CN106991813A - One class turn around vehicle and turn to limitation intersection flux and flow direction projectional technique - Google Patents

One class turn around vehicle and turn to limitation intersection flux and flow direction projectional technique Download PDF

Info

Publication number
CN106991813A
CN106991813A CN201710338060.8A CN201710338060A CN106991813A CN 106991813 A CN106991813 A CN 106991813A CN 201710338060 A CN201710338060 A CN 201710338060A CN 106991813 A CN106991813 A CN 106991813A
Authority
CN
China
Prior art keywords
intersection
flow
traffic
flux
turn
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710338060.8A
Other languages
Chinese (zh)
Inventor
王炜
卢慕洁
魏雪延
范琪
梁鸣璋
屠雨
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Southeast University
Original Assignee
Southeast University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Southeast University filed Critical Southeast University
Priority to CN201710338060.8A priority Critical patent/CN106991813A/en
Publication of CN106991813A publication Critical patent/CN106991813A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides a class turn around vehicle and turn to limitation intersection flux and flow direction projectional technique, comprise the following steps：（1）The section present situation magnitude of traffic flow is obtained by Road Detection and monitoring system or section future traffic flow is obtained by Traffic Demand Forecasting；（2）Obtain intersection historical summary；（3）Check intersection entrance driveway flow and with exit ramp flow and whether meeting equilibrium condition, unbalanced intersection progress flux modification；（4）According to postulate of equal a priori probabilities, and consider intersection turn around vehicle and turn to limit, determine intersection flux and flow direction iteration initial value；（5）Each Turning movement interative computation of intersection is carried out using growth factor methed；It is of the invention efficiently, it is practical and accurate, it is to avoid the triviality and inefficiencies of conventional cross mouthful flow manual research method, provide reliable technical foundation for traffic administration, planning and the construction of city virtual traffic system test platform.

