CN106971537B - For the congestion in road prediction technique and system of emergency event - Google Patents
For the congestion in road prediction technique and system of emergency event Download PDFInfo
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Abstract
The present invention provides the congestion in road prediction technique and system for being directed to emergency event, comprising: road is divided into multiple sections；The history vehicle flowrate data and section starting point for obtaining each section and obtain the connected relation between section to the road section length of road segment end；In the case where emergency event occurs, position occurs for the emergency event for obtaining incident section, the incident section that emergency event occurs, emergency event occupies lane quantity and total lane quantity ratios and emergency event time of origin and predicted congestion duration；The prediction theory congestion length in incident section is calculated according to congestion length computation rule；The history vehicle flowrate data and current data of the history vehicle flowrate data section situation and incident section in combining road situation and incident section, Accurate Prediction jam situation make up prior art missing.
Description
Technical field
The present invention relates to traffic information processing technology fields, more particularly to the congestion in road prediction side for being directed to emergency event
Method and system.
Background technique
As vehicle flowrate is gradually increased on present road, traffic pressure is more and more heavier, and what congestion in road became can not keep away
Exempt from.Traffic administration personnel are relieved traffic congestion by predicted congestion section, and administrative staff predicts selection road trip by congestion out, in advance
It is increasing to survey the demand for being influenced section by congestion.Traditional following road condition predicting is all manually intuition, or slightly informationization
The mode of any is directly to obtain history congestion length average value using history congestion length data, such prediction it is simple but
Accuracy rate is not high, and encountering emergency event (traffic accident, curb parking, lane temporarily occupy) is even more under unpredictable have no way of
Hand can not also dredge road certainly and make support.
Summary of the invention
In view of the foregoing deficiencies of prior art, the purpose of the present invention is to provide the congestion in road for being directed to emergency event
Prediction technique and system, for solving the problems of the prior art.
In order to achieve the above objects and other related objects, the present invention provides a kind of congestion in road prediction for emergency event
Method, comprising: road is divided into multiple sections；The history vehicle flowrate data and section starting point for obtaining each section are to section
The road section length of terminal, and obtain the connected relation between section；In the case where emergency event occurs, the emergency event is obtained
Position occurs for the emergency event in the incident section, the incident section of generation, emergency event occupies lane quantity and total lane quantity
Ratio and emergency event time of origin and predicted congestion duration；The incident is calculated according to the first congestion length computation rule
The prediction theory congestion length in section comprising: the history vehicle flowrate data and emergency event time of origin in the incident section
Calculate total vehicle flowrate data in predicted congestion duration, and by total vehicle flowrate and the emergency event occupy lane quantity with
Total lane quantity ratios are multiplied to obtain predicted congestion vehicle flowrate, and by the predicted congestion vehicle flowrate divided by the total of incident section
Number of track-lines and multiplied by default vehicle commander's parameter to obtain prediction theory congestion length.
In one embodiment of the invention, the congestion in road prediction technique for emergency event, further includes: execute
The first practical congestion length rule of prediction is with the practical congestion length of the prediction for obtaining incident section comprising: judge incident section
Prediction theory congestion length whether be greater than the part way length that position occurs to emergency event for the section starting point in incident section,
To obtain the first judging result；If the first judging result be it is no, using the prediction theory congestion length as incident section
Predict practical congestion length；If the first judging result be it is yes, the part way length is real as the prediction in incident section
Border congestion length.
In one embodiment of the invention, the congestion in road prediction technique for emergency event, comprising: if first
Judging result be it is yes, then determine that the jam situation in the incident section influences whether the forehearth section that is connected, and it is affected to obtain this
It is connected forehearth section as the first impacted section；The described first impacted section is calculated according to the second congestion length computation rule
Prediction theory congestion length, wherein the second congestion length computation rule, comprising: by the prediction theory in the incident section
Congestion length subtracts the part way length and obtains remaining theoretical congestion length；By the vehicle flowrate in the described first impacted section
With the ratio of total vehicle flowrate multiplied by the remaining theoretical congestion length, and multiplied by the number of track-lines in the incident section again divided by
The number of track-lines in the first impacted section is to obtain the prediction theory congestion length in the described first impacted section.
In one embodiment of the invention, the congestion in road prediction technique for emergency event, further includes: execute
The second practical congestion length judgment rule of prediction is with the practical congestion length of the prediction for obtaining the first impacted section comprising: sentence
Whether the prediction theory congestion length in disconnected first impacted section is greater than the road section length in the first impacted section, to obtain second
Judging result；If the second judging result be it is no, the prediction theory congestion length in the first impacted section is real as its prediction
Border congestion length；If the second judging result be it is yes, using the road section length in the first impacted section as the first impacted section
The practical congestion length of prediction.
