CN102930730B - Online traffic bottleneck prediction control method based on FPGA and improved Phillips model - Google Patents
Online traffic bottleneck prediction control method based on FPGA and improved Phillips model Download PDFInfo
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- CN102930730B CN102930730B CN201210470918.3A CN201210470918A CN102930730B CN 102930730 B CN102930730 B CN 102930730B CN 201210470918 A CN201210470918 A CN 201210470918A CN 102930730 B CN102930730 B CN 102930730B
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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 Phillips 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 Phillips model; fusing a variable information display board into the Phillips model; carrying out predictive analysis on the high-speed road or blocked road through the improved Phillips 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 one
fPGAcontrol method, particularly one based on
fPGAand improvement
phillipsthe online traffic bottlenecks forecast Control Algorithm of macroscopic traffic flow.
Background technology
Traffic congestion has become the focus jointly paid close attention to countries in the world and the major issue being badly in need of solution, 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, some sections are made to become the bottleneck of whole road, if do not regulated and not controled, then can accelerate the fluid accumulation of bottleneck road, traffic is worsened, get congestion, even cause whole transportation network to be paralysed.
At present, the mode of freeway traffic regulation and control only has variable information display board to carry out speed restriction and circle mouth controls two kinds, and in order to the service efficiency of the highway that effectively relieves traffic congestion, improves, normal use information displaying board is as the means of Traffic information demonstration and control; Usually, information displaying board and variable speed-limit sign are issued as the important information of intelligent transportation system, Long-distance Control is carried out by communication network by Surveillance center's computing machine, transmit and show various graph text information, the different surface conditions of different sections of highway and all kinds of transport information is issued in time to driver, carry out the publicity of traffic law, traffic knowledge, reach the impact reducing highway reappearance and block, reduce the non-reappearance accident of highway, improve traffic safety; As 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 displaying board system is: (1) sensor information is collected and disposal system, (2) information displaying board information provide, (3) communication system, (4) central control system; The setting of information displaying board should from the angle of whole traffic navigation system Construction, takes into full account associating of leading and control, takes the comprehensive benefit of surface road and overpass into consideration, formulate the leading scheme of globality, rationality, high efficiency; Information displaying board adopts different forms according to the place of setting and the difference of object; One is mounted on main line, carries out main line induction and outlet induction, with the traffic in character style display section, front as unimpeded, crowded, delay etc., thus 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, thus reasonably induce for they provide; In addition, when road congestion risk is very high, the input of circle mouth can be controlled, even force some vehicles to roll highway away from road circle mouth, to avoid generation of blocking up; But, these schemes, super expressway entrance is induced, road main line is induced, road way outlet is induced and only demarcated according to information requirement, organic phase is not had to combine, particularly the display information of information displaying board does not export setting automatically according to macro traffic model prediction, be difficult to carry out traffic control from the angle of the overall situation to bottleneck road, the section that the result of regulation and control regulates and controls often is 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 both at home and abroad, the both macro and micro model analysis traffic characteristics person wherein adopting hydromechanical viewpoint to set up is in the majority; In macroscopic traffic flow, traffic flow is regarded as the compressible continuous fluid medium be made up of a large amount of vehicle, and the research average behavior of 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 they the equation that meets; Macromodel can portray the collective behavior of traffic flow better, thus for designing effective traffic control strategy, simulation and estimating that the traffic engineering problem such as effect of road geometry modification provides foundation; In numerical evaluation, simulation Macro-traffic Flow required time is studied number of vehicles in traffic system with institute and is had nothing to do, with studied road, numerical method choose and middle space, the discrete steps of time relevant.So macroscopic traffic flow is comparatively suitable for the traffic flow problem of the traffic system processing a large amount of vehicle composition; This class model is used for discussing the traffic behavior of blocked road by Most scholars in the world.