Description

One class turn around vehicle and turn to limitation intersection flux and flow direction projectional technique
Technical field
The invention belongs to traffic programme and traffic administration and control field, and in particular to a class turn around vehicle and turn to limit Intersection flux and flow direction projectional technique.
Background technology
In recent years, many traffic behaviors such as traffic congestion and traffic accident turn into main the asking of restriction China urban development Topic, and intersection is as the bottleneck of transportation network, is to cause a series of root place of this traffic problems.Intersection flow Flow direction is the important parameter for carrying out the work such as Intersection Controlling Fashion determination, geometry designs, Ramp Design and signaling plan setting Foundation, flow to intersection and flows to feature and makes reasonable, accurate prediction, and the management and control to whole road network have There is important realistic meaning, be the key for solving urban transport problems.
For transportation network present situation traffic census, link counting can be obtained by detecting system and monitoring system, And Turning movement then needs to obtain by intersection flow direction observation, the flow direction observation of progress intersection is considerably complicated, especially many Road intersection and traffic circle；For the prediction of transportation network future transportation amount, various traffic assignation algorithms are general all by emphasis It is placed on link counting, it is impossible to obtain the steering flow of intersection, intersection future transportation is obtained by artificial observation Each steering flow is even more nowhere referred to.
In order to avoid the manual research mode by time-consuming, laborious, high cost respectively turns to obtain present situation intersection Flow and the accurate reckoning each steering flow in future trajectory intersection, enrich urban transportation in the virtual traffic system test platform of city Management control is visual to quantify test function, the intersection traffic management of Optimizing City road network and control strategy, and one kind is utilized The intersection import and export volume of traffic that easily obtains simultaneously considers intersection and turns around vehicle ratio and to turn to limitation management letter Cease to calculate that the technology of each Turning movement of intersection just seems particularly necessary.The present invention proposes a class for this and considers to turn around Vehicle and the intersection flux and flow direction projectional technique for turning to limitation.
The content of the invention
To solve the above problems, the invention discloses a class turn around vehicle and turn to limitation intersection flux and flow direction Projectional technique, it is to avoid intersection steering flow is obtained by traditional manual research mode, saves investigation cost, utilizes Intersection entrance driveway and exit ramp data on flows, accurately obtaining urban road intersection by the method for iteration, each is turned to Flow, for preferably serving urban highway traffic planning and management.
To reach above-mentioned purpose, technical scheme is as follows：
One class turn around vehicle and turn to limitation intersection flux and flow direction projectional technique, comprise the following steps：
(A) the section present situation magnitude of traffic flow is obtained by Road Detection and monitoring system or obtained by Traffic Demand Forecasting Section future traffic flow；
Here following four parameters are included：Intersection numbering k, k intersections import and export road number R [k], k intersections I entrance driveway total flows Oi, k intersections j exit ramp total flows Dj, (i, j=1,2 ..., R [k])；
If research purpose is each steering flow value of acquisition intersection present situation, need by Road Detection and monitoring System obtains the unidirectional present situation magnitude of traffic flow in each section of traffic network；If research purpose turns to obtain following each of intersection Flow value, then need to obtain the unidirectional future traffic flow in each section of traffic network by Traffic Demand Forecasting.
(B) obtain intersection historical summary, including each entrance driveway turn around vehicle ratio and intersection turning limitation pipe Prosecutor case；
Here following two parameters are included：K intersections i entrance driveway turns around vehicle ratio PUi, the limitation management and control of k intersection turnings (nonimportation road i turns to exit ramp j), (i, j=1,2 ..., R [k]) for scheme T (i, j)=0.
(C) intersection entrance driveway flow is checked and with exit ramp flow and whether meeting equilibrium condition, it is unbalanced Intersection carries out flux modification；
In general, vehicle can not be stopped in intersection, and this also requires each entrance driveway volume of traffic sum in intersection It is equal with each exit ramp volume of traffic sum, it is equal to intersection total wheel traffic.To intersection entrance driveway flow and with outlet Road flow and checked and included the step of correction：
(C1) judge intersection entrance driveway flow and with exit ramp flow and whether equal；
Here following two parameters are included：Crossing inlet road volume of traffic ∑iNEnter i, intersection exit road volume of traffic ∑jNGo out j；
(C2) entrance driveway flow and flux modification is carried out with exit ramp flow and unequal intersection；
The step of flux modification, includes：
(C21) calculate crossing inlet road flow and subtract the difference of exit ramp flow sum；
(C22) according to postulate of equal a priori probabilities, each entrance driveway flow subtracts institute in its ratio for accounting for whole entrance driveway total flows State the half of the difference obtained in step (C21)；
(C23) according to postulate of equal a priori probabilities, each exit ramp flow adds institute in its ratio for accounting for whole exit ramp total flows State the half of the difference obtained in step (C21).
(D) according to postulate of equal a priori probabilities, and consider intersection turn around vehicle and turn to limit, determine intersection traffic flow To iteration initial value, comprise the following steps：
(D1) assume to turn to the steering vehicle flowrate and corresponding exit ramp vehicle flowrate of other exit ramps into just by a certain entrance driveway Than determining iteration initial value 1；
For import i, its inlet flow rate is NEnter i, the vehicle ratio that turns around is PUi, for outlet j, its rate of discharge is NGo out j, Import i is determined by following formula, and each turns to vehicle flowrate(i, j, q=1,2 ..., R [k])；
(D2) assume to turn to the steering vehicle flowrate of a certain exit ramp by other entrance driveway and respective inlets road vehicle flowrate (is deducted Turn around vehicle) it is directly proportional, determine iteration initial value 2；
For import i, its inlet flow rate is NEnter i, for outlet j, its rate of discharge is NGo out j, determined to export j by following formula Each turns to vehicle flowrate(i, j, q=1,2 ..., R [k])；
