CN105894814A - Joint optimization method and system for multiple traffic management and control measures in consideration of environmental benefits - Google Patents

Joint optimization method and system for multiple traffic management and control measures in consideration of environmental benefits Download PDF

Info

Publication number
CN105894814A
CN105894814A CN201610310512.7A CN201610310512A CN105894814A CN 105894814 A CN105894814 A CN 105894814A CN 201610310512 A CN201610310512 A CN 201610310512A CN 105894814 A CN105894814 A CN 105894814A
Authority
CN
China
Prior art keywords
traffic
control
module
traffic control
road
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201610310512.7A
Other languages
Chinese (zh)
Other versions
CN105894814B (en
Inventor
刘畅
王慧
宋春跃
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang University ZJU
Original Assignee
Zhejiang University ZJU
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhejiang University ZJU filed Critical Zhejiang University ZJU
Priority to CN201610310512.7A priority Critical patent/CN105894814B/en
Publication of CN105894814A publication Critical patent/CN105894814A/en
Application granted granted Critical
Publication of CN105894814B publication Critical patent/CN105894814B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137Measuring and analyzing of parameters relative to traffic conditions for specific applications

Landscapes

  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a joint optimization method and system for multiple traffic management and control measures in consideration of environmental benefits. All vehicles in the system are connected to a network, and data and information can be transmitted between vehicles, between vehicles and a road and between vehicles and a traffic control system. The system comprises a control range delimiting and expected effect setting module, a data acquisition module, a simulation data preprocessing module, a macroscopic traffic flow simulation module, a traffic control effect evaluation module, a control scheme optimization module and a control scheme issuing and implementation module. According to the system, macroscopic traffic flow is simulated on a simulation platform by using mass data information provided by the vehicular networking technology, and multiple traffic management and control measures are jointly optimized, so that exhaust emission of motor vehicles in a road network is reduced in consideration of the operating efficiency of the road network, and the purpose of improving the quality of air is fulfilled.

