CN108470442A - Real-time traffic tool arrival time and load estimation method and apparatus - Google Patents
Real-time traffic tool arrival time and load estimation method and apparatus Download PDFInfo
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- CN108470442A CN108470442A CN201710098986.4A CN201710098986A CN108470442A CN 108470442 A CN108470442 A CN 108470442A CN 201710098986 A CN201710098986 A CN 201710098986A CN 108470442 A CN108470442 A CN 108470442A
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- vehicles
- website
- arrival time
- load estimation
- bus
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
Abstract
The present invention provides real-time traffic tool arrival time and load estimation method and apparatus, wherein includes the following steps：Step is estimated, the average speed of the distance between average latency of website number, each website based on first website of vehicles current distance, each two website and the vehicles estimate the time that the vehicles reach first website；Obtaining step obtains a plurality of images of passenger for taking the vehicles at an at least station before first website；Scanning step scans a plurality of images, to judge the passengers quantity of vehicles load based on the feature samples of face scanning window.Real-time traffic tool arrival time provided by the invention and load estimation mechanism are accurate, safe and reliable, can predict vehicles arrival time and load in real time, so that passenger makes correct selection to vehicles selection and transfer, improve efficiency.
Description
Technical field
The present invention relates to intelligent transportation field more particularly to real-time traffic tool arrival time and load estimation method and
Device.
Background technology
The public transports such as bus, subway, train are that many people go out the preferred vehicles.Though public transport
Right circuit is fixed, but also has the generation of some special circumstances.For example, bus travels on urban road, on the way through passing by one's way
Multiple traffic lights of mouth, it also occur that the special circumstances such as traffic congestion, failure, accident so that the arrival time of each of which station head can not
It estimates.Passenger can only know that bus probably reaches the time of each station head, and can not learn the operation feelings of bus in real time
Condition.Which kind of in addition, if passenger can grasp the loading condition on bus in real time, can more be made just to taking the vehicles
Really judge.
Therefore, a kind of mechanism for the arrival time and load that can assess the vehicles in real time is needed in the industry, facilitates passenger
It makes accurate judgment to the seating of the vehicles, and is conducive to save public resource.
Invention content
First aspect present invention provides real-time traffic tool arrival time and load estimation method, wherein including as follows
Step：Step is estimated, the average latency of website number, each website based on first website of vehicles current distance,
The average speed of the distance between each two website and the vehicles, estimate the vehicles reach first website when
Between；Obtaining step obtains a plurality of images of passenger for taking the vehicles at an at least station before first website；
Scanning step scans a plurality of images based on the feature samples of face scanning window, to judge that the vehicles are negative
The passengers quantity of load.Real-time traffic tool arrival time provided by the invention and load estimation mechanism are accurate, safe and reliable, energy
Enough prediction vehicles arrival time and load in real time carry so that passenger makes correct selection to vehicles selection and transfer
High efficiency.
Further, the feature samples of the face, which include one, has black rectangle shape and white rectangle shape
Image.
Further, the feature samples of the face are the feature samples of front face.
Further, the scanning step further includes following steps：
The pixel value of the black rectangle shape and white rectangle shape of the feature samples is calculated, and based on described
Difference scanning window scans a plurality of images.
Further, the vehicles include any one of following：
Bus；
Rail traffic.
Further, when the vehicles are bus, the step of estimating further includes following steps：Based on friendship
The average latency of ventilating signal lamp estimates the time that the bus reaches first website.
Further, the step of estimating further includes following steps：When generation traffic congestion, traffic accident or vehicle
When failure, send the pause of halt signal and reach time of first website to the bus and estimate, it is to be restored it is normal after
Continue the bus and reach time of first website to estimate.
