CN105844915A - Method for determining traffic flow fundamental diagram in variable speed limit control state - Google Patents
Method for determining traffic flow fundamental diagram in variable speed limit control state Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
Abstract
A method for determining a traffic flow fundamental diagram in a variable speed limit control state is disclosed. An induction type wire coil is used for continuously collecting traffic flow magnitude and density at all stake marks on a high speed road in the variable speed limit control state. Collected data is subjected to pre-processing operation, an optimal linear fitting method is adopted for fitting the data, and traffic flow fundamental diagrams corresponding to different variable speed limit control states are obtained. A real time traffic flow state can be determined based on traffic flow density collected in real time and the variable speed limit control state; a corresponding state transfer diagram is drafted on the traffic flow fundamental diagram in a corresponding variable speed limit control state. The method for determining the traffic flow fundamental diagram in the variable speed limit control state helps solve a problem that analysis of traffic flow characteristics in the variable speed limit control state is not available in a conventional traffic flow fundamental diagram; special-purpose analysis is performed on traffic data in the variable speed limit control state, a mechanism for influence exerted on traffic flow by the variable speed limit control is effectively reflected in the traffic flow fundamental diagram, and variable speed limit control strategies based on the traffic flow fundamental diagram in the variable speed limit control state can have great benefits.
Description
Technical field
The invention belongs to traffic analysis technical field, particularly relate to a kind of determination method that based on variable speed-limit, the variable speed-limit of influence on traffic flow is controlled lower traffic flow parent map.
Background technology
Along with increasing through street uses variable speed-limit to control this dynamic traffic control strategy, variable speed-limit controls the discussion of the traffic flow traffic capacity and the Influencing Mechanism of traffic flow parent map is become ever more important.Recent research result shows that variable speed-limit controls to be not result in that the traffic capacity promotes, but variable speed-limit controls crucial density corresponding to lower maximum stream flow or crucial occupation rate changes；Meanwhile, variable speed-limit controls influence on traffic flow under congestion status little, mainly the traffic flow speed under freestream conditions is produced impact.Under the change of above-mentioned crucial density and freestream conditions, the change of traffic flow speed all can produce impact to traffic flow parent map shape.Therefore, based on the traffic stream characteristics under controlling for variable speed-limit under variable speed-limit control, it is proposed for the determination method that variable speed-limit controls the traffic flow parent map of lower traffic stream characteristics, it is possible to the more targeted traffic stream characteristics portrayed under variable speed-limit controls and traffic behavior transfer case.
Rather rough in the determination method of China's traffic flow parent map at present, the main traditional triangle shape traffic flow parent map shape used in traffic flow basic theories.But lack of variable speed-limit and control the determination method of the traffic flow parent map after lower traffic flow modes changes.Owing to variable speed-limit Influencing Mechanism to be understood the not enough traffic flow parent map caused under the control of unscientific variable speed-limit determines method so that the effect that variable speed-limit based on this controls thinking and control strategy is the most undesirable, is even also possible to produce negative effect.The present invention proposes to control the variable speed-limit to influence on traffic flow based on variable speed-limit and controls the new method that lower traffic flow parent map is drawn, compare existing traffic flow parent map and determine that method has more specific aim, it is that the traffic flow data under controlling based on variable speed-limit is determined, having taken into full account that variable speed-limit controls the Influencing Mechanism to traffic flow, the traffic flow data under controlling with variable speed-limit is combined closely with characteristic.
Summary of the invention
The problem to be solved in the present invention is: variable speed-limit controls influence on traffic flow mechanism to be to determine the key that variable speed-limit controls effect, understanding to variable speed-limit Influencing Mechanism was not enough in the past, existing traffic flow parent map determines that method does not account for for the traffic stream characteristics under variable speed-limit control, there is deviation with actual traffic stream mode.The present invention proposes a kind of to control the traffic flow parent map of through street traffic flow influence on system operation mechanism is determined method based on variable speed-limit, gather the initial traffic flow running rate under different variable speed-limit control strategy, based on traditional triangle shape traffic flow parent map shape, set up the traffic flow parent map constant current journey really under through street variable speed-limit controls.Before overcoming, variable speed-limit controls to lack during lower traffic flow parent map determines to consider that variable speed-limit controls the theoretical defects to influence on traffic flow mechanism with not enough.