Description

Consider multiple traffic control measure combined optimization method and the system of environmental benefit
Technical field
The invention belongs to traffic environment field of engineering technology, be specifically related to a kind of multiple traffic pipe considering environmental benefit Control measure combined optimization method and system.
Background technology
Along with the fast development of China's economy and improving constantly of people's living standard, purchase car demand steady-state growth, machine Motor-car recoverable amount rises year by year.Adding up according to Public Security Department of the Ministry of Public Security, by the end of the year 2015, whole nation motor vehicles is possessed Amount reaches 2.79 hundred million, and wherein 1.72 hundred million, automobile, new registration amount and annual increment all reach all-time high.Motor vehicles The increase of recoverable amount, while being convenient for people to trip, also can cause that traffic congestion, environmental pollution etc. are a series of asks Topic.In national environmental monitoring in 2015 meeting, Environmental Protection Agency deputy bureau director mentions the source of atmospheric pollution analysis result in 9 cities, Have determined that Beijing, Hangzhou, Guangzhou, the primary atmospheric pollution source in four cities, Shenzhen are motor vehicles.Therefore, as What reduces traffic emission by traffic administration and the rational control measure of science, improves air quality, it has also become urgently Problem to be solved.
Traffic control measure mainly has: section and turn to forbidden, signal timing dial, road toll etc..Grinding forefathers Studying carefully and in actual application, above-mentioned means are mainly used to improve road network operational efficiency.However as environmental problem day by day Highlight, it is necessary to apply it in the traffic control of consideration environmental benefit.Although in traffic emission control problem, Chinese scholars made much fruitful research, but for the mutual balance of traffic efficiency with environmental benefit, And the combined optimization of management and control measure but rarely has and mentions, the most do not make full use of the car networking technology day by day risen.
Summary of the invention
Present invention aims to the deficiencies in the prior art, it is provided that a kind of multiple traffic pipe considering environmental benefit Control measure combined optimization method, utilizes the mass data information that car networking technology is provided, by multiple traffic pipe The combined optimization of control measure, while taking into account road network operational efficiency, reduces road network automotive emission, improves Air quality.
It is an object of the invention to be achieved through the following technical solutions: a kind of multiple traffic pipe considering environmental benefit Control measure combined optimization method, the method comprises the following steps:
(1) traffic administration person determines that the scope of control area, Traffic Evaluation index and expection control effect.Described friendship Logical evaluation index can reflect road network overall operation situation, and takes into account road network operational efficiency and environmental benefit.
(2) road, vehicle, environment, traffic control scheme information in control area is obtained.
(3) Macro-traffic Flow emulation input data prediction.
(3.1) to the control area delimited in step (1), section therein sum and node total number are added up, and Number in order to each section and node.
(3.2) type of vehicle needing to control under every kind of mode of transportation is determined, obtained in step (2) Information of vehicle flowrate, the anti-transport need pushed away in control area, transport need is with number as ultimate unit.Transport need Representing with the form of OD battle array, describing with two-dimensional array Q, to element Q [i] [j] each in array, label i represents Point, label j represents terminal, the transport need that the value of Q [i] [j] represented between i to j in the unit interval.
(3.3) according to the road information obtained in step (2) and information of vehicle flowrate, in derivation control area every Section traffic capacity C under different modes of transportation.
(3.4) according to road information, it is thus achieved that the free stream velocity v in section.According to free stream velocity v and step (2) Road section length L of middle acquisition estimates every the section free stream time t under different modes of transportation0=L/v.
(3.5) according to road section capacity C and freely time t is flowed0Design section under different modes of transportation k time Between roadlock t.Wherein t is the function of mode of transportation k vehicle flowrate x on a of section, and function meets following condition: Monotonic increase and continuously differentiable;When flow is minimum, roadlock is close to zero flow impedance;Allow the existence of supersaturation flow.
(3.6) determine traffic control measure to be optimized and the concrete section of enforcement thereof or crossing, record current Control program.Wherein traffic control measure include but not limited to section and turn to forbidden, signal timing dial, road toll, Section canalization, tide track, current priority are arranged.
(3.7) the traffic control measure to be optimized impact on time Impedance Function is determined, and by it to control (variable Form add in the mathematical expression of time Impedance Function, obtain broad sense Impedance Function c.
(3.8) according to pollutants in air concentration information measured in step (2), pollution to be controlled is determined Species type.The evaluation index of pollutant can be that pollutant are to the extent of injury of health or to air visibility Influence degree.
(3.9) to step (3.8) needs the pollutant that are controlled, according to step (2) obtains each The average discharge of these pollutant in the car unit interval, estimates under different mode of transportation these pollutant in control area In the range of average emission factors.
(4) Macro-traffic Flow emulation
(4.1) data that step (2) and step (3) obtain are input in Macro-traffic Flow emulation module, enter Row emulation.Wherein Macro-traffic Flow emulation module, needs have following functions: the most self-defined emulation duration.2. certainly Definition transport need, including fixed demand and elastic demand.The most self-defined Impedance Function.The most self-defined multiple difference Vehicle, and Traffic mode split can be simulated.The most self-defined traffic control scheme.6. stochastic user equilibrium assignment is pressed former The then optimizing paths of the online vehicle of simulation road.7. can generate form after emulation terminates, output road network runs letter Breath.Described information includes but not limited to, the total transport need of road network, selects the number of every kind of mode of transportation, in road network The flow of dissimilar vehicle on every section, road network overall travel time, the discharge of dissimilar pollutant in road network Amount.
(4.2) the Macro-traffic Flow emulation module described in can be that to meet (4.1) after secondary development described imitative The commercial vehicle simulation software of true demand, such as Vissim, Aimsun, TransModeler etc., it is also possible to be autonomous The Traffic Flow Simulation model such as Cell Transmission Model set up, or the mathematical model represented by Mathematical Planning form.Different Be that commercial vehicle simulation software can the most directly use, and the model independently set up needs to use and compiles Journey language conversion inputs data again after becoming executable program and carries out Traffic Flow Simulation.Described programming language include but It is not limited to MATLAB, C, C++, JAVA.
(4.3) emulation of Macro-traffic Flow is carried out as follows:
(4.3.1) calculation times is set, n=1.
(4.3.2) according to the OD battle array of input, the traffic under every kind of mode of transportation is determined by Traffic mode split model Demand.Hypothesis made herein is that traveler uses same mode of transportation, midway not to have from initial point to terminal always The conversion of mode of transportation.Described Traffic mode split model uses the disaggregation theory in units of individual, including But it is not limited to Logit model, Probit model.
(4.3.3) mode of transportation k concrete to each, according to its average passenger occupancy m, by transport need number Matrix QkBe converted to transport need vehicle number matrix qk.Conversion regime is qk=Qk/m。
(4.3.4) to each concrete mode of transportation k and transport need qk, carry out by Stochastic User Equilibrium Assignment Model Traffic assignation, obtains link flow matrix xk,n.The principle of distribution is: broad sense roadlock is the unique of decision Path selection Factor;Broad sense roadlock is affected by traffic flow and traffic control measure;It is independent of each other between different modes of transportation. Described Stochastic User Equilibrium Assignment Model can simulate the uncertainty that roadlock is estimated by passerby, includes but not limited to polynary Logit model, polynary Probit model, Burrell model.
(4.3.5) judge that calculation times n, whether more than 3, if n > 3, performs step (4.3.6);Otherwise by n Add 1, according to the computing formula of broad sense Impedance Function, the link flow matrix in step (4.3.4) is brought into, more New broad sense roadlock, performs step (4.3.2), starts new assignment of traffic once.
(4.3.6) enter this step explanation calculation times and meet the requirement judging that road network balances.Each is had Mode of transportation k of body, by formulaCalculate its n-th, 2 assignment of traffic of n 1, n knot The meansigma methods of fruitAnd with the n-th 1, the meansigma methods of 3 assignment of traffic results of n 2, nRelatively.If the difference of the two is beyond the accuracy rating preset, road is described Net is not reaching to balance, needs to add 1 by n, according to the computing formula of broad sense Impedance Function, by step (4.3.4) In link flow matrix bring into, update broad sense roadlock, perform step (4.3.2), start new assignment of traffic the most once. If the difference of the two is in default accuracy rating, then judges that road network has reached balance, terminate to calculate.