Find through retrieval, number of patent application 200810117959.8, publication date on January 14th, 2009, record " a kind of control method at traffic bottlenecks place and device ", the method is by arranging buffer zone, the traveling rule of vehicle in restriction buffer zone, the vehicle number controlled in buffer zone controls 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 fixing, 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
lWRbased on model, analyze the disturbance that road reduces the one-way traffic bottleneck generation produced, and the method improving traffic bottlenecks in pedestrian traffic is proposed based on this, and the harm that road traffic bottleneck causes or economic loss are larger, the document does not analyze 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 is mostly just to the analysis of traffic bottlenecks producing cause or be only how to solve specific road section traffic bottlenecks problem, just traffic section is emulated, bottleneck forecasting and traffic control are not combined and real-time monitoring is carried out to traffic section, and mostly operate in computing machine and with upper mounting plate, bulky, these research existence are difficult to the technical matters of traffic bottlenecks being carried out to on-line prediction and regulation and control in the highway or blocked road of reality.
Summary of the invention
Be difficult to carry out traffic bottlenecks in the highway or blocked road of reality the technological deficiency of on-line prediction regulation and control to overcome existing method, the invention provides a kind of based on
fPGAand improve
phillipsthe online traffic bottlenecks control method of model, the method pair
phillipsmodel improves, and variable information display board is dissolved into
phillipsin model, based on
fPGAplatform passes through improvement
phillipsmodel carries out forecast analysis to highway or blocked road entirety, state variable according to definition finds road bottleneck, and then provide the control program of the control of circle mouth and variable information display board, and these control programs are according to priority brought into forecast model, find rational control program, thus On-line Control is carried out to traffic bottlenecks, effectively can solve the technical matters that existing scheme is difficult to carry out traffic bottlenecks on-line prediction regulation and control in the highway or blocked road of reality.
The technical solution adopted for the present invention to solve the technical problems: based on
fPGAand improve
phillipsthe online traffic bottlenecks forecast Control Algorithm of model, is characterized in comprising the following steps:
Step one, basis
phillipsmodel:
In formula,
tfor the time,
xfor the spacing of current location and road starting point,
be traffic flow density and be
x,
tfunction,
,
vfor vehicle average velocity be
x,
tfunction,
,
ucar speed,
for the rate of change of the density function that the vehicle flowrate entering due to circle mouth or roll away from causes,
for
tmoment,
xthe vehicle flowrate that section is entered by circle mouth,
for
tmoment,
xthe vehicle flowrate that section is rolled away from by circle mouth,
,
for being sailed into the normal vehicle flowrate rolled away from by circle mouth,
for the flow reducing amount that circle mouth controls that No entry expressway causes,
for the flow increment that the control of circle mouth forces outgoing vehicles to cause,
for equivalent speed and and free stream velocity
with traffic flow density
it is relevant,
, be
the variance of distribution is long-pending, is similar to the pressure in gas dynamics, is referred to as traffic pressure,
the traffic flow density that traffic occurs when blocking,
the proportionality constant determined by experiment,
represent number of track-lines,
f(
u, x, t) represent
xplace exists
tmoment car speed is
uprobability;
Variable display board display speed is incorporated
phillipsmodel, with variable display board display speed
replace free stream velocity
, be improved
phillipsmodel is as follows:
Step 2, definition two new state variables
,
, work as state variable
when being tending towards infinite, representing traffic density and be tending towards saturation traffic density, produce traffic congestion, work as state variable
when being tending towards infinite, representing vehicle average velocity and go to zero, produce traffic congestion;
The improvement that step 3, a. obtain according to step one
phillipsmodel, represents differential term by difference scheme and omits higher order term, obtaining:
In formula: in formula,
for the step-length to t differential, i.e. sampling period, h is differential step size to x, each road section length of namely dividing,
o(
) be
higher-order shear deformation,
o(
h) be
hhigher-order shear deformation, road is divided into multiple section,
be
iindividual section [
k , (
k+ 1)
] average density of interior vehicle,
be
iindividual section [
k , (
k+ 1)
] average velocity of interior vehicle;
Be improved
phillipsthe difference form of model is:
In formula:
represent the
iindividual section [
k , (
k+ 1)
] vehicle flowrate that entered by circle mouth,
represent the
iindividual section [
k , (
k+ 1)
] vehicle flowrate that rolled away from by circle mouth,
represent the
iindividual section [
k , (
k+ 1)
] interior variable display board display speed;
B. equivalent speed model is set up:
,
In formula
efor constant;
C. exist
fPGAin write based on improvement
phillipsthe PREDICTIVE CONTROL module of model, as shown in Figure 1, comprises data reception module, control program is selected and data allocation 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
nfor the forecasting traffic flow computing module using floating point arithmetic device to combine according to the Difference Method of step 3 (a) partial differential equations, the data flow of PREDICTIVE CONTROL module is: data reception module receives the traffic flow data in each section that host computer transmits, wherein traffic flow data comprises traffic flow density, vehicle average velocity, then pass to control program to select and data allocation module, control program selection and data allocation module are according to these data determination traffic bottlenecks, and formulate regulation and control scheme, then by enable signal, control program and traffic flow data pass to each computing module, each computing module is predicted traffic flow density and vehicle average velocity after receiving enable signal and result stored in register simultaneously, modules calculates and terminates rear respective calculating end signal to be passed to synchronization module, synchronization module sends the selection of signal informing case after all computing modules complete calculating and data allocation module receives predicting the outcome of traffic flow data, proceed prediction, at predicted time
in, if traffic bottlenecks are removed, the program is then adopted to regulate and control actual traffic, if can not remove, control program select and data allocation module according to traffic flow data and last time regulation and control scheme formulate new bottleneck control program, and traffic flow data and regulation and control scheme are passed to each computing module, re-start prediction, repeatedly predicting and selecting after adjusting regulation and control scheme a suitable regulation and control scheme to export to regulate and control traffic bottlenecks, and the section regulated and controled is in the time
inside no longer regulate and control, then continue to predict traffic, find new traffic bottlenecks, and control,
Determine traffic bottlenecks in described step 3 and to its method controlled be: solving
, when
be greater than given threshold value
time, section is described
?
moment will become traffic bottlenecks, then exist
moment is to vehicle heading
front and back enter, go out circle mouth and variable information display board carries out speed limit and makes that section, bottleneck road front speed reduces, section, rear speed improves, and restriction enters bottleneck road even to be forced to roll bottleneck road away from; Or solve
, when
be greater than given threshold value
time, section is described
?
moment will become traffic bottlenecks, then exist
moment is to vehicle heading
front and back go out, enter circle mouth and variable information display board carries out speed limit and makes that section, bottleneck road front speed reduces, section, rear speed improves, and restriction enters bottleneck road even to be forced to roll bottleneck road away from;
Wherein
,
for the time applying in advance to control makes
,
,
,
be respectively the positive number obtained according to roading density maximum saturation, friction;
The priority principle controlled is: 1. first by variable information display board adjustment section speed, the car speed entering bottleneck road is reduced, the car speed rolling bottleneck road away from improves, when 2. can not reach Con trolling index only by variable information display board adjustment section speed, then enter bottleneck road flow by the restriction of circle mouth and adjust section speed with variable information display board and control simultaneously, 3. when being entered bottleneck road flow by the restriction of circle mouth and variable information display board adjustment section speed controls to reach control overflow simultaneously, control to force part way vehicle to roll road away from interrupting time by circle mouth, bottleneck road vehicle flowrate and variable information display board adjustment section speed are entered to reach Con trolling index requirement to the restriction of circle mouth simultaneously.
The invention has the beneficial effects as follows: the present invention is by improving
phillipsequivalent speed in model, is dissolved into variable information display board display speed in equivalent speed, based on
fPGAplatform passes through improvement
phillipsmodel carries out forecast analysis to highway or blocked road entirety, state variable according to definition finds road bottleneck, and then provide the control program of the control of circle mouth and 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 to carry out traffic bottlenecks on-line prediction regulation and control in the highway or blocked road of reality.
Accompanying drawing explanation
Fig. 1 the present invention is based on
fPGAand improve
phillipsthe online traffic bottlenecks forecast Control Algorithm of model
fPGArealize block diagram;
Fig. 2 the present invention is based on
fPGAand improve
phillipsthe control method process flow diagram of the online traffic bottlenecks forecast Control Algorithm of model.
Embodiment
The present invention is described in detail with reference to accompanying drawing 1,2.