Technical solution of the present invention is:
The present invention proposes a kind of scientific and reasonable variable speed-limit and controls the determination method of lower traffic flow parent map, based on traditional triangle shape traffic flow parent map shaped frame, data under controlling for variable speed-limit are analyzed, take into full account that variable speed-limit controls the Influencing Mechanism to traffic flow, scientific and reasonable design variable speed-limit is controlled thinking and control strategy is significant, overcome during conventional traffic flow parent map determines random big, subjectivity is strong and lacks the deficiency considering that variable speed-limit controls this control strategy.Example shows, the method to set up that the present invention proposes has good effect, is better than conventional method to set up.
Accompanying drawing explanation
Fig. 1 is that traffic flow parent map of the present invention draws flow process.
Fig. 2 is Vehicle Speed distribution scatterplot under different controlled state.
Fig. 3 is traffic flow parent map comparison diagram before and after variable speed-limit control.
When Fig. 4 is for deferring to completely, variable speed-limit controls lower traffic flow basic diagram intention.
Fig. 5 is variable speed-limit control traffic flow basic diagram intention under the conditions of actual deferring to.
Fig. 6 is traffic behavior transfer figure under Different Traffic Flows state.
Fig. 7 is without the traffic flow parent map under variable speed-limit control and 100km/h speed limit.
Fig. 8 is traffic flow parent map under different speed limits in example.
Fig. 9 is the state transition diagram that in example, current time traffic flow is corresponding.
Detailed description of the invention
The present invention is to control influence on traffic flow mechanism based on variable speed-limit, for the initial traffic flow running rate of difference on the basis of traditional triangle shape traffic flow parent map shape, set up variable speed-limit and control the process of traffic behavior transfer under traffic flow running rate initial to difference, obtain variable speed-limit and control the variation tendency of lower traffic behavior.Thus obtain the traffic flow parent map under variable speed-limit controls under different initial traffic flow running rate.Variable speed-limit controls lower traffic flow parent map drafting flow process and refers to Fig. 1.
The first step is traffic flow and the density data periodically gathering the through street that many groups use variable speed-limit to control.Concrete grammar is, arrange at a certain pile No. of through street inductive circular loop detector recording by each car of detector location by information such as time, travel speed, time headway and Vehicle lengths, time span need to comprise variable speed-limit control time and without variable speed-limit control time simultaneously.In dividing variable speed-limit value to carry out integrated respectively obtaining these 5 minutes the every 5 minutes information to being collected, the traffic flow at this pile No. under different speed limits and density, record current time, weather conditions and variable speed-limit controlled state simultaneously.If being in non-variable Control for Speed Limitation state, being designated as NVSL, if being in variable speed-limit controlled state, recording current speed limit.From this raw data base, choose state of weather good (without misty rain), visual condition good (non-night), the data of road geometrical condition good (non-interwoven district), whether selected data are in the data under variable speed-limit controls according to it and different speed limits is sorted out.