(4.3.7) the traffic matrix x of each mode of transportation k is exportedk,n, road network overall travel time, different in road network The discharge capacity of type of contaminant.
(5) traffic control effect assessment
The result emulated by Macro-traffic Flow controls effect with the expection of traffic administration person in step (1) and compares. Index at least two relatively, a reflection road network overall operation efficiency, a reflection road network urban publiclife. If comparative result is not reaching to target, perform step (6);If reached, perform step (7).
(6) traffic control scheme optimization
(6.1) in the control program described in, including at least two kinds of traffic control measures.Each traffic control is arranged Execute, use one group of control variable to express, with the change of the change reflection traffic control scheme of the concrete numerical value of control variable.
(6.2) use an one-dimension array to store all of control variable, as a traffic control scheme, use Traffic control scheme is optimized and obtains new traffic control scheme by optimized algorithm.
(6.3) new traffic control scheme is brought broad sense Impedance Function into, update roadlock, perform step (4), enter The new Macro-traffic Flow emulation once of row.
(7) issue new traffic control scheme by car-mounted terminal, make traveler in advance trip mode and path be done Go out planning.
Further, in described step (1), the feature of described control area is: be in city scope, region Sharpness of border, intra-zone section is complete, including at least a signalized crossing, to air quality requirements relatively High and pedestrian comes in and goes out frequently.Include but not limited to scenic spot, ancient building accumulation regions, residential block, shopping mall etc..
Further, in described step (1), described road network operational efficiency can be with all traveler overall travel times Or always broad sense trip spends and represents;Environmental benefit can use motor vehicle emission amount, pollutants in air concentration, The index expressions such as air quality index.Intended control effect can be that the actual value of each index reaches expected value, If pollutants in air concentration actual value is less than expected value;Can also be that the actual change of each index reaches desired Change, as motor vehicle emission amount reduces by 10.
Further, described step (2) is specific as follows:
(2.1) serviced by commercial network map search, such as Baidu's map, high moral map etc., it is thus achieved that control area Interior road network information.Including the geometry of road, number of track-lines, the adjacent pass between road section length L, and section System.
(2.2) vehicle GPS in being networked by car, trackside license plate recognition device, obtain different on every section a friendship The vehicle flowrate x of logical mode k.
(2.3) vehicle-mounted discharge detection device in being networked by car, it is thus achieved that every kind of pollutant in each car unit interval Average discharge.Wherein, the pollutant that can record include but not limited to carbon dioxide, carbon monoxide, particulate matter, Hydrocarbon and nitrogen oxides.
(2.4) control area internal contamination substrate concentration information is obtained by air quality monitoring stations point.
(2.5) Nei Ge section, control area and the traffic control scheme of crossing are obtained by traffic control system.
Further, in described step (6), according to the feature of control variable, traffic control scheme can be divided into Discrete and continuous two types.The control variable of discrete type traffic control scheme can use 01 variablees to represent, Such as section with turn to forbidden, passing through is 1, and obstructed is 0;The control variable of type traffic control scheme is setting continuously In the range of consecutive variations, as road toll, it is possible to use section toll rate p represents, wherein pmax>=p >=pmin.For signal timing dial, it is possible to use the split λ of section exit ramp represents, wherein λmax>=λ >=λmin
Further, in described step (6.2), described optimized algorithm includes but not limited to genetic algorithm, population Algorithm, simulated annealing.
A kind of multiple traffic control measure combined optimization system considering environmental benefit, in system, all vehicles all access Network, Che Yuche, Che Yulu, car and traffic control system, it is possible to achieve data and the transmission of information.This system Delimit and Expected Results setting module including span of control, data acquisition module, emulate data preprocessing module, grand See Traffic Flow Simulation module, traffic control effect assessment module, design approach module, control program issue with Implement module.
It is according to controlling requirement by traffic administration person that span of control delimit the function with Expected Results setting module, input Need to carry out the region of management and control stimulation optimization in city scope, and determine Traffic Evaluation index and the expection control in this region Effect processed.
The function of data acquisition module is to realize road, vehicle, environment, the collection of traffic control scheme and storage, And be connected with Macro-traffic Flow emulation module, it is achieved the transmission of data and sharing.
The function of emulation data preprocessing module is the data that data acquisition module transmits to be processed, and changes into energy The input parameter directly used by Macro-traffic Flow emulation module.
The function of Macro-traffic Flow emulation module is to receive the data that emulation data preprocessing module provides, and hands over reality Through-flow simulation, reproduces actual traffic network operation situation, and exports transportation network operation information to traffic control Effect assessment module.
The function of traffic control effect assessment module is that the transportation network receiving the output of Macro-traffic Flow emulation module is run Information, compares with the target of traffic administration person, it is judged that whether current road network ruuning situation reaches expection mesh Mark.If reaching target, then current feedback control scheme is exported and issue to control program and implement module;If It is not reaching to target, then current feedback control scheme is exported and be optimized to design approach module.
The function of design approach module is that the expection that is not reaching to receiving the output of traffic control effect assessment module is controlled The control program of target processed, is optimized the program, and the new departure after optimizing exports and imitates to Macro-traffic Flow True module, emulates again.
Control program issue with implement module function be receive traffic control effect assessment module send meet expection Control the control program of target, by control program external disclosure, and be applied in actual traffic control.
The invention has the beneficial effects as follows: on the basis of making full use of car networking data, from macroscopic perspective, by many The mode of kind of traffic control measure combined optimization, reaches to reduce the purpose of automotive emission in urban area.Fill Point utilize car networking data, it is to avoid time, energy and the statistics spent by artificial collection and measurement error, accurate Exactness is high, and real-time is good, and data volume is big;Macro-traffic Flow emulates, and from the angle of system, focuses on road network whole Running body effect, compares microcosmic and middle sight emulation, is more suitable for spread and uses;On same platform, real The combined optimization of existing multiple traffic control measure, takes into full account influencing each other between different management and control measure, more meets reality Border operation demand;In minimizing urban area, automotive emission is as optimization aim, is ensureing road network operational efficiency While, improve air quality, reduce the traffic emission health effect to traveler, improve environmental benefit.
Accompanying drawing explanation
Fig. 1 is the multiple traffic control measure combined optimization system considering environmental benefit in the present invention under car networked environment Block diagram;
Fig. 2 is the road network topology figure of instance analysis in the present invention;
Fig. 3 is Macro-traffic Flow simulation contact surface in the present invention.
Detailed description of the invention
Below in conjunction with accompanying drawing and example, the present invention is described in detail.