In one embodiment of the invention, the congestion in road prediction technique for emergency event, further includes: set and deposit
It is prime in the section of jam situation, and sets the connected forehearth section influenced by the jam situation as rear class, it is impacted to first
Section and its rear class section at different levels execute predetermined iterative step until afterbody rear class section；The predetermined iterative step
Include: using the practical congestion length judgment rule of second prediction obtain the current road segment prediction theory congestion length and its
The judging result that road section length compares determines whether that there are rear class sections accordingly；If it does not exist, then the prediction in sections at different levels is obtained
Practical congestion length；If it exists, then it is managed by the prediction that the second congestion length computation rule calculates the existing rear class section
By congestion length.
In one embodiment of the invention, the section, which divides, to be executed by default section division rule, is preset section and is drawn
Divider then includes: that (1) section is unidirectional, and the direction in each section is identical；(2) the vehicle flowrate phase in each unit time in section
Closely；(3) fork on the road is not contained in every section.
In order to achieve the above objects and other related objects, the present invention provides a kind of congestion in road prediction for emergency event
System, comprising: section division module, for road to be divided into multiple sections；Road section information obtains module, each for obtaining
The history vehicle flowrate data and section starting point in section and obtain the connected relation between section to the road section length of road segment end；It is prominent
Send out event information and obtain module, in the case where emergency event occurs, obtain the emergency event generation incident section,
Position occurs for the emergency event in the incident section, emergency event occupies lane quantity and total lane quantity ratios and emergency event
Time of origin and predicted congestion duration；First congestion length computation module, by according to the first congestion length computation rule come based on
Calculate the prediction theory congestion length in the incident section comprising: the history vehicle flowrate data and burst thing in the incident section
Part time of origin occupies total vehicle flowrate and the emergency event to calculate total vehicle flowrate data in predicted congestion duration
Lane quantity and total lane quantity ratios are multiplied to obtain predicted congestion vehicle flowrate, and by the predicted congestion vehicle flowrate divided by thing
Send out total number of track-lines in section and multiplied by default vehicle commander's parameter to obtain prediction theory congestion length.
In one embodiment of the invention, the congestion in road forecasting system for emergency event, further includes: first
Congestion influences judgment module, for executing the first practical congestion length rule of prediction with the practical congestion of the prediction for obtaining incident section
Length, comprising: judge whether the prediction theory congestion length in incident section is greater than the section starting point in incident section to emergency event
The part way length of position occurs, to obtain the first judging result；If the first judging result be it is no, by the prediction theory
Prediction practical congestion length of the congestion length as incident section；If the first judging result be it is yes, the part way is long
Spend the practical congestion length of prediction as incident section.
In one embodiment of the invention, the congestion in road forecasting system for emergency event, comprising: second gathers around
Stifled length computation module, for determining that the jam situation in the incident section is influenced whether when first judging result, which is, is
Be connected forehearth section, and obtains the affected connected forehearth section as the first impacted section；And for according to the second congestion
Length computation rule calculates the prediction theory congestion length in the described first impacted section, wherein the second congestion length gauge
Calculate rule, comprising: the prediction theory congestion length in the incident section is subtracted into the part way length and obtains remaining theory
Congestion length；By the ratio of the vehicle flowrate in the described first impacted section and total vehicle flowrate multiplied by the remaining theoretical congestion
Length, and multiplied by the number of track-lines in the incident section again divided by the number of track-lines in the described first impacted section to obtain described first
The prediction theory congestion length in impacted section.
In one embodiment of the invention, the congestion in road forecasting system for emergency event, further includes: second
Congestion influences judgment module, for executing the second practical congestion length judgment rule of prediction to obtain the pre- of the first impacted section
Survey practical congestion length comprising: it is impacted to judge whether the prediction theory congestion length in the first impacted section is greater than first
The road section length in section, to obtain the second judging result；If the second judging result be it is no, by the prediction in the first impacted section
Theoretical congestion length predicts practical congestion length as it；If the second judging result be it is yes, by the road in the first impacted section
Prediction practical congestion length of the segment length as the first impacted section.
In one embodiment of the invention, the congestion in road forecasting system for emergency event, further includes: logic
Execution module；If being prime there are the section of jam situation, and the connected forehearth section influenced by the jam situation is set as rear class；
The logic execution module, for influencing judgment module to first using the second congestion length computation module and the second congestion
Impacted section and its rear class section at different levels execute predetermined iterative step until afterbody rear class section；Wherein, described
Predetermined iterative step includes: to obtain the prediction theory of the current road segment using the practical congestion length judgment rule of second prediction
Judging result of the congestion length compared with its road section length determines whether that there are rear class sections accordingly；If it does not exist, then it obtains each
The practical congestion length of prediction in grade section；If it exists, then the existing rear class is calculated by the second congestion length computation rule
The prediction theory congestion length in section.
In one embodiment of the invention, the section, which divides, to be executed by default section division rule, is preset section and is drawn
Divider then includes: that (1) section is unidirectional, and the direction in each section is identical；(2) the vehicle flowrate phase in each unit time in section
Closely；(3) fork on the road is not contained in every section.