Second step is to carry out variable speed-limit for the data got in the first step to control the analysis of lower traffic stream characteristics.Controlling to be analyzed the impact of time headway and vehicle average speed from variable speed-limit, under the different speed limit of analysis simultaneously, driver is to variable speed-limit control degree of deferring to.First, draw the vehicle head interval distribution of vehicle head interval distribution map analysis vehicle under different controlled state, it appeared that vehicle head interval distribution curve approximation obeys bell-shaped distribution in the case of Ge, particularly, controlling lower vehicle head interval distribution without variable speed-limit more uneven, adjacent time headway ratio difference controls lower big than variable speed-limit.Time headway average under relatively controlling with or without variable speed-limit and standard deviation, result is as shown in table 1:
Time headway statistical information under the different speed limit of table 1
Under major part variable speed-limit value, time headway average and standard deviation are below without control state.Result shows that variable speed-limit controls to make driving behavior more consistent, and evenly, traffic flow stability improves vehicle head interval distribution.Secondly, drawing vehicle velocity contour under different controlled state and analyze speed distribution, it appeared that individual car speed is distributed all close to being distributed the most very much under each controlled state, it is more flat that variable speed-limit controls lower distribution curve, and speed is more evenly distributed in each interval.The average of the car speed under relatively controlling with or without variable speed-limit and standard deviation, result is as shown in table 2:
Individual vehicle speed statistical information under the different speed limit of table 2
Variable speed-limit controls lower vehicle average speed and controls state significantly lower than nothing, and the average speed of the relatively low correspondence of speed limit is relatively low.Result shows that variable speed-limit controls can effectively reduce road-section average Vehicle Speed.Finally, choose the time headway information of vehicles more than 5 seconds, draw Vehicle Speed distribution scatterplot under different controlled state, result is as shown in Figure 2, the vehicle percentage ratio that travel speed exceedes in figure speed limit is added up and then is analyzed driver's degree of deferring under variable speed-limit control, result shows, under each speed limit, speed exceedes the vehicle ratio of speed limit and is above 50%, and speed limit is the lowest, over-speed vehicles percentage ratio is the highest, when speed limit is 60km/h, over-speed vehicles ratio reaches 96.44%.Therefore, overspeed of vehicle behavior generally exists, and under to variable speed-limit control in the research of traffic stream characteristics, needs to analyze variable speed-limit under different driver's degree of deferring to and controls effect and traffic stream characteristics.
3rd step is based on crucial density corresponding to the traffic capacity and is divided into by scatterplot and freely flows branch and block up two parts.Owing to existing research conclusion shows to be not result in that the traffic capacity promotes under variable speed-limit control, but crucial density corresponding to maximum traffic flow or crucial occupation rate value can change；Meanwhile, variable speed-limit controls influence on traffic flow under congestion status little, mainly traffic flow speed under freestream conditions is produced impact, makes free stream velocity change into a certain occurrence from a certain scope.Above-mentioned variable speed-limit controls to influence on traffic flow mechanism as shown in Figure 3.Draw, based on traffic flow and the density data of gained in the first step, the flux density figure controlled without variable speed-limit and under different speed limit, find the density without the maximum stream flow in variable speed-limit control down-off density map is corresponding to be crucial density dC, the flow of its correspondence is traffic capacity Q, the crucial density d that the density finding the maximum stream flow in different speed limit down-off density map corresponding is under each speed limitVSL, the flow of its correspondence is maximum stream flow Q under current speed limitVSL.Then controlling without variable speed-limit and in different speed limit down-off density map, abscissa value is freely to flow branch less than the region of crucial density, abscissa value is the branch that blocks up more than the region of crucial density.
4th step is respectively the data of the free stream branch under each speed limit and the branch that blocks up to be carried out linear fit, and the method for linear fit is method of least square.The traffic flow density data on flows collected from the first step is picked out and controls and traffic flow density data on flows corresponding under certain speed limit without variable speed-limit, it is divided into freely flowing a data and a data of blocking up according to the size of traffic flow density value, density value is divided into, more than the data of the crucial density value obtained in the 3rd step, a data of blocking up, density value is divided into less than the data of the crucial density value obtained in the 3rd step and freely flows branch data, with blocking up, a data carries out linear fit to the branch that blocks up, linear fit is carried out to freely flowing branch with freely flowing branch data, select the line segment that degree of fitting is the highest as freely flowing branch and the parent map shape of the branch that blocks up respectively for two, the parent map schematic shapes obtained is as shown in Figure 4, d in figureCFor crucial density, Q is the traffic capacity, QVSLFor maximum stream flow, d under current speed limitVSLLower crucial density is controlled for variable speed-limit.
5th step is based on analyzing the conclusion that under the variable speed-limit obtained controls, traffic stream characteristics is analyzed in second step, being modified Fig. 4.Fig. 4 assumes that traffic flow parent map when driver defers to speed limit completely, but variable speed-limit controls to have an impact traffic flow speed, and then indirectly traffic flow, density is produced impact.Therefore, consider the traffic flow parent map of actual driver's degree of deferring to as shown in Figure 5, traffic flow average running speed is higher than speed limit higher than the oblique line slope representing driver's actual travel speed in speed limit, i.e. Fig. 5, and the differential magnitude of two oblique line slopes is inversely proportional to driver's degree of deferring to.The traffic flow parent map controlled without speed limit under lower and different speed limit final matching obtained is aggregated in same figure.