The inventive method is applied to get off under networked environment and considers that the multiple traffic control measure associating of environmental benefit is excellent Change system, in system, the equal access network of all vehicles, Che Yuche, Che Yulu, car and traffic control system, permissible Realize the transmission of data and information, as shown in Figure 1.System includes that span of control delimited and Expected Results setting module, Data acquisition module, emulates data preprocessing module, Macro-traffic Flow emulation module, traffic control effect assessment mould Block, design approach module, control program is issued and implements module.Span of control delimited and set with Expected Results The function of module is according to controlling requirement by traffic administration person, needs to carry out management and control stimulation optimization in input city scope Region, and determine this region expection control effect.The function of data acquisition module be realize road, vehicle, Environment, the collection of traffic control scheme and storage, and be connected with Macro-traffic Flow emulation module, it is achieved the biography of data Pass and share.The function of emulation data preprocessing module is the data that data acquisition module transmits to be processed, and turns The input parameter that chemical conversion directly can be used by Macro-traffic Flow emulation module.The function of Macro-traffic Flow emulation module is Receive the data that emulation data preparation module provides, actual traffic stream is simulated, reproduce actual traffic network fortune Market condition, and export transportation network operation information to traffic control effect assessment module.Traffic control effect assessment mould The function of block is to receive the transportation network operation information of Macro-traffic Flow emulation module output, pre-with traffic administration person Phase target compares, it is judged that whether current road network ruuning situation reaches target.If reaching target, Then current feedback control scheme is exported and issue to control program and implement module;Without reaching target, then will Current feedback control scheme exports and is optimized to design approach module.The function of design approach module is to receive The expection that is not reaching to of traffic control effect assessment module output controls the control program of target, carries out excellent to the program Change, and will optimize after new departure export to Macro-traffic Flow emulation module, again emulate.Control program issue with The function implementing module is to receive the control program meeting expection control target that traffic control effect assessment module sends, By control program external disclosure, and it is applied in actual traffic control.
The inventive method comprises the following steps:
Step (1). traffic administration person determines that the scope of control area, expection control effect.
(1.1) traffic administration person delimit control area to be optimized.Wherein the feature of control area is: be in city In the range of, zone boundary is clear, and intra-zone section is complete, including at least a signalized crossing, to sky Gas prescription is higher and pedestrian comes in and goes out frequently.Include but not limited to scenic spot, ancient building accumulation regions, residential block, step Row street etc..In this example, the control area of delimitation is that somewhere comprises two signals and controls to hand in city, Shaoxing, Zhejiang Province city The region of prong.Intra-zone comprises multiple park, higher to air quality requirements, meets control requirement.
(1.2) traffic administration person determines Traffic Evaluation index and intended control effect.Wherein, Traffic Evaluation index Should have gross feature, road network overall operation situation can be reflected, and take into account road network operational efficiency and environmental benefit.Road Network operation efficiency can represent with all traveler overall travel times or total broad sense trip cost;Environmental benefit can be used Motor vehicle emission amount, pollutants in air concentration, the index expression such as air quality index.Intended control Effect can be that the actual value of each index reaches expected value, if pollutants in air concentration actual value is less than expected value; Can also be that the actual change of each index reaches desired change, as motor vehicle emission amount reduces by percent Ten.In this example, selected evaluation index is motor vehicles on the overall travel time of all travelers in road network and road network Total discharge.Expected Results is in the case of not reducing road network operational efficiency, makes always to discharge minimum.
Step (2). obtain in control area the information such as road, vehicle, environment, traffic control scheme.
(2.1) serviced by commercial network map search, it is thus achieved that road network information in control area.Several including road What shape, number of track-lines, the syntopy between road section length L, and section.In this example, by Baidu's map, Obtain control zone road network information.
(2.2) vehicle GPS in being networked by car, trackside license plate recognition device, obtain different cars on every section a The vehicle flowrate x of type k.
(2.3) vehicle-mounted discharge device in being networked by car, it is thus achieved that in each car unit interval, every kind of pollutant is average Discharge capacity.Wherein, the pollutant that can record include but not limited to carbon dioxide, carbon monoxide, particulate matter, carbon Hydrogen compound and nitrogen oxides.
(2.4) control area internal contamination substrate concentration information is obtained by air quality monitoring stations point.
(2.5) Nei Ge section, control area and the traffic control scheme of crossing are obtained by traffic control system.
Step (3). Macro-traffic Flow emulation input data prediction.
(3.1) to the control area delimited in step (1), section therein sum and node total number are added up, and It is numbered in order to each section and node, distributes unique ID.In this example, road network topology figure is as shown in Figure 2. Herein, for simplifying the research of problem, only with one-way traffic stream as analyzing object.Road network represents joint with circle Point, line segment represents section, and on letter on node and section, numeral represents its numbering respectively, wherein nodes totally 12 Individual, section number totally 17.The adjacency matrix in section is shown in Table 1, and road section length is shown in Table 2.
Table 1 section adjacency matrix
Table 2 road section length
Section is numbered 1 2 3 4 5 6 7 8 9
L(km) 0.829 0.612 0.856 0.801 0.975 0.831 0.605 0.734 0.966
Section is numbered 10 11 12 13 14 15 16 17
L(km) 0.697 0.71 0.596 0.762 0.918 0.769 0.547 1.1
(3.2) type of vehicle needing to control under every kind of mode of transportation is determined, obtained in step (2) Information of vehicle flowrate and the average passenger occupancy of each car, the anti-transport need pushed away in control area.Transport need is with OD The form of battle array represents, describes by two-dimemsional number Q group, and to element Q [i] [j] each in array, label i represents starting point, mark Number j represents terminal, and the transport need that the value of Q [i] [j] represented between i to j in the unit interval, transport need is with people herein Number is ultimate unit.In this example, only exist two kinds of modes of transportation, under every kind of mode of transportation, have a kind of vehicle, respectively For car and bus.Additionally, only to node 1 as initial point, node 12 be the OD of terminal to being analyzed, Transport need be 3000 people/hour.
(3.3) according to the road information obtained in step (2) and vehicle flowrate, Nei Meitiao section, derivation control area Traffic capacity C to different automobile types vehicle.In this example, the road passage capability of car is C1, the road of bus The road traffic capacity is C2.For the section of non-mandrel roller, its traffic capacity and saturation volume rate S-phase etc.;For having The section that signal controls, saturation volume rate the split of the crossing associated with section together decides on.Saturation volume rate Concrete numerical value as shown in the table:
Table 3 section saturation volume rate
Section is numbered 1 2 3 4 5 6 7 8 9
S1(veh/h) 1800 1800 2000 1800 2100 1800 2100 2000 2100
S2(veh/h) 1200 1200 1334 1200 1400 1200 1400 1334 1400
Section is numbered 10 11 12 13 14 15 16 17
S1(veh/h) 2100 1800 1800 2000 1800 2100 1800 1800
S2(veh/h) 1400 1200 1200 1334 1200 1400 1200 1200
(3.4) according to road information, it is thus achieved that the free stream velocity v in section.According to free stream velocity v and step (2) Road section length L of middle acquisition estimates every the section free stream time t to different automobile types vehicle0=L/v.In this example, from Being 60km/h by Flow Velocity, the free stream time on calculated every section is as shown in table 4:
Table 4 section is freely flowed the time
Section is numbered 1 2 3 4 5 6 7 8 9
t0(h) 0.0138 0.0102 0.0143 0.0134 0.0163 0.0138 0.0101 0.0122 0.0161
Section is numbered 10 11 12 13 14 15 16 17
t0(h) 0.0116 0.0118 0.0099 0.0127 0.0153 0.0128 0.0091 0.0183
(3.5) according to road section capacity C and freely time t is flowed0The design section time roadlock to different automobile types vehicle k t.Wherein t is the function of vehicle k flow x on a of section, and needs to meet following condition: function is dull Incremental, continuously differentiable;When flow is minimum, roadlock is close to zero flow impedance;Allow the existence of supersaturation flow. In this example, use BPR function as time Impedance Function.
(3.6) determine traffic control measure to be optimized and the concrete section of enforcement thereof or crossing, record current Traffic control scheme.Wherein traffic control measure includes but not limited to section and turns to forbidden, signal timing dial, road Charge, section canalization, tide track, current priority are arranged.In this example, the traffic control measure of use is row Put charge and signal timing dial.Wherein to discharge charge, selected control variable is the rate of charge p in section, for Bus and two kinds of vehicles of car, charge method is that bus is free of charge, and car is charged, on every section Rate uses p successively1, p2... p12Represent;To signal timing dial, selected control variable is the corresponding outlet in section The split λ in road, ignores complete red time and yellow time, if the split of section 7,3,12,8 exit ramp divides Wei λ1, λ2, λ3, λ4
(3.7) the traffic control measure to be optimized impact on time Impedance Function is determined, and by it with control variable Form is added in the mathematical expression of time Impedance Function, obtains broad sense Impedance Function c.In this example, broad sense roadlock It is expressed as:
C (x, p, λ)=μ t (x, λ)+lpef
