CN106408945A - Traffic congestion evaluation method and traffic congestion evaluation system - Google Patents
Traffic congestion evaluation method and traffic congestion evaluation system Download PDFInfo
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- CN106408945A CN106408945A CN201611075595.2A CN201611075595A CN106408945A CN 106408945 A CN106408945 A CN 106408945A CN 201611075595 A CN201611075595 A CN 201611075595A CN 106408945 A CN106408945 A CN 106408945A
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Abstract
Embodiments of the invention provide a traffic congestion evaluation method and a traffic congestion evaluation system. The method comprises the following steps: determining the influence scope of a to-be-evaluated region according to a first preset rule; getting the lengths of multiple target road sections within the influence scope, wherein the road sections within the influence scope are obtained in advance through division; getting the historical traffic state data of each target road section in a preset time period, and calculating the congestion duration of each target road section in the preset time period according to the historical traffic state data and a second preset rule; calculating the congestion coefficient of the to-be-evaluated region in the preset time period according to the length and the congestion duration of each target road section; and ranking the degree of congestion of the to-be-evaluated region in the preset time period according to the congestion coefficient. The system is used for implementing the method. According to the method and the system provided by the invention, by ranking the degree of congestion of the to-be-evaluated region, the accuracy of traffic congestion degree evaluation is improved.
Description
Technical field
The present embodiments relate to technical field of transportation, more particularly, to a kind of traffic congestion evaluation method and system.
Background technology
With the raising of social development and people's living standard, the quantity rapid growth of city private car, city is handed over
Contradiction between logical demand and transportation supplies is increasingly sharp, and road traffic congestion phenomenon is increasingly severe.
Urban traffic blocking major part show as vehicle traffic light crossing, gateway, transport hub, charge station,
The traffic such as emphasis section will put the delay that region exceeds normal time.In order to alleviation city is found out on the root that occurs from traffic congestion
The effective ways of city's traffic congestion, in addition it is also necessary to suitable congestion evaluation refers in addition to the analysis to urban traffic blocking feature
Mark.
Under the conditions of prior art, by obtaining periodic quantity and each track corresponding phase place green light of intersection signal machine
Persistent period, detect that vehicle that each track is passed through in phase place green time is actual and utilize phase place green time, calculate and intersect
The jam level that saturation evaluates crossing is led in oral sex, and the method relies on the green time of signal lighties, but each signal lighties road
Mouthful long green light time have larger difference, by the method to congestion in road state carry out ranking and evaluation exist larger partially
Difference；Or, constructing congestion sense respectively according to the change of stroke medium velocity increases curve and congestion sense alleviation curve, and will travel process
It is divided into several congestion status construction congestion status transfer figure, obtained by the congestion sense time cumulation amount summation of all states whole
The congestion sense evaluation of estimate of individual traveling process, but the congestion sense evaluation of estimate in the method relies on congestion status transfer figure, by garage
Sail velocity perturbation impact too big, therefore, carrying out congestion in road situation evaluation and can be subject to certain affecting by the method；Also
Have, calculate the free stream velocity in each section in road network according to the speed data that road network vehicle equipment provides, calculate every
The hourage index in section, carries out analyzing examples acquisition classification number to the hourage index in whole sections, to whole sections
Hourage exponent data carry out cluster analyses, every class is asked with the average of its sample gradient-norm, by be directly proportional to gradient-norm
Rule distributes all kinds of corresponding congestion index scopes, defines membership function and reflects each apoplexy due to endogenous wind hourage exponential number respectively
It is mapped to such corresponding congestion index interval, the key parameter road trip time index of the method is vehicle with present speed row
Sail the ratio travelling the time that same distance needs with free stream velocity, the free stream velocity of advanced road is much larger than inferior grade
Road, same congestion level, free stream velocity more high then road trip time index is higher, and corresponding congestion index is bigger,
Therefore it is not suitable for use in the method and congestion level is evaluated.
Therefore, the problem how proposing the congestion evaluation methodology that a kind of traffic will put region is that current industry is urgently to be resolved hurrily
Need problem.
Content of the invention
For defect of the prior art, the embodiment of the present invention provides a kind of traffic congestion evaluation method and system.
On the one hand, the embodiment of the present invention provides a kind of traffic congestion evaluation method, including：
Determine the coverage in region to be evaluated according to the first preset rules；
Obtain the length of the multiple target road section in described coverage；Wherein, the section in described coverage is pre-
First divide acquisition；
Obtain historical traffic status data in preset period of time for each described target road section, and according to described historical traffic
Status data calculates the congestion duration of each described target road section in described preset period of time according to the second preset rules；
Length according to each described target road section and region to be evaluated described in described congestion duration calculation are described default
Congestion coefficient in period；
According to described congestion coefficient, to described region to be evaluated, the congestion level in preset period of time carries out ranking.
On the other hand, the embodiment of the present invention provides a kind of traffic congestion evaluation system, including：
Processing unit, for determining the coverage in region to be evaluated according to the first preset rules；
First acquisition unit, for obtaining the length of the multiple target road section in described coverage；Wherein, described impact
In the range of section be in advance divide obtain；
Second acquisition unit, for obtaining historical traffic status data in preset period of time for each described target road section,
And each described target road section in described preset period of time is calculated according to the second preset rules according to described historical traffic status data
Congestion duration；
Computing unit, for the length according to each described target road section and area to be evaluated described in described congestion duration calculation
Congestion coefficient in described preset period of time for the domain；
Ranking unit, for according to described congestion coefficient, to described region to be evaluated, the congestion level in preset period of time enters
Row ranking.
The method and system that traffic congestion provided in an embodiment of the present invention is evaluated, by the impact model according to region to be evaluated
Enclose the length of each target road section interior and in region to be evaluated described in the congestion duration calculation in preset period of time when described default
Congestion coefficient in section, and to described region to be evaluated, the congestion level in preset period of time is arranged according to described congestion coefficient
Name, treats evaluation region and carries out congestion level evaluation, improve the accuracy of traffic congestion degree evaluation.