6th step is to judge traffic flow initial operating state.Based on the traffic flow density d of current time under the inductive circular loop detector acquisition speed limit in the first stepact, by current time traffic flow density value respectively with dCWith compare, it is determined that current time traffic flow modes.Work as dact<dCTime, it is determined that Current traffic stream mode is freestream conditions；Work as dC<dact<dVSLTime, it is determined that Current traffic stream mode is slight congestion status；Work as dVSL<dactTime, it is determined that Current traffic stream mode is heavy congestion state.Record the variable speed-limit controlled state on current time through street simultaneously.
7th step is the lower traffic flow parent map of variable speed-limit control considering that actual driver defers to situation based on the 5th step gained, according to the traffic flow initial operating state judged in the 6th step, traffic behavior transfer drawing drawing method under selecting corresponding variable speed-limit to control.There are four kinds of traffic behavior transfer drawing drawing methods for three kinds of traffic flow initial operating state, concrete traffic behavior transfer figure is as shown in Figure 6.
(1) under freestream conditions, as shown in Fig. 6 (a), current traffic condition 1 down-off (q1) is less than maximum stream flow (Q corresponding to speed limitVSL) time, variable speed-limit controls from 1, traffic flow modes is converted to 1 ', correspond to same flow, but traffic flow density dramatically increases, and traffic flow speed declines substantially.
(2) under freestream conditions, as shown in Fig. 6 (b), when current traffic condition 2 down-off (q2) is more than maximum stream flow corresponding to speed limit, variable speed-limit controls from 2, traffic flow modes is converted to 2 ', traffic flow reduces to QVSL, traffic flow density dramatically increases, and traffic flow speed is remarkably decreased.
(3) under slight congestion status, as shown in Fig. 6 (c), when current traffic condition 3 down-off (q3) is more than maximum stream flow corresponding to speed limit, variable speed-limit controls from 3, traffic flow modes is converted to 3 ', traffic flow is slightly decreased, traffic flow density has increased slightly, and traffic flow speed is slightly decreased.
(4), under heavy congestion state, as shown in Fig. 6 (d), when current traffic condition 4 down-off (q4) is less than maximum stream flow corresponding to speed limit, variable speed-limit controls not result in traffic flow modes and changes.
Below in conjunction with the accompanying drawings the method for drafting of invention is carried out presented example:
Assume two-way Four-Lane Road through street section, a certain north-south, one group of inductive circular loop detector it is provided with at pile No. K, within every 5 minutes, calculate once this traffic flow average density at through street pile No. K and average discharge in 5 minutes, record current time and variable speed-limit controlled state simultaneously.Select the data in the case of NVSL and speed limit are 100km/h under state of weather good condition, control lower traffic flow parent map and the basic data of traffic behavior transfer figure in order to draw variable speed-limit when speed limit is 100km/h.Draw respectively and control with the flux density figure under 100km/h speed limit as shown in Figure 7 without variable speed-limit.As seen from the figure, the crucial density d under controlling without variable speed-limitC=100veh/km, traffic capacity Q=9800veh/h of its correspondence；Crucial density d under 100km/h speed limitVSL=104veh/km, maximum stream flow Q of its correspondenceVSL=8900veh/h.
Respectively with density value more than dCThe data of (i.e. 100veh/km) and density value are less than dCUnder the data linear fit controlled state without speed limit of (i.e. 100veh/km), traffic flow parent map blocks up branch and freely flows branch；Respectively with density value more than dVSLThe data of (i.e. 104veh/km) and density value are less than dVSLUnder the data linear fit 100km/h speed limit of (i.e. 104veh/km), traffic flow parent map blocks up branch and freely flows branch.Gained variable speed-limit controls lower traffic flow parent map as shown in solid black lines in Fig. 7.It is the traffic flow parent map that under 100km/h, 80km/h, 70km/h and 60km/h, matching obtains that repeat the above steps can respectively obtain speed limit, and summarized results is as shown in Figure 8.
