CN102930733B - Online traffic bottleneck prediction control method based on FPGA and improved Kuhne model - Google Patents
Online traffic bottleneck prediction control method based on FPGA and improved Kuhne model Download PDFInfo
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- CN102930733B CN102930733B CN201210470947.XA CN201210470947A CN102930733B CN 102930733 B CN102930733 B CN 102930733B CN 201210470947 A CN201210470947 A CN 201210470947A CN 102930733 B CN102930733 B CN 102930733B
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Abstract
The invention discloses an online traffic bottleneck prediction control method based on an FPGA (Field Programmable Gate Array) and an improved Kuhne model, which is used for solving the technical problem that the conventional method is unlikely to perform online prediction regulation control on traffic bottleneck in the practical high-speed road or blocked road. The online traffic bottleneck prediction control method comprises the following steps: improving a Kuhne model; fusing a variable information display board into the Kuhne model; carrying out predictive analysis on the high-speed road or blocked road through the improved Kuhne model based on an FPGA platform; finding out the traffic bottleneck according to the defined state variable; giving out control schemes for gate control and the variable information display board, and introducing the control schemes into a prediction model by priority to find a reasonable control scheme; and carrying out online control on the traffic bottleneck, so that the traffic bottleneck in the high-speed road or blocked road can be effectively controlled.
Description
Technical field
The present invention relates to a kind of
fPGAcontrol method, particularly a kind of based on
fPGAand improvement
k ü hnethe online traffic bottlenecks forecast Control Algorithm of macroscopic traffic flow.
Background technology
The major issue that traffic congestion has become the common focus of paying close attention in countries in the world and has been badly in need of solving, traffic bottlenecks problem is one of main problem of the restriction magnitude of traffic flow, due to the restriction of hardware facility or the impact of emergency situations, make some sections become the bottleneck of whole road, if do not regulated and not controled, can accelerate the flow accumulation of bottleneck road, traffic is worsened, get congestion, even cause whole transportation network paralysis.
At present, the mode of freeway traffic regulation and control only has variable information display board to carry out speed restriction and circle mouth is controlled two kinds, in order effectively to relieve traffic congestion, improve the service efficiency of highway, often uses information display board as the means of transport information issue and control; Conventionally, information display board and variable speed-limit sign are as the important information issue of intelligent transportation system, by Surveillance center's computing machine, by communication network, carry out Long-distance Control, transmit and show various graph text informations, to driver, issue in time different road surfaces situation and all kinds of transport information of different sections of highway, carry out the publicity of traffic law, traffic knowledge, reach and reduce the impact that highway reappearance is blocked, reduced the non-reappearance accident of highway, improve traffic safety; Described in document " Hai Yilatibala carries; Expressway Information display board arranges Discussion on Technology; the land bridge visual field; in October, 2010; 139-140 ", the mechanism that arranges of information display board system is: (1) sensor information collection and disposal system, (2) information display board information provide, (3) communication system, (4) central control system; The setting of information display board should be from the angle of whole traffic navigation system Construction, takes into full account the associated of leading and control, takes the comprehensive benefit of surface road and overpass into consideration, formulates the leading scheme of globality, rationality, high efficiency; Information display board adopts different forms according to the difference of the place arranging and object; A kind of being mounted on main line, carries out main line induction and outlet induction, and the traffic that shows section, the place ahead with character style is as unimpeded, crowded, delay etc., thereby makes driver can turn to surface road, avoids crowded district; Another kind is arranged near ring road entrance, and the queue length of ring road porch and crowded prediction case are reported to driver, also the traffic conditions on contiguous main line can be shown to the driver on ring road entrance, thereby induce for they provide reasonably; In addition, in the situation that road congestion risk is very high, can control the input of circle mouth, even at road circle mouth, force some vehicles to roll highway away from, to avoid the generation of blocking up; Yet, these schemes, the induction of super expressway entrance, the induction of road main line, the induction of road way outlet are only demarcated according to information requirement, there is no organic phase combination, particularly the demonstration information of information display board is not set automatically according to macro traffic model prediction output, be difficult to, from overall angle, bottleneck road is carried out to traffic control, the section that the result of regulation and control regulates and controls is often unimpeded, but traffic jam phenomenon occurs in non-regulation and control section.