(D3) iteration initial value 1 and iteration initial value 2 take arithmetic mean of instantaneous value；
(D4) with turning to restricted information according to the intersection acquired in step (B), (nonimportation road i turns to exit ramp J), the vehicle flowrate T turned to will be limited0(i, j) is adjusted to 0, it is determined that final each steering vehicle flowrate iteration initial value.
(E) each Turning movement interative computation of intersection is carried out using growth factor methed, comprised the following steps：
(E1) acceptable required precision is given；
Precision ε values are 0.0001 or more hour has been able to meet the requirement of engineering practice；
(E2) select a kind of growth factor algorithm and carry out intersection flux and flow direction iterative calculation, comprise the following steps：
(E21) iterations m=0 is made；
(E22) U in the flux and flow direction table of intersection is giveni、VjAnd X；
(E23) determine in current intersection flux and flow direction tableAnd Tm；
(E24) growth rate of each entrance driveway and each exit ramp volume of traffic is soughtWith
(E25) approximation of the m+1 times each Turning movement is sought
(E26) convergence judges；
(condition 1)
(condition 2)
In formula：
Ui：I entrance driveway total wheel traffics；
Vj：J exit ramp total wheel traffics；
X：Intersection total wheel traffic；
I entrance driveway drives towards the volume of traffic of the m times iteration of j exit ramps；
The total wheel traffic of the m times iteration of i entrance driveway；
The total wheel traffic of the m times iteration of j exit ramps；
Tm：The total wheel traffic of the iteration of intersection the m times；
The growth factor of the m times iteration of i entrance driveway；
The growth factor of the m times iteration of j exit ramps；
ε：Any given error constant；
Required if the condition of convergence 1 and 2 is met, stop iteration；Otherwise, m=m+1 is made, return to step (E23) continues to change Generation；
(E3) meet and stop iteration after required precision, the output result of last time iteration is that intersection flux and flow direction is pushed away Calculate result.
Growth factor algorithm in the step (E2), according to functionSpecies it is different, can be divided into average Growth factor methed, Detroit method, Follett, Mary Parker method and Buddhist Nice method, tell about separately below：
1st, balanced growth Y-factor method Y
Balanced growth Y-factor method Y assumes intersection each Turning movement tijGrowth factor be the i entrance driveway volume of traffic and j The average value of exit ramp volume of traffic growth factor.Model formation is：
2nd, Detroit method
Detroit method assumes intersection each Turning movement tijGrowth factor and the i entrance driveway volume of traffic and j exit ramps The product of volume of traffic growth factor is directly proportional, and is inversely proportional with the growth factor of intersection total wheel traffic.Model formation is：
3rd, Follett, Mary Parker method
Follett, Mary Parker method assumes intersection each Turning movement tijGrowth factor not only with the i entrance driveway volume of traffic increase be Number is relevant with j exit ramp volume of traffic growth factors, and the growth factor also with other import and export road volume of traffic of whole intersection has Close.Model formation is：
In formula, Li、LjThe position parameter in respectively i, j import and export road.
4th, Buddhist Nice method
Buddhist Nice method assumes intersection each Turning movement tijGrowth factor and i entrance driveway volume of traffic growth factors and J exit ramp volume of traffic growth factors have relation.Model formation is：
The above-mentioned technical proposal of the present invention has advantages below compared with prior art：
(1) present invention passes through iteration using the intersection entrance driveway and the exit ramp volume of traffic that are easier to obtain Method, which is calculated, meets each Turning movement of the intersection of required precision, it is to avoid obtained by traditional manual research mode Intersection steering flow, has saved substantial amounts of investigation cost.
(2) present invention enters during each steering traffic of intersection is calculated to the intersection for being unsatisfactory for equilibrium condition Mouth road and exit ramp flow are corrected, and determine to consider turn around vehicle and intersection during the flux and flow direction iteration initial value of intersection Limitation is turned to, the accuracy of flux and flow direction calculating is improved.
(3) present invention summarizes that a class is efficient, practical and accurate acquisition urban road intersection each steering flow Method, can serve well urban highway traffic planning with management, be building for city virtual traffic system test platform If there is provided reliable technical foundation.
Brief description of the drawings
Fig. 1 is the flow chart of the inventive method；
Fig. 2 is the flow chart of determination iteration initial value method in the present invention；
Fig. 3 is the flow chart of growth factor algorithm in the present invention.
Embodiment
With reference to the accompanying drawings and detailed description, the present invention is furture elucidated.
【Example】Certain known simple intersection import and export in future road predicting traffic flow scale (table 1), the wherein He of entrance driveway 1 Entrance driveway 3 there are 5% vehicle that turns around, and the banning of turning movement exit ramp 3 of entrance driveway 2, the banning of turning movement exit ramp 1 of entrance driveway 4 is utilized Follett, Mary Parker method solves the magnitude of traffic flow flow chart in simple intersection future, sets convergence as ε=1%.
Table import and export in 1 future road traffic flow scale (unit：/ hour)
As shown in figure 1, a class considers to turn around vehicle and turns to the intersection flux and flow direction projectional technique limited, including Following steps：
(A) the section present situation magnitude of traffic flow is obtained by Road Detection and monitoring system or obtained by Traffic Demand Forecasting Section future traffic flow；
The research purpose of example is to obtain each following steering flow value of intersection, it is therefore desirable to pass through transport need Prediction obtains the unidirectional future traffic flow in each section of traffic network.Intersection numbering is 1, intersection import and export road number R [1]=4, intersection i entrance driveway total flows Oi, intersection j exit ramp total flows DjRefer to table 1 (i, j=1,2,3,4).
(B) obtain intersection historical summary, including each entrance driveway turn around vehicle ratio and intersection turning limitation pipe Prosecutor case；
According to historical summary, the crossing inlet road 1 and entrance driveway 3 there are 5% vehicle that turns around, i.e. PU1=5%, PU3=5%；The banning of turning movement exit ramp 3 of entrance driveway 2, the banning of turning movement exit ramp 1 of entrance driveway 4, i.e. T (2,3)=0, T (4,1)=0.
(C) intersection entrance driveway flow is checked and with exit ramp flow and whether meeting equilibrium condition, it is unbalanced Intersection carries out flux modification；
