CN107146408A  A kind of control method of the environmentally friendly control loop of the road based on car networking  Google Patents
A kind of control method of the environmentally friendly control loop of the road based on car networking Download PDFInfo
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 CN107146408A CN107146408A CN201710394520.9A CN201710394520A CN107146408A CN 107146408 A CN107146408 A CN 107146408A CN 201710394520 A CN201710394520 A CN 201710394520A CN 107146408 A CN107146408 A CN 107146408A
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Classifications

 G—PHYSICS
 G08—SIGNALLING
 G08G—TRAFFIC CONTROL SYSTEMS
 G08G1/00—Traffic control systems for road vehicles
 G08G1/01—Detecting movement of traffic to be counted or controlled
 G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
 G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
 G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons

 G—PHYSICS
 G08—SIGNALLING
 G08G—TRAFFIC CONTROL SYSTEMS
 G08G1/00—Traffic control systems for road vehicles
 G08G1/01—Detecting movement of traffic to be counted or controlled
 G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
 G08G1/0125—Traffic data processing

 G—PHYSICS
 G08—SIGNALLING
 G08G—TRAFFIC CONTROL SYSTEMS
 G08G1/00—Traffic control systems for road vehicles
 G08G1/01—Detecting movement of traffic to be counted or controlled
 G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
 G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications

 G—PHYSICS
 G08—SIGNALLING
 G08G—TRAFFIC CONTROL SYSTEMS
 G08G1/00—Traffic control systems for road vehicles
 G08G1/09—Arrangements for giving variable traffic instructions
 G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
Abstract
The present invention relates to a kind of control method of the environmentally friendly control loop of road based on car networking, information and signal control information Jing Guo road starting point is gathered by wagon detector, the driving trace and speed of uncontrolled vehicle are predicted, and rate curve optimization is carried out to automatic driving vehicle, the environmentally friendly Driving control to all vehicles is realized using influencing each other between vehicle.The beneficial effects of the present invention are：Intersection handling capacity has highest priority, i.e., the overall fuel consumption of system and pollutant emission are farthest reduced on the basis of intersection handling capacity is ensured；To the indirect control of uncontrolled vehicle, i.e., according to vehicle follow gallop rule, the rationally influence using automatic driving vehicle to the speed of the uncontrolled vehicle in rear, and then realize the control to all vehicles.
Description
Technical field
The invention belongs to the arrangement or installation of vehicular propulsion or transmission device；The cloth of the different prime mover of two or more
Put or install；Auxiliary drive；Vehicle instrument or instrument board；With the cooling of vehicular propulsion, air inlet, exhaust or fuel
The technical field of the arrangement combined is supplied, the information of vehicles that more particularly to a kind of basis is gathered in real time is added to the part on track
The automatic driving vehicle of car networking carries out rate curve optimization, the road environmental protection based on car networking that vehicle is run according to this is driven
Sail the control method of system.
Background technology
Signalized intersections in city have cutoff effect to traffic flow, vehicle is regular here to be accelerated, slows down, idling and
Parking, often results in substantial amounts of motor vehicle emission and fuel consumption.In order to solve the negative shadow that signalized intersections are brought
Ring, vehicle is controlled using signalized intersections environmentally friendly Driving control, signalized intersections environmental protection Driving control can effectively subtract
Less or shorten acceleration and deceleration and the parking idling process of vehicle in the range of intersection, reduction fuel consumption and pollutant emission.
However, there is following open defect in the environmentally friendly Ride Control System of existing signalized intersections：
1st, control system and corresponding control method are mainly directed towards fullautomatic driving environment and are designed and develop, it is impossible to
It is applied in short time among actual traffic control；
2nd, existing control system needs to carry out control program highfrequency renewal calculating in the course of the work, and this will be to logical
News system and computer system cause larger pressure；
3rd, the control method in existing control system focuses mostly in the speedoptimization control of single car, have ignored road friendship
The influence that logical situation is run to vehicle, causes and expected control targe is unable to reach in actual application, its control effect
Gradually reduced with the rise of traffic saturation degree；
4th, control targe is only to reduce fuel consumption and pollutant discharge amount in existing control method, and intersection is not handled up
Amount is considered, it is impossible to the long green light time for making full use of signal to control, and serious negative effect is caused to intersection handling capacity, no
Suitable for the intersection that traffic pressure is larger.