Brief description
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
Have technology description in required use accompanying drawing be briefly described it should be apparent that, drawings in the following description are these
Some bright embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can also root
Obtain other accompanying drawings according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of traffic congestion evaluation method provided in an embodiment of the present invention；
Fig. 2 is described area schematic to be evaluated provided in an embodiment of the present invention；
The structural representation of the traffic congestion evaluation system that Fig. 3 provides for one embodiment of the invention；
The traffic congestion evaluation system structural representation that Fig. 4 provides for another embodiment of the present invention；
Fig. 5 is the structural representation of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
Purpose, technical scheme and advantage for making the embodiment of the present invention are clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is explicitly described it is clear that described embodiment is the present invention
A part of embodiment, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not having
The every other embodiment being obtained under the premise of making creative work, broadly falls into the scope of protection of the invention.
Fig. 1 is the schematic flow sheet of the method that traffic congestion provided in an embodiment of the present invention is evaluated, as shown in figure 1, this reality
Apply a kind of method that example provides traffic congestion to evaluate, including：
S1, determine the coverage in region to be evaluated according to the first preset rules；
Specifically, system obtains described region to be evaluated impact distance in all directions, by described region to be evaluated
Impact distance in all directions is as the coverage in described region to be evaluated.Wherein, described region to be evaluated can be
The key traffic location such as traffic light crossing, gateway, transport hub, charge station, emphasis section, does not do concrete limit herein
Fixed.
S2, the length of the multiple target road section obtaining in described coverage；Wherein, the section in described coverage is
Divide acquisition in advance；
Specifically, in advance by between the region to be evaluated adjacent with next in all directions in described region to be evaluated
Distance is divided into multiple sections, uses Lk,i,jRepresent i-th aspect effect in the distance jth in k-th region to be evaluated in whole city
The length of bar target road section, Mk,iRepresent the target road section number of the i-th aspect effect in the distance in k-th area to be evaluated, βk,iRepresent
The total section number in i-th direction in k-th area to be evaluated.Then Mk,iComputing formula as follows：
max:Mk,i
I-th direction in described region to be evaluated starts to choose M along described direction from described region to be evaluatedk,iIndividual
Section, as described target road section, obtains the length of each described target road section.It is understood that described region to be evaluated
There is residential block gateway, school doorway, access adit and ring road in all directions between the region to be evaluated adjacent with next
Mouthful etc. traffic congestion degree may be produced with the significant position of impact, using the distance between these significant positions as described
Multiple sections between the region to be evaluated adjacent with next in all directions in region to be evaluated are it is also possible to advise according to other
Then carry out pavement section, be not specifically limited herein.
S3, obtain historical traffic status data in preset period of time for each described target road section, and according to described history
Traffic state data calculates the congestion duration of each described target road section in described preset period of time according to the second preset rules；
Specifically, system obtains historical traffic status data in preset period of time for each described target road section, according to
Described historical traffic status data calculates the congestion of each described target road section in described preset period of time according to the second preset rules
Duration.It should be noted that described historical traffic status data was classified according to characteristic day and time period, characteristic day includes
Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday, festivals or holidays, time period dimension includes：Morning peak (7:00-9:00), evening
Peak (17:00～19:00), the flat cutting edge of a knife or a sword time period (9:00～17:00 and 19:00～22:00), night (0:00～7:00 and 22:
00～24:00), whole day (0:00～24:00), described preset period of time similarly has described characteristic day and the genus of described time period
Property；The historical traffic status data of described target road section includes：No road conditions, congestion, slow and unobstructed, described historical traffic state
Data is to obtain the traffic state data of the corresponding preset period of time in the range of default historical time, can be every in one month in the past
Traffic state data in one day corresponding described preset period of time, it is also possible to other historical time scopes, does not specifically limit herein
Fixed.
S4, the length according to each described target road section and region to be evaluated described in described congestion duration calculation are described pre-
If the congestion coefficient in the period；
Specifically, system is by the length of each target road section described and congestion in preset period of time for the described target road section
Duration be multiplied obtain congestion coefficient in preset period of time for the described each target road section, will all described target road section described pre-
If the congestion coefficient summation in the period obtains congestion coefficient in described preset period of time for the described region to be evaluated.May be appreciated
It is that each target road section described is described region to be evaluated target road section in all directions.
S5, according to described congestion coefficient, to described region to be evaluated, the congestion level in preset period of time carries out ranking.
Specifically, system obtains described congestion system in described preset period of time for all of region to be evaluated in whole city
Number, calculates each described region to be evaluated corresponding congestion fraction, root in described preset period of time according to described congestion coefficient
Congestion fraction according to region to be evaluated each described carries out ranking to each region to be evaluated described.
For example, Fig. 2 is described area schematic to be evaluated provided in an embodiment of the present invention, as shown in Fig. 2 described to be evaluated
Region is k-th crossroad A in certain city, adjacent with described region to be evaluated in a first direction -1 four crossway of kth
Mouth is B, and described crossroad A and described crossroad are that the distance between B is divided into multiple sections, described crossroad A
In the impact distance on four direction as illustrated, using impact distance on four direction for the described crossroad A as described
The coverage of crossroad A, obtain described all directions on impact in the distance section as target road section, with first
As a example direction, described crossroad A and described crossroad are that the distance between B is divided into totally 6 sections, obtain described shadow
3 sections ringing close described crossroad A in scope are target road section, then obtain the length of 3 target road section respectively, and point
Huo Qu not 3 target road section on Monday morning peak (7:00-9:00) the historical traffic status data in 30 days in the month before, root
Calculate the congestion duration of target road section according to described historical traffic status data according to the second preset rules, by 3 target road section
Length is multiplied with described congestion duration and obtains the congestion coefficient of 3 target road section, calculates other three sides after the same method
The congestion coefficient of each target road section upwards, here is omitted, finally by described crossroad A in all directions complete
On Monday morning peak (7 of target road section described in portion:00-9:00) it is on Monday early that congestion coefficient summation obtains described crossroad A
Peak (7:00-9:00) congestion coefficient.System obtains all of region to be evaluated in whole city on Monday morning peak (7:00-
9:00) congestion coefficient, calculates all regions to be evaluated in this city on Monday morning peak (7 according to described congestion coefficient:00-9:
00) congestion fraction, the congestion fraction according to each described region to be evaluated carries out ranking to each region to be evaluated described.
Traffic congestion evaluation method provided in an embodiment of the present invention, by the coverage according to region to be evaluated each
The length of target road section and in region to be evaluated gathering around in described preset period of time described in the congestion duration calculation in preset period of time
Stifled coefficient, and according to described congestion coefficient, to described region to be evaluated, the congestion level in preset period of time carries out ranking, treats
Evaluation region carries out congestion level evaluation, improves the accuracy of traffic congestion degree evaluation.