In general, vehicle can not be stopped in intersection, and this also requires each entrance driveway volume of traffic sum in intersection It is equal with each exit ramp volume of traffic sum, it is equal to intersection total wheel traffic.To intersection entrance driveway flow and with outlet Road flow and checked and included the step of correction：
(C1) judge intersection entrance driveway flow and with exit ramp flow and whether equal；
Arranged from table 1 the 7th, the simple intersection entrance driveway volume of traffic ∑iNEnter iWith exit ramp volume of traffic ∑jNGo out jIt is discontented Sufficient equilibrium relation is, it is necessary to be corrected；
(C2) entrance driveway flow and flux modification is carried out with exit ramp flow and unequal intersection；
The step of flux modification, includes：
(C21) calculate crossing inlet road flow and subtract the difference of exit ramp flow sum；
(C22) according to postulate of equal a priori probabilities, each entrance driveway flow subtracts institute in its ratio for accounting for whole entrance driveway total flows State the half of the difference obtained in step (C21)；
(C23) according to postulate of equal a priori probabilities, each exit ramp flow adds institute in its ratio for accounting for whole exit ramp total flows State the half of the difference obtained in step (C21).
The import and export road volume of traffic in intersection obtains table 2 after being adjusted.
Import and export in future road traffic flow scale (unit after table 2 is balanced：/ hour)
(D) according to postulate of equal a priori probabilities, and consider intersection turn around vehicle and turn to limit, determine intersection traffic flow To iteration initial value, as shown in Fig. 2 comprising the following steps：
(D1) assume to turn to the steering vehicle flowrate and corresponding exit ramp vehicle flowrate of other exit ramps into just by a certain entrance driveway Than determining iteration initial value 1；
For import i, its inlet flow rate is NEnter i, the vehicle ratio that turns around is PUi, for outlet j, its rate of discharge is NGo out j, Import i is determined by following formula, and each turns to vehicle flowrate(i, j, q=1,2 ..., R [k])；
Intersection PU1=5%, PU2=0；PU3=5%, PU4=0, at the beginning of determining intersection flux and flow direction iteration using above formula Initial valueTable 3 is obtained after calculating；
(the unit of 3 intersection flux and flow direction iteration initial value of table 1：/ hour)
(D2) assume to turn to the steering vehicle flowrate of a certain exit ramp by other entrance driveway and respective inlets road vehicle flowrate (is deducted Turn around vehicle) it is directly proportional, determine iteration initial value 2；
For import i, its inlet flow rate is NEnter i, for outlet j, its rate of discharge is NGo out j, determined to export j by following formula Each turns to vehicle flowrate(i, j, q=1,2 ..., R [k])；
Intersection PU1=5%, PU2=0；PU3=5%, PU4=0, at the beginning of determining intersection flux and flow direction iteration using above formula Initial valueTable 4 is obtained after calculating；
(the unit of 4 intersection flux and flow direction iteration initial value of table 2：/ hour)
Entry/exit 1 2 3 4 It is total
1 129 470 1296 563 2458
2 730 0 818 355 1904
3 1295 527 145 630 2597
4 876 357 982 0 2215
It is total 3031 1354 3241 1548 9174
(D3) iteration initial value 1 and iteration initial value 2 take arithmetic mean of instantaneous value；
Intersection flux and flow direction iteration initial value T is determined using above formula0(i, j), obtains table 5 after calculating；
The intersection flux and flow direction iteration initial value (unit of table 5：/ hour)
Entry/exit 1 2 3 4 It is total
1 129 513 1282 598 2523
2 664 0 728 337 1728
3 1336 585 145 682 2748
4 806 350 883 0 2039
It is total 2935 1447 3038 1617 9037
(D4) with turning to restricted information according to the intersection acquired in step (B), (nonimportation road i turns to exit ramp J), the vehicle flowrate T turned to will be limited0(i, j) is adjusted to 0, it is determined that final each steering vehicle flowrate iteration initial value；
The banning of turning movement exit ramp 3 of crossing inlet road 2, the banning of turning movement exit ramp 1 of entrance driveway 4, i.e. T (2,3)=0, T (4,1)=0, by T0(2,3) and T0(4,1) are adjusted to 0, determine the final iteration initial value T of intersection flux and flow direction0(i, j), Table 6 is obtained after calculating.
The final iteration initial value (unit of the intersection flux and flow direction of table 6：/ hour)
Entry/exit 1 2 3 4 It is total
1 129 513 1282 598 2523
2 664 0 0 337 1000
3 1336 585 145 682 2748
4 0 350 883 0 1233
It is total 2129 1447 2310 1617 7504
(E) each Turning movement interative computation of intersection is carried out using growth factor methed, comprised the following steps：
(E1) acceptable required precision is given；
The required precision that this example is set is ε=1%；
(E2) select Follett, Mary Parker method and carry out intersection flux and flow direction iterative calculation, as shown in figure 3, comprising the following steps：
(E21) each entrance driveway volume of traffic growth factor is soughtEach exit ramp volume of traffic growth factorAnd intersection is each The position parameter of steering
The import and export road volume of traffic growth factor of table 7 and the position parameter table of each steering
(E22) table 8 is obtained after calculating；
Table 8 first time iteration magnitude of traffic flow flow chart (unit：/ hour)
(E23) each entrance driveway volume of traffic growth factor is sought againEach exit ramp volume of traffic growth factorAnd intersect The position parameter that mouth is respectively turned to
The import and export road volume of traffic growth factor of table 9 and the position parameter table of each steering
(E24) convergence judges；
Due toWithPart coefficient is more than 1% error, it is therefore desirable to re-start iteration；
(E25) table 10 is obtained after calculating；
Second of the iteration magnitude of traffic flow flow chart (unit of table 10：/ hour)
OD 1 2 3 4 It is total
1 152 433 1483 520 2587
2 1130 0 0 422 1552
3 1616 505 172 607 2901
4 0 417 1443 0 1860
It is total 2899 1356 3097 1549 8900
(E26) each entrance driveway volume of traffic growth factor is sought againEach exit ramp volume of traffic growth factorAnd intersect The position parameter that mouth is respectively turned to
The import and export road volume of traffic growth factor of table 11 and the position parameter table of each steering
(E27) convergence judges；
WithEvery system errors be respectively less than 1%；
(E3) meet and stop iteration after required precision, the output result table 10 of last time iteration is the simple intersection Future traffic flow direction calculates result.
It should be pointed out that examples detailed above is only intended to clearly illustrate example, and the not restriction to embodiment. For those of ordinary skill in the field, other various forms of changes can also be made on the basis of the above description Or change.There is no necessity and possibility to exhaust all the enbodiments.And the obvious change thus extended out Or among changing still in the protection domain of the invention.