In order to analyse in depth traffic system, a large amount of scholar's research traffic flow model, wherein adopt the both macro and micro model analysis traffic characteristics person of hydromechanical viewpoint foundation in the majority both at home and abroad; In macroscopic traffic flow, traffic flow is regarded as the compressible continuous fluid medium being comprised of a large amount of vehicles, and the average behavior of research vehicle collective, the individual character of single unit vehicle do not highlight; Macroscopic traffic flow is with the average density of vehicle
, average velocity
vand flow
qportray traffic flow, study their satisfied equations; Macromodel can be portrayed the collective behavior of traffic flow better, thereby for designing effective traffic control strategy, simulation and estimating that the traffic engineering problems such as effect of road geometry modification provide foundation; Aspect numerical evaluation, simulation Macro-traffic Flow required time study number of vehicles in traffic system with institute and is had nothing to do, with the choosing and middle space of studied road, numerical method
, the time
discrete steps relevant.So macroscopic traffic flow is suitable for processing the traffic flow problem of the traffic system that a large amount of vehicles form; This class model is used for discussing the traffic behavior of blocked road by Most scholars in the world.
Through retrieval, find, number of patent application 200810117959.8, open day on January 14th, 2009, record in " a kind of control method at traffic bottlenecks place and device ", the method is by arranging buffer zone, the rule of travelling of vehicle in restriction buffer zone, the vehicle number of controlling in buffer zone is controlled vehicle flowrate, there is certain effect, but the method could not point out how to detect traffic bottlenecks, in real road, traffic bottlenecks are not what fix, each section may become traffic bottlenecks, and therefore, the method has limitation; Document " Zeng Guangxiang. the analysis of road traffic bottleneck, control and simulation, 2010, Guangxi University's Master's thesis " with
lWRmodel is basis, analyzed the disturbance of the one-way traffic bottleneck generation of road minimizing generation, and propose based on this to improve the method for traffic bottlenecks in pedestrian traffic, and the harm that road traffic bottleneck causes or economic loss are larger, the document is not analyzed its solution.
In highway or blocked road, can only control to regulate traffic by variable information display board or circle mouth, and each section all likely becomes traffic bottlenecks, current research mostly just produces the analysis of reason to traffic bottlenecks or is only how to solve specific road section traffic bottlenecks problem, just emulation is carried out in traffic section, bottleneck forecasting and traffic control are not combined real-time monitoring is carried out in traffic section, and mostly operate in computing machine and with upper mounting plate, bulky, there is the technical matters that is difficult in actual highway or blocked road, traffic bottlenecks be carried out on-line prediction and regulation and control in these researchs.
Summary of the invention
The technological deficiency that is difficult in actual highway or blocked road, traffic bottlenecks be carried out on-line prediction regulation and control in order to overcome existing method, the invention provides a kind of based on
fPGAand improve
k ü hnethe online traffic bottlenecks control method of model, the method pair
k ü hnemodel improves, and variable information display board is dissolved into
k ü hnein model, based on
fPGAplatform is by improved
k ü hnemodel carries out forecast analysis to highway or blocked road integral body, according to the state variable of definition, find road bottleneck, and then provide that circle mouth is controlled and the control program of variable information display board, and these control programs are according to priority brought into forecast model, find rational control program, thereby traffic bottlenecks are carried out to On-line Control, can effectively solve the technical matters that existing scheme is difficult in actual highway or blocked road, traffic bottlenecks be carried out on-line prediction regulation and control.