On the basis of above-described embodiment, further, the described shadow determining region to be evaluated according to the first preset rules
Ring scope, including：
If judge to know described region to be evaluated on preset direction the distance between with adjacent region another to be evaluated
More than predetermined threshold value, then using described predetermined threshold value as described region to be evaluated impact distance on described preset direction；
If judging to know that described region to be evaluated is not more than institute with the distance between adjacent region another to be evaluated on preset direction
State predetermined threshold value, then using the distance between described region to be evaluated and described adjacent region another to be evaluated as described to be evaluated
The impact distance on described preset direction in valency region；
Using described region to be evaluated impact distance in all directions as described region to be evaluated coverage.
Specifically, if system judge know described region to be evaluated in one direction with adjacent region another to be evaluated
The distance between be more than predetermined threshold value, then using described predetermined threshold value as described region to be evaluated on described preset direction
Impact distance；If judge to know described region to be evaluated on preset direction the distance between with adjacent region another to be evaluated
Be not more than described predetermined threshold value, then using the distance between described region to be evaluated and described adjacent region another to be evaluated as
The impact distance on described preset direction in described region to be evaluated；Described area to be evaluated can be determined by same method
Impact distance in other all directions of domain, here is omitted；By the impact in all directions of described region to be evaluated away from
From the coverage as described region to be evaluated.
For example, with continued reference to Fig. 2, described predetermined threshold value is θ, if between described crossroad A and described crossroad B
More than θ, then described crossroad A impact distance in the first direction is θ to distance；If described crossroad A and described ten
The distance between word crossing B is not more than θ, then described crossroad A impact distance in the first direction is described four crossway
Mouth the distance between A and described crossroad B.Other three directions of described crossroad A can be determined by same method
On impact distance, here is omitted；Using described crossroad A impact distance in all directions as described to be evaluated
The coverage in region.It is understood that described crossroad A described default pre- threshold value in different directions is specifically permissible
It is adjusted according to practical situation, be not specifically limited herein
Traffic congestion evaluation method provided in an embodiment of the present invention, by the coverage according to region to be evaluated each
The length of target road section and in region to be evaluated gathering around in described preset period of time described in the congestion duration calculation in preset period of time
Stifled coefficient, and according to described congestion coefficient, to described region to be evaluated, the congestion level in preset period of time carries out ranking, treats
Evaluation region carries out congestion level evaluation, improves the accuracy of traffic congestion degree evaluation.
On the basis of above-described embodiment, further, described each described target road section of acquisition is in preset period of time
Historical traffic status data, and calculated in described preset period of time according to the second preset rules according to described historical traffic status data
Each described target road section congestion duration, including：
The described whole day time is divided into multiple equal cycles, obtains each described mesh in each cycle in preset period of time
The historical traffic status data in mark section；
Each target according to the historical traffic state data acquisition of each described target road section in each cycle described
Congestion parameter within each cycle for the section；
By each target road section described in each cycle congestion parameter summation obtain described preset period of time in each
The congestion duration of described target road section.
Specifically, historical traffic status data is divided into eight characteristic day：Monday (Mon), Tuesday (Tue), Wednesday
(Wed), Thursday (Thu), Friday (Fri), Saturday (Sat), Sunday (Sun), festivals or holidays (Hol).Table 1 is the division of whole day time
Cycle, as shown in table 1, use ΨpRepresent different time sections, Ψp={ Ψ0,Ψ1,Ψ2,Ψ3,Ψ4, wherein, Ψ0For round-the-clock
Section, Ψ1For morning peak period, Ψ2For evening peak period, Ψ3For flat peak period, Ψ4For night-time hours；Use Ψp,SAnd Ψp,EPoint
Other express time section ΨpStart cycle and the last cycle, the cycle represents the renewal time of traffic behavior, is 5 minutes when the cycle
When, represent that traffic behavior updates once for every 5 minutes.For example, 0:00～0:05 expression a cycle, 0:05～0:10 represent the
Two cycles, the like, 23:55～24:In 00 the 288th cycle of expression, whole day is divided into 288 cycles for 24 hours.Adopt
Collect j-th of i-th direction in described k-th region to be evaluated target road section at one end in historical time corresponding preset period of time include
Cycle corresponding traffic behavior, obtain the most traffic behavior of occurrence number as described k-th i-th side in region to be evaluated
To j-th target road section traffic behavior within t-th cycle：
Wherein, Sk,i,j,tRepresent j-th of i-th direction in k-th region to be evaluated target road section in described preset period of time
The traffic behavior in t-th cycle, described traffic behavior includes no road conditions, congestion, slow, unimpeded, is designated as 0,1,2,3 respectively.Root
According to each described target road section in each cycle described each target road section described in historical traffic state data acquisition at each
Congestion parameter in cycle：
Wherein, λk,i,j,tFor i-th direction in k-th region to be evaluated j-th target road section in described preset period of time
T-th cycle congestion parameter, for representing j-th of i-th direction in k-th region to be evaluated target road section at t-th week
Whether the phase is congestion.Each target road section described is obtained in described preset period of time in the congestion parameter summation in each cycle
The congestion duration of each described target road section：
Wherein, NpFor described preset period of time ΨpInterior periodicity,For j-th of i-th direction in k-th region to be evaluated
Target road section is in described preset period of time ΨpInterior congestion duration.
Table 1
For example, with continued reference to Fig. 2, each target road section on the A four direction of acquisition described crossroad is within half a year
Monday morning peak (7:00-9:00) historical traffic status data, obtains each described target road section on Monday morning peak (7:
00-9:00) the most traffic behavior of occurrence number is as on Monday morning peak (7 of target road section each described:00-9:00)
Traffic behavior, thus obtain described j-th of i-th direction of crossroad A target road section on Monday morning peak (7:00-9:00) in
T-th cycle congestion parameter lambdak,i,j,t, Monday morning peak (7:00-9:00) it was the 85th～108 cycle, totally 23 cycles,
Then described j-th of i-th direction of crossroad A target road section on Monday morning peak (7:00-9:00) a length of during congestion：
Traffic congestion evaluation method provided in an embodiment of the present invention, by the coverage according to region to be evaluated each
The length of target road section and in region to be evaluated gathering around in described preset period of time described in the congestion duration calculation in preset period of time
Stifled coefficient, and according to described congestion coefficient, to described region to be evaluated, the congestion level in preset period of time carries out ranking, treats
Evaluation region carries out congestion level evaluation, improves the accuracy of traffic congestion degree evaluation.