Wherein l is road section length, and p is toll rate, efFor emission factor, μ is time value conversion coefficient, when t is Between roadlock, it is expressed as:
t ( x , λ ) = t 0 [ 1 + α ( x m λ S ) β ]
Wherein α, β are model parameter, typically take α=0.15, β=0.4.M: average passenger occupancy;S: section saturated flow Rate;
(3.8) according to pollutants in air concentration information measured in step (2), determine to be controlled main Pollutant type.The evaluation index of pollutant can be that pollutant can be shown in the extent of injury of health or to air The influence degree of degree.In this example, the pollutant controlled are carbon dioxide, because its dirt discharged at motor vehicles Dye thing occupies larger proportion, and greenhouse effect can be caused.
(3.9) to (3.4) need the pollutant that are controlled, according to each car list obtained in step (2) The average discharge of these pollutant in bit time, estimates these pollutant of different automobile types putting down in the range of control area All emission factors.In this example, the CO2 emission factor of car is 322.3g/km, the titanium dioxide of bus The carbon emission factor is 1072.8g/km.
Step (4). Macro-traffic Flow emulates
(4.1) data that step (2) and step (3) obtain are input in Macro-traffic Flow emulation module, enter Row emulation.Wherein Macro-traffic Flow emulation module, needs have following functions: the most self-defined emulation duration.2. certainly Definition transport need, including fixed demand and elastic demand.The most self-defined Impedance Function.The most self-defined multiple difference The vehicle of vehicle, and Traffic mode split can be simulated.The most self-defined traffic control scheme.6. Stochastic User Equilibrium is pressed The optimizing paths of the online vehicle of distribution principle simulation road.7. can generate form after emulation terminates, export road network Operation information.Described information includes but not limited to, the total transport need of road network, takes the number of each type vehicle, The flow of dissimilar vehicle on every section in road network, road network overall travel time, dissimilar pollutant in road network Discharge capacity.
(4.2) the Macro-traffic Flow emulation module described in can be that to meet (4.1) after secondary development described imitative The commercial vehicle simulation software of true demand, such as Vissim, Aimsun, TransModeler etc., it is also possible to be autonomous The Traffic Flow Simulation model such as Cell Transmission Model set up, or the mathematical model represented by Mathematical Planning form.Different Be that commercial vehicle simulation software can the most directly use, and the model independently set up needs to use and compiles Journey language conversion inputs data again after becoming executable program and carries out Traffic Flow Simulation.Described programming language include but It is not limited to MATLAB, C, C++, JAVA.The Macro-traffic Flow phantom that this example is used is for Mathematical Planning The model that form represents, programming language is MATLAB, is embodied as:
min z ( x a , x ^ a , f i r e , f ^ j r s , q ^ r s ) = 1 γ 1 Σ r s Σ i f i r s lnf i r s + Σ a ∫ 0 x a m c a ( ω , p a ) d ω + 1 γ 2 Σ r s Σ j f ^ j r s ln f ^ j r s + Σ a ∫ 0 x ^ a m ^ c ^ a ( ω ) d ω + Σ r s ∫ 0 q ^ r s ( 1 θ ln ω q ‾ r s - ω ) d ω
s . t . Σ i f i r s = q ‾ r s - q ^ r s
Σ j f ^ j r s = q ^ r s
f i r s , f ^ j r s ≥ 0
x a = Σ r s Σ i f i r s δ a , i r s
x ^ a = Σ r s Σ j f ^ j r s δ a , j r s
Wherein,For OD to number of always going on a journey between r s;qrsFor the OD people to taking advantage of car trip between r s Number;For the OD number to the trip that rides in a bus between r s;θ is model parameter, takes 1 in this example;xaFor road The flow of the people of the section superior car trip of a, people/h;For the flow of the people of the trip that rides in a bus on a of section, people/h; ca(xa,pa) it is the broad sense Impedance Function of car on a of section;For the broad sense roadlock of bus on a of section Function;Represent path/section incidence relation, if section a is connecting on the OD the i-th paths to r s, ThenOtherwiseFor connecting the OD flow of the people to the i-th superior car trip of paths of r s, People/h;For connecting the flow of the people of the trip that rides in a bus on the OD the i-th paths to r s, people/h;γ1, γ2For Model parameter, there is shown the uncertainty that roadlock is estimated by passerby, the biggest expression of value is estimated the most accurate, in this example All take 1.
(4.3) emulation of Macro-traffic Flow is carried out as follows:
(4.3.1) calculation times is set, n=1.
(4.3.2) according to the OD battle array of input, the traffic under every kind of mode of transportation is determined by Traffic mode split model Demand.Hypothesis made herein is that traveler uses same mode of transportation, midway not to have from initial point to terminal always The conversion of mode of transportation.Described Traffic mode split model uses the disaggregation theory in units of individual, including But it is not limited to Logit model, Probit model.This example uses Logit model.
(4.3.3) mode of transportation k concrete to each, according to its average passenger occupancy m, by transport need number Matrix QkBe converted to transport need vehicle number matrix qk.Conversion regime is qk=Qk/m。
(4.3.4) to each concrete mode of transportation k and transport need qk, carry out by Stochastic User Equilibrium Assignment Model Traffic assignation, obtains link flow matrix xk,n.The principle of distribution is: broad sense roadlock is the unique of decision Path selection Factor;Broad sense roadlock is affected by traffic flow and control device;It is independent of each other between different modes of transportation.Described Stochastic User Equilibrium Assignment Model can simulate the uncertainty that roadlock is estimated by passerby, includes but not limited to polynary Logit Model, polynary Probit model, Burrell model.In this example, use polynary Logit model.
(4.3.5) judge that calculation times n, whether more than 3, if n > 3, performs step (4.3.6);Otherwise by n Add 1, according to the computing formula of broad sense Impedance Function, the link flow in step (4.3.4) is brought into, update wide Justice roadlock, performs step (4.3.2), starts new assignment of traffic once.
(4.3.6) enter this step explanation calculation times and meet the requirement judging that road network balances.Each is had Mode of transportation k of body, by formulaCalculate its n-th, 2 assignment of traffic of n 1, n knot The meansigma methods of fruitAnd with the n-th 1, the meansigma methods of 3 assignment of traffic results of n 2, nRelatively.If the difference of the two is beyond the accuracy rating preset, road is described Net is not reaching to balance, needs to add 1 by n, according to the computing formula of broad sense Impedance Function, by step (4.3.4) In link flow bring into, update broad sense roadlock, perform step (4.3.2), start new assignment of traffic the most once.As Really the difference of the two is in the range of default error precision, then judge that road network has reached balance, terminates to calculate.
(4.3.6) the traffic matrix x of each concrete mode of transportation k is exportedk,n, road network overall travel time, road network In the discharge capacity of dissimilar pollutant.
Step (5). traffic control effect assessment
(5.1) result of Macro-traffic Flow emulation in (4.1) is controlled with the expection of traffic administration person in (1.2) Effect compares.Index at least two relatively, a reflection road network overall operation efficiency, a reflection road Net urban publiclife.This example uses the total of motor vehicles in traveler overall travel time in road network and road network Discharge.
(5.2) for the comparative result in (5.1), step (6) is then performed without reaching target;As Fruit reaches, and performs step (7).
Step (6). traffic control scheme optimization
(6.1) in the control program described in, including at least two kinds of management and control measures.To each management and control measure, use One group of control variable is expressed, with the change of the change reflection traffic control scheme of the concrete numerical value of variable.According to controlling change The feature of amount, can be divided into discrete and continuous two types by traffic control scheme.Discrete type traffic control scheme Control variable 01 variablees can be used to represent, such as section with turn to forbidden, passing through is 1, and obstructed is 0;Continuously The control variable of type traffic control scheme is consecutive variations in the range of setting, and as road toll, can make Represent with section toll rate p, wherein pmax>=p >=pmin.For signal timing dial, it is possible to use section exit ramp Split λ represents, wherein λmax>=λ >=λmin.In this example, split scope [0.05,0.95], discharge charge are taken Span is [0,0.5] unit/kg,
(6.2) use an one-dimension array to store all of controlled variable, as a traffic control scheme, use Traffic control scheme is optimized and obtains new traffic control scheme by optimized algorithm.Described optimized algorithm include but not It is limited to genetic algorithm, particle cluster algorithm, simulated annealing.
(6.3) new control program is brought broad sense Impedance Function into, update roadlock, perform step (4), carry out new Macro-traffic Flow emulation once.
The issue of step (7) control program and enforcement
(7.1) issue new traffic control scheme by car-mounted terminal, make traveler in advance to trip mode and path Make planning.In this example, the traffic control scheme that final optimization pass obtains is shown in Table 5:
Table 5 traffic control scheme table
p1 p2 p3 p4 p5 p6 p7 p8 p9 p10 p11
0.01 0.34 0.44 0.13 0.47 0.18 0 0.41 0 0 0.41
p12 p13 p14 p15 p16 p17 λ1 λ2 λ3 λ4
0.31 0.28 0.12 0 0.09 0.45 0.41 0.59 0.35 0.65
Examples detailed above is not the restriction for the present invention, and the present invention is not limited only to above-described embodiment, as long as meeting Application claims, belongs to protection scope of the present invention.