The technical solution adopted for the present invention to solve the technical problems: based on
fPGAand improve
k ü hnethe online traffic bottlenecks forecast Control Algorithm of model, is characterized in comprising the following steps:
Step 1, basis
k ü hnemodel:
In formula,
tfor the time,
xfor distance between current location and road starting point,
be traffic flow density and be
x,
tfunction,
,
vfor vehicle average velocity and be
x,
tfunction,
,
the rate of change of the density function causing for the vehicle flowrate that enters or roll away from due to circle mouth,
for
tconstantly,
xthe vehicle flowrate that section is entered by circle mouth,
for
tconstantly,
xthe vehicle flowrate that section is rolled away from by circle mouth,
,
for sailed into the normal vehicle flowrate rolling away from by circle mouth,
the flow reducing amount causing for the circle mouth expressway of controlling that No entry,
for circle mouth is controlled the flow increment of forcing outgoing vehicles to cause,
for equivalent speed and and free stream velocity
with traffic flow density
it is relevant,
t,
,
for constant;
Variable display board display speed is incorporated
k ü hnemodel, with variable display board display speed
replace the free stream velocity in equivalent speed
, be improved
k ü hnemodel is as follows:
Step 2, two new state variables of definition
,
, work as state variable
while being tending towards infinite, that represent traffic density is tending towards saturated traffic density, produces traffic congestion, works as state variable
while being tending towards infinite, represent that vehicle average velocity goes to zero, produce traffic congestion;
In formula,
traffic flow density while occurring blocking for traffic;
It is improved that step 3, a. obtain according to step 1
k ü hnemodel, represents differential term and omits higher order term by difference scheme, obtains:
In formula:
for to the step-length of t differential, be the sampling period, each road section length that h is differential step-length to x, divide,
o(
) be
high-order infinitely small,
o(
h) be
hhigh-order infinitely small,
o(
) be
high-order infinitely small, road is divided into a plurality of sections,
be
iindividual section [
n , (
n+ 1)
] average density of interior vehicle,
be
iindividual section [
n , (
n+ 1)
] average velocity of vehicle;
Be improved
k ü hnethe difference form of model is:
In formula:
represent the
iindividual section [
n , (
n+ 1)
] vehicle flowrate that entered by circle mouth,
represent the
iindividual section [
n , (
n+ 1)
] vehicle flowrate that rolled away from by circle mouth,
represent the
iindividual section [
n , (
n+ 1)
] interior variable display board display speed;
B. set up equivalent speed model:
,
In formula
efor constant;
C. exist
fPGAin write based on improvement
lWRthe PREDICTIVE CONTROL module of model, as shown in Figure 1, comprises data reception module, control program selection and data allocations module, computing module 1-computing module
n, synchronization module, data outputting module, road is divided into
nindividual section, the corresponding computing module in each section, computing module 1-computing module in figure
nthe forecasting traffic flow computing module that uses floating point arithmetic device to combine for Difference Method according to the partial differential equations of step 3 (a), the data flow of PREDICTIVE CONTROL module is: the traffic flow data in each section that data reception module reception host computer transmits, wherein traffic flow data comprises traffic flow density, vehicle average velocity, then passing to control program selects and data allocations module, control program is selected and data allocations module is determined traffic bottlenecks according to these data, and formulate regulation and control scheme, then by enable signal, control program and traffic flow data are passed to each computing module, each computing module is predicted and result is deposited in to register traffic flow density and vehicle average velocity simultaneously after receiving enable signal, modules calculates and to finish rear calculating end signal separately to be passed to synchronization module, synchronization module completes and calculates predicting the outcome of rear transmitted signal informing case selection and data allocations module reception traffic flow data at all computing modules, proceed prediction, at predicted time
in, if traffic bottlenecks are removed, adopt this scheme to regulate and control actual traffic, if can not remove, control program select and data allocations module according to traffic flow data and last time regulation and control scheme formulate new regulation and control scheme, and traffic flow data and regulation and control scheme are passed to each computing module, re-start prediction, repeatedly predict and adjust regulation and control scheme after select a suitable regulation and control scheme output to regulate and control traffic bottlenecks, and the section having regulated and controled is in the time
inside no longer regulate and control, then continue traffic to predict, find new traffic bottlenecks, and control,
In described step 3, determine that traffic bottlenecks the method that it is controlled are: solve
, when
be greater than given threshold value
time, section is described
?