As described above, the present invention provides a kind of congestion in road prediction technique and system for emergency event, comprising: by road
K-path partition is multiple sections；Obtain each section history vehicle flowrate data and section starting point to road segment end road section length,
And obtain the connected relation between section；In the case where emergency event occurs, obtain incident section that the emergency event occurs,
Position occurs for the emergency event in the incident section, emergency event occupies lane quantity and total lane quantity ratios and emergency event
Time of origin and predicted congestion duration；The prediction theory that the incident section is calculated according to the first congestion length computation rule is gathered around
Stifled length comprising: the history vehicle flowrate data and emergency event time of origin in the incident section are come when calculating predicted congestion
Total vehicle flowrate data in length, and total vehicle flowrate and the emergency event are occupied into lane quantity and total lane quantity ratios phase
Multiplied by obtaining predicted congestion vehicle flowrate, and by the predicted congestion vehicle flowrate divided by total number of track-lines in incident section and multiplied by default
Vehicle commander's parameter is to obtain prediction theory congestion length；Combining road situation and the history vehicle flowrate data and current number in incident section
According to Accurate Prediction jam situation makes up prior art missing.
Detailed description of the invention
Fig. 1 is shown as the present invention and calculates prediction in the congestion in road prediction technique for emergency event in an embodiment
The flow diagram of theoretical congestion length.
Fig. 2 is shown as the present invention and obtains prediction in the congestion in road prediction technique for emergency event in an embodiment
The flow diagram of practical congestion length.
Fig. 3 is shown as the structural schematic diagram of multiple connected forehearth sections of the present invention in an embodiment.
Fig. 4 is shown as the module signal of congestion in road forecasting system for emergency event of the present invention in an embodiment
Figure.
Component label instructions
401 section division modules
402 road section informations obtain module
403 emergency informations obtain module
404 first congestion length computation modules
S101~S104 method and step
S201~S207 method and step
Specific embodiment
Illustrate embodiments of the present invention below by way of specific specific example, those skilled in the art can be by this specification
Other advantages and efficacy of the present invention can be easily understood for disclosed content.The present invention can also pass through in addition different specific realities
The mode of applying is embodied or practiced, the various details in this specification can also based on different viewpoints and application, without departing from
Various modifications or alterations are carried out under spirit of the invention.It should be noted that in the absence of conflict, following embodiment and implementation
Feature in example can be combined with each other.
It should be noted that illustrating the basic structure that only the invention is illustrated in a schematic way provided in following embodiment
Think, only shown in schema then with related component in the present invention rather than component count, shape and size when according to actual implementation
Draw, when actual implementation kenel, quantity and the ratio of each component can arbitrarily change for one kind, and its assembly layout kenel
It is likely more complexity.
Technical solution of the present invention is applied to traffic management technology field；Traffic management department can use of the invention
Technical solution carrys out the influence for the congestion in road situation for precisely predicting to generate by emergency event.
As shown in Figure 1, the present invention provides the embodiment of the congestion in road prediction technique for emergency event, this method packet
It includes:
Step S101: road is divided into multiple sections；
Step S102: obtain each section history vehicle flowrate data and section starting point to road segment end road section length,
And obtain the connected relation between section.
In one embodiment of the invention, the section, which divides, to be executed by default section division rule, is preset section and is drawn
Divider then includes:
(1) section is unidirectional, and the direction in each section is identical；If a road be it is two-way, by direction difference be divided into two
Different sections of highway；
(2) vehicle flowrate in each unit time in section is close；The unit time is, for example, one hour, which exists
Vehicle flowrate in multiple unit time is essentially identical；
(3) fork on the road is not contained in every section；If there is fork on the road, is cut by bifurcation and be divided into different sections of highway.
The connected relation refers to the relationship to connect between road, for example, the section A the tail portion connection section B stem,
There is certain relationship in the section being connected on vehicle flowrate, if such as the section A be only connected with the section B, and the number of track-lines of the two is identical,
Then the vehicle flowrate of A is the vehicle flowrate of B.
Step S103: in the case where emergency event occurs, incident section, incident that the emergency event occurs are obtained
When position occurs for the emergency event in section, emergency event occupies lane quantity and total lane quantity ratios and emergency event occurs
Between and predicted congestion duration.
The emergency event is, for example, traffic accident etc., section it is divided setting completed in the case where；In burst thing
When part occurs, road can be navigated to by road monitoring camera and navigate to specific incident section, and burst can be positioned
Event incident section occur position and occupy lane quantity, and total lane quantity in section when marking off section i.e.
It is knowable, so as to acquire the ratio；By time, that is, knowable emergency event time of origin of monitoring, and can be according to example
Predicted congestion duration as described in inferring excluded the approximate time of emergency event generation obstacle.