Claims (4)

  1. Vehicle and the intersection flux and flow direction projectional technique of steering limitation 1. a class turns around, it is characterised in that：Including following Step：
    （A）The section present situation magnitude of traffic flow is obtained by Road Detection and monitoring system or section is obtained by Traffic Demand Forecasting Future traffic flow；
    （B）Obtain intersection historical summary, including each entrance driveway turn around vehicle ratio and intersection turning limitation management and control side Case；
    （C）Check intersection entrance driveway flow and with exit ramp flow and whether meeting equilibrium condition, unbalanced intersection Mouth carries out flux modification；
    （D）According to postulate of equal a priori probabilities, and consider intersection turn around vehicle and turn to limit, determine that intersection flux and flow direction changes For initial value；
    （E）Each Turning movement interative computation of intersection is carried out using growth factor methed.
  2. Vehicle and the intersection flux and flow direction projectional technique of steering limitation 2. a class according to claim 1 turns around, It is characterized in that：
    The step（A）In, if research purpose is each steering flow value of acquisition intersection present situation, need by road Detection and monitoring system obtain the unidirectional present situation magnitude of traffic flow in each section of traffic network；If research purpose is to obtain intersection not Carry out each steering flow value, then need to obtain the unidirectional future traffic flow in each section of traffic network by Traffic Demand Forecasting；
    The step（C）Comprise the following steps：
    （C1）Judge intersection entrance driveway flow and with exit ramp flow and whether equal；
    （C2）Entrance driveway flow and carry out flux modification with exit ramp flow and unequal intersection；
    The step（D）Comprise the following steps：
    （D1）Assuming that the steering vehicle flowrate for turning to other exit ramps by a certain entrance driveway is directly proportional to corresponding exit ramp vehicle flowrate, really Determine iteration initial value 1；
    （D2）Assuming that turning to the steering vehicle flowrate and respective inlets road vehicle flowrate of a certain exit ramp by other entrance driveway（Deduction turns around Vehicle）It is directly proportional, determines iteration initial value 2；
    （D3）Iteration initial value 1 and iteration initial value 2 take arithmetic mean of instantaneous value；
    （D4）With according to step（B）Acquired intersection turns to restricted information, and the vehicle flowrate for limiting steering is adjusted into zero, It is determined that final each steering vehicle flowrate iteration initial value；
    The step（E）Comprise the following steps：
    （E1）Given acceptable required precision；
    （E2）A kind of selected growth factor algorithm carries out intersection flux and flow direction iterative calculation；
    （E3）Meet and stop iteration after required precision, the output result of last time iteration is that intersection flux and flow direction calculates knot Really.
  3. 3. according to claim 2 a class turn around vehicle and turn to limitation intersection flux and flow direction projectional technique, its It is characterised by：Step（C2）In flow correction method, comprise the following steps：
    （C21）Calculate crossing inlet road flow and subtract the difference of exit ramp flow sum；
    （C22）According to postulate of equal a priori probabilities, each entrance driveway flow subtracts the step in its ratio for accounting for whole entrance driveway total flows Suddenly（C21）In the obtained half of difference；
    （C23）According to postulate of equal a priori probabilities, each exit ramp flow adds the step in its ratio for accounting for whole exit ramp total flows Suddenly（C21）In the obtained half of difference.
  4. 4. according to claim 2 a class turn around vehicle and turn to limitation intersection flux and flow direction projectional technique, its It is characterised by：The step（E2）In growth factor algorithm, including balanced growth Y-factor method Y, Detroit method, Follett, Mary Parker method and Buddhist Nice method.
CN201710338060.8A 2017-05-15 2017-05-15 One class turn around vehicle and turn to limitation intersection flux and flow direction projectional technique Pending CN106991813A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710338060.8A CN106991813A (en) 2017-05-15 2017-05-15 One class turn around vehicle and turn to limitation intersection flux and flow direction projectional technique