Claims (7)

1. the multiple traffic control measure combined optimization method considering environmental benefit, it is characterised in that the method Comprise the following steps:
(1) traffic administration person determines that the scope of control area, Traffic Evaluation index and expection control effect.Described friendship Logical evaluation index can reflect road network overall operation situation, and takes into account road network operational efficiency and environmental benefit.
(2) road, vehicle, environment, traffic control scheme information in control area is obtained.
(3) Macro-traffic Flow emulation input data prediction.
(3.1) to the control area delimited in step (1), section therein sum and node total number are added up, and Number in order to each section and node.
(3.2) type of vehicle needing to control under every kind of mode of transportation is determined, obtained in step (2) Information of vehicle flowrate, the anti-transport need pushed away in control area, transport need is with number as ultimate unit.
(3.3) according to the road information obtained in step (2) and information of vehicle flowrate, in derivation control area every Section traffic capacity C under different modes of transportation.
(3.4) according to road information, it is thus achieved that the free stream velocity v in section.According to free stream velocity v and step (2) Road section length L of middle acquisition estimates every the section free stream time t under different modes of transportation0=L/v.
(3.5) according to road section capacity C and freely time t is flowed0Design section under different modes of transportation k time Between roadlock t.Wherein t is the function of mode of transportation k vehicle flowrate x on a of section, and function meets following condition: Monotonic increase and continuously differentiable;When flow is minimum, roadlock is close to zero flow impedance;Allow the existence of supersaturation flow.
(3.6) determine traffic control measure to be optimized and the concrete section of enforcement thereof or crossing, record current Control program.
(3.7) the traffic control measure to be optimized impact on time Impedance Function is determined, and by it with control variable Form is added in the mathematical expression of time Impedance Function, obtains broad sense Impedance Function c.
(3.8) according to pollutants in air concentration information measured in step (2), pollution to be controlled is determined Species type.
(3.9) to step (3.8) needs the pollutant that are controlled, according to step (2) obtains each The average discharge of these pollutant in the car unit interval, estimates under different mode of transportation these pollutant in control area In the range of average emission factors.
(4) Macro-traffic Flow emulation, specifically includes following sub-step:
(4.1) calculation times is set, n=1.
(4.2) according to the OD battle array of input, determine that the traffic under every kind of mode of transportation needs by Traffic mode split model Ask.Hypothesis made herein is that traveler uses same mode of transportation, midway not to hand over from initial point to terminal always The conversion of logical mode.Described Traffic mode split model uses the disaggregation theory in units of individual.
(4.3) mode of transportation k concrete to each, according to its average passenger occupancy m, by transport need number square Battle array QkBe converted to transport need vehicle number matrix qk.Conversion regime is qk=Qk/m。
(4.4) to each concrete mode of transportation k and transport need qk, hand over by Stochastic User Equilibrium Assignment Model The reduction of fractions to a common denominator is joined, and obtains link flow matrix xk,n.Distribution principle be: broad sense roadlock be determine Path selection unique because of Element;Broad sense roadlock is affected by traffic flow and traffic control measure;It is independent of each other between different modes of transportation.
(4.5) judge that calculation times n, whether more than 3, if n > 3, performs step (4.6);Otherwise n is added 1, According to the computing formula of broad sense Impedance Function, the link flow matrix in step (4.4) is brought into, update broad sense road Resistance, performs step (4.2), starts new assignment of traffic once.
(4.6) mode of transportation k concrete to each, by formulaCalculate its The meansigma methods of 2 assignment of traffic results of n, n 1, nAnd with the n-th 1, the meansigma methods of 3 assignment of traffic results of n 2, nRelatively.If the difference of the two is beyond the accuracy rating preset, road is described Net is not reaching to balance, needs to add 1 by n, according to the computing formula of broad sense Impedance Function, by step (4.4) Link flow matrix bring into, update broad sense roadlock, perform step (4.2), start new assignment of traffic the most once. If the difference of the two is in default accuracy rating, then judges that road network has reached balance, terminate to calculate.
(4.7) the traffic matrix x of each mode of transportation k is exportedk,n, road network overall travel time, different in road network The discharge capacity of type of contaminant.
(5) traffic control effect assessment
The result emulated by Macro-traffic Flow controls effect with the expection of traffic administration person in step (1) and compares. Index at least two relatively, a reflection road network overall operation efficiency, a reflection road network urban publiclife. If comparative result is not reaching to target, perform step (6);If reached, perform step (7).
(6) traffic control scheme optimization
(6.1) in the control program described in, including at least two kinds of traffic control measures.Each traffic control is arranged Execute, use one group of control variable to express, with the change of the change reflection traffic control scheme of the concrete numerical value of control variable.
(6.2) use an one-dimension array to store all of control variable, as a traffic control scheme, use Traffic control scheme is optimized and obtains new traffic control scheme by optimized algorithm.
(6.3) new traffic control scheme is brought broad sense Impedance Function into, update roadlock, perform step (4), enter The new Macro-traffic Flow emulation once of row.
(7) issue new traffic control scheme by car-mounted terminal, make traveler in advance trip mode and path be done Go out planning.
A kind of multiple traffic control measure combined optimization method considering environmental benefit the most according to claim 1, It is characterized in that, in described step 1, the feature of described control area is: be in city scope, zone boundary Clearly, intra-zone section is complete, including at least a signalized crossing, higher to air quality requirements and Pedestrian comes in and goes out frequently.
A kind of multiple traffic control measure combined optimization method considering environmental benefit the most according to claim 1, It is characterized in that, in described step 1, described road network operational efficiency all traveler overall travel times or total broad sense Trip spends and represents;Environmental benefit motor vehicle emission amount, pollutants in air concentration, air quality refers to Number represents.Intended control effect can be that the actual value of each index reaches expected value, it is also possible to is each index Actual change reach desired change.
A kind of multiple traffic control measure combined optimization method considering environmental benefit the most according to claim 1, It is characterized in that, described step 2 is specific as follows:
(2.1) serviced by commercial network map search, it is thus achieved that road network information in control area.Several including road What shape, number of track-lines, the syntopy between road section length L, and section.
(2.2) vehicle GPS in being networked by car, trackside license plate recognition device, obtain different on every section a friendship The vehicle flowrate x of logical mode k.
(2.3) vehicle-mounted discharge detection device in being networked by car, it is thus achieved that every kind of pollutant in each car unit interval Average discharge.
(2.4) control area internal contamination substrate concentration information is obtained by air quality monitoring stations point.
(2.5) Nei Ge section, control area and the traffic control scheme of crossing are obtained by traffic control system.
A kind of multiple traffic control measure combined optimization method considering environmental benefit the most according to claim 1, It is characterized in that, in described step 6, according to the feature of control variable, traffic control scheme be divided into discrete and connect Continuous two types.The control variable of discrete type traffic control scheme uses 01 variablees to represent;Type traffic continuously The control variable of management and control scheme is consecutive variations in the range of setting.
A kind of multiple traffic control measure combined optimization method considering environmental benefit the most according to claim 1, It is characterized in that, in described step 6.2, described optimized algorithm is genetic algorithm, particle cluster algorithm or simulated annealing Algorithm.
7. considering a multiple traffic control measure combined optimization system for environmental benefit, in system, all vehicles all connect Enter network, Che Yuche, Che Yulu, car and traffic control system, it is possible to achieve data and the transmission of information.It is special Levying and be, system includes that span of control delimited and Expected Results setting module, data acquisition module, and emulation data are pre- Processing module, Macro-traffic Flow emulation module, traffic control effect assessment module, design approach module, control Scheme processed is issued and implements module.
It is according to controlling requirement by traffic administration person that span of control delimit the function with Expected Results setting module, input Need to carry out the region of management and control stimulation optimization in city scope, and determine Traffic Evaluation index and the expection control in this region Effect processed.
The function of data acquisition module is to realize road, vehicle, environment, the collection of traffic control scheme and storage, And be connected with Macro-traffic Flow emulation module, it is achieved the transmission of data and sharing.
The function of emulation data preprocessing module is the data that data acquisition module transmits to be processed, and changes into energy The input parameter directly used by Macro-traffic Flow emulation module.
The function of Macro-traffic Flow emulation module is to receive the data that emulation data preprocessing module provides, and hands over reality Through-flow simulation, reproduces actual traffic network operation situation, and exports transportation network operation information to traffic control Effect assessment module.
The function of traffic control effect assessment module is that the transportation network receiving the output of Macro-traffic Flow emulation module is run Information, compares with the target of traffic administration person, it is judged that whether current road network ruuning situation reaches expection mesh Mark.If reaching target, then current feedback control scheme is exported and issue to control program and implement module;If It is not reaching to target, then current feedback control scheme is exported and be optimized to design approach module.
The function of design approach module is that the expection that is not reaching to receiving the output of traffic control effect assessment module is controlled The control program of target processed, is optimized the program, and the new departure after optimizing exports and imitates to Macro-traffic Flow True module, emulates again.
Control program issue with implement module function be receive traffic control effect assessment module send meet expection Control the control program of target, by control program external disclosure, and be applied in actual traffic control.
CN201610310512.7A 2016-05-11 2016-05-11 Consider a variety of traffic control measure combined optimization methods and system of environmental benefit Expired - Fee Related CN105894814B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610310512.7A CN105894814B (en) 2016-05-11 2016-05-11 Consider a variety of traffic control measure combined optimization methods and system of environmental benefit