The content of the invention
Present invention solves the technical problem that be, in the prior art, the environmentally friendly Ride Control System master of existing signalized intersections
Will be towards fullautomatic driving vehicle, it is impossible in a short time among the traffic control applied to reality, high frequency operation can be to communication
System and computer system cause larger pressure, and control is nonfor overall road network, and more unilateral control model causes control to imitate
Fruit gradually reduces with the rise of traffic saturation degree, it is impossible to the long green light time for making full use of signal to control, to intersection handling capacity
Serious negative effect is caused, not the problem of not being suitable for traffic pressure larger intersection, and then there is provided a kind of base of optimization
In the control method of the environmentally friendly control loop of the road of car networking.
The technical solution adopted in the present invention is, a kind of control method of the environmentally friendly control loop of the road based on car networking,
The system includes being arranged on the wagon detector of road starting point, and the road destination county is provided with signal lamp, the vehicle inspection
Survey device and be connected to controller, the controller is connected with information collecting device, and the controller is connected to vehicle, the controller
It is connected to database；
It the described method comprises the following steps：
Step 1：Vehicle is travelled to road starting point, and wagon detector detection information of vehicles, controller is led to vehicle
News connection；
Step 2：Connection failure, when controller judges vehicle for uncontrolled vehicle, carries out step 3；Successful connection, controller
When judging vehicle for automatic driving vehicle, step 4 is carried out；
Step 3：Microcosmic vehicle followingmodel calculating is carried out for Current vehicle, the movement locus and speed of Current vehicle is obtained
Write music line, be as a result stored in database；Carry out step 5；
Step 4：Controller reads the information of vehicles of wagon detector collection, with reference to the movement locus and speed of a upper vehicle
Curve, the optimization of movement locus and rate curve is carried out for Current vehicle, optimum results are transmitted to Current vehicle, as a result deposited
It is stored in database, disconnects the connection between Current vehicle and controller；
Step 5：Terminate the control to Current vehicle.
Preferably, in the step 1, wagon detector detects arrival time, position and the speed of Current vehicle.
Preferably, in the step 3, the method for the movement locus and rate curve that obtain Current vehicle includes following step
Suddenly：
Step 3.1：Calculate the acceleration of Current vehicle
Wherein,Wherein,Accelerate for the maximum of Current vehicle
Degree, v_{n}(t) it is the speed of Current vehicle,For the desired speed of Current vehicle, δ is acceleration index,
For the expectation minimum range of Current vehicle and preamble vehicle, △ s_{n}(t) it is the actual range of Current vehicle and preamble vehicle, s_{0}For
Congestion distance, away from △ v when T is safe bus head_{n}(t) it is the speed difference of Current vehicle and preamble vehicle,For the phase of Current vehicle
Hope deceleration,The initial time of wagon detector is reached for Current vehicle；
Step 3.2：The traffic lights information in database is obtained, green time set ξ is obtained, judges that Current vehicle whether may be used
With with front truck same period green time by intersection, if can be so that the acceleration of Current vehicle should beWherein,The initial time of wagon detector is reached for Current vehicle, Current vehicle passes through
The terminal time of stop lineIf not all right, the initial time of first red light in front of Current vehicle isWherein,R is the red light duration of signal lamp, and G is the long green light time of signal lamp；
Step 3.3：At crossing, the virtual stationary vehicle at first red light moment in front of Current vehicle, Current vehicle are set
Acceleration be
Wherein,L is the position of stop line, s_{n}(t) it is Current vehicle
Position, t_{R}For the initial time that signal lamp is red light.
Preferably, in the step 3.3, when being red light in front of Current vehicle, the front truck of Current vehicle is described virtual quiet
When being green light in front of only vehicle, Current vehicle, the front truck of Current vehicle is actual preamble vehicle.