Step S104: the prediction theory congestion that the incident section is calculated according to the first congestion length computation rule is long
Degree comprising: the history vehicle flowrate data in the incident section and emergency event time of origin calculate in predicted congestion duration
Total vehicle flowrate data, and total vehicle flowrate and the emergency event are occupied into lane quantity and are multiplied to total lane quantity ratios
Predicted congestion vehicle flowrate is obtained, and by the predicted congestion vehicle flowrate divided by total number of track-lines in incident section and multiplied by default vehicle commander
Parameter is to obtain prediction theory congestion length.
The prediction theory congestion length has reference value, for traffic department with reference to use.
It, can be by being analyzed and processed the history vehicle flowrate to obtain corresponding road section in one embodiment of the invention
Some unit time in average vehicle flow be subject to again using the unit time can pass through equipment as unit of hour
Or manually several mode records the vehicle flowrate that the section each hour passes through, since different based on section and/or the time is different
Vehicle flowrate is also different, then needs to enable data reference value higher by average value, for example, 24 hours will be divided into, each for one day
It was divided by Monday to Sunday, by multiple vehicle flowrate samples of the same unit interval of the same day in multiple weeks in seven days weeks
(such as 5) are averaged, which is denoted as the vehicle flowrate in this day unit interval, such as are arranged on certain section Monday
7 points to 8 points of average vehicle flow of noon is 2000, and the morning on Sunday, 7 points to 8 points of average vehicle flow was 700 etc..
Certainly, the vehicle flowrate of certain a road section can also be obtained based on the section being connected, as previously mentioned, the tail in the section A
Portion connects the stem in the section B, and there is certain relationship in the section being connected on vehicle flowrate, if such as the section A be only connected with the section B,
And the number of track-lines of the two is identical, then the vehicle flowrate of A is the vehicle flowrate of B；Alternatively, the front bifurcated in the section A is the section B and the road C
Section, then the vehicle flowrate in the section A is the sum of the section C and the section B vehicle flowrate.
In one embodiment of the invention, vehicle commander's parameter can be set to 6 meters, foundation are as follows: common vehicle length is big
General 4.6 meters, general 1.4 meters apart from front vehicles when parking, take sum of the two as vehicle commander's parameter.
It illustrates the detailed process for calculating prediction theory congestion length: being equipped with the section A, be 3 lanes, road section length is
100 (rice), if emergency event occupies 1 lane, calculating emergency event prediction theory congestion length caused by the section A: 300
* 1 (occupying number of track-lines)/3 of (vehicle flowrate in the unit time)/2 (prediction half an hour)/3 (total number of track-lines) (total number of track-lines, it is whole
The congestion of body section) * 6 (vehicle commander's parameters)=100 meters.
Further, more accurately to predict actual jam situation, the congestion in road for emergency event is predicted
Method, further includes:
Step S104: it is long with the practical congestion of the prediction for obtaining incident section to execute the first practical congestion length rule of prediction
Degree, as shown in Fig. 2, it is specifically included:
Step S201: judge whether the prediction theory congestion length in incident section is greater than the section starting point in incident section to prominent
The part way length of position occurs for hair event, to obtain the first judging result；
Step S202: if the first judging result be it is no, using the prediction theory congestion length as the pre- of incident section
Practical congestion length is surveyed, the practical congestion length of the prediction is final result；
Step S203: if the first judging result be it is yes, the part way length is real as the prediction in incident section
Border congestion length；
Step S204: if the first judging result be it is yes, determine that the jam situation in the incident section influences whether to be connected
Section, and the affected connected forehearth section is obtained as the first impacted section；According to the second congestion length computation rule
Calculate the prediction theory congestion length in the described first impacted section, wherein the second congestion length computation rule, comprising:
The prediction theory congestion length in the incident section is subtracted into the part way length and obtains remaining theoretical congestion length；By institute
The vehicle flowrate in the first impacted section and the ratio of total vehicle flowrate are stated multiplied by the remaining theoretical congestion length, and multiplied by institute
The number of track-lines in incident section is stated again divided by the number of track-lines in the described first impacted section to obtain the described first impacted section
Prediction theory congestion length.
Optionally, the method also includes: execute the second practical congestion length judgment rule of prediction to obtain first by shadow
Ring the practical congestion length of prediction in section comprising:
Step S205: judge whether the prediction theory congestion length in the first impacted section is greater than the first impacted section
Road section length, to obtain the second judging result；
Step S206: if the second judging result be it is no, using the prediction theory congestion length in the first impacted section as
It predicts practical congestion length；
Step S207: if the second judging result be it is yes, using the road section length in the first impacted section as first by shadow
Ring the practical congestion length of prediction in section.
It is right if being prime there are the section of jam situation, and the connected forehearth section influenced by the jam situation is rear class
First impacted section and its rear class section at different levels execute predetermined iterative step until afterbody rear class section；It is described pre-
Determining iterative step includes: to be gathered around using the prediction theory that the practical congestion length judgment rule of second prediction obtains the current road segment
Stifled judging result of the length compared with its road section length, determines whether that there are rear class sections accordingly；If it does not exist, then it obtains at different levels
The practical congestion length of the prediction in section；If it exists, then the existing rear class road is calculated by the second congestion length computation rule
The prediction theory congestion length of section.