Second aspect of the present invention provides real-time traffic tool arrival time and load estimation device, wherein including：In advance
Estimate device, be used for website number based on first website of vehicles current distance, each website average latency,
The average speed of the distance between each two website and the vehicles, estimate the vehicles reach first website when
Between；Acquisition device, the passenger for being used to obtain the vehicles at an at least station before seating first website are a plurality of
Image；Scanning means is used for the feature samples based on face and scans a plurality of images with scanning window, to judge to be somebody's turn to do
The passengers quantity of vehicles load.Real-time traffic tool arrival time provided by the invention and load estimation mechanism are accurate, pacify
Entirely, reliably, vehicles arrival time and load can be predicted in real time, so that passenger makes vehicles selection and transfer
Correct selection, improves efficiency.
Further, the feature samples of the face, which include one, has black rectangle shape and white rectangle shape
Image.
Further, the feature samples of the face are the feature samples of front face.
Further, the scanning means is additionally operable to：Calculate the black rectangle shape and white rectangle of the feature samples
The pixel value of shape, and a plurality of images are scanned based on difference scanning window.
Further, the vehicles include any one of following：
Bus；
Rail traffic.
Further, when the vehicles are bus, the estimating device is additionally operable to：Based on traffic lights
Average latency estimate the time that the bus reaches first website.
Further, the estimating device is additionally operable to：When traffic congestion, traffic accident or vehicle trouble occurs, hair
The time that a halt signal pause reaches the bus first website is sent to estimate, it is to be restored normally to continue the public affairs later
The time that vehicle reaches first website is handed over to estimate.
Description of the drawings
Fig. 1 is real-time traffic tool arrival time and load estimation method accord to a specific embodiment of that present invention
Flow chart of steps；
Fig. 2 schematically illustrates the schematic diagram of the feature samples of a specific embodiment according to the present invention；
Fig. 3 schematically illustrates the black rectangle and white of feature samples accord to a specific embodiment of that present invention
The calculating schematic diagram of the pixel difference of rectangle.
Specific implementation mode
Below in conjunction with attached drawing, description of specific embodiments of the present invention.
It the real-time traffic tool arrival time and load estimation mechanism that the present invention can provide, can be in real time by traffic
The travel route and loading condition of tool are supplied to passenger to select the reference of trip mode.Also, the present invention also fully considers
The special circumstances such as traffic congestion, traffic accident or vehicle trouble are arrived.The present invention is suitable for the friendships such as bus, rail traffic
Logical tool.
First aspect present invention provides real-time traffic tool arrival time and load estimation method, wherein includes mainly
Real-time traffic tool arrival time estimation steps and load estimation step two parts.It is reached below in conjunction with the vehicles are first carried out
The sequence that time estimation step executes load estimation step again illustrates.
It is first carried out and estimates step S1, website number, each website based on first website of vehicles current distance
The average speed of the distance between average latency, each two website and the vehicles, estimating vehicles arrival should
The time of first website.By taking bus as an example, it is assumed that passenger waits in No. 870 roads bus Zhou Jiazui Jiangpu way stations now, away from
It is just being travelled between store road east way station and Dongfang Road Rushan road from nearest No. 870 buses.No. 870 buses
The starting station be Lujiazui station, Lujiazui stop spacing is from 5 station of store road east way station, apart from 6 station of Dongfang Road Rushan way station.Distance
Nearest No. 870 buses apart from passenger wait where 5 stop of the roads Zhou Jiazui Jiangpu way station.Assuming that No. 870 buses
The mean waiting time of each website is 0.5 minute, and No. 870 buses also have 800 meters apart from Dongfang Road Rushan road, Dongfang Road
2000 meters of distance between Rushan way station and Dalian Road Chang Yang way stations, the spacing of Dalian Road Chang Yang way stations and the roads Zhou Jiazui Jing Zhou road
From 1200 meters, the roads Zhou Jiazui Jing Zhou way station and 650 meters of the roads Zhou Jiazui Xuchang way station distance, the roads Zhou Jiazui Xuchang way station and Zhou Jia
850 meters of the Jiangpus Zui Lu way station distance, thus present No. 870 bus apart from passenger wait where total distance be 800+2000+
1200+650+850=5500 meters.Assuming that the average overall travel speed of No. 870 buses is 25km/h, therefore No. 870 buses remove
It is 13.2min to remove the running time of the mean waiting time of each website.