Preferably, in the step 4, the method for the movement locus and rate curve that obtain Current vehicle includes following step
Suddenly：
Step 4.1：Calculate the expeced time that Current vehicle crosses intersection
Wherein, the candidate terminal time of Current vehicleCurrent vehicle is not considering front truck and signal lamp
Pass through the earliest time of stop line in the case of controlt_{h}For
The default time headway of two continuous vehicles, v at stop line_{lim}For the legal speed limit of present road；
Step 4.2：Association's state is defined according to the refined golden maximal principles of Pang Teli
Wherein, △ t for iteration when
Between steplength, setting margin of error ε_{max}；
Step 4.3：Initialize association's state, Λ^{(0)}(i)=0, spacetime track s_{n}(i)=0, acceleration u_{n}(i)=0；Initialization
Speed For the initial velocity of Current vehicle；
Step 4.4：Based on constraints, the association state Λ drawn using a upper iteration^{(m1)}(i) along road from original position
Position solving state x to terminal^{(m)}(i)=(v_{n}(i),u_{n}(i))^{T}；
Step 4.5：The x drawn using a upper iteration^{(m)}(i) association's state is solved along road from final position to original position
Equation draws λ^{(m)}(i)；
Step 4.6：Utilize the λ of a upper iteration^{(m)}And Λ^{(m1)}It is smooth to update association state Λ^{(m)}=(1 γ) Λ^{(m1)}+γ·
λ^{(m)}；0≤γ≤1；
Step 4.7：Work as satisfaction   Λ^{(m)}λ^{(m)}<ε_{max}When stop iteration, m=m+1 is set in the case of other and step is returned
Rapid 4.4；
Step 4.8：Judge that the automatic driving vehicle spacetime track of generation whether there is with front truck spacetime track to conflict, if not
In the presence of, then judge generation rate curve as efficiency curve；If in the presence of current automatic driving vehicle is set into uncontrolled car
, carry out step 3.
Preferably, in the step 4.4, according to the refined golden maximal principles of Pang Teli
Wherein, w_{3}∈R^{+}, rate of acceleration change
s_{n}(i+1)=s_{n}(i)+△t(v_{n}(i)+0.5·u_{n}(i)·△t)；β_{1}And β_{2}For fuel consumption and pollutant emission
Parameter in model.
Preferably, in the step 4.4, constraints includes：
Rate of acceleration change For the peak acceleration rate of change of Current vehicle, k_{n}To be current
The minimum acceleration rate of change of vehicle；
Acceleration For the peak acceleration of Current vehicle,u _{n}Add for the minimum of Current vehicle
Speed；
Speed v _{n}For the minimum speed limit of Current vehicle；
As acceleration u_{n}(i) when >=0, operating cost
As acceleration u_{n}(i) during ＜ 0, operating cost
α_{0},α_{1},α_{2},α_{3},β_{1},β_{2}For the parameter in fuel consumption and pollutant emission model.
Preferably, in the step 4.5, the terminal acceleration of automatic driving vehicle isTerminal condition is
λ_{1}(p)=2w_{1}(s_{n}(p)L),λ_{2}(p)=2w_{2}(v_{n}(p)v_{lim}), w_{1}∈R^{+}, w_{2}∈R^{+}, λ is solved backward_{1}(j), λ_{2}
(j), j ∈ (p, p1 ..., 2), λ_{1}(j1)=λ_{1}(j), λ_{2}(j1)=λ_{2}(j)+w_{3}(α_{0}·v_{n}(j)^{2}+α_{2}+2α_{3}·v_{n}
(t))·△t+λ_{1}(j1)·△t。
The invention provides a kind of control method of the environmentally friendly control loop of the road based on car networking of optimization, pass through vehicle
Detector gathers the information and signal control information Jing Guo road starting point, and the driving trace and speed to uncontrolled vehicle are carried out
Prediction, and rate curve optimization is carried out to automatic driving vehicle, the ring to all vehicles is realized using influencing each other between vehicle
Protect Driving control.
