CN105185103B - A kind of management control method of Link Travel Time - Google Patents
A kind of management control method of Link Travel Time Download PDFInfo
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Abstract
The invention discloses a kind of management control method of Link Travel Time, comprise the following steps, S01：Traffic data is gathered using SCOOT classes traffic control system and is handled；S02：Traffic data is gathered using global position system and is handled；S03：The SCOOT classes traffic control system is merged with the traffic data that the global position system is transferred to using the converged services device, and generates fusion output result；S04：Using the converged services device Traffic information demonstration, Intelligent Dynamic system for traffic guiding are sent to by output result is merged.The present invention greatly reduces the procurement cost of dynamic information without additionally putting into；Overcome the Link Travel Time caused by the reason such as SCOOT class traffic control system data samplings interval is inconsistent and obtain and lack the problems such as good data basis, global position system matching effect near intersection be bad.
Description
Technical field
It is particularly a kind of to be based on SCOOT classes traffic control system and defend the present invention relates to a kind of technical field of intelligent traffic
The management control method of the Link Travel Time of star alignment system.
Background technology
Link Travel Time is reflection road traffic state effective traffic parameter the most directly perceived, is to carry out congested in traffic pipe
The important foundation of reason and dynamic path guidance.At present, the acquisition methods of Link Travel Time can be divided on the whole directly collection and
Two kinds of indirect gain.Wherein, direct acquisition method needs the terminus in each section to lay Car license recognition facility, it is required into
Ben Taigao, it is difficult to realize in Practical Project.Therefore, the indirect gain method based on other traffic datas is always the world
One of the important subject in traffic engineering field.
SCOOT (Split, Cycle, Offset Optimization Technique) system, i.e. " split, signal week
Away from optimisation technique when phase and green light are started to walk ", it is one of control system the most advanced in the world, Beijing, Guangzhou, the Shenzhen in China
Etc. many big or middle cities using system control urban transportation, have accumulated and by the substantial amounts of traffic data of persistent accumulation.In view of
Control effect excellent SCOOT, domestic and international correlative study person develop some traffic signalizations similar with SCOOT in succession again
System, these systems use the wagon detector layout scheme and timing designing algorithm similar to SCOOT, of the invention by it
SCOOT class traffic signal control systems are referred to as with SCOOT systems.With global positioning system (Global position
System, GPS), the satellite such as Beidou satellite navigation system (BeiDou Navigation Satellite System, BDS)
Position system field of traffic widespread adoption, mobile unit be widely used to the vehicles such as taxi, logistic car, bus tune
Degree, monitoring and navigation etc., equally have accumulated substantial amounts of data.Both data sources have turned into mostly important in urban road
Traffic data collection means, journey time is calculated using it, for low cost improve traffic control, traffic guidance and
The harmony of point duty has important practical significance.
But because SCOOT classes traffic control system is using long green light time as time interval acquisition traffic data, and long green light time
It is the parameter of time-varying again, so as to reduce the comparativity of each time interval traffic data so that Link Travel Time, which obtains, to be lacked
Good data basis.Presently relevant achievement in research is also less, and assumes that SCOOT class traffic control system wagon detectors
Traffic data can be provided according to the sampling interval of certain fixation, or even premised on it there is no some data that method provides at present,
These hypothesis do not meet the actual conditions of SCOOT class traffic control systems, or are difficult to add by engineering means in a short time
To realize.
For global position system, Floating Car sample size be determine Link Travel Time obtain effect it is crucial because
Element, but because system operation cost determines that Floating Car vehicle is often relatively simple, the vehicle composition of traffic flow is more complicated,
Different type vehicle has different operation characteristics, and therefore, the operation conditions of Floating Car is difficult to the entirety for representing traffic flow completely
Situation.Further, since trees, pile and tunnel etc. block to satellite-signal, GPS can be caused in some localities
Check frequency, it can equally reduce the calculating effect of Link Travel Time.It in addition, there will be research to show, due to the shadow of signal control
Ring, vehicle loiters near intersection, causes map match ineffective, and then causes Link Travel Time to obtain effect
It is bad.
The content of the invention
The purpose of the present invention is：A kind of management control method of Link Travel Time is provided, it is directed to due to SCOOT classes
Link Travel Time caused by the reasons such as traffic control system data sampling interval is inconsistent, which obtains, lacks good data base
The problems such as plinth, propose a kind of Link Travel Time acquisition methods effectively based on SCOOT class traffic control system data；For
Link Travel Time output effect caused by the reason such as sample size and subregion map match difficulty is bad to ask
Topic, propose a kind of effectively Link Travel Time acquisition methods based on global position system data；Based on above two data
The Link Travel Time output result in source, a kind of Urban road journey time fusion acquisition methods are proposed, are further improved
The output effect of Link Travel Time.