constantly will become traffic bottlenecks, exist
constantly to vehicle heading
front and back enter, go out circle mouth and variable information display board carries out speed limit section, bottleneck road the place ahead Speed Reduction, section, rear speed is improved, and restriction enters bottleneck road even forces to roll away from bottleneck road; Or solve
, when
be greater than given threshold value
time, section is described
?
constantly will become traffic bottlenecks, exist
constantly to vehicle heading
front and back go out, enter circle mouth and variable information display board carries out speed limit section, bottleneck road the place ahead Speed Reduction, section, rear speed is improved, and restriction enters bottleneck road even forces to roll away from bottleneck road;
Wherein
,
for applying in advance the time of control, make
,
,
,
be respectively the positive number making according to roading density maximum saturation, friction;
The priority principle of controlling is: 1. first by variable information display board, adjust section speed, the car speed that enters bottleneck road is reduced, the car speed that rolls bottleneck road away from improves, 2. in the time of only can not reaching control index by variable information display board adjustment section speed, by the restriction of circle mouth, enter bottleneck road flow and adjust section speed with variable information display board and control simultaneously, 3. when enter bottleneck road flow and variable information display board by circle mouth restriction, adjust section speed and control to reach simultaneously and control while requiring, by circle mouth, be controlled at an interrupting time forced portion minute section vehicle and roll road away from, circle mouth restriction is entered to bottleneck road vehicle flowrate and variable information display board is adjusted section speed to reach control index request simultaneously.
The invention has the beneficial effects as follows: the present invention is by improving
k ü hneequivalent speed in model, is dissolved into variable information display board display speed in equivalent speed, based on
fPGAplatform is by improved
k ü hnemodel carries out forecast analysis to highway or blocked road integral body, according to the state variable of definition, find road bottleneck, and then provide that circle mouth is controlled and the control program of variable information display board, and these control programs are according to priority brought into forecast model, to guarantee that regulation and control scheme is practical, and then solve the technical matters that existing method is difficult in actual highway or blocked road, traffic bottlenecks be carried out on-line prediction regulation and control.
Accompanying drawing explanation
Fig. 1 the present invention is based on
fPGAand improve
k ü hnethe online traffic bottlenecks forecast Control Algorithm of model
fPGArealize block diagram;
Fig. 2 the present invention is based on
fPGAand improve
k ü hnethe control method process flow diagram of the online traffic bottlenecks forecast Control Algorithm of model.
Embodiment
With reference to accompanying drawing 1,2, describe the present invention in detail.