The beneficial effects of the present invention are：
1st, intersection handling capacity has highest priority, i.e., farthest dropped on the basis of intersection handling capacity is ensured
The overall fuel consumption of low system and pollutant emission；
2nd, to the indirect control of uncontrolled vehicle, i.e., according to vehicle follow gallop rule, rationally using automatic driving vehicle to rear
The influence of the speed of the uncontrolled vehicle in side, and then realize the control to all vehicles.
Brief description of the drawings
Fig. 1 is the structured flowchart of the environmentally friendly control loop of road of the present invention.
Embodiment
The present invention is described in further detail with reference to embodiment, but protection scope of the present invention is not limited to
This.
As illustrated, the present invention relates to a kind of control method of the environmentally friendly control loop of road based on car networking, the system
System includes the wagon detector for being arranged on road starting point, and the road destination county is provided with signal lamp, and the wagon detector connects
Controller is connected to, the controller is connected with information collecting device, and the controller is connected to vehicle, and the controller is connected to
Database.
It the described method comprises the following steps.
Step 1：Vehicle is travelled to road starting point, and wagon detector detection information of vehicles, controller is led to vehicle
News connection.
In the step 1, wagon detector detects arrival time, position and the speed of Current vehicle.
In the present invention, information collecting device is mainly used in carrying out information gathering to the vehicle for driving into control area, collection
Information includes arrival time, position and the speed vehicle at wagon detector.Wagon detector is reached whenever there is new vehicle
Place, wagon detector feedback information to controller, information collecting device is to be activated, and by the information transmission collected to control
Device, for judging whether Current vehicle is controlled, and calculates its optimization information.
In the present invention, controller includes uncontrolled vehicle modeling module and automatic driving vehicle optimization module.It is uncontrolled
Vehicle modeling module is predicted to the spacetime track of uncontrolled vehicle and rate curve, and control is sent to using information collecting device
The spacetime track of the information of vehicles of device processed, binding signal control information and front truck and rate curve information, calculate uncontrolled vehicle
Spacetime track and rate curve, and result of calculation be stored in database to wait called in followup calculating process.Automatically drive
Sail optimization of vehicle module to optimize the rate curve of automatic driving vehicle, the vehicle transmitted using information collecting device is believed
The spacetime track of breath, binding signal control information and front truck and rate curve information, car is calculated using the optimized algorithm of the present invention
Optimal velocity curve and spacetime track, and by optimal velocity curve transmission give corresponding automatic driving vehicle in control mould
Block, is called while result of calculation is stored in database to wait in followup calculating process.
In the present invention, the communication of equipment room is completed using DSRC or LTEV mechanicss of communication, realizes information along wagon detector
By the transmission in the direction of controller to vehicle, this is the content that various equivalent modifications are readily appreciated that, can on demand certainly
Row is set.
Step 2：Connection failure, when controller judges vehicle for uncontrolled vehicle, carries out step 3；Successful connection, controller
When judging vehicle for automatic driving vehicle, step 4 is carried out.
In the present invention, when wagon detector detect vehicle by when, controller attempt with vehicle set up communicate be connected, if
Successful connection, then judge vehicle as automatic driving vehicle, automatic driving vehicle optimization module is activated, correspondence step 4, if connection
Failure, then judge vehicle as uncontrolled vehicle, uncontrolled vehicle modeling module is activated, correspondence step 3.
Step 3：Microcosmic vehicle followingmodel calculating is carried out for Current vehicle, the movement locus and speed of Current vehicle is obtained
Write music line, be as a result stored in database；Carry out step 5.
In the step 3, the method for the movement locus and rate curve that obtain Current vehicle comprises the following steps.
Step 3.1：Calculate the acceleration of Current vehicle
Wherein,Wherein,For the peak acceleration of Current vehicle,
v_{n}(t) it is the speed of Current vehicle,For the desired speed of Current vehicle, δ is acceleration index,For
The expectation minimum range of Current vehicle and preamble vehicle, △ s_{n}(t) it is the actual range of Current vehicle and preamble vehicle, s_{0}To gather around
Stifled distance, away from △ v when T is safe bus head_{n}(t) it is the speed difference of Current vehicle and preamble vehicle,For the expectation of Current vehicle
Deceleration,The initial time of wagon detector is reached for Current vehicle.