On the basis of above-described embodiment, further, the described length according to each described target road section and described gather around
Congestion coefficient in described preset period of time for the region to be evaluated described in stifled duration calculation, including：
Length according to each described target road section and described each target road section of congestion duration calculation are when described default
Congestion coefficient in section；
Congestion coefficient summation in described preset period of time for each target road section described is existed as described region to be evaluated
Congestion coefficient in described preset period of time.
Specifically, by appearance when the length of each described target road section in described region to be evaluated and described congestion accordingly
Take advantage of calculating congestion coefficient in described preset period of time for each target road section：Wherein, ρk,i,jFor representing
The congestion coefficient of the i-th direction j-th strip target road section in k-th region to be evaluated,For k-th i-th side in region to be evaluated
To j-th target road section in described preset period of time ΨpInterior congestion duration, Lk,i,jFor i-th direction in k-th region to be evaluated
The length of j target road section.By congestion in described preset period of time for the described area to be evaluated target road section in all directions
Coefficient summation congestion coefficient in described preset period of time as described region to be evaluated：
Wherein, ρkFor the congestion coefficient in k-th region to be evaluated, N is the direction number in k-th region to be evaluated, Mk,iFor
The target road section number in i-th direction in k-th region to be evaluated.
For example, with continued reference to Fig. 2, by described j-th of i-th direction of crossroad A target road section on Monday morning peak (7:
00-9:00) congestion durationLength L with described j-th target road sectionk,i,jIt is multiplied and calculate described j-th target road section
Congestion coefficient ρk,j,j, then described crossroad A on Monday morning peak (7:00-9:00) the congestion coefficient in the period is
Traffic congestion evaluation method provided in an embodiment of the present invention, by the coverage according to region to be evaluated each
The length of target road section and in region to be evaluated gathering around in described preset period of time described in the congestion duration calculation in preset period of time
Stifled coefficient, and according to described congestion coefficient, to described region to be evaluated, the congestion level in preset period of time carries out ranking, treats
Evaluation region carries out congestion level evaluation, improves the accuracy of traffic congestion degree evaluation.
On the basis of above-described embodiment, further, described according to described congestion coefficient, described region to be evaluated is existed
Congestion level in preset period of time carries out ranking, including：
Calculate the congestion fraction in described region to be evaluated according to described congestion coefficient according to the 3rd preset rules；
According to the corresponding described congestion fraction in described region to be evaluated to described region to be evaluated gathering around in preset period of time
Stifled degree carries out ranking.
Specifically, system obtains all of region to be evaluated in whole city corresponding congestion system in described preset period of time
Number, corresponding 100 points of highest congestion coefficient, minimum congestion coefficient as 0 point, unit of account congestion fractionWherein, δ is unit congestion fraction, ρmaxGather around for highest in regions to be evaluated all in described preset period of time
Stifled coefficient, ρminFor minimum congestion coefficient in regions to be evaluated all in described preset period of time.By formula：Calculate
The congestion fraction in k-th region to be evaluated, wherein, ρkFor the congestion coefficient in k-th region to be evaluated, δ is unit congestion fraction.
Fraction according to each described region to be evaluated carries out ranking to each region to be evaluated described from high to low, and ranking is more forward
Then the congestion level in corresponding region to be evaluated is higher, ranking more rearward then the congestion level in corresponding region to be evaluated lower,
Can also according to described region to be evaluated be in different rankings interval by described region to be evaluated different colors or shape
Represent on map.
Traffic congestion evaluation method provided in an embodiment of the present invention, by the coverage according to region to be evaluated each
The length of target road section and in region to be evaluated gathering around in described preset period of time described in the congestion duration calculation in preset period of time
Stifled coefficient, and according to described congestion coefficient, to described region to be evaluated, the congestion level in preset period of time carries out ranking, treats
Evaluation region carries out congestion level evaluation, improves the accuracy of traffic congestion degree evaluation.
Fig. 3 is the structural representation of traffic congestion evaluation system provided in an embodiment of the present invention, as shown in figure 3, the present invention
Embodiment provides a kind of traffic congestion evaluation system, including：Processing unit 301, first acquisition unit 302, second acquisition unit
303rd, computing unit 304 and ranking unit 305, wherein：
Processing unit 301 is used for determining the coverage in region to be evaluated according to the first preset rules；First acquisition unit
302 are used for obtaining the length of the multiple target road section in described coverage；Wherein, the section in described coverage is in advance
Divide acquisition；Second acquisition unit 303 is used for obtaining historical traffic state in preset period of time for each described target road section
Data, and each described target in described preset period of time is calculated according to the second preset rules according to described historical traffic status data
The congestion duration in section；Computing unit 304 is used for length and described congestion duration calculation institute according to each described target road section
State congestion coefficient in described preset period of time for the region to be evaluated；Ranking unit 305 is used for according to described congestion coefficient to described
Congestion level in preset period of time for the region to be evaluated carries out ranking.
Specifically, processing unit 301 obtains described region to be evaluated impact distance in all directions, will be described to be evaluated
Valency region impact distance in all directions is as the coverage in described region to be evaluated.First acquisition unit 302 is in advance
The distance between region to be evaluated adjacent with next in all directions by described region to be evaluated is divided into multiple sections,
Use Lk,i,jRepresent the length of the i-th direction j-th strip target road section in k-th region to be evaluated in whole city, Mk,iRepresent k-th
The target road section number in i-th direction in area to be evaluated, βk,iRepresent the total section number in i-th direction in k-th area to be evaluated.Then Mk,i's
Computing formula is as follows：
max:Mk,i
I-th direction in described region to be evaluated starts to choose M along described direction from described region to be evaluatedk,iIndividual
Section, as described target road section, obtains the length of each described target road section.Second acquisition unit 303 obtains described in each
Historical traffic status data in preset period of time for the target road section, according to described historical traffic status data according to the second default rule
Then calculate the congestion duration of each described target road section described preset period of time Nei.Computing unit 304 is by each target road described
Congestion duration in preset period of time is multiplied the described each target road section of acquisition when default to the length of section with described target road section
Congestion coefficient in section, congestion coefficient summation in described preset period of time for all described target road section is obtained described to be evaluated
Congestion coefficient in described preset period of time for the region.Ranking unit 305 system obtains all of region to be evaluated in whole city and exists
Described congestion coefficient in described preset period of time, calculates each described region to be evaluated described pre- according to described congestion coefficient
If corresponding congestion fraction in the period, the congestion fraction according to each described region to be evaluated is to each region to be evaluated described
Carry out ranking.