Control method process flow diagram of the present invention as shown in Figure 2, when not having traffic bottlenecks to produce, the free stream velocity that control program allows for variable display board display road, circle mouth controls not limit input and output, by traffic flow density, vehicle average velocity, variable display board display speed and circle mouth control program to the traffic flow density in each section and vehicle average speed prediction a period of time
(
get
,
between large value), and judge whether to occur traffic bottlenecks, if there are not traffic bottlenecks, then use current control program to regulate and control, then adjust variable display board display speed and circle mouth control program according to aforementioned priority principle if there is bottleneck, and continue prediction a period of time
if traffic bottlenecks can not be removed, then continue adjustment control program, until find a kind of control program can transport solution bottleneck problem, and adopt the program to control traffic bottlenecks, its method detailed be as follows:
1. basis
phillipsmodel:
In formula,
tfor the time,
xfor the spacing of current location and road starting point,
be traffic flow density and be
x,
tfunction,
,
vfor vehicle average velocity be
x,
tfunction,
,
ucar speed,
for the rate of change of the density function that the vehicle flowrate entering due to circle mouth or roll away from causes,
for
tmoment,
xthe vehicle flowrate that section is entered by circle mouth,
for
tmoment,
xthe vehicle flowrate that section is rolled away from by circle mouth,
,
for being sailed into the normal vehicle flowrate rolled away from by circle mouth,
for the flow reducing amount that circle mouth controls that No entry expressway causes,
for the flow increment that the control of circle mouth forces outgoing vehicles to cause,
for equivalent speed and and free stream velocity
with traffic flow density
it is relevant,
, be
the variance of distribution is long-pending, is similar to the pressure in gas dynamics, is referred to as traffic pressure,
the traffic flow density that traffic occurs when blocking,
the proportionality constant determined by experiment,
represent number of track-lines,
f(
u, x, t) represent
xplace exists
tmoment car speed is
uprobability;
Variable display board display speed is incorporated
phillipsmodel, with variable display board display speed
replace free stream velocity
, be improved
phillipsmodel is as follows:
2. the state variable that definition two is new
,
, work as state variable
when being tending towards infinite, representing traffic density and be tending towards saturation traffic density, produce traffic congestion, work as state variable
when being tending towards infinite, representing vehicle average velocity and go to zero, produce traffic congestion;
3. according to the improvement obtained in 1
phillipsmodel, represents differential term by difference scheme and omits higher order term, obtaining:
In formula: in formula,
for the step-length to t differential, i.e. sampling period, h is differential step size to x, each road section length of namely dividing,
o(
) be
higher-order shear deformation,
o(
h) be
hhigher-order shear deformation, road is divided into multiple section,
be
iindividual section [
k , (
k+ 1)
] average density of interior vehicle,
be
iindividual section [
k , (
k+ 1)
] average velocity of interior vehicle;
Be improved
phillipsthe difference form of model is:
In formula:
represent the
iindividual section [
k , (
k+ 1)
] vehicle flowrate that entered by circle mouth,
represent the
iindividual section [
k , (
k+ 1)
] vehicle flowrate that rolled away from by circle mouth,
represent the
iindividual section [
k , (
k+ 1)
] interior variable display board display speed;
4. set up equivalent speed model:
,
In formula
efor constant;
5. exist
fPGAin write based on improvement
phillipsthe PREDICTIVE CONTROL module of model, predicts traffic flow conditions, finds traffic bottlenecks, control traffic bottlenecks, in the present embodiment,
fPGAchip is selected
alteracompany
eP4
cE115
f29
c8 chips, with other road information acquisition module (host computer) by wireless
gPRScommunication, is divided into 40 sections road, as shown in Figure 1, comprise data reception module, control program selects and data allocation module, in computing module 1-computing module 40(embodiment
nget 40), synchronization module, data outputting module, computing module 1-computing module 40 is the forecasting traffic flow computing module using floating point arithmetic device to combine according to the Difference Method of step 3 (a) partial differential equations, the data flow of PREDICTIVE CONTROL module is: data reception module receives the traffic flow data in each section that host computer transmits, wherein traffic flow data comprises traffic flow density, vehicle average velocity, then pass to control program to select and data allocation module, control program selection and data allocation module are according to these data determination traffic bottlenecks, and formulate regulation and control scheme, then by enable signal, control program and traffic flow data pass to each computing module, each computing module is predicted traffic flow density and vehicle average velocity after receiving enable signal and result stored in register simultaneously, modules calculates and terminates rear respective calculating end signal to be passed to synchronization module, synchronization module sends the selection of signal informing case after all computing modules complete calculating and data allocation module receives predicting the outcome of traffic flow data, proceed prediction, at predicted time
in, if traffic bottlenecks are removed, the program is then adopted to regulate and control actual traffic, if can not remove, control program select and data allocation module according to traffic flow data and last time regulation and control scheme formulate new bottleneck control program, and traffic flow data and regulation and control scheme are passed to each computing module, re-start prediction, repeatedly predicting and selecting after adjusting regulation and control scheme a suitable regulation and control scheme to export to regulate and control traffic bottlenecks, and the section regulated and controled is in the time
inside no longer regulate and control, then continue to predict traffic, find new traffic bottlenecks, and control,
6. find traffic bottlenecks in above-mentioned 5 and to the method that bottleneck regulates and controls be: solving
, when
be greater than given threshold value
time, section is described
?