In the present invention, step 3.1 calculates Current vehicle according to the relative distance and relative velocity between Current vehicle and front truck
The acceleration of acceleration relation, as Current vehicle between front truck.
In the present invention, s_{0}Set according to the degree of the actual congestion of traffic, to count obtained definite value,For phase
To the coefficients statistics value of speed.
Step 3.2：The traffic lights information in database is obtained, green time set ξ is obtained, judges that Current vehicle whether may be used
With with front truck same period green time by intersection, if can be so that the acceleration of Current vehicle should beWherein,The initial time of wagon detector is reached for Current vehicle, Current vehicle passes through
The terminal time of stop lineIf not all right, the initial time of first red light in front of Current vehicle isWherein,R is the red light duration of signal lamp, and G is the long green light time of signal lamp.
In the present invention,Mean that a signal lamp terminates the red light to the current demand signal lamp cycle
Initial time.
Step 3.3：At crossing, the virtual stationary vehicle at first red light moment in front of Current vehicle, Current vehicle are set
Acceleration be
Wherein,L is the position of stop line, s_{n}(t) it is Current vehicle
Position, t_{R}For the initial time that signal lamp is red light.
In the step 3.3, when being red light in front of Current vehicle, the front truck of Current vehicle is the virtual stationary vehicle,
When being green light in front of Current vehicle, the front truck of Current vehicle is actual preamble vehicle.
In the present invention, the acceleration of Current vehicle is included in same road segment segment, and signal lamp does not become red light also and lamp becomes
For the situation of red light.
In the present invention,In, before now
The speed of car be 0, so when △ v_{n}(t)=v_{n}(t)。
Step 4：Controller reads the information of vehicles of wagon detector collection, with reference to the movement locus and speed of a upper vehicle
Curve, the optimization of movement locus and rate curve is carried out for Current vehicle, optimum results are transmitted to Current vehicle, as a result deposited
It is stored in database, disconnects the connection between Current vehicle and controller.
In the present invention, the information of vehicles gathered using wagon detector, the spacetime rail of binding signal control information and front truck
Mark and rate curve information, rate curve optimization is carried out to automatic driving vehicle, and optimization aim is guarantee intersection handling capacity
In the case of minimize overall fuel consumption and pollutant discharge amount, in order to reduce the calculating time, the algorithm is in the golden pole of huge Baudrillard
Built and solved using the PMP methods that quantize under big value principle (PMP) framework.
In the step 4, the method for the movement locus and rate curve that obtain Current vehicle comprises the following steps.
Step 4.1：Calculate the expeced time that Current vehicle crosses intersection
Wherein, the candidate terminal time of Current vehicleCurrent vehicle is not considering front truck and signal lamp
Pass through the earliest time of stop line in the case of controlt_{h}For
The default time headway of two continuous vehicles, v at stop line_{lim}For the legal speed limit of present road.
In the present invention, in the case of green light set, the expeced time that Current vehicle crosses intersection is the first, in red light
In the case of set, the expeced time that Current vehicle crosses intersection is second, now, and the initial time and red light of red light are overall
Duration and for green light initial time.
In the present invention, t_{h}Refer to the interval time by intersection between Current vehicle and front truck,Contain congestion
Time, traveltime table shows headstock time spacing, is both being defined for traffic engineering, and meaning is that latter car reaches previous car now
Carve the time spent required for position.
In the present invention, Current vehicle is not in the case of the control of front truck and signal lamp is considered by the earliest time of stop lineRefer to that front truck is far, influence, the time that Current vehicle passes through intersection with maximal rate will not be produced on Current vehicle.
Step 4.2：Association's state is defined according to the refined golden maximal principles of Pang Teli
Wherein, △ t are iteration
Time step, setting margin of error ε_{max}。
In the present invention, the golden maximal principle (PMP) of huge Baudrillard proposes association's state (costate) concept, Ke Yiyong
In being iterated.Now, λ_{1}And λ (i)_{2}(i) it is rational.
Step 4.3：Initialize association's state, Λ^{(0)}(i)=0, spacetime track s_{n}(i)=0, acceleration u_{n}(i)=0；Initialization
Speed For the initial velocity of Current vehicle.