Gather current time traffic flow density dactFor 102veh/km, variable speed-limit controlled state is 100km/h.Due to d under the speed limit of 100km/hC=100veh/km and=104veh/km, due to dC<dact<dVSL, therefore current time traffic flow modes is slight congestion status, draws out state transition diagram corresponding to current time traffic flow as shown in Figure 9 according to the method for Fig. 6 (c).
Claims (5)
1. the variable speed-limit of influence on traffic flow mechanism is controlled to descend traffic flow basic by one kind based on variable speed-limit control
The determination method of figure, is characterized in that comprising the following steps:
1) traffic flow and the density data that gather on through street under different variable speed-limit controlled state are the most preliminary
Processing data and obtain master database, concrete steps include:
101) choose the through street section used under dynamically changeable Control for Speed Limitation, gather the time span of data
Need to comprise simultaneously and do not use variable speed-limit control and use variable speed-limit to control two time periods；
102) at a certain pile No., inductive circular loop detector is set, with 5 minutes as cycle on selected through street
Cycle detection record is by the travel speed of each car of detector location, by time, time headway and vehicle
Length etc., in data base, the corresponding vehicle that produces passes through moment variable speed-limit controlled state as current note simultaneously
The variable speed-limit of record controls information；
103) select from raw data base the good and visual condition of state of weather well under data, wherein,
Described state of weather well refers to without misty rain, and described visual condition well refers to non-night, then by data according to without variable
Control for Speed Limitation and different variable speed-limit value carry out classification and process the basic number obtaining drawing for traffic flow parent map
According to storehouse；
2) for step 1) in variable speed-limit control under traffic flow data be analyzed；Add up respectively not
Defer to situation with vehicle vehicle head interval distribution under controlled state, speed distribution and driver, vehicle head interval distribution and
The analysis result of speed distribution shows that variable speed-limit controls to make that driving behavior is more consistent, vehicle head interval distribution is more equal
Even, traffic flow stability improves, and meanwhile, variable speed-limit controls lower vehicle average speed significantly lower than without control state
And speed limit is the lowest, average speed is the lowest, it is by drawing different controlled state that driver defers to the analysis of situation
Lower Vehicle Speed distribution scatterplot, adds up over-speed vehicles ratio under each controlled state, is drawing variable speed-limit
Control to need to consider the impact on parent map slope of the actual driver's degree of deferring to during lower traffic flow parent map；
3) by step 1) in the traffic flow data record under different variable speed-limit controlled state in master database
It is depicted as density current spirogram, respectively obtains the crucial density value under different variable speed-limit controlled state and maximum stream flow
Value；Wherein, draw, based on the traffic flow record under controlling without variable speed-limit, the flux density figure obtained can obtain
Crucial density dCWith traffic capacity Q, draw, based on the traffic flow record under different variable speed-limit values, the stream obtained
Metric density figure can obtain the crucial density d under each speed limitVSLWith maximum stream flow Q under corresponding speed limitVSL；
4) based on step 3) in crucial density value under each variable speed-limit controlled state of obtaining by corresponding traffic
Stream parent map is divided into two parts: freely flow branch and the branch that blocks up, then by step 1) in the master database that obtains
Free stream branch and the branch that blocks up matching respectively to the traffic flow parent map under different variable speed-limit controlled state respectively,
Obtain the Linear Fit Chart of traffic flow parent map under each Traffic flux detection state；
5) use step 1) in arrange inductive circular loop detector detection current time under arithmetic for real-time traffic flow
Travel speed, calculates the ratio of over-speed vehicles and is used for weighing that driver is actual defers to situation, based on driving of detecting
The person's of sailing actual travel speed, to step 4) in matching obtain defer to the friendship that variable speed-limit under state controls completely
Through-flow parent map is modified；
6) use step 1) in arrange inductive circular loop detector detection current time under arithmetic for real-time traffic flow
Density, obtains the variable speed-limit controlled state that current time is corresponding, according to current variable speed-limit controlled state simultaneously