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710338060.8A CN106991813A (en) 2017-05-15 2017-05-15 One class turn around vehicle and turn to limitation intersection flux and flow direction projectional technique

Publications (1)

Publication Number Publication Date
CN106991813A true CN106991813A (en) 2017-07-28

Family

ID=59421084

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710338060.8A Pending CN106991813A (en) 2017-05-15 2017-05-15 One class turn around vehicle and turn to limitation intersection flux and flow direction projectional technique

Country Status (1)

Country Link
CN (1) CN106991813A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108198438A (en) * 2018-02-08 2018-06-22 广东行远信息技术有限公司 A kind of heuristic missing road traffic projectional technique based on upstream and downstream intersection vehicle flux
CN108877219A (en) * 2018-07-04 2018-11-23 长沙理工大学 A kind of left back traffic flow branch prediction method of urban intersection taboo
CN109993980A (en) * 2019-02-21 2019-07-09 平安科技（深圳）有限公司 Traffic flow forecasting method, device, computer equipment and storage medium
CN111275975A (en) * 2020-02-28 2020-06-12 清华大学 Method and device for acquiring intersection turning flow data and storage medium
CN111680377A (en) * 2020-06-11 2020-09-18 杭州海康威视数字技术股份有限公司 Traffic situation simulation method and system and electronic equipment
CN112687104A (en) * 2020-12-30 2021-04-20 西南交通大学 Method and device for solving problem of infinite-dimension traffic distribution