Step 4.4：Based on constraints, the association state Λ drawn using a upper iteration^{(m1)}(i) along road from original position
Position solving state x to terminal^{(m)}(i)=(v_{n}(i),u_{n}(i))^{T}。
In the step 4.4, according to the refined golden maximal principles of Pang Teli
Wherein, w_{3}∈R^{+}, rate of acceleration changev_{n}(i+1)=v_{n}(i)+u_{n}(i) △ t, s_{n}(i+
1)=s_{n}(i)+△t(v_{n}(i)+0.5·u_{n}(i)·△t)；β_{1}And β_{2}For the parameter in fuel consumption and pollutant emission model.
In the step 4.4, constraints includes：
Rate of acceleration change For the peak acceleration rate of change of Current vehicle, k_{n}To work as
The minimum acceleration rate of change of vehicle in front；
Acceleration For the peak acceleration of Current vehicle,u _{n}For the minimum of Current vehicle
Acceleration；
Speed v _{n}For the minimum speed limit of Current vehicle；
As acceleration u_{n}(i) when >=0, operating cost
As acceleration u_{n}(i) during ＜ 0, operating cost
α_{0},α_{1},α_{2},α_{3},β_{1},β_{2}For the parameter in fuel consumption and pollutant emission model.
In the present invention, rate of acceleration change should be as small as possible, it is ensured that driver and passenger's is comfortable.
It in the present invention, finally should judge whether result of calculation meets constraints, if meeting, initial value be kept, if not
Meet, then should force to change result of calculation, it is met constraints.
In the present invention, the Section 1 of operating cost is the oil consumption defined in the refined golden maximal principles of Pang Teli, Section 2
It is then the numerical value of comfort level, comfort level primary concern acceleration magnitude.
Step 4.5：The x drawn using a upper iteration^{(m)}(i) association's state is solved along road from final position to original position
Equation draws λ^{(m)}(i)。
In the step 4.5, the terminal acceleration of automatic driving vehicle is Terminal condition is
λ_{1}(p)=2w_{1}(s_{n}(p)L),λ_{2}(p)=2w_{2}(v_{n}(p)v_{lim}), w_{1}∈R^{+}, w_{2}∈R^{+}, λ is solved backward_{1}(j), λ_{2}
(j), j ∈ (p, p1 ..., 2), λ_{1}(j1)=λ_{1}(j), λ_{2}(j1)=λ_{2}(j)+w_{3}(α_{0}·v_{n}(j)^{2}+α^{2}+2α^{3}·v_{n}
(t))·△t+λ_{1}(j1)·△t。
Utilize the λ of a upper iteration^{(m)}And Λ^{(m1)}It is smooth to update association state Λ^{(m)}=(1 γ) Λ^{(m1)}+γ·λ^{(m)}；0≤
γ≤1。
In the present invention, λ is calculated^{(m)}(i) need to use all x^{(m)}(i)=(v_{n}(i),u_{n}(i))^{T}。
Step 4.7：Work as satisfaction   Λ^{(m)}λ^{(m)}<ε_{max}When stop iteration, m=m+1 is set in the case of other and step is returned
Rapid 4.4.
In the present invention, ε_{max}Value can voluntarily be set by those skilled in the art according to understanding, to meet according to demand
Different road conditions constraints.
Step 4.8：Judge that the automatic driving vehicle spacetime track of generation whether there is with front truck spacetime track to conflict, if not
In the presence of, then judge generation rate curve as efficiency curve；If in the presence of current automatic driving vehicle is set into uncontrolled car
, carry out step 3.
Step 5：Terminate the control to Current vehicle.
The present invention is solved in the prior art, and the environmentally friendly Ride Control System of existing signalized intersections is mainly directed towards automatically
Drive vehicle, it is impossible to which in a short time among the traffic control applied to reality, high frequency operation can be to communication system and computer
System causes larger pressure, and control is nonfor overall road network, and more unilateral control model causes control effect with traffic saturation
The rise of degree and gradually reduce, it is impossible to the long green light time for making full use of signal to control, cause serious negative to intersection handling capacity
Face rings, the problem of not being suitable for traffic pressure larger intersection, passes through wagon detector collection by road starting point
Information and signal control information, are predicted to the driving trace and speed of uncontrolled vehicle, and automatic driving vehicle is carried out
Rate curve optimizes, and the environmentally friendly Driving control to all vehicles is realized using influencing each other between vehicle.