Control method process flow diagram of the present invention as shown in Figure 2, in the situation that not having traffic bottlenecks to produce, control program is that variable display board shows the free stream velocity that road allows, circle mouth is controlled and is not limited input and output, by traffic flow density, vehicle average velocity, variable display board display speed and circle mouth control program, the traffic flow density in each section and vehicle average velocity is predicted to a period of time
(
get
,
between large value), and judge whether to occur traffic bottlenecks, if there are not traffic bottlenecks, use current control program to regulate and control, if there is bottleneck, according to aforementioned priority principle, adjust variable display board display speed and circle mouth control program, and continue prediction a period of time
if traffic bottlenecks can not be removed, continue to adjust control program, until find a kind of control program can transport solution bottleneck problem, and adopt this scheme to control traffic bottlenecks, its detailed method is as follows:
1. basis
k ü hnemodel:
In formula,
tfor the time,
xfor distance between current location and road starting point,
be traffic flow density and be
x,
tfunction,
,
vfor vehicle average velocity and be
x,
tfunction,
,
the rate of change of the density function causing for the vehicle flowrate that enters or roll away from due to circle mouth,
for
tconstantly,
xthe vehicle flowrate that section is entered by circle mouth,
for
tconstantly,
xthe vehicle flowrate that section is rolled away from by circle mouth,
,
for sailed into the normal vehicle flowrate rolling away from by circle mouth,
the flow reducing amount causing for the circle mouth expressway of controlling that No entry,
for circle mouth is controlled the flow increment of forcing outgoing vehicles to cause,
for equivalent speed and and free stream velocity
with traffic flow density
it is relevant,
t,
,
for constant;
Variable display board display speed is incorporated
k ü hnemodel, with variable display board display speed
replace the free stream velocity in equivalent speed
, be improved
k ü hnemodel is as follows:
2. define two new state variables
,
, work as state variable
while being tending towards infinite, that represent traffic density is tending towards saturated traffic density, produces traffic congestion, works as state variable
while being tending towards infinite, represent that vehicle average velocity goes to zero, produce traffic congestion;
In formula,
traffic flow density while occurring blocking for traffic;
3. improved according to what obtain in 1
k ü hnemodel, represents differential term and omits higher order term by difference scheme, obtains:
In formula:
for to the step-length of t differential, be the sampling period, each road section length that h is differential step-length to x, divide,
o(
) be
high-order infinitely small,
o(
h) be
hhigh-order infinitely small,
o(
) be
high-order infinitely small, road is divided into a plurality of sections,
be
iindividual section [
n , (
n+ 1)
] average density of interior vehicle,
be
iindividual section [
n , (
n+ 1)
] average velocity of vehicle;
Be improved
k ü hnethe difference form of model is:
In formula:
represent the
iindividual section [
n , (
n+ 1)
] vehicle flowrate that entered by circle mouth,
represent the
iindividual section [
n , (
n+ 1)
] vehicle flowrate that rolled away from by circle mouth,
represent the
iindividual section [
n , (
n+ 1)
] interior variable display board display speed;
4. set up equivalent speed model:
,
In formula
efor constant;
5. exist
fPGAin write based on improvement
lWRthe PREDICTIVE CONTROL module of model, predicts traffic flow situation, finds traffic bottlenecks, traffic bottlenecks are controlled, in the present embodiment,
fPGAchip is selected
alteracompany
eP4
cE115
f29
c8 chips, pass through wireless with other road information acquisition module (host computer)
gPRScommunication, is divided into 40 sections road, as shown in Figure 1, comprises in data reception module, control program selection and data allocations module, computing module 1-computing module 40(embodiment
nget 40), synchronization module, data outputting module, the forecasting traffic flow computing module of computing module 1-computing module 40 for using floating point arithmetic device to combine according to the Difference Method of the partial differential equations of step 3 (a), the data flow of PREDICTIVE CONTROL module is: the traffic flow data in each section that data reception module reception host computer transmits, wherein traffic flow data comprises traffic flow density, vehicle average velocity, then passing to control program selects and data allocations module, control program is selected and data allocations module is determined traffic bottlenecks according to these data, and formulate regulation and control scheme, then by enable signal, control program and traffic flow data are passed to each computing module, each computing module is predicted and result is deposited in to register traffic flow density and vehicle average velocity simultaneously after receiving enable signal, modules calculates and to finish rear calculating end signal separately to be passed to synchronization module, synchronization module completes and calculates predicting the outcome of rear transmitted signal informing case selection and data allocations module reception traffic flow data at all computing modules, proceed prediction, at predicted time
in, if traffic bottlenecks are removed, adopt this scheme to regulate and control actual traffic, if can not remove, control program select and data allocations module according to traffic flow data and last time regulation and control scheme formulate new regulation and control scheme, and traffic flow data and regulation and control scheme are passed to each computing module, re-start prediction, repeatedly predict and adjust regulation and control scheme after select a suitable regulation and control scheme output to regulate and control traffic bottlenecks, and the section having regulated and controled is in the time
inside no longer regulate and control, then continue traffic to predict, find new traffic bottlenecks, and control,
6. the method for finding traffic bottlenecks in above-mentioned 5 and bottleneck being regulated and controled is: solve
, when
be greater than given threshold value
time, section is described
?