Traffic congestion evaluation system provided in an embodiment of the present invention, by the coverage according to region to be evaluated each
The length of target road section and in region to be evaluated gathering around in described preset period of time described in the congestion duration calculation in preset period of time
Stifled coefficient, and according to described congestion coefficient, to described region to be evaluated, the congestion level in preset period of time carries out ranking, treats
Evaluation region carries out congestion level evaluation, improves the accuracy of traffic congestion degree evaluation.
On the basis of above-described embodiment, further, processing unit 301 specifically for：
If judge to know described region to be evaluated on preset direction the distance between with adjacent region another to be evaluated
More than predetermined threshold value, then using described predetermined threshold value as described region to be evaluated impact distance on described preset direction；
If judging to know that described region to be evaluated is not more than institute with the distance between adjacent region another to be evaluated on preset direction
State predetermined threshold value, then using the distance between described region to be evaluated and described adjacent region another to be evaluated as described to be evaluated
The impact distance on described preset direction in valency region；
Using described region to be evaluated impact distance in all directions as described region to be evaluated coverage.
Specifically, if processing unit 301 judges to know that described region to be evaluated another is treated with adjacent in one direction
The distance between evaluation region is more than predetermined threshold value, then preset described predetermined threshold value described as described region to be evaluated
Impact distance on direction；If judge know described region to be evaluated on preset direction with adjacent region another to be evaluated it
Between distance be not more than described predetermined threshold value, then by between described region to be evaluated and described adjacent region another to be evaluated
Distance impact distance on described preset direction as described region to be evaluated；Can be determined described by same method
Impact distance in other all directions of region to be evaluated, here is omitted；By described region to be evaluated in all directions
Impact distance as described region to be evaluated coverage.
Traffic congestion evaluation system provided in an embodiment of the present invention, by the coverage according to region to be evaluated each
The length of target road section and in region to be evaluated gathering around in described preset period of time described in the congestion duration calculation in preset period of time
Stifled coefficient, and according to described congestion coefficient, to described region to be evaluated, the congestion level in preset period of time carries out ranking, treats
Evaluation region carries out congestion level evaluation, improves the accuracy of traffic congestion degree evaluation.
The traffic congestion evaluation system structural representation that Fig. 4 provides for another embodiment of the present invention, as shown in figure 4, described
System includes processing unit 301, first acquisition unit 302, second acquisition unit 303, computing unit 304 and ranking unit 305,
Described second acquisition unit 303 includes dividing subelement 305, obtains subelement 306 and summation subelement 307, wherein：
Divide subelement 305 to be used for for the described whole day time being divided into multiple equal cycles, obtain each in each cycle
The historical traffic status data of individual described target road section；Obtain subelement 306 to be used for according in each cycle described described in each
Congestion parameter within each cycle for each target road section described in the historical traffic state data acquisition of target road section；Summation is single
Unit 307 be used for by each target road section described in each cycle congestion parameter summation obtain described preset period of time in each
The congestion duration of described target road section.
Specifically, divide subelement 305 and historical traffic status data is divided into eight characteristic day：Monday (Mon), Tuesday
(Tue), Wednesday (Wed), Thursday (Thu), Friday (Fri), Saturday (Sat), Sunday (Sun), festivals or holidays (Hol).Table 1 is whole day
In the cycle of the division of time, as shown in table 1, use ΨpRepresent different time sections, Ψp={ Ψ0,Ψ1,Ψ2,Ψ3,Ψ4, wherein,
Ψ0For whole day period, Ψ1For morning peak period, Ψ2For evening peak period, Ψ3For flat peak period, Ψ4For night-time hours；With
Ψp,SAnd Ψp,EExpress time section Ψ respectivelypStart cycle and the last cycle, the cycle represents the renewal time of traffic behavior, when
When cycle is 5 minutes, represent that traffic behavior updates once for every 5 minutes.For example, 0:00～0:05 expression a cycle, 0:05
～0:10 expression second periods, the like, 23:55～24:In 00 the 288th cycle of expression, whole day is divided into for 24 hours
288 cycles.Acquisition subelement 306 gathers j-th of i-th direction in described k-th region to be evaluated target road section and goes through at one end
The cycle corresponding traffic behavior that in the history time, corresponding preset period of time includes, obtains the most traffic behavior conduct of occurrence number
Traffic behavior within t-th cycle for j-th of i-th direction in described k-th region to be evaluated target road section：
Wherein, Sk,i,j,tRepresent j-th of i-th direction in k-th region to be evaluated target road section in described preset period of time
The traffic behavior in t-th cycle, described traffic behavior includes no road conditions, congestion, slow, unimpeded, is designated as 0,1,2,3 respectively.Obtain
Take subelement 306 each mesh according to the historical traffic state data acquisition of each described target road section in each cycle described
Congestion parameter within each cycle for the mark section：
Wherein, λk,i,j,tFor i-th direction in k-th region to be evaluated j-th target road section in described preset period of time
T-th cycle congestion parameter, for representing j-th of i-th direction in k-th region to be evaluated target road section at t-th week
Whether the phase is congestion.Each target road section described is obtained in described preset period of time in the congestion parameter summation in each cycle
The congestion duration of each described target road section：
Wherein, NpFor described preset period of time ΨpInterior periodicity,For j-th of i-th direction in k-th region to be evaluated
Target road section is in described preset period of time ΨpInterior congestion duration.
Traffic congestion evaluation system provided in an embodiment of the present invention, by the coverage according to region to be evaluated each
The length of target road section and in region to be evaluated gathering around in described preset period of time described in the congestion duration calculation in preset period of time
Stifled coefficient, and according to described congestion coefficient, to described region to be evaluated, the congestion level in preset period of time carries out ranking, treats
Evaluation region carries out congestion level evaluation, improves the accuracy of traffic congestion degree evaluation.