The beneficial effects of the present invention are：
1st, intersection handling capacity has highest priority, i.e., farthest dropped on the basis of intersection handling capacity is ensured
The overall fuel consumption of low system and pollutant emission；
2nd, to the indirect control of uncontrolled vehicle, i.e., according to vehicle follow gallop rule, rationally using automatic driving vehicle to rear
The influence of the speed of the uncontrolled vehicle in side, and then realize the control to all vehicles.
Claims (8)
1. a kind of control method of the environmentally friendly control loop of the road based on car networking, it is characterised in that：The system includes setting
In the wagon detector of road starting point, the road destination county is provided with signal lamp, and the wagon detector is connected to controller,
The controller is connected with information collecting device, and the controller is connected to vehicle, and the controller is connected to database；
It the described method comprises the following steps：
Step 1：Vehicle is travelled to road starting point, and wagon detector detection information of vehicles, controller carries out communication company with vehicle
Connect；
Step 2：Connection failure, when controller judges vehicle for uncontrolled vehicle, carries out step 3；Successful connection, controller judges
When vehicle is automatic driving vehicle, step 4 is carried out；
Step 3：Microcosmic vehicle followingmodel calculating is carried out for Current vehicle, the movement locus and speed for obtaining Current vehicle are bent
Line, is as a result stored in database；Carry out step 5；
Step 4：Controller reads the information of vehicles of wagon detector collection, and movement locus and the speed with reference to a upper vehicle are bent
Line, the optimization of movement locus and rate curve is carried out for Current vehicle, optimum results are transmitted to Current vehicle, as a result stored
In database, the connection between Current vehicle and controller is disconnected；
Step 5：Terminate the control to Current vehicle.
2. a kind of control method of the environmentally friendly control loop of road based on car networking according to claim 1, its feature exists
In：In the step 1, wagon detector detects arrival time, position and the speed of Current vehicle.
3. a kind of control method of the environmentally friendly control loop of road based on car networking according to claim 1, its feature exists
In：In the step 3, the method for the movement locus and rate curve that obtain Current vehicle comprises the following steps：
Step 3.1：Calculate the acceleration of Current vehicle
Wherein,
Wherein,For Current vehicle most greatly
Speed, v_{n}(t) it is the speed of Current vehicle,For the desired speed of Current vehicle, δ is acceleration index,For the expectation minimum range of Current vehicle and preamble vehicle, △ s_{n}(t) it is Current vehicle and preamble vehicle
Actual range, s_{0}For congestion distance, away from △ v when T is safe bus head_{n}(t) it is the speed difference of Current vehicle and preamble vehicle,
For the expectation deceleration of Current vehicle,The initial time of wagon detector is reached for Current vehicle；
Step 3.2：The traffic lights information in database is obtained, green time set ξ is obtained, judges whether Current vehicle can be with
Front truck same period green time by intersection, if can be so that the acceleration of Current vehicle should beWherein,The initial time of wagon detector is reached for Current vehicle, Current vehicle passes through
The terminal time of stop lineIf not all right, the initial time of first red light in front of Current vehicle isWherein,R is the red light duration of signal lamp, and G is the long green light time of signal lamp；
Step 3.3：Crossing set Current vehicle in front of first red light moment virtual stationary vehicle, Current vehicle plus
Speed is
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Wherein,L is the position of stop line, s_{n}(t) it is to work as
The position of vehicle in front, t_{R}For the initial time that signal lamp is red light.
4. a kind of control method of the environmentally friendly control loop of road based on car networking according to claim 3, its feature exists
In：In the step 3.3, when being red light in front of Current vehicle, the front truck of Current vehicle is the virtual stationary vehicle, current vehicle
When front is green light, the front truck of Current vehicle is actual preamble vehicle.