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1057155B1 (en) * 1998-01-30 2004-01-02 Dinbis AB Method and means for network control of traffic
CN105070042A (en) * 2015-07-22 2015-11-18 济南市市政工程设计研究院（集团）有限责任公司 Modeling method of traffic prediction
CN105205546A (en) * 2015-08-12 2015-12-30 东南大学 Real-time estimation method for turning proportion of level crossing of urban roads
CN106128103A (en) * 2016-07-26 2016-11-16 北京市市政工程设计研究总院有限公司 A kind of intersection Turning movement distribution method based on recursion control step by step and device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1057155B1 (en) * 1998-01-30 2004-01-02 Dinbis AB Method and means for network control of traffic
CN105070042A (en) * 2015-07-22 2015-11-18 济南市市政工程设计研究院（集团）有限责任公司 Modeling method of traffic prediction
CN105205546A (en) * 2015-08-12 2015-12-30 东南大学 Real-time estimation method for turning proportion of level crossing of urban roads
CN106128103A (en) * 2016-07-26 2016-11-16 北京市市政工程设计研究总院有限公司 A kind of intersection Turning movement distribution method based on recursion control step by step and device

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108198438A (en) * 2018-02-08 2018-06-22 广东行远信息技术有限公司 A kind of heuristic missing road traffic projectional technique based on upstream and downstream intersection vehicle flux
CN108198438B (en) * 2018-02-08 2020-02-07 广东行远信息技术有限公司 Heuristic missing road vehicle flow calculation method based on upstream and downstream intersection vehicle flow
CN108877219A (en) * 2018-07-04 2018-11-23 长沙理工大学 A kind of left back traffic flow branch prediction method of urban intersection taboo
CN108877219B (en) * 2018-07-04 2020-12-22 长沙理工大学 Traffic flow diversion prediction method after left-forbidden intersection of city
CN109993980A (en) * 2019-02-21 2019-07-09 平安科技（深圳）有限公司 Traffic flow forecasting method, device, computer equipment and storage medium
CN111275975A (en) * 2020-02-28 2020-06-12 清华大学 Method and device for acquiring intersection turning flow data and storage medium
CN111680377A (en) * 2020-06-11 2020-09-18 杭州海康威视数字技术股份有限公司 Traffic situation simulation method and system and electronic equipment
CN111680377B (en) * 2020-06-11 2024-02-09 杭州海康威视数字技术股份有限公司 Traffic situation simulation method, system and electronic equipment
CN112687104A (en) * 2020-12-30 2021-04-20 西南交通大学 Method and device for solving problem of infinite-dimension traffic distribution

Similar Documents

Publication Publication Date Title
CN106991813A (en) One class turn around vehicle and turn to limitation intersection flux and flow direction projectional technique
CN108197739B (en) Urban rail transit passenger flow prediction method
CN104574967B (en) A kind of city based on Big Dipper large area road grid traffic cognitive method
CN104464320B (en) Based on true road network characteristic and the shortest path abductive approach of dynamic travel time
KR101385057B1 (en) Prediction of urban congestion using ITS based data
CN104699956B (en) A kind of main line green wave coordination effect evaluation method based on mobile terminal
CN102855386B (en) Footway and non-motorized vehicle lane evaluating method and device
CN109993223A (en) Pavement Condition prediction technique, storage medium, electronic equipment
CN107563566B (en) Inter-bus-station operation time interval prediction method based on support vector machine
CN108021686B (en) Method for quickly matching bus routes and road networks in electronic map
CN105938505B (en) A kind of method for arranging of water supply network pressure detecting point
CN104866654A (en) Construction method for integrated dynamic traffic simulation platform of city
CN106503382A (en) A kind of city road planning method and device
CN108417039B (en) A kind of signalized intersections transport need evaluation method that traffic flow composition influences
CN107085943A (en) A kind of road travel time short term prediction method and system
CN106875734B (en) A kind of method and device of push parking route
CN103606274A (en) Urban road traffic state assessment method
CN115344972A (en) Method for optimizing signal timing of special road position and intersection for man-machine hybrid driving automatic driving
CN105894814A (en) Joint optimization method and system for multiple traffic management and control measures in consideration of environmental benefits
CN106952484A (en) Road network thresholding control based on macroscopical parent map
CN101739822A (en) Sensor network configuring method for regional traffic state acquisition
CN110415514A (en) A kind of intersection lane prioritization scheme selection method, device and storage medium
CN112967493A (en) Neural network-based prediction method for vehicle passing intersection travel time
CN108877219A (en) A kind of left back traffic flow branch prediction method of urban intersection taboo
CN108985518A (en) A kind of traffic congestion charging policy optimization method based on VISSIM emulation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20170728

RJ01 Rejection of invention patent application after publication