On the basis of above-described embodiment, further, computing unit 304 specifically for：
Length according to each described target road section and described each target road section of congestion duration calculation are when described default
Congestion coefficient in section；
Congestion coefficient summation in described preset period of time for each target road section described is existed as described region to be evaluated
Congestion coefficient in described preset period of time.
Specifically, computing unit 304 is by the length of each described target road section in described region to be evaluated and corresponding institute
State the multiplication of congestion duration and calculate congestion coefficient in described preset period of time for each target road section：Its
In, ρk,j,jFor representing the congestion coefficient of the i-th direction j-th strip target road section in k-th region to be evaluated,To be evaluated for k-th
J-th of the direction in i-th of valency region target road section is in described preset period of time ΨpInterior congestion duration, Lk,i,jFor k-th area to be evaluated
The length of j-th target road section in i-th direction in domain.By described area to be evaluated target road section in all directions described default
Congestion coefficient summation in period congestion coefficient in described preset period of time as described region to be evaluated：
Wherein, ρkFor the congestion coefficient in k-th region to be evaluated, N is the direction number in k-th region to be evaluated, Mk,iFor
The target road section number in i-th direction in k-th region to be evaluated.
Traffic congestion evaluation system provided in an embodiment of the present invention, by the coverage according to region to be evaluated each
The length of target road section and in region to be evaluated gathering around in described preset period of time described in the congestion duration calculation in preset period of time
Stifled coefficient, and according to described congestion coefficient, to described region to be evaluated, the congestion level in preset period of time carries out ranking, treats
Evaluation region carries out congestion level evaluation, improves the accuracy of traffic congestion degree evaluation.
On the basis of above-described embodiment, further, ranking unit 305 specifically for：
Calculate the congestion fraction in described region to be evaluated according to described congestion coefficient according to the 3rd preset rules；
According to the corresponding described congestion fraction in described region to be evaluated to described region to be evaluated gathering around in preset period of time
Stifled degree carries out ranking.
Specifically, to obtain all of region to be evaluated in whole city corresponding in described preset period of time for ranking unit 305
Congestion coefficient, corresponding 100 points of highest congestion coefficient, minimum congestion coefficient as 0 point, unit of account congestion fractionWherein, δ is unit congestion fraction, ρmaxGather around for highest in regions to be evaluated all in described preset period of time
Stifled coefficient, ρminFor minimum congestion coefficient in regions to be evaluated all in described preset period of time.By formula：Calculate
The congestion fraction in k-th region to be evaluated, wherein, ρkFor the congestion coefficient in k-th region to be evaluated, δ is unit congestion fraction.
Fraction according to each described region to be evaluated carries out ranking to each region to be evaluated described from high to low, and ranking is more forward
Then the congestion level in corresponding region to be evaluated is higher, ranking more rearward then the congestion level in corresponding region to be evaluated lower,
Can also according to described region to be evaluated be in different rankings interval by described region to be evaluated different colors or shape
Represent on map.
Traffic congestion evaluation system provided in an embodiment of the present invention, by the coverage according to region to be evaluated each
The length of target road section and in region to be evaluated gathering around in described preset period of time described in the congestion duration calculation in preset period of time
Stifled coefficient, and according to described congestion coefficient, to described region to be evaluated, the congestion level in preset period of time carries out ranking, treats
Evaluation region carries out congestion level evaluation, improves the accuracy of traffic congestion degree evaluation.
The embodiment of the system that the present invention provides specifically can be used for executing the handling process of above-mentioned each method embodiment, its
Function will not be described here, and is referred to the detailed description of said method embodiment.
Fig. 5 is the structural representation of electronic equipment provided in an embodiment of the present invention, as shown in figure 5, this electronic equipment is permissible
Including：Processor (processor) 501, memorizer (memory) 502 and bus 503, wherein, processor 501, memorizer 502
Mutual communication is completed by bus 503.Processor 501 can call the logical order in memorizer 502, as follows to execute
Method：Determine the coverage in region to be evaluated according to the first preset rules；Obtain the multiple target roads in described coverage
The length of section；Wherein, the section in described coverage is to divide in advance to obtain；Obtain each described target road section default
Historical traffic status data in period, and calculated described pre- according to the second preset rules according to described historical traffic status data
If the congestion duration of each described target road section in the period；Length according to each described target road section and described congestion duration meter
Calculate congestion coefficient in described preset period of time for the described region to be evaluated；According to described congestion coefficient, described region to be evaluated is existed
Congestion level in preset period of time carries out ranking.
The embodiment of the present invention discloses a kind of computer program, and described computer program includes being stored in non-transient
Computer program on computer-readable recording medium, described computer program includes programmed instruction, when described program instructs quilt
During computer execution, computer is able to carry out the method that above-mentioned each method embodiment is provided, for example, include：Default according to first
Rule determines the coverage in region to be evaluated；Obtain the length of the multiple target road section in described coverage；Wherein, described
Section in coverage is to divide in advance to obtain；Obtain historical traffic shape in preset period of time for each described target road section
State data, and each described mesh in described preset period of time is calculated according to the second preset rules according to described historical traffic status data
The congestion duration in mark section；Length according to each described target road section and region to be evaluated described in described congestion duration calculation exist
Congestion coefficient in described preset period of time；According to described congestion coefficient to described region to be evaluated congestion journey in preset period of time
Degree carries out ranking.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium storing program for executing, described non-transient computer readable storage
Medium storing computer instructs, and described computer instruction makes described computer execute the side that above-mentioned each method embodiment is provided
Method, for example, include：Determine the coverage in region to be evaluated according to the first preset rules；Obtain multiple in described coverage
The length of target road section；Wherein, the section in described coverage is to divide in advance to obtain；Obtain each described target road section
Historical traffic status data in preset period of time, and calculated according to the second preset rules according to described historical traffic status data
The congestion duration of each described target road section in described preset period of time；Length according to each described target road section and described congestion
Congestion coefficient in described preset period of time for the region to be evaluated described in duration calculation；According to described congestion coefficient to described to be evaluated
Congestion level in preset period of time for the region carries out ranking.