Reaching the technical scheme of above-mentioned purpose is：A kind of management control method of Link Travel Time, it includes following step
Suddenly,
S01：Gathered and traffic data and handled using SCOOT classes traffic control system, and by the traffic after processing
Data are sent to converged services device；
S02：Traffic data is gathered using global position system and is handled, and the traffic data after processing is sent
To converged services device；
S03：The SCOOT classes traffic control system is passed with the global position system using the converged services device
The traffic data being handed to is merged, and generates fusion output result；
S04：Using the converged services device will merge output result is sent to Traffic information demonstration, Intelligent Dynamic traffic lures
Guiding systems.
The step S01 comprises the following steps,
S011：The first space scale obtained using SCOOT classes traffic control system to Link Travel Time and when first
Between yardstick be determined extraction；
S012：In periodic intervals, the traffic data at crossing is gathered, and it is uploaded to traffic using communication system
The information server of the SCOOT classes traffic control system of information centre, the traffic data include traffic parameter data and
Traffic signalization data, the traffic parameter data include the magnitude of traffic flow, average speed, occupation rate；The traffic signals control
Data processed include cycle duration, long green light time；
S013：Actual traffic data are virtually handed over using the information server of the SCOOT classes traffic control system
Logical data sequence structure；
S014：Model is obtained using BP neural network design Link Travel Time first, generates the of Link Travel Time
One output result, and the first output result is sent to the converged services device.
Road of first space scale between continuous two stop lines reverse extending line in the step S011.
The step S013 comprises the following steps,
S0131：Traffic parameter data are converted；
The step S0131 comprises the following steps,
S01311：The conversion of the magnitude of traffic flow：
If vehicle uniformly reaches, shown in the unit interval interior vehicle number equation below passed through：
In formula, CiAnd q (s)i(s) be respectively i-th of time interval of actual traffic data sequence cycle and the magnitude of traffic flow；For the vehicle number passed through in the unit time；
Then the magnitude of traffic flow is from the mapping relations that the conversion of actual traffic data sequence is virtual traffic data sequence：
Wherein, qj(x) it is the total flow of j-th of time interval of virtual traffic data sequence；tiFor virtual traffic data sequence
J-th of time interval is located at the duration of i-th of time interval of actual traffic data sequence；N is virtual traffic data sequence j-th
Time interval takes the number of actual traffic data sequence；
S01312：Average speed is converted；
Average speed refers to the average value of vehicle spot speed, and it is virtual traffic data that it is converted from actual traffic data sequence
The mapping relations of sequence are：
Wherein, vj(x) it is the average speed of j-th of time interval of virtual traffic data sequence；vi(s) it is actual traffic number
According to the average speed of i-th of time interval of sequence,For the vehicle number passed through in the unit time； tiFor virtual traffic parameter
J-th of time interval position of data sequence and the duration of i-th of time interval of actual traffic data sequence；
S01313：Occupation rate is converted；
Occupation rate refers to the time accumulated value of vehicle occupancy and the ratio of minute, and it rolls over from actual traffic data sequence
The mapping relations calculated as virtual traffic data sequence are：
Wherein, oj(x) it is the occupation rate of j-th of time interval of virtual traffic data sequence；oi(s) it is actual traffic data
The occupation rate of i-th of time interval of sequence, tiFor j-th of time interval position of virtual traffic supplemental characteristic sequence and actual traffic number
According to the duration of i-th of time interval of sequence；
S0132：Traffic signalization data are converted,
The step S0132 comprises the following steps,
S01321：Cycle duration and long green light time conversion,
The mode that the optimization of SCOOT class traffic control system timing parameters adjusts using continuous micro, adjacent signals
Long green light time and the cycle duration change in cycle are smaller, and cycle duration and long green light time are converted as void from actual traffic data sequence
Intend traffic data sequence mapping relations be：
Wherein, gj(x)、Cj(x) it is respectively the average long green light time of j-th of time interval of virtual traffic data sequence, is averaged
Cycle duration；gi(s) it is the long green light time of i-th of time interval of actual traffic data sequence, Ci(s) it is actual traffic data sequence
I-th of periodic intervals of row.