5. a kind of control method of the environmentally friendly control loop of road based on car networking according to claim 1, its feature exists
In：In the step 4, the method for the movement locus and rate curve that obtain Current vehicle comprises the following steps：
Step 4.1：Calculate the expeced time that Current vehicle crosses intersectionIts
In, the candidate terminal time of Current vehicleCurrent vehicle is not considering the control of front truck and signal lamp
Pass through the earliest time of stop line in the case of systemt_{h}To stop
The default time headway of two continuous vehicles, v at fare_{lim}For the legal speed limit of present road；
Step 4.2：Association state Λ (i)=(λ is defined according to the refined golden maximal principles of Pang Teli_{1}(i),λ_{2}(i))^{T},λ_{1}(i)∈R,λ_{2}(i) ∈ R, wherein, △ t are the time step of iteration, set the margin of error
ε_{max}；
Step 4.3：Initialize association's state, Λ^{(0)}(i)=0, spacetime track s_{n}(i)=0, acceleration u_{n}(i)=0；Initialize speed For the initial velocity of Current vehicle；
Step 4.4：Based on constraints, the association state Λ drawn using a upper iteration^{(m1)}(i) along road from original position to end
Point position solving state x^{(m)}(i)=(v_{n}(i),u_{n}(i))^{T}；
Step 4.5：The x drawn using a upper iteration^{(m)}(i) adjoint equation is solved along road from final position to original position
Draw λ^{(m)}(i)；
Step 4.6：Utilize the λ of a upper iteration^{(m)}And Λ^{(m1)}It is smooth to update association state Λ^{(m)}=(1 γ) Λ^{(m1)}+γ·λ^{(m)}；0
≤γ≤1；
Step 4.7：Work as satisfaction   Λ^{(m)}λ^{(m)}<ε_{max}When stop iteration, m=m+1 and return to step are set in the case of other
4.4；
Step 4.8：Judge that the automatic driving vehicle spacetime track of generation whether there is with front truck spacetime track to conflict, if not depositing
Then judging the rate curve of generation as efficiency curve；If in the presence of current automatic driving vehicle is set into uncontrolled car
, carry out step 3.
6. a kind of control method of the environmentally friendly control loop of road based on car networking according to claim 5, its feature exists
In：In the step 4.4, according to the refined golden maximal principles of Pang Teli
Wherein, w_{3}∈R^{+}, rate of acceleration changev_{n}(i+1)=v_{n}(i)+u_{n}(i) △ t, s_{n}(i+
1)=s_{n}(i)+△t(v_{n}(i)+0.5·u_{n}(i)·△t)；β_{1}And β_{2}For the parameter in fuel consumption and pollutant emission model.
7. a kind of control method of the environmentally friendly control loop of road based on car networking according to claim 6, its feature exists
In：In the step 4.4, constraints includes：
Rate of acceleration change For the peak acceleration rate of change of Current vehicle,k _{n}For current vehicle
Minimum acceleration rate of change；
Acceleration For the peak acceleration of Current vehicle,u _{n}Accelerate for the minimum of Current vehicle
Degree；
Speed v _{n}For the minimum speed limit of Current vehicle；
As acceleration u_{n}(i) when >=0, operating cost
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α_{0},α_{1},α_{2},α_{3},β_{1},β_{2}For the parameter in fuel consumption and pollutant emission model.
8. a kind of control method of the environmentally friendly control loop of road based on car networking according to claim 1, its feature exists
In：In the step 4.5, the terminal acceleration of automatic driving vehicle is
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Terminal condition is
λ_{1}(p)=2w_{1}(s_{n}(p)L),λ_{2}(p)=2w_{2}(v_{n}(p)v_{lim}), w_{1}∈R^{+}, w_{2}∈R^{+},
It is backward to solve λ_{1}(j), λ_{2}(j), j ∈ (p, p1 ..., 2), λ_{1}(j1)=λ_{1}(j),
λ_{2}(j1)=λ_{2}(j)+w_{3}(α_{0}·v_{n}(j)^{2}+α_{2}+2α_{3}·v_{n}(t))·△t+λ_{1}(j1)·△t。
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