And from step 3) each maximum stream flow of gained and crucial density data, select maximum corresponding under corresponding speed limit
Flow and crucial density value corresponding to maximum stream flow, judge current time traffic flow modes according to below equation:
Wherein,
Sact represents current time traffic flow modes；
Sf represents freestream conditions；
So represents slight congestion status；
Soo represents heavy congestion state；
dactRepresent current time traffic flow density；
dCIndicate and control, without variable speed-limit, the crucial density that lower maximum stream flow is corresponding；
Dvsl represents the crucial density that under current speed limit, maximum stream flow is corresponding；
7) according to step 6) in the current time traffic flow modes that obtains, select corresponding traffic behavior transfer
Drawing drawing method, traffic behavior transfer figure is substantially configured to two freely flow branch and right side one in left side and blocks up
Branch, two freely flows branch A branch and B branch corresponding driver respectively and defer to speed limit completely and consider actual driving
Two kinds of situations that member defers to, four kinds of different original states corresponding four kinds of different traffic behaviors transfer figures；Specifically,
First, under freestream conditions, current traffic condition is in the range of freely flowing A branch, original state 1) it is certainly
It is less than maximum stream flow (Q corresponding to speed limit by current traffic condition under stream mode 1 down-off (q1)VSL) time,
Variable speed-limit control by traffic behavior 1 horizontal translation to freely flow the traffic behavior 1 ' that B branch intersects；Otherwise,
Original state 2) be under freestream conditions current traffic condition 2 down-off (q2) more than corresponding to speed limit
During big flow, variable speed-limit controls to be converted to traffic behavior 2 freely flow B branch and the traffic of an intersection point that blocks up
State 2 '；Original state 3) it is under slight congestion status, current traffic condition is on the branch that blocks up between certainly
In the range of the line segment being made up of stream A, B branch and an intersection point that blocks up, current traffic condition 3 down-off (q3) is big
When maximum stream flow corresponding to speed limit, variable speed-limit control to be converted to traffic behavior 3 freely to flow B branch with
Block up the traffic behavior 3 ' of an intersection point；Original state 4) it is under heavy congestion state, current traffic condition 4
When down-off (q4) is less than maximum stream flow corresponding to speed limit, variable speed-limit controls lower traffic behavior and does not becomes
Change.
The variable speed-limit controlled based on variable speed-limit influence on traffic flow mechanism the most according to claim 1
Control the determination method of lower traffic flow parent map, it is characterized in that described step 3) middle according to traffic flow density figure
Obtain the crucial density under different variable speed-limit controlled state and the method for peak flow values, specifically distinguish
Draw the flux density relation scatterplot under different variable speed-limit controlled state, therefrom find ordinate value maximum
The transverse and longitudinal coordinate of one point then the most corresponding crucial density value and peak flow values, peak flow values herein is exactly
The real road traffic capacity under the conditions of Gai.
The variable speed-limit controlled based on variable speed-limit influence on traffic flow mechanism the most according to claim 1
Control the determination method of lower traffic flow parent map, it is characterized in that described step 4) in, to flux density scatterplot
The linear fitting procedure of middle flux density relation is that segmentation is carried out, using crucial density as separation by traffic flow
Parent map is divided into and freely flows branch and block up two parts, all uses a young waiter in a wineshop or an inn in segmentation carries out linear fitting procedure
Multiplication finds the straight line regression result as each several part of optimal fitting.
The variable speed-limit controlled based on variable speed-limit influence on traffic flow mechanism the most according to claim 1
Control the determination method of lower traffic flow parent map, it is characterized in that described step 5) in, based on the driving detected
Actual travel velocity estimated driver is actual defers to situation for member, to deferring to the friendship that under state, variable speed-limit controls completely
Through-flow parent map is modified, and draws the oblique line representing driver's actual travel speed, and gained parent map is used for can
Become the drafting of traffic behavior transfer figure under Control for Speed Limitation.