Specifically, it is assumed that the first impacted section is S1, and the rear class sections at different levels being affected by it are S2, S3 ... .Sn,
The S1 in step S201~S207 then being replaced with S2, S3 one by one ... .Sn (n is greater than or equal to 1) is iterated calculating, is judging
Sn does not have to terminate iteration when rear class section out.
Be illustrated as one example, as shown in figure 3, setting B, C subsections mergence is connected to the section A, wagon flow direction be respectively from
B, C to A；
The section A, each unit interval in the section B and the section C vehicle flowrate for example shown in following table:
The section A
| Hour time span | Monday vehicle flowrate | Tuesday vehicle flowrate | Wednesday vehicle flowrate | …… |
| 06-07 | 100 | 80 | 85 | …… |
| 07-08 | 300 | 200 | 220 | …… |
| …… | …… | …… | …… | …… |
The section B
| Hour time span | Monday vehicle flowrate | Tuesday vehicle flowrate | Wednesday vehicle flowrate | …… |
| 06-07 | 55 | 40 | 45 | …… |
| 07-08 | 170 | 110 | 120 | …… |
| …… | …… | …… | …… | …… |
The section C
| Hour time span | Monday vehicle flowrate | Tuesday vehicle flowrate | Wednesday vehicle flowrate | …… |
| 06-07 | 45 | 40 | 40 | …… |
| 07-08 | 130 | 90 | 100 | …… |
| …… | …… | …… | …… | …… |
In the present embodiment, if the number of track-lines in the section A is 3 lanes, section a length of 100；The number of track-lines in the section B is 2 lanes,
The number of track-lines in the section C be 2 lanes, using the vehicle flowrate data in upper table, if on Monday 7 points of morning in the section A apart from road tail
Emergency event occurs for 40 meters of position, occupies 1 lane, the congestion after predicting half an hour, and calculation formula is as follows: (1)
Calculate the prediction theory congestion length caused by the section A: 300 (one hour vehicle flowrate)/2 (prediction half an hour)/3 (total vehicles
Road number) * 1 (occupying number of track-lines)/3 (total number of track-lines, whole section congestion) * 6 (vehicle commander's parameters)=100 meters, it is pre- as caused by
It surveys theoretical congestion length and is greater than 60 meters (growing 100 meters of 40 meters for subtracting event location in road)；So congestion will continue to influence the section B
With the section C (2) according to the vehicle flowrate in the section B and the section C, the prediction theory congestion length in the section B: the 170 (vehicles in the section B is calculated
Flow)/(the prediction theory congestion length in incident section subtracts the practical congestion length of prediction to 300 (total vehicle flowrates) * 40, obtains shadow
Ring the congestion length total to the section B and C) * 3 (number of track-lines in the section A)/2 (number of track-lines in the section B)=34 meters；Calculate the section C
Prediction theory congestion length: 130 (vehicle flowrate in the section C)/300 (total vehicle flowrate) * 40 (it is long to influence the total congestion in the section B and C
Degree) * 3 (number of track-lines in the section A)/2 (number of track-lines in the section C)=26 meters.
If the road section length in the section C, the section B is greater than respective prediction theory congestion length, and prediction theory congestion is long
Degree is as practical congestion length is predicted, obtaining final result is 60 meters of the congestion of the section A, 34 meters of the section B congestion and the congestion of the section C
26 meters；It otherwise, is to predict practical congestion length with the road section length in the section C, the section B, and similarly to analogize by the section C and B
The practical congestion length of prediction in the rear class sections at different levels that section congestion influences.
It is preferred that can reflect that these predict practical congestion length data on the electronic map, such as carried out by different colours
Mark etc., it is more intuitive in this way to see that congestion caused by emergency event influences.
As shown in figure 4, the congestion in road forecasting system embodiment provided by the invention for emergency event is shown, due to it
Principle is essentially identical with above method embodiment, therefore technical characteristic generally applicable between embodiment is not repeated and repeats, the system
System includes: section division module 401, for road to be divided into multiple sections；Road section information obtains module 402, for obtaining
The history vehicle flowrate data and section starting point in each section to road segment end road section length, and obtain the connection between section pass
System；Emergency information obtains module 403, in the case where emergency event occurs, obtaining the emergency event generation
Position occurs for the emergency event in incident section, the incident section, emergency event occupies lane quantity and total lane quantity ratios and
Emergency event time of origin and predicted congestion duration；First congestion length computation module 404, for according to the first congestion length gauge
Rule is calculated to calculate the prediction theory congestion length in the incident section comprising: the history vehicle flowrate number in the incident section
According to calculating total vehicle flowrate data in predicted congestion duration with emergency event time of origin, and by total vehicle flowrate and described prominent
Hair event occupies lane quantity and total lane quantity ratios and is multiplied to obtain predicted congestion vehicle flowrate, and by the predicted congestion vehicle
Flow is divided by total number of track-lines in incident section and multiplied by default vehicle commander's parameter to obtain prediction theory congestion length.