The BP neural network in the step S014 is three layers of BP neural network for including hidden layer, and it is trained
Function uses Sigmiod functions；Training error uses root-mean-square error RMSE.
The step S02 comprises the following steps,
S021：The second space yardstick and the second time scale obtained using global position system to Link Travel Time is entered
Row determines extraction, and its second space yardstick is consistent with the first space scale, its very first time yardstick and very first time yardstick phase
Unanimously；
S022：In certain sampling time interval, the various Information Numbers of mobile unit are gathered using global position system
According to, and by communication apparatus, by the global position system of the various uploading information datas of mobile unit to traffic information center
Information server；
S023：Using the information server and generalized information system of global position system, to the running time of basic road stroke with
And intersection delay time design second obtains model, the second output result of Link Travel Time is generated, and second is exported
As a result it is sent to the converged services device.
The step S023 comprises the following steps,
S0231：Design the model of the time of vehicle operation of basic road；
The step S0231 comprises the following steps,
S02311：Bicycle basic road running time calculates,
The traveling assuming that vehicle remains a constant speed between adjacent positioned point, then the section border moment extraction formula be
Wherein, t " (t), t ' (t+1) represent current road segment terminal border moment and downstream road section starting point border moment respectively；
T (t), t (t-n (t)) represent the positioning moment of current matching point and previous matching point data respectively； L′(t)、L′(t-n(t))
Current matching point and previous matching point data and the distance on current road segment terminal border are represented respectively；
Then bicycle basic road running time calculation formula is
T '=t "-t '
Wherein：T ' is single sample car basic road running time；T " and t ' is respectively that sample car plays end edge by section
At the time of boundary；
S02312：Sample car basic road running time calculates,
Sample car basic road running time refers to the basic road of all bicycles Jing Guo specific road section in special time yardstick
The average level of section running time, the average of bicycle basic road running time can be directly taken, i.e.,
Wherein,For sample car basic road running time；
S02313：Traffic flow basic road running time calculates,
Traffic flow basic road running time refers to the basic road of all vehicles Jing Guo specific road section in special time yardstick
Section the running time time average level, use statistical analysis calculation formula for
Wherein：T(l1) it is traffic flow basic road running time；F is the regression function established using regression analysis；
S0232：Design intersection delay time model；
The step S0232 comprises the following steps,
S02321：The intersection delay time calculates,
Intersection delay is estimated using Robert Webster formula, i.e.,
Wherein,For the intersection delay time, C is cycle duration；G is long green light time；Q is the magnitude of traffic flow；U is green letter
Than i.e. g/C；X is saturation degree, i.e. (q × C)/(s × g)；S is saturation volume rate.
S0233：Link Travel Time calculates；Link Travel Time is basic road running time and intersection delay time
Sum, i.e.,
The advantages of above-mentioned technical proposal is：The management control method of Link Travel Time of the present invention, without extra input, pole
The earth reduces the procurement cost of dynamic information；Overcome due to SCOOT class traffic control system data samplings interval not
Link Travel Time caused by the reason such as consistent, which obtains, lacks the problems such as good data basis, improves Link Travel Time
Output effect；The Link Travel Time caused by the reason such as sample size and subregion map match difficulty is overcome to obtain
Ineffective problem is taken, improves Link Travel Time output effect；Fusion based on two kinds of data sources obtains model and enters one
Step improves the output effect of Link Travel Time, and then is remarkably improved traffic signalization, transport information guiding and traffic
The coordination degree of commander, stronger decision support is provided to improve congested in traffic effect of dredging to greatest extent.
Brief description of the drawings
The invention will be further described with reference to the accompanying drawings and examples.
The overview flow chart of the Link Travel Time management control method of Fig. 1 embodiment of the present invention.
The Link Travel Time based on SCOOT class traffic control systems of Fig. 2 embodiment of the present invention obtains flow chart.
The Link Travel Time based on global position system of Fig. 3 embodiment of the present invention obtains flow chart.
The space scale of the SCOOT class traffic control systems of Fig. 4 embodiment of the present invention determines schematic diagram.
The SCOOT class traffic control system cycles of Fig. 5 embodiment of the present invention and long green light time schematic diagram.
The BP neural network model structure based on SCOOT class traffic control systems of Fig. 6 embodiment of the present invention.
The section border moment extracting method schematic diagram based on global position system of Fig. 7 embodiment of the present invention.
Fig. 8 is that the Link Travel Time fusion of the embodiment of the present invention obtains flow chart.