Further, when the vehicles are bus, the step of estimating further includes following steps：Based on friendship
The average latency of ventilating signal lamp estimates the time that the bus reaches first website.Therefore, according to the present embodiment, then
Assuming that No. 870 buses need, by 10 crossings, may averagely pass through from present position to the roads Zhou Jiazui Jiangpu way station
The mean waiting time of 5 traffic lights, each traffic lights is 45 seconds.Therefore, nearest No. 870 buses of distance, which reach, waits
The mean waiting time of the time of the roads Zhou Jiazui Jiangpu way station where passenger=bus running time+bus+traffic letter
Mean waiting time=13.2min+0.5 × 4min+0.75 × 5=18.95min of signal lamp.Therefore waiting passenger can basis
The arrival time on 870 tunnels judges oneself whether can continue to wait, and still changes other vehicles into.
When the vehicles are bus, the step of estimating further includes following steps：When generation traffic congestion, traffic
When accident or vehicle trouble, the time that one halt signal pause of transmission reaches the bus first website is estimated, and waits for
Continue the bus after restoring normal and reach time of first website to estimate.
Then recognition of face theory is mainly utilized in the load estimation correlation step for executing the vehicles.Wherein,
The load estimation step of the vehicles includes mainly obtaining step S2 and scanning step S3.
Obtaining step S2 is first carried out, obtains and takes the vehicles at an at least station before first website
The a plurality of images of passenger.Wherein, according to a preferred embodiment of the present invention, can be arranged near the car door of the vehicles
Monitoring device, such as video camera or do not stop the cameras of snapshots and continuously acquire and will take the traffic by the car door
The great amount of images of multiple passengers of tool.In addition, the shooting angle of monitoring device can be adjusted, it is therefore preferable to Cheng Kehang
Into direction front view.When monitoring device is video camera, the friendship for taking an at least station before first website is obtained
The traveling video is also decomposed into a plurality of images after a plurality of images of passenger of logical tool.For example, by monitor video
In real time according to certain stepping rate (such as stepping rate of 10 pixels) continuous decomposition, to obtain great amount of images.
Then scanning step S3 is executed, a plurality of images are scanned based on the feature samples of face scanning window, with
Judge the passengers quantity of vehicles load.Particularly, the target vehicle is typically bus in the present embodiment,
The feature samples are then the features of face, are scanned from obtaining step and are obtained successively with scanning window using the feature samples of face
The feature of the face for taking bus in the great amount of images obtained, once confirm that certain is characterized as the front of face by object
Feature samples are then judged as passenger.It should be noted that can determine one or more front faces in an image,
In, the size distance of multiple faces in the picture can be different, can still pass through this by adjusting the accuracy of feature samples
The method of invention is scanned and is determined.
Further, as Fig. 2 is schematically shown, the feature samples of the face, which include one, has black rectangle shape
The image of shape and white rectangle shape, further, the feature samples of the face include the feature samples of front face.Its
In, typically, A, B, C, D, E in Fig. 2 are indicated respectively by different black rectangle shapes and white rectangle combination of shapes, sequence
Image.Wherein, the black rectangle in image A and white rectangle are the modes of left and right combination；Black rectangle and white in image B
Colour moment shape is the mode combined up and down；A black rectangle and two white rectangles in image C are combined from left to right one
It rises；Two black rectangles and two white rectangles in image D are that 2 × 2 arrangement mode is combined；The black of image E
Rectangle and white rectangle are full of the entire inclined angle of entire space and figure E.
Therefore, the position relationship of the black rectangle and white rectangle of feature samples can be combined arbitrarily up and down, each
Position, size, angle and the length and width of rectangle can also be adjusted according to the resemblance of face.