constantly will become traffic bottlenecks, exist
constantly to vehicle heading
front and back enter, go out circle mouth and variable information display board carries out speed limit section, bottleneck road the place ahead Speed Reduction, section, rear speed is improved, and restriction enters bottleneck road even forces to roll away from bottleneck road; Or solve
, when
be greater than given threshold value
time, section is described
?
constantly will become traffic bottlenecks, exist
constantly to vehicle heading
front and back go out, enter circle mouth and variable information display board carries out speed limit section, bottleneck road the place ahead Speed Reduction, section, rear speed is improved, and restriction enters bottleneck road even forces to roll away from bottleneck road;
Wherein
,
for applying in advance the time of control, make
,
,
,
be respectively the positive number making according to roading density maximum saturation, friction;
The priority principle of controlling is: 1. first by variable information display board, adjust section speed, the car speed that enters bottleneck road is reduced, the car speed that rolls bottleneck road away from improves, 2. in the time of only can not reaching control index by variable information display board adjustment section speed, by the restriction of circle mouth, enter bottleneck road flow and adjust section speed with variable information display board and control simultaneously, 3. when enter bottleneck road flow and variable information display board by circle mouth restriction, adjust section speed and control to reach simultaneously and control while requiring, by circle mouth, be controlled at an interrupting time forced portion minute section vehicle and roll road away from, circle mouth restriction is entered to bottleneck road vehicle flowrate and variable information display board is adjusted section speed to reach control index request simultaneously.
Claims (1)
- One kind based on fPGAand improve k ü hnethe online traffic bottlenecks forecast Control Algorithm of model, is characterized in that comprising the following steps:Step 1, basis k ü hnemodel:In formula, tfor the time, xfor distance between current location and road starting point, be traffic flow density and be x, tfunction, , vfor vehicle average velocity and be x, tfunction, , the rate of change of the density function causing for the vehicle flowrate that enters or roll away from due to circle mouth, for tconstantly, xthe vehicle flowrate that section is entered by circle mouth, for tconstantly, xthe vehicle flowrate that section is rolled away from by circle mouth, , for sailed into the normal vehicle flowrate rolling away from by circle mouth, the flow reducing amount causing for the circle mouth expressway of controlling that No entry, for circle mouth is controlled the flow increment of forcing outgoing vehicles to cause, for equivalent speed and and free stream velocity with traffic flow density it is relevant, t, , for constant;Variable display board display speed is incorporated k ü hnemodel, with variable display board display speed replace the free stream velocity in equivalent speed , be improved k ü hnemodel is as follows:Step 2, two new state variables of definition , , work as state variable while being tending towards infinite, that represent traffic density is tending towards saturated traffic density, produces traffic congestion, works as state variable while being tending towards infinite, represent that vehicle average velocity goes to zero, produce traffic congestion;In formula, traffic flow density while occurring blocking for trafficIt is improved that step 3, a. obtain according to step 1 k ü hnemodel, represents differential term and omits higher order term by difference scheme, obtains:In formula: for to the step-length of t differential, be the sampling period, each road section length that h is differential step-length to x, divide, o( ) be high-order infinitely small, o( h) be hhigh-order infinitely small, o( ) be high-order infinitely small, road is divided into a plurality of sections, be iindividual section [ n , ( n+ 1) ] average density of interior vehicle, be iindividual section [ n , ( n+ 1) ] average velocity of vehicle;Be improved k ü hnethe difference form of model is:In formula: represent the iindividual section [ n , ( n+ 1) ] vehicle flowrate that entered by circle mouth, represent the iindividual section [ n , ( n+ 1) ] vehicle flowrate that rolled away from by circle mouth, represent the iindividual section [ n , ( n+ 1) ] interior variable display board display speed;B. set up equivalent speed model: ,In formula efor constant;C. exist fPGAin write based on improvement lWRthe PREDICTIVE CONTROL module of model, comprises data reception module, control program selection and data allocations module, computing module 1-computing module n, synchronization module, data outputting module, road is