Embodiment
Embodiment：As shown in figure 1, a kind of management control method of Link Travel Time, wherein used by the present embodiment
Traffic information collection subsystem in City ITS is mainly by airfield equipment, communication system and traffic information center
The part such as associated server forms, concrete operations flow 3 modules included below.
1st, based on SCOOT class traffic control systems：The space scale and time scale obtained to Link Travel Time is carried out
It is determined that；Using communication system, using the cycle as time interval, the traffic parameter data at crossing and signal lamp arrangement information are uploaded to
Traffic information center SCOOT class traffic control system information servers；SCOOT class traffic control system information servers are to reality
Traffic data sequence carries out virtual traffic data sequence structure；SCOOT class traffic control systems information server utilizes section row
The journey time obtains model, generates Link Travel Time output result, and be sent to converged services device.
2nd, based on global position system：The space scale and time scale obtained to Link Travel Time is determined；Car
Equipment is carried at a certain time interval, by Wireless Telecom Equipment, by car number, car plate, precision, latitude, instantaneous velocity, side
Traffic information center global position system information server is uploaded to the field such as angle and positioning time；Global position system is believed
Server combination GIS (Geographic Information System, the GIS) system of breath, utilizes basic road proposed by the present invention
Section running time and intersection delay time obtain model, generate Link Travel Time output result, and are sent to fusion clothes
Business device.
3rd, Link Travel Time fusion acquisition module：Wherein converged services device receives the link travel based on two kinds of data sources
Time output result, merged using Link Travel Time and obtain model, generation fusion output result, and it is sent to transport information hair
The follow-up subsystem of the intelligent transportation systems such as cloth, dynamic traffic guidance, supported to provide data for it.
The management control method of the Link Travel Time of the present embodiment, it comprises the following steps.
S01：Gathered and traffic data and handled using SCOOT classes traffic control system, and by the traffic after processing
Data are sent to converged services device.
As shown in Fig. 2 the step S01 comprises the following steps.
As shown in figure 4, S011：Using SCOOT classes traffic control system to the first space scale of link travel and first
Time scale is determined extraction；The first space scale in the step S011 for continuous two stop line reverse extendings line it
Between road.
Specifically：The first space scale that Link Travel Time obtains determines that method refers to, track upstream stop line is anti-
The border divided to extension line position as section, is referred to as road by the road between continuous two stop lines reverse extending line
Section；The very first time yardstick that Link Travel Time obtains determines that method refers to, considers described virtual traffic data sequence
The minimum mental habit with traveler of road network total delay caused by structure, it is proposed that be advisable with 150s or 300s.
S012：In periodic intervals, the traffic data at crossing is gathered, and it is uploaded to traffic using communication system
The information server of the SCOOT classes traffic control system of information centre, the traffic data include traffic parameter data and
Traffic signalization data, the traffic parameter data include the magnitude of traffic flow, average speed, occupation rate；The traffic signals control
Data processed include cycle duration, long green light time.
S013：Actual traffic data are virtually handed over using the information server of the SCOOT classes traffic control system
Logical data sequence structure.SCOOT class traffic control system virtual traffics data sequence structure refers to, is closed by corresponding conversion
System, it is the virtual traffic data sequence of set time yardstick by the actual traffic data sequence conversion of dynamic change, specifically includes
The conversion of the magnitude of traffic flow, average speed, occupation rate and traffic control parameter etc..
Wherein, 1) space scale that Link Travel Time obtains determines method：SCOOT classes traffic control system using crossing as
Smallest record unit, acquired traffic data include traffic signalization data and traffic parameter data two types.Its
In, the former mainly includes cycle, green time etc.；The latter mainly includes the magnitude of traffic flow, average speed and occupation rate etc..
The wagon detector of SCOOT class traffic control systems is laid near the stop line reverse extending line position of track upstream, traffic ginseng
The sampling interval of number data is long green light time.In order to make full use of the basic data of SCOOT class traffic control systems, by car
The border that road upstream stop line reverse extending line position divides as section, by between continuous two stop lines reverse extending line
Road is referred to as section.
2) time scale that Link Travel Time obtains determines method：Virtual traffic data sequence and actual traffic data sequence
The inconsistent of row time interval can cause corresponding data extraction point difference, so as to produce regular hour delay.
When determining the time scale of Link Travel Time Estimation, the minimum mental habit with traveler of road network total delay should be considered,
It is recommended that it is advisable with 150s or 300s.