Typically, as shown in Fig. 2, image F and G indicate the feature sample of front face in the preferred embodiment of the present invention
This.Image F includes a black rectangle and two white rectangles, and above-mentioned black rectangle is located at the upper area of whole image, in vain
Colour moment morpheme is in the lower area of whole image.Wherein, the lip position of a black rectangle b1 instruction front face, white
The cheek position of left and right two of rectangle w1 and w2 instruction front face.Wherein, according to imaging law or human visual experience,
The lip site color of people is dark, therefore is indicated with the small rectangle b1 of black in the bus feature samples of the present invention, face
Cheek position seems that color is brighter compared to lip position, therefore is indicated with white rectangle w1 and w2.Image G is white by one
Colour moment shape and two black rectangles are arranged above and below, wherein the forehead position of white rectangle w3 instruction front faces, two
The eye portion of black rectangle b2 and b3 instruction front face, wherein according to imaging law or human visual experience, front
The forehead site color of face is relatively bright, therefore is indicated with white rectangle w3 in the bus feature samples of the present invention, front
The eye portion of face seems that color is darker compared to forehead position, therefore is indicated with two black rectangles b2 and b3.
Specifically, when the feature samples based on front face scan a plurality of images with scanning window, scanning window allusion quotation
It is type a rectangle shape window, from top to bottom from left to right successively and Multiple-Scan from the upper left corner of image.For example, scanning window
When the feature samples F or G of the mouth front face of Fig. 2 are scanned across the image of passenger, first with the smaller scanning window base of size
In feature samples F or the G scanning of same size, once there are the lip and cheek position quilt of the face of similar size in photo
Image F matchings or eyes and forehead position are matched by image G, then judge the object for front face.Then, according to certain
Ratio enlargement scanning window, still with figure F or G come the passenger in scan image, to scan and scan window in the picture
The front face that mouth size matches.Similarly, magnified sweep window can be continued to continue to be scanned the vehicle in image,
Until scanning window is amplified to big extreme case as image.It will be appreciated by those skilled in the art that relatively large
Scanning window can be larger in scan image front face, relatively small scanning window scans and what is be matched to is figure
The smaller front face as in, by adjusting scanning window size and each time all in strict accordance with from the upper left corner of image from
Top to bottm from left to right scans successively, can prevent errors and omissions.
Further, the scanning step further includes following steps：Calculate the feature samples black rectangle shape and
The pixel value of white rectangle shape, and a plurality of images are scanned based on difference scanning window.We can utilize
Computer quickly calculates the rectangular pixels of figure, and computer can be referred to as integral image (integral by one kind
Image intermediate representation (intermediate representation)) is calculated.For example, as shown in figure 3, sample
There are one rectangles for the upper left corners feature H tool, and the point a coordinates in the rectangle lower right corner are (x, y), and therefore, the integral image at point a includes
The pixel value (pixel and) of rectangle part：
Ii (x, y)=∑ i (x ', y ')
Wherein, x '≤x, y '≤y, ii (x, y) are pixel values, and i (x, y) is the initial graphics (original of image H
image)。
Image H is not at centre position in whole image, and pixel calculates when black and white rectangle is in an intermediate position
Method is different.Image I as shown in Figure 3 is arranged in a combination by tetra- rectangles of I1, I2, I3, I4 in a manner of 2 × 2,
Computer can seek the pixel of rectangle I4 in the way of array reference (array reference), put the integrogram of 1 position
Picture value is the pixel value of rectangle I1, and the integral image values of 2 positions of point are the pixel value of rectangle I1 and I2, and 3 institute of point is in place
The integral image values set are the pixel value of rectangle I1 and I3, and therefore, the pixel value of rectangle I4 can be by rectangle I4's and rectangle I1
Pixel and the pixel value of I1 and I3 is individually subtracted to obtain.
It therefore, can be in the hope of the pixel value of the white rectangular figure in the feature samples by method as discussed above
With the difference of the pixel value of black rectangle figure.