The variable speed-limit controlled based on variable speed-limit influence on traffic flow mechanism the most according to claim 1
Control the determination method of lower traffic flow parent map, it is characterized in that described step 7) in, first determine whether current time
Traffic flow modes, if current time traffic flow modes is freely to flow, then compare current time traffic flow with
Maximum stream flow corresponding under current time variable speed-limit controlled state, selects to draw current time according to comparative result
The method of traffic behavior transfer figure under traffic behavior；Meanwhile, described step 7) in, original state 1) take
After variable speed-limit controls, traffic flow flow is constant but traffic flow density dramatically increases, and traffic flow speed declines substantially；
Original state 2) use variable speed-limit control after, traffic flow reduce to QVSL, traffic flow density significantly increases
Adding, traffic flow speed is remarkably decreased；Original state 3) take variable speed-limit control after, traffic flow slightly under
Fall, traffic flow density has increased slightly, and traffic flow speed is slightly decreased；Original state 4) take variable speed-limit control
After system, variable speed-limit controls not result in traffic flow modes and changes.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107993435A (en) * | 2017-11-16 | 2018-05-04 | 浙江浙大中控信息技术有限公司 | Intersection signal cycle and the method for estimation of cycle flow |
| CN110363255A (en) * | 2019-08-19 | 2019-10-22 | 公安部交通管理科学研究所 | A kind of Speed Limitation on Freeway current-limiting method based on deep learning algorithm |
| CN111071299A (en) * | 2020-01-02 | 2020-04-28 | 中车青岛四方车辆研究所有限公司 | Overspeed protection control method for train network control system |
| CN111179601A (en) * | 2020-02-25 | 2020-05-19 | 青岛国信城市信息科技有限公司 | Tunnel traffic operation control method |
| CN112907950A (en) * | 2021-01-20 | 2021-06-04 | 东南大学 | Cellular transmission model improvement method for vehicle-road cooperative environment |
| CN116884220A (en) * | 2023-08-01 | 2023-10-13 | 同济大学 | Global variable speed limit compliance prediction method based on track data |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102542823A (en) * | 2011-12-16 | 2012-07-04 | 东南大学 | Expressway variable speed limit control method on basis of operation state of traffic flow |
| CN103198709A (en) * | 2013-03-21 | 2013-07-10 | 东南大学 | Vehicle regulating and controlling method for reducing traffic accidents under raining conditions |
| KR20140128063A (en) * | 2013-04-26 | 2014-11-05 | 한국교통연구원 | Traffic prediction system |
| KR20150018223A (en) * | 2013-08-09 | 2015-02-23 | 재단법인대구경북과학기술원 | Apparatus and method for displaying variable speed limit using real time traffic information |
| CN104821080A (en) * | 2015-03-02 | 2015-08-05 | 北京理工大学 | Intelligent vehicle traveling speed and time predication method based on macro city traffic flow |
-
2016
- 2016-05-13 CN CN201610318601.6A patent/CN105844915A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102542823A (en) * | 2011-12-16 | 2012-07-04 | 东南大学 | Expressway variable speed limit control method on basis of operation state of traffic flow |
| CN103198709A (en) * | 2013-03-21 | 2013-07-10 | 东南大学 | Vehicle regulating and controlling method for reducing traffic accidents under raining conditions |
| KR20140128063A (en) * | 2013-04-26 | 2014-11-05 | 한국교통연구원 | Traffic prediction system |
| KR20150018223A (en) * | 2013-08-09 | 2015-02-23 | 재단법인대구경북과학기술원 | Apparatus and method for displaying variable speed limit using real time traffic information |
| CN104821080A (en) * | 2015-03-02 | 2015-08-05 | 北京理工大学 | Intelligent vehicle traveling speed and time predication method based on macro city traffic flow |
Non-Patent Citations (3)
| Title |
|---|
| 廖大彬 马万经: "网络交通流宏观基本图研究综述", 《第七届中国智能交通年会优秀论文集》 * |
| 李志斌: "快速道路可变限速控制技术", 《万方数据》 * |
| 麦好: "《机器学习实践指南 案例应用解析》", 30 April 2014, 机械工业出版社 * |
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| CN110363255A (en) * | 2019-08-19 | 2019-10-22 | 公安部交通管理科学研究所 | A kind of Speed Limitation on Freeway current-limiting method based on deep learning algorithm |
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