divided into nindividual section, the corresponding computing module in each section, computing module 1-computing module nthe forecasting traffic flow computing module that uses floating point arithmetic device to combine for Difference Method according to the partial differential equations of step 3 (a), the data flow of PREDICTIVE CONTROL module is: the traffic flow data in each section that data reception module reception host computer transmits, wherein traffic flow data comprises traffic flow density, vehicle average velocity, then passing to control program selects and data allocations module, control program is selected and data allocations module is determined traffic bottlenecks according to these data, and formulate regulation and control scheme, then by enable signal, control program and traffic flow data are passed to each computing module, each computing module is predicted and result is deposited in to register traffic flow density and vehicle average velocity simultaneously after receiving enable signal, modules calculates and to finish rear calculating end signal separately to be passed to synchronization module, synchronization module completes and calculates predicting the outcome of rear transmitted signal informing case selection and data allocations module reception traffic flow data at all computing modules, proceed prediction, at predicted time in, if traffic bottlenecks are removed, adopt this scheme to regulate and control actual traffic, if can not remove, control program select and data allocations module according to traffic flow data and last time regulation and control scheme formulate new regulation and control scheme, and traffic flow data and regulation and control scheme are passed to each computing module, re-start prediction, repeatedly predict and adjust regulation and control scheme after select a suitable regulation and control scheme output to regulate and control traffic bottlenecks, and the section having regulated and controled is in the time inside no longer regulate and control, then continue traffic to predict, find new traffic bottlenecks, and control,In described step 3, determine that traffic bottlenecks the method that it is controlled are: solve , when be greater than given threshold value time, section is described ? constantly will become traffic bottlenecks, exist constantly to vehicle heading front and back enter, go out circle mouth and variable information display board carries out speed limit section, bottleneck road the place ahead Speed Reduction, section, rear speed is improved, and restriction enters bottleneck road even forces to roll away from bottleneck road; Or solve , when be greater than given threshold value time, section is described ? constantly will become traffic bottlenecks, exist constantly to vehicle heading front and back go out, enter circle mouth and variable information display board carries out speed limit section, bottleneck road the place ahead Speed Reduction, section, rear speed is improved, and restriction enters bottleneck road even forces to roll away from bottleneck road;Wherein , for applying in advance the time of control, make , , , be respectively the positive number making according to roading density maximum saturation, friction;The priority principle of controlling is: 1. first by variable information display board, adjust section speed, the car speed that enters bottleneck road is reduced, the car speed that rolls bottleneck road away from improves, 2. in the time of only can not reaching control index by variable information display board adjustment section speed, by the restriction of circle mouth, enter bottleneck road flow and adjust section speed with variable information display board and control simultaneously, 3. when enter bottleneck road flow and variable information display board by circle mouth restriction, adjust section speed and control to reach simultaneously and control while requiring, by circle mouth, be controlled at an interrupting time forced portion minute section vehicle and roll road away from, circle mouth restriction is entered to bottleneck road vehicle flowrate and variable information display board is adjusted section speed to reach control index request simultaneously.
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|---|---|---|---|
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| JP3187143B2 (en) * | 1992-07-10 | 2001-07-11 | 株式会社東芝 | Road traffic flow control device |
| CN102254425A (en) * | 2011-06-02 | 2011-11-23 | 西北工业大学 | Speed-correcting stable modeling method for discrete model of macroscopic traffic flow |
| CN102254423A (en) * | 2011-06-02 | 2011-11-23 | 西北工业大学 | Modeling method for stability of discrete model of macroscopic traffic flow |
| CN102254422A (en) * | 2011-06-02 | 2011-11-23 | 西北工业大学 | Stable modeling method for Payne-Whitham (PW) macroscopic traffic flow model |
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