In one embodiment of the invention, the congestion in road forecasting system for emergency event, further includes: first
Congestion influences judgment module, for executing the first practical congestion length rule of prediction with the practical congestion of the prediction for obtaining incident section
Length, comprising: judge whether the prediction theory congestion length in incident section is greater than the section starting point in incident section to emergency event
The part way length of position occurs, to obtain the first judging result；If the first judging result be it is no, by the prediction theory
Prediction practical congestion length of the congestion length as incident section；If the first judging result be it is yes, the part way is long
Spend the practical congestion length of prediction as incident section.
In one embodiment of the invention, the congestion in road forecasting system for emergency event, comprising: second gathers around
Stifled length computation module, for determining that the jam situation in the incident section is influenced whether when first judging result, which is, is
Be connected forehearth section, and obtains the affected connected forehearth section as the first impacted section；And for according to the second congestion
Length computation rule calculates the prediction theory congestion length in the described first impacted section, wherein the second congestion length gauge
Calculate rule, comprising: the prediction theory congestion length in the incident section is subtracted into the part way length and obtains remaining theory
Congestion length；By the ratio of the vehicle flowrate in the described first impacted section and total vehicle flowrate multiplied by the remaining theoretical congestion
Length, and multiplied by the number of track-lines in the incident section again divided by the number of track-lines in the described first impacted section to obtain described first
The prediction theory congestion length in impacted section.
In one embodiment of the invention, the congestion in road forecasting system for emergency event, further includes: second
Congestion influences judgment module, for executing the second practical congestion length judgment rule of prediction to obtain the pre- of the first impacted section
Survey practical congestion length comprising: it is impacted to judge whether the prediction theory congestion length in the first impacted section is greater than first
The road section length in section, to obtain the second judging result；If the second judging result be it is no, by the prediction in the first impacted section
Theoretical congestion length predicts practical congestion length as it；If the second judging result be it is yes, by the road in the first impacted section
Prediction practical congestion length of the segment length as the first impacted section.
In one embodiment of the invention, the congestion in road forecasting system for emergency event, further includes: logic
Execution module；If being prime there are the section of jam situation, and the connected forehearth section influenced by the jam situation is set as rear class；
The logic execution module, for influencing judgment module to first using the second congestion length computation module and the second congestion
Impacted section and its rear class section at different levels execute predetermined iterative step until afterbody rear class section；Wherein, described
Predetermined iterative step includes: to obtain the prediction theory of the current road segment using the practical congestion length judgment rule of second prediction
Judging result of the congestion length compared with its road section length determines whether that there are rear class sections accordingly；If it does not exist, then it obtains each
The practical congestion length of prediction in grade section；If it exists, then the existing rear class is calculated by the second congestion length computation rule
The prediction theory congestion length in section.
In one embodiment of the invention, the section, which divides, to be executed by default section division rule, is preset section and is drawn
Divider then includes: that (1) section is unidirectional, and the direction in each section is identical；(2) the vehicle flowrate phase in each unit time in section
Closely；(3) fork on the road is not contained in every section.
In conclusion the present invention provides a kind of congestion in road prediction technique and system for emergency event, comprising: by road
K-path partition is multiple sections；Obtain each section history vehicle flowrate data and section starting point to road segment end road section length,
And obtain the connected relation between section；In the case where emergency event occurs, obtain incident section that the emergency event occurs,
Position occurs for the emergency event in the incident section, emergency event occupies lane quantity and total lane quantity ratios and emergency event
Time of origin and predicted congestion duration；The prediction theory that the incident section is calculated according to the first congestion length computation rule is gathered around
Stifled length comprising: the history vehicle flowrate data and emergency event time of origin in the incident section are come when calculating predicted congestion
Total vehicle flowrate data in length, and total vehicle flowrate and the emergency event are occupied into lane quantity and total lane quantity ratios phase
Multiplied by obtaining predicted congestion vehicle flowrate, and by the predicted congestion vehicle flowrate divided by total number of track-lines in incident section and multiplied by default
Vehicle commander's parameter is to obtain prediction theory congestion length；Combining road situation and the history vehicle flowrate data and current number in incident section
According to Accurate Prediction jam situation makes up prior art missing.
The present invention effectively overcomes various shortcoming in the prior art and has high industrial utilization value.
The above-described embodiments merely illustrate the principles and effects of the present invention, and is not intended to limit the present invention.It is any ripe
The personage for knowing this technology all without departing from the spirit and scope of the present invention, carries out modifications and changes to above-described embodiment.Cause
This, institute is complete without departing from the spirit and technical ideas disclosed in the present invention by those of ordinary skill in the art such as
At all equivalent modifications or change, should be covered by the claims of the present invention.
