as time occupancy.Time occupancy is represented: fixing timing statistics as 1 minute in, vehicle is through the time sum of surveyed area.Surveyed area is generally a rectangle frame, and vehicle gets into rectangle frame to the time sum that goes out rectangle frame (unit for second), again except the ratio of 60 seconds detection times.In the reality, in one minute, all vehicles are through the time that covers of this surveyed area.When blocking up very much, it is big to cover the time, and promptly occupation rate is very high.It is few that the time that car is few covers the time, and then occupation rate is little.
If 1 traffic capacity coefficient 0.3, and when then flow is few, might be very stifled, also might be extremely unimpeded, the checking of adding occupation rate parameter is more accurate,
If 1.1 average occupancy>80, the expression utmost point blocks up TEMP=traffic capacity coefficient * 100*1.0+ average occupancy * 1.0;
If 1.2 60=average occupancy=80 and average occupancy, and represent unimpeded slightly, TEMP=traffic capacity coefficient * 100*0.8+ average occupancy * 0.8;
If 1.3 on average occupy 60, represent unimpeded, TEMP=traffic capacity coefficient * 100*0.4+ average occupancy * 0.4;
If 2 0.3=traffic capacity coefficient 0.6, and represent that then flow is moderate, take advantage of in unimpeded,
If 2.1 average occupancy>60, TEMP=traffic capacity coefficient * 100*0.8+ average occupancy * 0.8;
If 2.2 40=average occupancy=and 60, TEMP=traffic capacity coefficient * 100*0.6+ average occupancy * 0.6;
If 2.3 average occupancy 40, TEMP=traffic capacity coefficient * 100*0.4+ average occupancy * 0.4;
If 3 traffic capacity coefficients >=0.6, the expression flow is very big, but still is tromping, so can not block, gets intermediate value, TEMP=traffic capacity coefficient * 100*0.5+ average occupancy * 0.5
It is TEMP/10 that the integral part of the TEMP that
will calculate through said method removes 10, obtains the number of levels among the 1-12.
Through said process, just obtained the flow occupation rate number of levels in the number of levels scope of 1-12.
(5) said speed occupation rate rank detecting device is according to the average speed that calculates in time occupancy that obtains in the said flow occupation rate rank detecting device and the speed step detecting device; Calculate the ratio of said time occupancy and said average velocity; Said ratio is the coefficient that blocks up; The maximal value and the minimum value of the said coefficient that blocks up that blocks up coefficient and store are in advance compared, draw the number of levels of said speed occupation rate.
For example, to certain highway section, the maximal value that the data of at first issuing according to traffic department are provided with the coefficient that blocks up in this highway section is 5; Minimum value is 2; According to the method in step (2) and the step (4), obtain time occupancy and average velocity, the coefficient=time occupancy that blocks up/average velocity then.Coefficient is less than 2 if block up, and belongs to unimpededly, and the number of levels of speed occupation rate is 2; Coefficient belongs to and crowding between 2-5 if block up, and the number of levels of speed occupation rate is 6; Coefficient is greater than 5 if block up, and belongs to unimpededly, and the number of levels of speed occupation rate is 10.
As embodiment that can conversion, the said coefficient that blocks up is less than the minimum value of the said preset coefficient that blocks up, and then said speed occupation rate number of levels is 2 or 3; The value of the said coefficient that blocks up is between the minimum value and maximal value of the said preset coefficient that blocks up, and then said speed occupation rate number of levels is 6 or 7; The said coefficient that blocks up is greater than the maximal value of the said preset coefficient that blocks up, and then said speed occupation rate number of levels is 10 or 11.
(6) said saturation degree coefficient rank detecting device obtains the saturation degree coefficient of direction road to be predicted, according to the maximal value and the minimum value of the saturation degree coefficient that is provided with in advance, draws the number of levels of saturation degree coefficient.
The said saturation degree coefficient here obtains according to the saturation parameters in the SCATS system, if said saturation degree coefficient less than the minimum value of said preset saturation degree coefficient, the number of levels of said saturation degree coefficient is 2 or 3; If said saturation degree coefficient is between the minimum value and maximal value of said preset saturation degree coefficient, the number of levels of said saturation degree coefficient is 6 or 7; If said saturation degree coefficient is greater than the maximal value of said preset saturation degree coefficient, the number of levels of said saturation degree coefficient is 10 or 11.
For example: according to the concrete condition in current highway section, the maximal value of said saturation degree coefficient is 5, and minimum value is 2, obtains the saturation degree coefficient in current highway section through the SCATS system, if actual saturation degree coefficient less than 2, the number of levels of then said saturation degree coefficient is 2; If actual saturation degree coefficient is between 2-5, the number of levels of then said saturation degree coefficient is 6; If the number of levels of said saturation degree coefficient is greater than 5, the number of levels of then said saturation degree coefficient is 10.