Specific step is as follows.
The step S013 comprises the following steps.
S0131：Traffic parameter data are converted.The step S0131 comprises the following steps.
S01311：The conversion of the magnitude of traffic flow.
If vehicle uniformly reaches, the vehicle number such as formula (1) passed through in the unit interval is shown：
Wherein, C in formulaiAnd C (s)i(s) it is respectively i-th of periodic intervals of actual traffic data sequence, the magnitude of traffic flow；For the vehicle number passed through in the unit time.
Then the magnitude of traffic flow is from the mapping relations that the conversion of actual traffic data sequence is virtual traffic data sequence：
Wherein, qj(x) it is the total flow of j-th of time interval of virtual traffic data sequence；tiFor virtual traffic supplemental characteristic
J-th of time interval position of sequence and the duration of i-th of time interval of actual traffic data sequence；N is virtual traffic data sequence
J-th of time interval takes the number of actual traffic data sequence.
S01312：Average speed is converted.
Average speed refers to the average value of vehicle spot speed, and it is virtual traffic data that it is converted from actual traffic data sequence
The mapping relations of sequence are：
Wherein, vj(x) it is the average speed of j-th of time interval of virtual traffic data sequence；vi(s) it is actual traffic number
According to the average speed of i-th of time interval of sequence,For the vehicle number passed through in the unit time； tiFor virtual traffic parameter
J-th of time interval position of data sequence and the duration of i-th of time interval of actual traffic data sequence.
S01313：Occupation rate is converted.
Occupation rate refers to the time accumulated value of vehicle occupancy and the ratio of minute, and it rolls over from actual traffic data sequence
The mapping relations calculated as virtual traffic data sequence are：
Wherein, oj(x) it is the occupation rate of j-th of time interval of virtual traffic data sequence；oi(s) it is actual traffic data
The occupation rate of i-th of time interval of sequence, tiFor j-th of time interval position of virtual traffic supplemental characteristic sequence and actual traffic number
According to the duration of i-th of time interval of sequence；
As shown in figure 5, S0132：Traffic signalization data are converted, and the step S0132 comprises the following steps.
S01321：Cycle duration and long green light time conversion.
The mode that the optimization of SCOOT class traffic control system timing parameters adjusts using continuous micro, adjacent signals
Long green light time and the cycle duration change in cycle are smaller, and cycle duration and long green light time are converted as void from actual traffic data sequence
Intend traffic data sequence mapping relations be：
Wherein, gj(x)、Cj(x) it is respectively the average long green light time of j-th of time interval of virtual traffic data sequence, is averaged
Cycle duration；gi(s) it is the long green light time of i-th of time interval of actual traffic data sequence, Ci(s) it is actual traffic data sequence
I-th of periodic intervals of row.
Virtual traffic data sequence can cause corresponding data to carry with the inconsistent of actual traffic data sequence time interval
A little difference is taken, so as to which regular hour delay can be produced.It is determined that Link Travel Time simulation time scale when, Ying Zong
Close and consider the minimum mental habit with traveler of road network total delay, it is proposed that be advisable with 150s or 300s.
The BP neural network in the step S014 is three layers of BP neural network for including hidden layer, and it is trained
Function uses Sigmiod functions；Training error uses root-mean-square error RMSE.
It is as shown in fig. 6, specific：Link Travel Time based on SCOOT class traffic control systems obtains model and referred to, structure
Three layers of BP neural network containing a hidden layer are built, with the virtual traffic data sequence of SCOOT class traffic signal control systems
As input, including the magnitude of traffic flow, average speed, occupation rate, long green light time and cycle duration totally 5 parameters；With identical sky
Between and time scale Link Travel Time as output；Principle of the hidden nodes according to (2 × input neuron number -1)
It is arranged to 9；Training function uses Sigmiod functions；Training error uses root-mean-square error RMSE.
S014：Model is obtained using BP neural network design Link Travel Time first, generates the of Link Travel Time
One output result, and the first output result is sent to the converged services device.
BP neural network is one of neutral net being most widely used at present, its have study and a large amount of inputs of storage-
The characteristic of output mode mapping relations, and without disclosing the mathematical modeling of this mapping relations of description in advance, the present invention will be with it
Based on establish Link Travel Time simulation model.