Claims (12)
1. a kind of congestion in road prediction technique for emergency event characterized by comprising
Road is divided into multiple sections；
The history vehicle flowrate data and section starting point for obtaining each section and obtain between section to the road section length of road segment end
Connected relation；
In the case where emergency event occurs, the incident section of the emergency event generation, the burst thing in the incident section are obtained
Position occurs for part, emergency event occupies lane quantity and total lane quantity ratios and emergency event time of origin and predicted congestion
Duration；
The prediction theory congestion length in the incident section is calculated according to the first congestion length computation rule comprising: it is described
The history vehicle flowrate data in incident section and emergency event time of origin calculate total vehicle flowrate data in predicted congestion duration,
And total vehicle flowrate and the emergency event are occupied into lane quantity and are multiplied to obtain predicted congestion vehicle with total lane quantity ratios
Flow, and by the predicted congestion vehicle flowrate divided by total number of track-lines in incident section and multiplied by default vehicle commander's parameter to be predicted
Theoretical congestion length.
2. the congestion in road prediction technique according to claim 1 for emergency event, which is characterized in that further include: it holds
Row first predicts practical congestion length rule with the practical congestion length of the prediction for obtaining incident section comprising:
Judge whether the prediction theory congestion length in incident section is greater than the section starting point in incident section to emergency event and position occurs
The part way length set, to obtain the first judging result；
If the first judging result be it is no, the prediction theory congestion length is long as the practical congestion of the prediction in incident section
Degree；
If the first judging result be it is yes, using the part way length as the practical congestion length of the prediction in incident section.
3. the congestion in road prediction technique according to claim 2 for emergency event characterized by comprising
If the first judging result be it is yes, determine the jam situation in the incident section influence whether be connected forehearth section, and obtain should
Affected connected forehearth section is as the first impacted section；
The prediction theory congestion length in the described first impacted section is calculated according to the second congestion length computation rule, wherein institute
State the second congestion length computation rule, comprising: the prediction theory congestion length in the incident section is subtracted into the part way
Length obtains remaining theoretical congestion length；By the ratio of the vehicle flowrate in the described first impacted section and total vehicle flowrate multiplied by
The remaining theoretical congestion length, and multiplied by the number of track-lines in the incident section again divided by the lane in the described first impacted section
It counts to obtain the prediction theory congestion length in the described first impacted section.
4. the congestion in road prediction technique according to claim 3 for emergency event, which is characterized in that further include: it holds
The practical congestion length of the prediction that row second predicts practical congestion length judgment rule to obtain the first impacted section comprising:
Judge whether the prediction theory congestion length in the first impacted section is greater than the road section length in the first impacted section, with
To the second judging result；
If the second judging result be it is no, predict practical congestion for the prediction theory congestion length in the first impacted section as it
Length；
If the second judging result be it is yes, the road section length in the first impacted section is real as the prediction in the first impacted section
Border congestion length.
5. the congestion in road prediction technique according to claim 4 for emergency event, which is characterized in that further include:
If being prime there are the section of jam situation, and the connected forehearth section influenced by the jam situation is set as rear class, to the
One impacted section and its rear class section at different levels execute predetermined iterative step until afterbody rear class section；
The predetermined iterative step includes:
Using the practical congestion length judgment rule of second prediction obtain the current road segment prediction theory congestion length and its
The judging result that road section length compares determines whether that there are rear class sections accordingly；
If it does not exist, then the practical congestion length of prediction in sections at different levels is obtained；
If it exists, then the prediction theory congestion for calculating the existing rear class section by the second congestion length computation rule is long
Degree.
6. the congestion in road prediction technique according to claim 1 for emergency event, which is characterized in that draw in the section
It point is to be executed by default section division rule, default section division rule includes: that (1) section is unidirectional, and the direction in each section
It is identical；(2) vehicle flowrate in each unit time in section is close；(3) fork on the road is not contained in every section.
7. a kind of congestion in road forecasting system for emergency event characterized by comprising
Section division module, for road to be divided into multiple sections；
Road section information obtains module, and the history vehicle flowrate data and section starting point for obtaining each section are to road segment end
Road section length, and obtain the connected relation between section；
Emergency information obtains module, the thing occurred in the case where emergency event occurs, obtaining the emergency event
Send out section, position occurs for the emergency event in the incident section, emergency event occupies lane quantity and total lane quantity ratios and prominent
Send out Time To Event and predicted congestion duration；
First congestion length computation module, for calculating the prediction in the incident section according to the first congestion length computation rule
Theoretical congestion length comprising: the history vehicle flowrate data and emergency event time of origin in the incident section are predicted to calculate
Total vehicle flowrate data in congestion duration, and total vehicle flowrate and the emergency event are occupied into lane quantity and total lane quantity
Ratio is multiplied to obtain predicted congestion vehicle flowrate, and the predicted congestion vehicle flowrate divided by total number of track-lines in incident section and is multiplied
With default vehicle commander's parameter to obtain prediction theory congestion length.