Additionally, the logical order in above-mentioned memorizer 503 can be realized by the form of SFU software functional unit and be used as
When independent production marketing or use, can be stored in a computer read/write memory medium.Based on such understanding, this
The part that substantially in other words prior art contributed of technical scheme of invention or this technical scheme partly can be with
The form of software product embodies, and this computer software product is stored in a storage medium, including some instructions in order to
Make a computer equipment (can be personal computer, server, or network equipment etc.) each enforcement of the execution present invention
The all or part of step of example methods described.And aforesaid storage medium includes：USB flash disk, portable hard drive, read only memory (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. various
Can be with the medium of store program codes.
System embodiment described above is only that schematically the wherein said unit illustrating as separating component can
To be or to may not be physically separate, as the part that unit shows can be or may not be physics list
Unit, you can with positioned at a place, or can also be distributed on multiple NEs.Can be selected it according to the actual needs
In the purpose to realize this embodiment scheme for some or all of module.Those of ordinary skill in the art are not paying creativeness
Work in the case of, you can to understand and to implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
Mode by software plus necessary general hardware platform to be realized naturally it is also possible to pass through hardware.Based on such understanding, on
That states that technical scheme substantially contributes to prior art in other words partly can be embodied in the form of software product, should
Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD etc., including some fingers
Order is with so that a computer equipment (can be personal computer, server, or network equipment etc.) executes each enforcement
Example or some partly described methods of embodiment.
Finally it should be noted that：Above example only in order to technical scheme to be described, is not intended to limit；Although
With reference to the foregoing embodiments the present invention is described in detail, it will be understood by those within the art that：It still may be used
To modify to the technical scheme described in foregoing embodiments, or equivalent is carried out to wherein some technical characteristics；
And these modification or replace, do not make appropriate technical solution essence depart from various embodiments of the present invention technical scheme spirit and
Scope.
Claims (10)
1. a kind of traffic congestion evaluation method is it is characterised in that include：
Determine the coverage in region to be evaluated according to the first preset rules；
Obtain the length of the multiple target road section in described coverage；Wherein, the section in described coverage is to draw in advance
Separately win；
Obtain historical traffic status data in preset period of time for each described target road section, and according to described historical traffic state
Data calculates the congestion duration of each described target road section in described preset period of time according to the second preset rules；
Length according to each described target road section and region to be evaluated described in described congestion duration calculation are in described preset period of time
Interior congestion coefficient；
According to described congestion coefficient, to described region to be evaluated, the congestion level in preset period of time carries out ranking.
2. method according to claim 1 is it is characterised in that described determine region to be evaluated according to the first preset rules
Coverage, including：
If judging to know that described region to be evaluated is more than with the distance between adjacent region another to be evaluated on preset direction
Predetermined threshold value, then using described predetermined threshold value as described region to be evaluated impact distance on described preset direction；If sentencing
It is disconnected that to know that described region to be evaluated is not more than with the distance between adjacent region another to be evaluated on preset direction described pre-
If threshold value, then using the distance between described region to be evaluated and described adjacent region another to be evaluated as described area to be evaluated
The impact distance on described preset direction in domain；
Using described region to be evaluated impact distance in all directions as described region to be evaluated coverage.
3. method according to claim 1 is it is characterised in that each described target road section of described acquisition is in preset period of time
Historical traffic status data, and according to described historical traffic status data according to second preset rules calculate described preset period of time
The congestion duration of each interior described target road section, including：
The whole day time is divided into multiple equal cycles, obtains each described target road in each cycle in described preset period of time
The historical traffic status data of section；
Each target road section according to the historical traffic state data acquisition of each described target road section in each cycle described
Congestion parameter within each cycle；
By each target road section described in each cycle congestion parameter summation obtain described preset period of time in each described in
The congestion duration of target road section.
4. method according to claim 1 is it is characterised in that the described length according to each described target road section and described
Congestion coefficient in described preset period of time for the region to be evaluated described in congestion duration calculation, including：
Length according to each described target road section and described each target road section of congestion duration calculation are in described preset period of time
Congestion coefficient；
Congestion coefficient in described preset period of time for each target road section described is sued for peace as described region to be evaluated described
Congestion coefficient in preset period of time.
5. method according to claim 1 it is characterised in that described according to described congestion coefficient to described region to be evaluated
Congestion level in preset period of time carries out ranking, including：
Calculate the congestion fraction in described region to be evaluated according to described congestion coefficient according to the 3rd preset rules；
According to the corresponding fraction in described region to be evaluated, to described region to be evaluated, the congestion level in preset period of time is arranged
Name.
6. a kind of traffic congestion evaluation system is it is characterised in that include：
Processing unit, for determining the coverage in region to be evaluated according to the first preset rules；
First acquisition unit, for obtaining the length of the multiple target road section in described coverage；Wherein, described coverage
Interior section is to divide in advance to obtain；
Second acquisition unit, for obtaining historical traffic status data in preset period of time for each described target road section, and root
Calculate the gathering around of each described target road section in described preset period of time according to described historical traffic status data according to the second preset rules
Stifled duration；
Computing unit, exists for the length according to each described target road section and region to be evaluated described in described congestion duration calculation
Congestion coefficient in described preset period of time；
Ranking unit, for according to described congestion coefficient, to described region to be evaluated, the congestion level in preset period of time is arranged
Name.
7. system according to claim 6 it is characterised in that described processing unit specifically for：
If judging to know that described region to be evaluated is more than with the distance between adjacent region another to be evaluated on preset direction
Predetermined threshold value, then using described predetermined threshold value as described region to be evaluated impact distance on described preset direction；If sentencing
It is disconnected that to know that described region to be evaluated is not more than with the distance between adjacent region another to be evaluated on preset direction described pre-
If threshold value, then using the distance between described region to be evaluated and described adjacent region another to be evaluated as described area to be evaluated
The impact distance on described preset direction in domain；
Using described region to be evaluated impact distance in all directions as described region to be evaluated coverage.
8. system according to claim 6 is it is characterised in that described second acquisition unit includes：
Divide subelement, be divided into multiple equal cycles for the whole day time, obtain each described target in each cycle
The historical traffic status data in section；
Obtain subelement, for the historical traffic state data acquisition institute according to each described target road section in each cycle described
State congestion parameter within each cycle for each target road section；
Summation subelement, for when by each target road section described, the congestion parameter summation within each cycle obtains described default
The congestion duration of each the described target road section in section.