Because three layers of BP neural network containing a hidden layer can approach any non-linear continuous function, therefore will be hidden
The number of plies is set to 1.Using the virtual traffic data sequence of the SCOOT class traffic signal control systems of foregoing structure as input, including
The magnitude of traffic flow, average speed, occupation rate, long green light time and cycle duration totally 5 parameters；With same space and time scale
Link Travel Time is as output；Hidden nodes are arranged to 9 according to the principle of (2 × input neuron number -1)；Train letter
Number uses Sigmiod functions；Training error uses root-mean-square error RMSE.
S02：Traffic data is gathered using global position system and is handled, and the traffic data after processing is sent
To converged services device.
There is good data basis, global position system module sky in order that obtaining Link Travel Time fusion and obtaining model
Between yardstick and time scale it is consistent with SCOOT class traffic control system modules.
In order to solve the problems, such as that global position system application effect near intersection is bad, Link Travel Time is divided
For natural link travel time and intersection delay time two parts, and propose to calculate this two-part journey time, l respectively1
For natural road section length, l2For intersection segment length, the two so that starting point is canalized as separation, typically using real road investigation as
Standard, for the road of no canalization section, trunk roads, secondary distributor road, branch road take 70~90m, 50~70m, 30 apart from stop line respectively
~40m.
As shown in figure 3, the step S02 comprises the following steps.
S021：The space scale and time scale and SCOOT classes that Link Travel Time based on global position system obtains
Traffic control system is consistent.Wherein, the second space yardstick obtained using global position system to Link Travel Time and
Two time scales are determined extraction, and its second space yardstick is consistent with the first space scale, its very first time yardstick and
One time scale is consistent.
S022：In certain sampling time interval, the various Information Numbers of mobile unit are gathered using global position system
According to, and by communication apparatus, by the global position system of the various uploading information datas of mobile unit to traffic information center
Information server.
S023：Using the information server and generalized information system of global position system, running time and friendship to basic road
The prong delay time at stop designs the second simulation model, generates the second output result of Link Travel Time, and by the second output result
It is sent to the converged services device.Link Travel Time based on global position system data obtains model and referred to, by section row
The journey time is divided into nature link travel time and intersection delay time two parts, and when calculating this two-part stroke respectively
Between.
1st, basic road running time, which obtains, includes the acquisition of bicycle basic road running time, sample car basic road traveling
Time obtains and traffic flow basic road running time obtains three parts；
2nd, intersection delay is calculated using Robert Webster formula.Specific step is as follows.
The step S023 comprises the following steps.
S0231：Design basic road running time and obtain model.
The step S0231 comprises the following steps.
S02311：Bicycle basic road running time calculates.
As shown in fig. 7, global position system data can typically provide car number, car plate, precision, latitude, instantaneous velocity,
The field such as deflection and positioning time, it is specific as shown in table 1.
The global position system data instance of table 1.
The traveling assuming that vehicle remains a constant speed between adjacent positioned point, then the section border moment extraction formula be
Wherein, t " (t), t ' (t+1) represent current road segment terminal border moment and downstream road section starting point border moment respectively；
T (t), t (t-n (t)) represent the positioning moment of current matching point and previous matching point data respectively； L′(t)、L′(t-n(t))
Current matching point and previous matching point data and the distance on current road segment terminal border are represented respectively；
Then bicycle basic road running time calculation formula is
T '=t "-t ' (8)
Wherein：T ' is single sample car basic road running time；T " and t ' is respectively that sample car plays end edge by section
At the time of boundary.
S02312：Sample car basic road running time calculates.
Sample car basic road running time refers to the basic road of all bicycles Jing Guo specific road section in special time yardstick
The average level of section running time, the average of bicycle basic road running time can be directly taken, i.e.,
Wherein,For sample car basic road running time.
S02313：Traffic flow basic road running time calculates.
Traffic flow basic road running time refers to the basic road of all vehicles Jing Guo specific road section in special time yardstick
Section the running time time average level, use statistical analysis calculation formula for
Wherein：T(l1) it is traffic flow basic road running time；F is the regression function established using regression analysis；
S0232：Design intersection delay time model；The step S0232 comprises the following steps.
S02321：The intersection delay time calculates.
Intersection delay is estimated using Robert Webster formula, i.e.,
Wherein,For the intersection delay time, C is cycle duration；G is long green light time；Q is the magnitude of traffic flow；U is green letter
Than i.e. g/C；X is saturation degree, i.e. (q × C)/(s × g)；For saturation volume rate.
S0233：Link Travel Time calculates；Link Travel Time is basic road running time and intersection delay time
Sum, i.e.,
S03：The SCOOT classes traffic control system is passed with the global position system using the converged services device
The traffic data being handed to is merged, and generates fusion output result.