(7) said historical road conditions rank detecting device comprises that historical data base and historical road conditions obtain module, records on ordinary days in the said historical data base or the road conditions of each time period during festivals or holidays; Said historical road conditions obtain module and obtain road conditions corresponding in the historical data base according to the current time period, draw historical road conditions number of levels.
Here, every road according on ordinary days, be provided with sooner or later or the road conditions value of peak period and current period holiday.Scheme table road conditions obtain through the equipment collection when being equivalent to day, for unit exception or do not have on the road of equipment at all, then need observe road conditions repeatedly before artificial, and conventional road conditions timetable is set.
At first, set the historical data base of direction road to be predicted, according to observation repeatedly, the routine property traffic information that draws, as shown in Figure 2.Judging current then is to belong to which bar period, like Monday today of the 2nd of morning peak on ordinary days, and from 07:40-09:00, switch open; If state is unimpeded, historical road conditions number of levels is 2; Crowd if belong to, historical road conditions number of levels is 6; If block up, historical road conditions number of levels is 10.
(8) the road condition predicting device with the traffic class number of above-mentioned acquisition, speed step number, the flow traffic capacity than number of levels, flow occupation rate number of levels, speed occupation rate number of levels, level of saturation number and historical road conditions number of levels; Above-mentioned number of levels is the integer among the 1-12 in the present embodiment; They multiply by the shared separately number percent that is provided with in advance sues for peace again; Draw the road conditions number of levels, and then, draw following 30 minutes road conditions with reference to the corresponding road conditions of the road conditions number of levels that is provided with in advance.
The number of levels of setting up according to said method is the integer of 1-12, and the corresponding road conditions of the said road conditions number of levels that is provided with in advance are: said road conditions number of levels is 1-4, and corresponding said road conditions are unimpeded; Said road conditions number of levels is 5-8, and corresponding said road conditions are for crowded; Said road conditions number of levels is 9-12, and corresponding said road conditions are for blocking up; Said road conditions number of levels is less than 1 or greater than 12, and corresponding said road conditions are unusual.Like this, through the road conditions number of levels that aforementioned calculation obtains, the above-mentioned corresponding road conditions that are provided with in advance compare searches, and just can draw the road conditions in following 30 minutes current highway sections.
As embodiment that can conversion, also can draw the road conditions of following 20 minutes or 40 minutes here.
Embodiment 2:
(1) work that before will do: the program aspect will all programming and distribution be good the framework flow process;
(2) traffic flow object configuration effort: the configuration of road, equipment, crossing, highway section, direction is still waiting to predict that the equipment track of leading the way etc. wants in the association.
(3) algorithm configuration: according to the method among the embodiment 1, set every kind of algorithm in the rank detecting device, configure every kind of number percent that algorithm is shared.
As shown in Figure 3, set road Zhong Shan main road; 2 crossing Qiao Koulu, Chongren road; Article 1, highway section S1 Zhong Shan main road _ Qiao Kou road _ Chongren road has been provided with device signal machine testing device related on the highway section, and comprise 3 tracks (lower left D1-1, D1-2, D1-3); Configure highway section to be predicted, the number percent that the traffic class number is shared adopts above-mentioned traffic condition predictions system that following road conditions are well predicted.
Characteristic according to various device ability extracted data decides here.For example the SCATS system can report the full coefficient of gathering around, so just select to block up Coefficient Algorithm, draws the number of levels of saturation degree coefficient.If radar or video detector can be reported flow, can report speed again, we just adopt congestion level Coefficient Algorithm (being occupation rate/speed), obtain speed occupation rate number of levels.Under the situation of having only the ground magnetic coil, can only report single current amount system, at this moment we can select flow traffic capacity ratio or single current amount size.According to the traffic information that current detection arrives, confirm its weight information.Those skilled in the art all can give it and give suitable weights according to its order of accuarcy of validation of information of said each number of levels reflection, therefore can be reflected the information of current road conditions preferably.According to said method following road conditions are predicted, diffusion-weighted through several different methods, as long as hardware data is reliable, declares the attitude accuracy rate and can accomplish more than 75%.In Huizhou, effect has obtained good effect behind the field conducts such as Hefei, has obtained user's approval.
Obviously, the foregoing description only be for explanation clearly done for example, and be not qualification to embodiment.For the those of ordinary skill in affiliated field, on the basis of above-mentioned explanation, can also make other multi-form variation or change.Here need not also can't give exhaustive to all embodiments.And conspicuous variation of being extended out thus or change still are among the protection domain of the utility model creation.