moment will become traffic bottlenecks, then exist
moment is to vehicle heading
front and back enter, go out circle mouth and variable information display board carries out speed limit and makes that section, bottleneck road front speed reduces, section, rear speed improves, and restriction enters bottleneck road even to be forced to roll bottleneck road away from; Or solve
, when
be greater than given threshold value
time, section is described
?
moment will become traffic bottlenecks, then exist
moment is to vehicle heading
front and back go out, enter circle mouth and variable information display board carries out speed limit and makes that section, bottleneck road front speed reduces, section, rear speed improves, and restriction enters bottleneck road even to be forced to roll bottleneck road away from;
Wherein
,
for the time applying in advance to control makes
,
,
,
be respectively the positive number obtained according to roading density maximum saturation, friction;
The priority principle controlled is: 1. first by variable information display board adjustment section speed, the car speed entering bottleneck road is reduced, the car speed rolling bottleneck road away from improves, when 2. can not reach Con trolling index only by variable information display board adjustment section speed, then enter bottleneck road flow by the restriction of circle mouth and adjust section speed with variable information display board and control simultaneously, 3. when being entered bottleneck road flow by the restriction of circle mouth and variable information display board adjustment section speed controls to reach control overflow simultaneously, control to force part way vehicle to roll road away from interrupting time by circle mouth, bottleneck road vehicle flowrate and variable information display board adjustment section speed are entered to reach Con trolling index requirement to the restriction of circle mouth simultaneously.
Claims (1)
1. one kind based on
fPGAand improve
phillipsthe online traffic bottlenecks forecast Control Algorithm of model, is characterized in that comprising the following steps:
Step one, basis
phillipsmodel:
In formula,
tfor the time,
xfor the spacing of current location and road starting point,
be traffic flow density and be
x,
tfunction,
,
vfor vehicle average velocity be
x,
tfunction,
,
ucar speed,
for the rate of change of the density function that the vehicle flowrate entering due to circle mouth or roll away from causes,
for
tmoment,
xthe vehicle flowrate that section is entered by circle mouth,
for
tmoment,
xthe vehicle flowrate that section is rolled away from by circle mouth,
,
for being sailed into the normal vehicle flowrate rolled away from by circle mouth,
for the flow reducing amount that circle mouth controls that No entry expressway causes,
for the flow increment that the control of circle mouth forces outgoing vehicles to cause,
for equivalent speed and and free stream velocity
with traffic flow density
it is relevant,
, be
the variance of distribution is long-pending, is similar to the pressure in gas dynamics, is referred to as traffic pressure,
the traffic flow density that traffic occurs when blocking,
the proportionality constant determined by experiment,
represent number of track-lines,
f(
u, x, t) represent
xplace exists
tmoment car speed is
uprobability;
Variable display board display speed is incorporated
phillipsmodel, with variable display board display speed
replace free stream velocity
, be improved
phillipsmodel is as follows:
Step 2, definition two new state variables
,
, work as state variable
when being tending towards infinite, representing traffic density and be tending towards saturation traffic density, produce traffic congestion, work as state variable
when being tending towards infinite, representing vehicle average velocity and go to zero, produce traffic congestion;
The improvement that step 3, a. obtain according to step one
phillipsmodel, represents differential term by difference scheme and omits higher order term, obtaining:
In formula: in formula,
for the step-length to t differential, i.e. sampling period, h is differential step size to x, each road section length of namely dividing,
o(
) be
higher-order shear deformation,
o(
h) be
hhigher-order shear deformation, road is divided into multiple section,
be
iindividual section [
k , (
k+ 1)
] average density of interior vehicle,
be
iindividual section [
k , (
k+ 1)
] average velocity of interior vehicle;
Be improved
phillipsthe difference form of model is:
In formula:
represent the
iindividual section [
k , (
k+ 1)
] vehicle flowrate that entered by circle mouth,