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610310512.7A CN105894814B (en) 2016-05-11 2016-05-11 Consider a variety of traffic control measure combined optimization methods and system of environmental benefit

Publications (2)

Publication Number Publication Date
CN105894814A true CN105894814A (en) 2016-08-24
CN105894814B CN105894814B (en) 2018-05-08

Family

ID=56702746

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610310512.7A Expired - Fee Related CN105894814B (en) 2016-05-11 2016-05-11 Consider a variety of traffic control measure combined optimization methods and system of environmental benefit

Country Status (1)

Country Link
CN (1) CN105894814B (en)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107038863A (en) * 2017-05-17 2017-08-11 东南大学 A kind of urban road network broad sense right of way computational methods for considering comprehensive traffic management measure
CN107146411A (en) * 2017-06-06 2017-09-08 成都信息工程大学 Quantum behavior particle group optimizing method based on square Potential Trough Model
CN107977914A (en) * 2017-11-14 2018-05-01 东南大学 A kind of urban traffic control visually quantifies test method with control strategy
CN109035769A (en) * 2018-07-25 2018-12-18 深圳智达机械技术有限公司 A kind of information management system
CN109830104A (en) * 2019-03-06 2019-05-31 中南大学 A kind of analysis method of the intersection control efficiency based on macroscopical parent map
CN110164153A (en) * 2019-05-30 2019-08-23 哈尔滨理工大学 A kind of adaptive timing method of traffic signals
CN112687097A (en) * 2020-11-16 2021-04-20 招商新智科技有限公司 Highway highway section level data center platform system
CN113283809A (en) * 2021-06-29 2021-08-20 重庆交通大学 Logistics monitoring system for rural industry
CN114417614A (en) * 2022-01-20 2022-04-29 悉地(苏州)勘察设计顾问有限公司 Carbon emission reduction measurement and calculation method under space management and control measures of motor vehicles in central urban area
CN116504076A (en) * 2023-06-19 2023-07-28 贵州宏信达高新科技有限责任公司 Expressway traffic flow prediction method based on ETC portal data