9. system according to claim 6 it is characterised in that described computing unit specifically for：
Length according to each described target road section and described each target road section of congestion duration calculation are in described preset period of time
Congestion coefficient；
Congestion coefficient in described preset period of time for each target road section described is sued for peace as described region to be evaluated described
Congestion coefficient in preset period of time.
10. system according to claim 6 it is characterised in that described ranking unit specifically for：
Calculate the congestion fraction in described region to be evaluated according to described congestion coefficient according to the 3rd preset rules；
According to the corresponding described congestion fraction in described region to be evaluated to described region to be evaluated congestion journey in preset period of time
Degree carries out ranking.
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Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108281000A (en) * | 2018-02-05 | 2018-07-13 | 北京交通大学 | A kind of accident of data-driven is to Regional Road Network impact analysis system and method |
| CN108622080A (en) * | 2018-06-20 | 2018-10-09 | 上海博泰悦臻网络技术服务有限公司 | Power drive mode switching method based on hybrid vehicle and hybrid vehicle |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101226685A (en) * | 2007-11-20 | 2008-07-23 | 东南大学 | Method for acquisition and treatment of road traffic accident data |
| CN102110365A (en) * | 2009-12-28 | 2011-06-29 | 日电（中国）有限公司 | Road condition prediction method and road condition prediction system based on space-time relationship |
| CN102637357A (en) * | 2012-03-27 | 2012-08-15 | 山东大学 | Regional traffic state assessment method |
| CN102819955A (en) * | 2012-09-06 | 2012-12-12 | 北京交通发展研究中心 | Road network operation evaluation method based on vehicle travel data |
| US20140149029A1 (en) * | 2011-07-20 | 2014-05-29 | Sumitomo Electric Industries, Ltd. | Traffic evaluation device and traffic evaluation method |
| CN104157139A (en) * | 2014-08-05 | 2014-11-19 | 中山大学 | Prediction method and visualization method of traffic jam |
-
2016
- 2016-11-28 CN CN201611075595.2A patent/CN106408945B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101226685A (en) * | 2007-11-20 | 2008-07-23 | 东南大学 | Method for acquisition and treatment of road traffic accident data |
| CN102110365A (en) * | 2009-12-28 | 2011-06-29 | 日电（中国）有限公司 | Road condition prediction method and road condition prediction system based on space-time relationship |
| US20140149029A1 (en) * | 2011-07-20 | 2014-05-29 | Sumitomo Electric Industries, Ltd. | Traffic evaluation device and traffic evaluation method |
| CN102637357A (en) * | 2012-03-27 | 2012-08-15 | 山东大学 | Regional traffic state assessment method |
| CN102819955A (en) * | 2012-09-06 | 2012-12-12 | 北京交通发展研究中心 | Road network operation evaluation method based on vehicle travel data |
| CN104157139A (en) * | 2014-08-05 | 2014-11-19 | 中山大学 | Prediction method and visualization method of traffic jam |
Cited By (26)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108806283A (en) * | 2017-05-02 | 2018-11-13 | 中移物联网有限公司 | A kind of control method and car networking platform of traffic lights |
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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 |
| CN108281000A (en) * | 2018-02-05 | 2018-07-13 | 北京交通大学 | A kind of accident of data-driven is to Regional Road Network impact analysis system and method |
| CN108622080A (en) * | 2018-06-20 | 2018-10-09 | 上海博泰悦臻网络技术服务有限公司 | Power drive mode switching method based on hybrid vehicle and hybrid vehicle |
| CN108622080B (en) * | 2018-06-20 | 2022-03-25 | 上海博泰悦臻网络技术服务有限公司 | Power driving mode switching method based on hybrid electric vehicle and hybrid electric vehicle |
| CN109360414A (en) * | 2018-09-18 | 2019-02-19 | 北京交通大学 | The often identification of hair congested link and screening method |
| CN109360414B (en) * | 2018-09-18 | 2020-10-23 | 北京交通大学 | Identification and screening method for frequently congested road sections |
| CN110473398A (en) * | 2019-07-29 | 2019-11-19 | 安徽科力信息产业有限责任公司 | A kind of urban road congestion analysis method and device |
| CN110491122A (en) * | 2019-07-29 | 2019-11-22 | 安徽科力信息产业有限责任公司 | A kind of method and device reducing urban congestion ranking |
| CN110718057A (en) * | 2019-09-11 | 2020-01-21 | 北京掌行通信息技术有限公司 | Road network operation state evaluation method and device, electronic equipment and medium |
| CN110718057B (en) * | 2019-09-11 | 2021-06-15 | 北京掌行通信息技术有限公司 | Road network operation state evaluation method and device, electronic equipment and medium |
| CN110929179B (en) * | 2019-11-05 | 2023-06-09 | 阿里巴巴集团控股有限公司 | Travel data processing method and device and electronic equipment |
| CN110929179A (en) * | 2019-11-05 | 2020-03-27 | 阿里巴巴集团控股有限公司 | Travel data processing method and device and electronic equipment |
| CN110992689A (en) * | 2019-11-28 | 2020-04-10 | 北京世纪高通科技有限公司 | Congestion feature determination method and device |
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| CN110930713A (en) * | 2020-02-07 | 2020-03-27 | 北京交研智慧科技有限公司 | Historical reproduction rate-based road frequent congestion identification method, device and equipment |
| CN111723169A (en) * | 2020-04-09 | 2020-09-29 | 腾讯科技（深圳）有限公司 | Map display method and device, electronic equipment and storage medium |
| 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 |
| CN112216103A (en) * | 2020-09-11 | 2021-01-12 | 深圳市朗尼科智能股份有限公司 | Urban traffic optimization method and system |
| CN113257002A (en) * | 2021-05-11 | 2021-08-13 | 青岛海信网络科技股份有限公司 | Peak start time prediction method, device, equipment and medium |
| CN114973674A (en) * | 2022-05-24 | 2022-08-30 | 阿里云计算有限公司 | Traffic jam treatment method, device, equipment and storage medium |
| CN115691151A (en) * | 2022-12-29 | 2023-02-03 | 浙江大华技术股份有限公司 | Lane congestion prompting method, lane congestion prompting system and terminal |
| CN118155425A (en) * | 2024-05-11 | 2024-06-07 | 四川智能交通系统管理有限责任公司 | Clustering-based real-time traffic congestion prediction method and device |
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