Claims (1)
1. traffic condition predictions system that merges multiple traffic data comprises:
Traffic class detecting device: comprise that flow obtains equipment and traffic class computing module; Said flow obtains equipment and obtains the vehicle flowrate data on the direction road to be predicted; And said data are sent to the traffic class computing module; Said traffic class computing module draws the traffic class number of current road according to preset minimum flow and maximum flow;
Speed step detecting device: comprise speed detection apparatus and speed step computing module; Said speed detection apparatus detects the speed of a motor vehicle on the direction road to be predicted; And said data are sent to the speed step computing module; Said speed step computing module calculates average speed according to detected speed information, and said average speed that obtains and preset minimum speed and maximal rate are compared, and draws the speed step number of current road;
The flow handling capacity is than rank detecting device: per hour be provided with traffick numbers at most in advance; Obtain equipment with said flow and carry out data transmission; Obtain the vehicle flowrate data on the direction road to be predicted; Per hour go out passing vehicle number according to the said vehicle flowrate data computation that obtains then; Calculate the ratio of said per hour passing vehicle number and said preset maximum traffick numbers, said ratio is traffic capacity coefficient, and the integer that obtains after the said traffic capacity coefficient adjustment is compared number of levels for the flow traffic capacity;
Flow occupation rate rank detecting device: according to the time occupancy of the ratio acquisition vehicle of cover time and the set time of vehicle through preset highway section; And obtain said flow handling capacity than the traffic capacity coefficient in the rank detecting device, binding time occupation rate and traffic capacity coefficient calculations outflow occupation rate number of levels then;
Speed occupation rate rank detecting device: according to the average speed that calculates in time occupancy that obtains in the said flow occupation rate rank detecting device and the speed step detecting device; Calculate the ratio of said time occupancy and said average velocity, draw the number of levels of said speed occupation rate according to said ratio;
Saturation degree coefficient rank detecting device: obtain the saturation degree coefficient of direction road to be predicted,, draw the number of levels of saturation degree coefficient according to the upper and lower bound of the saturation degree coefficient that is provided with in advance;
Historical road conditions rank detecting device: comprise that historical data base and historical road conditions obtain module, record on ordinary days in the said historical data base or the road conditions of each time period during festivals or holidays; Said historical road conditions obtain module and obtain road conditions corresponding in the historical data base according to the current time period, draw historical road conditions number of levels;
Road condition predicting device: be provided with traffic class number, speed step number, the flow traffic capacity in advance than number of levels, flow occupation rate number of levels, speed occupation rate number of levels, level of saturation number and the shared number percent of historical road conditions number of levels; Said then each number of levels multiply by its shared number percent sues for peace again; Draw the road conditions number of levels; And then, draw the road conditions in the following schedule time with reference to the corresponding road conditions of the road conditions number of levels that is provided with in advance.
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| CN103971516A (en) * | 2014-05-13 | 2014-08-06 | 紫光捷通科技股份有限公司 | Traffic data preprocessing method and road condition detection method |
| CN104200660A (en) * | 2014-08-29 | 2014-12-10 | 百度在线网络技术（北京）有限公司 | Method and device for updating road condition information |
| CN107547154A (en) * | 2016-06-23 | 2018-01-05 | 华为技术有限公司 | A kind of method and device for establishing video traffic prediction model |
| CN110197584A (en) * | 2019-04-03 | 2019-09-03 | 中国公路工程咨询集团有限公司 | Traffic status of express way evaluation method based on area detector |
| CN113112827A (en) * | 2021-04-14 | 2021-07-13 | 深圳市旗扬特种装备技术工程有限公司 | Intelligent traffic control method and intelligent traffic control system |
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2011
- 2011-12-23 CN CN2011205471915U patent/CN202394387U/en not_active Withdrawn - After Issue
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102542801A (en) * | 2011-12-23 | 2012-07-04 | 北京易华录信息技术股份有限公司 | Traffic condition prediction system fused with various traffic data and method |
| CN102542801B (en) * | 2011-12-23 | 2014-10-08 | 北京易华录信息技术股份有限公司 | Traffic condition prediction system fused with various traffic data and method |
| CN103971516A (en) * | 2014-05-13 | 2014-08-06 | 紫光捷通科技股份有限公司 | Traffic data preprocessing method and road condition detection method |
| CN103971516B (en) * | 2014-05-13 | 2016-04-20 | 紫光捷通科技股份有限公司 | Traffic data preprocess method and road conditions detection method |
| CN104200660A (en) * | 2014-08-29 | 2014-12-10 | 百度在线网络技术（北京）有限公司 | Method and device for updating road condition information |
| CN107547154A (en) * | 2016-06-23 | 2018-01-05 | 华为技术有限公司 | A kind of method and device for establishing video traffic prediction model |
| CN107547154B (en) * | 2016-06-23 | 2020-06-09 | 华为技术有限公司 | Method and device for establishing video traffic prediction model |
| CN110197584A (en) * | 2019-04-03 | 2019-09-03 | 中国公路工程咨询集团有限公司 | Traffic status of express way evaluation method based on area detector |
| CN113112827A (en) * | 2021-04-14 | 2021-07-13 | 深圳市旗扬特种装备技术工程有限公司 | Intelligent traffic control method and intelligent traffic control system |
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