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102004002808A1 (en) * 2003-03-07 2004-09-30 Volkswagen Ag Road traffic control system for controlling traffic lights incorporates data collected from observation vehicles, that is floating car data, to improve the control of traffic lights
CN104575036A (en) * 2015-01-28 2015-04-29 重庆云途交通科技有限公司 Regional signal control method based on dynamic OD flow prediction and simulating optimization
CN103593986B (en) * 2013-11-25 2015-12-02 东南大学 A kind of main line green wave coordination control signal time method optimizing exhaust emissions
CN105206070A (en) * 2015-08-14 2015-12-30 公安部交通管理科学研究所 Real-time road traffic signal coordination optimization control method and control system thereof
CN105243855A (en) * 2015-09-28 2016-01-13 大连理工大学 Crossing signal timing optimization method for reducing exhaust gas emission of motor vehicle
CN105390000A (en) * 2015-12-18 2016-03-09 天津通翔智能交通***有限公司 Traffic signal control system and method based on road condition traffic big data

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102004002808A1 (en) * 2003-03-07 2004-09-30 Volkswagen Ag Road traffic control system for controlling traffic lights incorporates data collected from observation vehicles, that is floating car data, to improve the control of traffic lights
CN103593986B (en) * 2013-11-25 2015-12-02 东南大学 A kind of main line green wave coordination control signal time method optimizing exhaust emissions
CN104575036A (en) * 2015-01-28 2015-04-29 重庆云途交通科技有限公司 Regional signal control method based on dynamic OD flow prediction and simulating optimization
CN105206070A (en) * 2015-08-14 2015-12-30 公安部交通管理科学研究所 Real-time road traffic signal coordination optimization control method and control system thereof
CN105243855A (en) * 2015-09-28 2016-01-13 大连理工大学 Crossing signal timing optimization method for reducing exhaust gas emission of motor vehicle
CN105390000A (en) * 2015-12-18 2016-03-09 天津通翔智能交通***有限公司 Traffic signal control system and method based on road condition traffic big data

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
CIYUN LIN等: "Low Emissions and Delay Optimization for an Isolated Signalized Intersection Based on Vehicular Trajectories", 《PLOS ONE》 *
SHENPEI ZHOU等: "Optimization Model for Traffic Signal Control with Environmental Objectives", 《FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION》 *

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107038863A (en) * 2017-05-17 2017-08-11 东南大学 A kind of urban road network broad sense right of way computational methods for considering comprehensive traffic management measure
CN107038863B (en) * 2017-05-17 2020-02-18 东南大学 Urban road network generalized road right calculation method considering comprehensive traffic management measures
CN107146411A (en) * 2017-06-06 2017-09-08 成都信息工程大学 Quantum behavior particle group optimizing method based on square Potential Trough Model
CN107977914B (en) * 2017-11-14 2020-01-24 东南大学 Urban traffic management and control strategy visual quantitative test method
CN107977914A (en) * 2017-11-14 2018-05-01 东南大学 A kind of urban traffic control visually quantifies test method with control strategy
CN109035769A (en) * 2018-07-25 2018-12-18 深圳智达机械技术有限公司 A kind of information management system
CN109830104A (en) * 2019-03-06 2019-05-31 中南大学 A kind of analysis method of the intersection control efficiency based on macroscopical parent map
CN110164153A (en) * 2019-05-30 2019-08-23 哈尔滨理工大学 A kind of adaptive timing method of traffic signals
CN112687097A (en) * 2020-11-16 2021-04-20 招商新智科技有限公司 Highway highway section level data center platform system
CN113283809A (en) * 2021-06-29 2021-08-20 重庆交通大学 Logistics monitoring system for rural industry
CN113283809B (en) * 2021-06-29 2024-02-20 重庆交通大学 Logistics monitoring system for rural industry
CN114417614A (en) * 2022-01-20 2022-04-29 悉地(苏州)勘察设计顾问有限公司 Carbon emission reduction measurement and calculation method under space management and control measures of motor vehicles in central urban area
CN114417614B (en) * 2022-01-20 2023-10-27 悉地(苏州)勘察设计顾问有限公司 Carbon emission reduction measuring and calculating method under central urban motor vehicle space management and control measure
CN116504076A (en) * 2023-06-19 2023-07-28 贵州宏信达高新科技有限责任公司 Expressway traffic flow prediction method based on ETC portal data

Also Published As

Publication number Publication date
CN105894814B (en) 2018-05-08

Similar Documents

Publication Publication Date Title
CN105894814A (en) Joint optimization method and system for multiple traffic management and control measures in consideration of environmental benefits
Donkers et al. Influence of driving style, infrastructure, weather and traffic on electric vehicle performance
Pouresmaeili et al. Development of Mashhad driving cycle for passenger car to model vehicle exhaust emissions calibrated using on-board measurements
Lyu et al. Review of the studies on emission evaluation approaches for operating vehicles
CN103678917B (en) A kind of real-time arrival time Forecasting Methodology of public transport based on simulated annealing
Othman et al. Ecological traffic management: A review of the modeling and control strategies for improving environmental sustainability of road transportation
CN105355049B (en) A kind of highway evaluation of running status method based on macroscopical parent map
Zhang et al. Vehicle emission inventories projection based on dynamic emission factors: a case study of Hangzhou, China
Fiori et al. Optimum routing of battery electric vehicles: Insights using empirical data and microsimulation
CN104112357B (en) A kind of urgent emergency planning method of city area-traffic of severe haze weather
Song et al. Delay correction model for estimating bus emissions at signalized intersections based on vehicle specific power distributions
CN103116608A (en) Method of reproducing traffic flow on express way
CN104361460A (en) Road service level evaluation method adopting fuzzy synthetic evaluation method
Salamati et al. Simplified method for comparing emissions in roundabouts and at signalized intersections
CN107704976A (en) Urban family transportation emission forecasting of discharged quantity method based on resident trip survey
Ryu et al. Development of a corrected average speed model for calculating carbon dioxide emissions per link unit on urban roads
CN112967493A (en) Neural network-based prediction method for vehicle passing intersection travel time
CN110633558A (en) Urban traffic system modeling system
CN110738367A (en) traffic exhaust emission prediction method based on deep residual error network
Oswald et al. Evaluating the environmental impacts of connected and automated vehicles: Potential shortcomings of a binned-based emissions model
CN111126878B (en) Urban traffic operation evaluation method based on ecological index
Stevanovic et al. Environmental benefits of adaptive traffic control system: Assessment of fuel consumption and vehicular emissions
Yao et al. VSP‐based emission factor calibration and signal timing optimisation for arterial streets
Pronello et al. Pollutant emissions estimation in road transport models
CN102789688B (en) Method for acquiring quantity of pollutants discharged by city vehicles

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20180508

Termination date: 20200511

CF01 Termination of patent right due to non-payment of annual fee