Second aspect of the present invention provides real-time traffic tool arrival time and load estimation device, wherein its can be
The central management platform (Centralized Management Platform) of running background, is coupled in a plurality of traffic works
Tool, and it is coupled in the website of a plurality of vehicles.By taking bus as an example, central management platform running background and by with
Real-time arrival time and load estimation are completed in a plurality of bus communications, are then passed through in the website of a plurality of vehicles aobvious
The devices such as display screen are shown, and passenger can change to or select by reading the information on display screen.Wherein, each
Bus is optionally provided with GPS module, and real time position can be sent to central management platform.The real-time traffic work
Tool arrival time and load estimation device include：
Estimating device is used for website number based on first website of vehicles current distance, each website is averaged
The average speed of the distance between stand-by period, each two website and the vehicles, estimate the vehicles reach this first
The time of website；
Acquisition device is used to obtain the passenger for taking the vehicles at an at least station before first website
A plurality of images；
Scanning means is used for the feature samples based on face and scans a plurality of images with scanning window, to judge
The passengers quantity of vehicles load.
Further, the feature samples of the face, which include one, has black rectangle shape and white rectangle shape
Image.
Further, the feature samples of the face are the feature samples of front face.
Further, the scanning means is additionally operable to：Calculate the black rectangle shape and white rectangle of the feature samples
The pixel value of shape, and a plurality of images are scanned based on difference scanning window.
Further, the vehicles include any one of following：
Bus；
Rail traffic.
Further, when the vehicles are bus, the estimating device is additionally operable to：Based on traffic lights
Average latency estimate the time that the bus reaches first website.
Further, the estimating device is additionally operable to：When traffic congestion, traffic accident or vehicle trouble occurs, hair
The time that a halt signal pause reaches the bus first website is sent to estimate, it is to be restored normally to continue the public affairs later
The time that vehicle reaches first website is handed over to estimate.
Real-time traffic tool arrival time provided by the invention and load estimation mechanism are accurate, safe and reliable, Neng Goushi
When prediction vehicles arrival time and load improve effect so that passenger selects the vehicles and correct selection is made in transfer
Rate.
Although present disclosure is discussed in detail by above preferred embodiment, but it should be appreciated that above-mentioned
Description be not considered as limitation of the present invention.After those skilled in the art have read the above, for the present invention
A variety of modifications and substitutions all will be apparent.Therefore, protection scope of the present invention should be limited by the attached claims
It is fixed.In addition, any reference signs in the claims should not be construed as limiting the involved claims；One word of " comprising " is not
Exclude device unlisted in other claims or specification or step；The words such as " first ", " second " are only used for indicating
Title, and do not represent any particular order.
Claims (14)
1. real-time traffic tool arrival time and load estimation method, wherein include the following steps：
Step is estimated, it is the average latency of website number, each website based on first website of vehicles current distance, every
The average speed of the distance between two websites and the vehicles estimates the time that the vehicles reach first website；
Obtaining step obtains a plurality of images of passenger for taking the vehicles at an at least station before first website；
Scanning step scans a plurality of images, to judge the vehicles based on the feature samples of face scanning window
The passengers quantity of load.
2. vehicles arrival time according to claim 1 and load estimation method, which is characterized in that the face
Feature samples include an image with black rectangle shape and white rectangle shape.
3. vehicles arrival time according to claim 2 and load estimation method, which is characterized in that the face
Feature samples are the feature samples of front face.
4. vehicles arrival time according to claim 2 and load estimation method, which is characterized in that the scanning step
Rapid further includes following steps：
The pixel value of the black rectangle shape and white rectangle shape of the feature samples is calculated, and is used based on the difference
Scanning window scans a plurality of images.
5. vehicles arrival time according to claim 2 and load estimation method, which is characterized in that the traffic work
Tool includes any one of following：
Bus；
Rail traffic.