As shown in figure 8, the step S03 comprises the following steps.
S031：Build three layers of BP neural network containing a hidden layer.
S032：Exported with first output result of SCOOT class traffic signal control systems, global position system second
As a result and sample car quantity is as input.
S033：Output is used as using the Link Travel Time of same space and time scale.
Specifically：Link Travel Time fusion obtains model and referred to, builds three layers of BP nerve nets containing a hidden layer
Network, with SCOOT class traffic signal control system modules result of calculation, global position system module result of calculation and sample car number
Amount is as input；Output is used as using the Link Travel Time of same space and time scale；Hidden nodes foundation (2 × defeated
Enter neuron number -1) principle be arranged to 5；Training function uses Sigmiod functions；Training error uses root-mean-square error
RMSE。
S04：Using the converged services device will merge output result is sent to Traffic information demonstration, Intelligent Dynamic traffic lures
Guiding systems.
It should be pointed out that for the present invention through absolutely proving, can also have the embodiment of a variety of conversion and remodeling,
It is not limited to the specific embodiment of above-mentioned embodiment.Above-described embodiment as just the present invention explanation, rather than to this
The limitation of invention.In a word, it is apparent to those skilled in the art should to include those for protection scope of the present invention
Conversion.
Claims (8)
- A kind of 1. management control method of Link Travel Time, it is characterised in that：It comprises the following steps,S01：Gathered and traffic data and handled using SCOOT classes traffic control system, and by the traffic data after processing Send to converged services device；S02：Gathered and traffic data and handled using global position system, and the traffic data after processing is sent to melting Hop server；S03：The SCOOT classes traffic control system is transferred to the global position system using the converged services device Traffic data merged, and generate fusion output result；S04：Using the converged services device Traffic information demonstration, Intelligent Dynamic traffic guidance system are sent to by output result is merged System；The step S01 comprises the following steps,S011：The first space scale and very first time chi obtained using SCOOT classes traffic control system to Link Travel Time Degree is determined extraction；S012：In periodic intervals, the traffic data at crossing is gathered, and it is uploaded to transport information using communication system The information server of the SCOOT classes traffic control system at center, the traffic data include traffic parameter data and traffic Signal control data, the traffic parameter data include the magnitude of traffic flow, average speed, occupation rate；The traffic signalization number According to including cycle duration, long green light time；S013：Virtual traffic number is carried out to actual traffic data using the information server of the SCOOT classes traffic control system According to sequence construct；S014：Model is obtained using BP neural network design Link Travel Time first, generate Link Travel Time first is defeated Go out result, and the first output result is sent to the converged services device.
- 2. the management control method of Link Travel Time according to claim 1, it is characterised in that：In the step S011 Road of first space scale between continuous two stop lines reverse extending line.
- 3. the management control method of Link Travel Time according to claim 1, it is characterised in that：The step S013 bags Include following steps,S0131：Traffic parameter data are converted；The step S0131 comprises the following steps,S01311：The conversion of the magnitude of traffic flow：If vehicle uniformly reaches, shown in the unit interval interior vehicle number equation below passed through：In formula, CiAnd q (s)i(s) be respectively i-th of time interval of actual traffic data sequence cycle and the magnitude of traffic flow； For the vehicle number passed through in the unit time；Then the magnitude of traffic flow is from the mapping relations that the conversion of actual traffic data sequence is virtual traffic data sequence：Wherein, qj(x) it is the total flow of j-th of time interval of virtual traffic data sequence；tiFor virtual traffic data sequence jth Individual time interval is located at the duration of i-th of time interval of actual traffic data sequence；When n is virtual traffic data sequence j-th Between interval take actual traffic data sequence number；S01312：Average speed is converted；Average speed refers to the average value of vehicle spot speed, and it is virtual traffic data sequence that it is converted from actual traffic data sequence Mapping relations be：Wherein, vj(x) it is the average speed of j-th of time interval of virtual traffic data sequence；vi(s) it is actual traffic data sequence The average speed of i-th of time interval of row,For the vehicle number passed through in the unit time；tiFor virtual traffic supplemental characteristic sequence J-th of time interval position of row and the duration of i-th of time interval of actual traffic data sequence；S01313：Occupation rate is converted；Occupation rate refers to the time accumulated value of vehicle occupancy and the ratio of minute, and it is from the conversion of actual traffic data sequence The mapping relations of virtual traffic data sequence are：Wherein, oj(x) it is the occupation rate of j-th of time interval of virtual traffic data sequence；oi(s) it is actual traffic data sequence The occupation rate of i-th of time interval, tiFor j-th of time interval position of virtual traffic supplemental characteristic sequence and actual traffic data sequence The duration of i-th of time interval of row；S0132：Traffic signalization data are converted,The step S0132 comprises the following steps,S01321：Cycle duration and long green light time conversion,The mode that the optimization of SCOOT class traffic control system timing parameters adjusts using continuous micro, adjacent signals cycle Long green light time and cycle duration change it is smaller, cycle duration and long green light time are handed over from the conversion of actual traffic data sequence to be virtual The mapping relations of logical data sequence are：Wherein, gj(x)、Cj(x) be respectively j-th of time interval of virtual traffic data sequence average long green light time, average period Duration；gi(s) it is the long green light time of i-th of time interval of actual traffic data sequence；Ci(s) it is actual traffic data sequence i-th The cycle of individual time interval.