8. the congestion in road forecasting system according to claim 7 for emergency event, which is characterized in that further include: the
One congestion influences judgment module, gathers around for executing the first practical congestion length rule of prediction with the prediction for obtaining incident section is practical
Stifled length, comprising: judge whether the prediction theory congestion length in incident section is greater than the section starting point in incident section to the thing that happens suddenly
The part way length of position occurs for part, to obtain the first judging result；If the first judging result be it is no, by the prediction manage
The practical congestion length of prediction by congestion length as incident section；If the first judging result be it is yes, by the part way
Prediction practical congestion length of the length as incident section.
9. the congestion in road forecasting system according to claim 8 for emergency event characterized by comprising
Second congestion length computation module, for determining the congestion feelings in the incident section when first judging result, which is, is
Condition influences whether the forehearth section that is connected, and obtains the affected connected forehearth section as the first impacted section；And it is used for root
The prediction theory congestion length in the described first impacted section is calculated according to the second congestion length computation rule, wherein described second
Congestion length computation rule, comprising: the prediction theory congestion length in the incident section is subtracted into the part way length and is obtained
To remaining theoretical congestion length；By the ratio of the vehicle flowrate in the described first impacted section and total vehicle flowrate multiplied by described surplus
Remaining theory congestion length, and multiplied by the number of track-lines in the incident section again divided by the number of track-lines in the described first impacted section to obtain
Obtain the prediction theory congestion length in the first impacted section.
10. the congestion in road forecasting system according to claim 9 for emergency event, which is characterized in that further include: the
Two congestions influence judgment module, for executing the second practical congestion length judgment rule of prediction to obtain the first impacted section
Predict practical congestion length comprising: judge whether the prediction theory congestion length in the first impacted section is greater than first by shadow
The road section length in section is rung, to obtain the second judging result；If the second judging result be it is no, by the pre- of the first impacted section
Theoretical congestion length is surveyed as it and predicts practical congestion length；If the second judging result be it is yes, by the first impacted section
Prediction practical congestion length of the road section length as the first impacted section.
11. the congestion in road forecasting system according to claim 10 for emergency event, which is characterized in that further include:
Logic execution module；If be prime there are the section of jam situation, and set the connected forehearth section that is influenced by the jam situation as
Rear class；The logic execution module, for influencing judgment module using the second congestion length computation module and the second congestion
Predetermined iterative step is executed until afterbody rear class section to the first impacted section and its rear class section at different levels；
Wherein, the predetermined iterative step includes:
Using the practical congestion length judgment rule of second prediction obtain the current road segment prediction theory congestion length and its
The judging result that road section length compares determines whether that there are rear class sections accordingly；
If it does not exist, then the practical congestion length of prediction in sections at different levels is obtained；
If it exists, then the prediction theory congestion for calculating the existing rear class section by the second congestion length computation rule is long
Degree.
12. the congestion in road forecasting system according to claim 7 for emergency event, which is characterized in that the section
Division is executed by default section division rule, and default section division rule includes: that (1) section is unidirectional, and the side in each section
To identical；(2) vehicle flowrate in each unit time in section is close；(3) fork on the road is not contained in every section.
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| CN108281000B (en) * | 2018-02-05 | 2020-08-14 | 北京交通大学 | System and method for analyzing influence of data-driven emergency on regional road network |
| CN108320553B (en) * | 2018-04-04 | 2021-04-27 | 大陆投资(中国)有限公司 | Road condition prediction method based on road driving event |
| CN109615852B (en) * | 2018-11-20 | 2021-03-30 | 上海海事大学 | Method for rapidly predicting road traffic flow distribution under sudden accident |
| CN111402585B (en) * | 2020-03-25 | 2021-02-02 | 中南大学 | Detection method for sporadic congestion path |
| CN111723169B (en) * | 2020-04-09 | 2024-04-30 | 腾讯科技（深圳）有限公司 | Map display method and device, electronic equipment and storage medium |
| CN112530163B (en) * | 2020-11-23 | 2022-03-01 | 腾讯科技（深圳）有限公司 | Traffic accident prediction method, traffic accident prediction device, electronic device, and storage medium |
| CN112863172B (en) * | 2020-12-29 | 2022-10-28 | 千方捷通科技股份有限公司 | Highway traffic running state judgment method, early warning method, device and terminal |
| CN113257002B (en) * | 2021-05-11 | 2022-03-25 | 青岛海信网络科技股份有限公司 | Peak start time prediction method, device, equipment and medium |
| CN116229727A (en) * | 2023-05-10 | 2023-06-06 | 深圳市城市交通规划设计研究中心股份有限公司 | Road congestion induction method and management and control system based on online simulation |
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