6. vehicles arrival time according to claim 1 and load estimation method, which is characterized in that when the traffic
When tool is bus, the step of estimating further includes following steps：
Average latency based on traffic lights estimates the time that the bus reaches first website.
7. vehicles arrival time according to claim 6 and load estimation method, which is characterized in that described to estimate step
Rapid further includes following steps：
When traffic congestion, traffic accident or vehicle trouble occurs, sends a halt signal pause and the bus is reached
The time of first website is estimated, it is to be restored it is normal after continue the bus and reach time of first website to estimate.
8. real-time traffic tool arrival time and load estimation device, wherein including：
Estimating device is used for the average waiting of website number based on first website of vehicles current distance, each website
The average speed of the distance between time, each two website and the vehicles estimate the vehicles and reach first website
Time；
Acquisition device, the passenger for being used to obtain the vehicles at an at least station before seating first website are a plurality of
Image；
Scanning means is used for the feature samples based on face and scans a plurality of images with scanning window, to judge the friendship
The passengers quantity of logical tool load.
9. vehicles arrival time according to claim 8 and load estimation device, which is characterized in that the face
Feature samples include an image with black rectangle shape and white rectangle shape.
10. vehicles arrival time according to claim 9 and load estimation device, which is characterized in that the face
Feature samples be front face feature samples.
11. vehicles arrival time according to claim 9 and load estimation device, which is characterized in that the scanning
Device is additionally operable to：
The pixel value of the black rectangle shape and white rectangle shape of the feature samples is calculated, and is used based on the difference
Scanning window scans a plurality of images.
12. vehicles arrival time according to claim 9 and load estimation device, which is characterized in that the traffic
Tool includes any one of following：
Bus；
Rail traffic.
13. vehicles arrival time according to claim 8 and load estimation device, which is characterized in that when the friendship
When logical tool is bus, the estimating device is additionally operable to：
Average latency based on traffic lights estimates the time that the bus reaches first website.
14. vehicles arrival time according to claim 13 and load estimation device, which is characterized in that described to estimate
Device is additionally operable to：
When traffic congestion, traffic accident or vehicle trouble occurs, sends a halt signal pause and the bus is reached
The time of first website is estimated, it is to be restored it is normal after continue the bus and reach time of first website to estimate.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710098986.4A CN108470442A (en) | 2017-02-23 | 2017-02-23 | Real-time traffic tool arrival time and load estimation method and apparatus |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710098986.4A CN108470442A (en) | 2017-02-23 | 2017-02-23 | Real-time traffic tool arrival time and load estimation method and apparatus |
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ID=63266759
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103440768A (en) * | 2013-09-12 | 2013-12-11 | 重庆大学 | Dynamic-correction-based real-time bus arrival time predicting method |
| CN103680129A (en) * | 2013-12-06 | 2014-03-26 | 深圳先进技术研究院 | Method and system for monitoring operation of public transport vehicle |
| CN204547917U (en) * | 2015-04-15 | 2015-08-12 | 郭帅 | The overcrowding detection alarm system of a kind of car |
| US20160033285A1 (en) * | 2011-10-20 | 2016-02-04 | At&T Mobility Ii Llc | Transportation analytics employing timed fingerprint location information |
-
2017
- 2017-02-23 CN CN201710098986.4A patent/CN108470442A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160033285A1 (en) * | 2011-10-20 | 2016-02-04 | At&T Mobility Ii Llc | Transportation analytics employing timed fingerprint location information |
| CN103440768A (en) * | 2013-09-12 | 2013-12-11 | 重庆大学 | Dynamic-correction-based real-time bus arrival time predicting method |
| CN103680129A (en) * | 2013-12-06 | 2014-03-26 | 深圳先进技术研究院 | Method and system for monitoring operation of public transport vehicle |
| CN204547917U (en) * | 2015-04-15 | 2015-08-12 | 郭帅 | The overcrowding detection alarm system of a kind of car |
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Application publication date: 20180831 |