- 4. the management control method of Link Travel Time according to claim 1, it is characterised in that：In the step S014 The BP neural network be three layers of BP neural network for including hidden layer, its train function use Sigmiod functions；Instruction Practice error and use root-mean-square error RMSE.
- 5. the management control method of Link Travel Time according to claim 1, it is characterised in that：The step S02 bags Include following steps,S021：The second space yardstick obtained using global position system to Link Travel Time and the second time scale carry out true Fixed extraction, its second space yardstick is consistent with the first space scale, and its very first time yardstick is consistent with very first time yardstick；S022：In certain sampling time interval, the various information datas of mobile unit are gathered using global position system, and By communication apparatus, the information of the global position system of the various uploading information datas of mobile unit to traffic information center is taken Business device；S023：Using the information server and generalized information system of global position system, running time and intersection to basic road Delay time at stop design second obtains model, generates the second output result of Link Travel Time, and the second output result is transmitted To the converged services device.
- 6. the management control method of Link Travel Time according to claim 1, it is characterised in that：The step S023 bags Include following steps,S0231：Design basic road traveling and obtain model；The step S0231 comprises the following steps,S02311：Bicycle basic road running time calculates,The traveling assuming that vehicle remains a constant speed between adjacent positioned point, then the section border moment extraction formula beWherein, t " (t), t ' (t+1) represent current road segment terminal border moment and downstream road section starting point border moment respectively；t (t), t (t-n (t)) represents the positioning moment of current matching point and previous matching point data respectively；L ' (t), L ' (t-n (t)) points Biao Shi not current matching point and previous matching point data and the distance on current road segment terminal border；Then bicycle basic road running time calculation formula isT '=t '-t 'Wherein：T ' is single sample car basic road running time；T " and t ' is respectively sample car by section start and end border Moment；S02312：Sample car basic road running time calculates,Sample car basic road running time refers to all bicycle basic road rows Jing Guo specific road section in special time yardstick The average level of time is sailed, can directly take the average of bicycle basic road running time, i.e.,Wherein,For sample car basic road running time；S02313：Traffic flow basic road running time calculates,Traffic flow basic road running time refers to all vehicle basic road rows Jing Guo specific road section in special time yardstick Sail the average level of time time, use statistical analysis calculation formula forWherein：T(l1) it is traffic flow basic road running time；F is the regression function established using regression analysis；S0232：Design intersection delay time computation model；The step S0232 comprises the following steps,S02321：The intersection delay time calculates,Intersection delay is estimated using Robert Webster formula, i.e.,Wherein,For the intersection delay time, C is cycle duration；G is long green light time；Q is the magnitude of traffic flow；U is split, i.e. g/ C；X is saturation degree, i.e. (q × C)/(s × g)；S is saturation volume rate；S0233：Link Travel Time calculates；Link Travel Time be basic road running time and intersection delay time it With that is,
- 7. the management control method of Link Travel Time according to claim 6, it is characterised in that：The step S03 bags Include following steps,S031：Build three layers of BP neural network containing a hidden layer；S032：With first output result of SCOOT class traffic signal control systems, the output result of global position system second And sample car quantity is as input；S033：Output is used as using the Link Travel Time of same space and time scale.
- 8. the management control method of Link Travel Time according to claim 7, it is characterised in that：The hidden nodes of the BP neural network are arranged to 5 according to the principle of (2 × input neuron number -1)；Train function Using Sigmiod functions；Training error uses root-mean-square error RMSE.
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