represent the
iindividual section [
k , (
k+ 1)
] vehicle flowrate that rolled away from by circle mouth,
represent the
iindividual section [
k , (
k+ 1)
] interior variable display board display speed;
B. equivalent speed model is set up:
,
In formula
efor constant;
C. exist
fPGAin write based on improvement
phillipsthe PREDICTIVE CONTROL module of model, comprises data reception module, control program is selected and data allocation 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
nfor the forecasting traffic flow computing module using floating point arithmetic device to combine according to the Difference Method of step 3 (a) partial differential equations, the data flow of PREDICTIVE CONTROL module is: data reception module receives the traffic flow data in each section that host computer transmits, wherein traffic flow data comprises traffic flow density, vehicle average velocity, then pass to control program to select and data allocation module, control program selection and data allocation module are according to these data determination traffic bottlenecks, and formulate regulation and control scheme, then by enable signal, control program and traffic flow data pass to each computing module, each computing module is predicted traffic flow density and vehicle average velocity after receiving enable signal and result stored in register simultaneously, modules calculates and terminates rear respective calculating end signal to be passed to synchronization module, synchronization module sends the selection of signal informing case after all computing modules complete calculating and data allocation module receives predicting the outcome of traffic flow data, proceed prediction, at predicted time
in, if traffic bottlenecks are removed, the program is then adopted to regulate and control actual traffic, if can not remove, control program select and data allocation module according to traffic flow data and last time regulation and control scheme formulate new bottleneck control program, and traffic flow data and regulation and control scheme are passed to each computing module, re-start prediction, repeatedly predicting and selecting after adjusting regulation and control scheme a suitable regulation and control scheme to export to regulate and control traffic bottlenecks, and the section regulated and controled is in the time
inside no longer regulate and control, then continue to predict traffic, find new traffic bottlenecks, and control,
Determine traffic bottlenecks in described step 3 and to its method controlled be: solving
, when
be greater than given threshold value
time, section is described
?
moment will become traffic bottlenecks, then exist
moment is to vehicle heading
front and back enter, go out circle mouth and variable information display board carries out speed limit and makes that section, bottleneck road front speed reduces, section, rear speed improves, and restriction enters bottleneck road even to be forced to roll bottleneck road away from; Or solve
, when
be greater than given threshold value
time, section is described
?
moment will become traffic bottlenecks, then exist
moment is to vehicle heading
front and back go out, enter circle mouth and variable information display board carries out speed limit and makes that section, bottleneck road front speed reduces, section, rear speed improves, and restriction enters bottleneck road even to be forced to roll bottleneck road away from;
Wherein
,
for the time applying in advance to control makes
,
,
,
be respectively the positive number obtained according to roading density maximum saturation, friction;
The priority principle controlled is: 1. first by variable information display board adjustment section speed, the car speed entering bottleneck road is reduced, the car speed rolling bottleneck road away from improves, when 2. can not reach Con trolling index only by variable information display board adjustment section speed, then enter bottleneck road flow by the restriction of circle mouth and adjust section speed with variable information display board and control simultaneously, 3. when being entered bottleneck road flow by the restriction of circle mouth and variable information display board adjustment section speed controls to reach control overflow simultaneously, control to force part way vehicle to roll road away from interrupting time by circle mouth, bottleneck road vehicle flowrate and variable information display board adjustment section speed are entered to reach Con trolling index requirement to the restriction of circle mouth simultaneously.
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