CN109243174A - A kind of mixing bicycle traffic wave calculation method based on spatial perception - Google Patents
A kind of mixing bicycle traffic wave calculation method based on spatial perception Download PDFInfo
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- CN109243174A CN109243174A CN201811029169.4A CN201811029169A CN109243174A CN 109243174 A CN109243174 A CN 109243174A CN 201811029169 A CN201811029169 A CN 201811029169A CN 109243174 A CN109243174 A CN 109243174A
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- 238000004364 calculation method Methods 0.000 title claims abstract description 24
- 230000008447 perception Effects 0.000 title claims abstract description 22
- 238000000034 method Methods 0.000 claims abstract description 14
- 230000005540 biological transmission Effects 0.000 claims abstract description 8
- 230000003834 intracellular effect Effects 0.000 claims description 73
- 230000001413 cellular effect Effects 0.000 claims description 12
- 230000035939 shock Effects 0.000 claims description 8
- 238000004088 simulation Methods 0.000 abstract description 4
- 230000006399 behavior Effects 0.000 description 39
- 238000011160 research Methods 0.000 description 3
- 230000008676 import Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
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- 235000013399 edible fruits Nutrition 0.000 description 1
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
Abstract
The mixing bicycle traffic wave calculation method based on spatial perception that the present invention relates to a kind of, belongs to technical field of transportation.The present invention is based on the Mixed contacts of spatial perception, analyze the space ratio under different mixing bicycle traffic states, determine mixing bicycle density and flow, and then calculate mixing bicycle traffic velocity of wave by Cell Transmission Model.It is all too ideal the present invention overcomes assuming when previous methods simulation multiply bicycle flow operation, cannot preferable simulation isotropism wagon flow phenomenon limitation, improve mixing bicycle traffic wave computational accuracy.
Description
Technical field
The mixing bicycle traffic wave calculation method based on spatial perception that the present invention relates to a kind of belongs to traffic technique neck
Domain.
Background technique
With the development of the city and the demand of traffic trip, China's past are leading non-motor vehicle with standard bicycle
Mixing non-motor vehicle trip mode of the trip mode to be evolved into standard bicycle and electric bicycle and deposit.And due to two class vehicles
Kind property difference and mutual operation interference cause to mix non-motor vehicle properties of flow and single car type non-vehicle flow are special
There are larger differences for property.Hypothesis is all too ideal when existing research is for the operation of non-motorized lane multiply wagon flow, cannot be preferably
Simulate isotropic wagon flow phenomenon；In addition, when analysis mixes three parameter of non-vehicle flow traffic, mostly with homogeneity Vehicle flow
Based on traffic characteristics, it cannot ideally reflect the heterogeneity of non-vehicle flow, while lacking to heterogeneous non-vehicle flow cellular
The research of transmission characteristic leads to not accurately calculate mixing bicycle traffic wave.And accurately traffic shock wave is calculated to mixing voluntarily
Vehicle queue length and Delay are most important, to the signal timing optimization of further bicycle to reduce vehicle-bicycle conflict, delay
Solution intersection congestion is of great significance.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of mixing bicycle traffic wave calculating side based on spatial perception
Method further increases mixing bicycle traffic wave computational accuracy and robustness, is bicycle signal timing designing and non-machine
Dynamic lane width design provides theoretical foundation.
The technical scheme is that a kind of mixing bicycle traffic wave calculation method based on spatial perception, specific to walk
Suddenly are as follows:
Step 1: determining member mixing bicycle flow traffic behavior intracellular；
Step 2: calculating separately electric bicycle perceived density, tradition under member corresponding mixing bicycle flow traffic behavior intracellular
Bicycle perceived density；
Step 3: determining member mixing bicycle flow gross density intracellular, total flow；
Step 4: traffic shock wave is calculated according to Cell Transmission Model.
The mixing bicycle flow traffic behavior includes free flow traffic behavior, free flow traffic behavior, crowded friendship completely
Logical state.
The step 2 specifically:
According to the heterogeneous traffic flow model based on spatial perception, under Computing Meta corresponding mixing bicycle flow traffic behavior intracellular
Electric bicycle perceived density, standard bicycle perceived density:
(1) electric bicycle perceived density, standard bicycle perceived density calculate under free flow traffic behavior:
Lower n-th yuan of free flow traffic behavior electric bicycle path space ratio intracellular is calculated separately firstTradition
Bicycle path space ratio
It is further available from by lower n-th yuan electric bicycle perceived density intracellular of stream traffic behaviorTradition is voluntarily
Vehicle perceived densityAre as follows:
In formula,Respectively electrical salf-walking wagon flow critical density, standard bicycle critical density,Point
It Wei not lower n-th yuan of free flow traffic behavior electric bicycle density intracellular, standard bicycle density；
Electric bicycle perceived density, standard bicycle perceived density calculate under (2) half hustle traffic states:
Lower n-th yuan of half hustle traffic state electric bicycle path space ratio intracellular is calculated separately firstTradition
Bicycle path space ratio
Lower n-th yuan electric bicycle perceived density intracellular of half hustle traffic state can further be obtainedTradition is voluntarily
Vehicle perceived densityAre as follows:
In formula,Lower n-th yuan of respectively half hustle traffic state electric bicycle density intracellular, tradition are certainly
Rate of traffic flow；
(3) electric bicycle perceived density, standard bicycle perceived density calculate completely under hustle traffic state:
Lower n-th yuan of complete hustle traffic state electric bicycle path space ratio intracellular is calculated separately firstIt passes
System bicycle path space ratio
Lower n-th yuan electric bicycle perceived density intracellular of complete hustle traffic state further can be obtainedTradition
Bicycle perceived densityAre as follows:
In formula,Respectively electric bicycle flow blocked density, standard bicycle jam density；Point
It Wei not lower n-th yuan of complete hustle traffic state electric bicycle density intracellular, standard bicycle density；w1、w2It is respectively electronic
Bicycle starts wave velocity of wave, standard bicycle starts wave velocity of wave, and calculation formula is as follows:
In formula,Respectively electrical salf-walking wagon flow maximum stream flow, standard bicycle maximum stream flow；
Wherein lower n-th yuan of different traffic electric bicycle density intracellular, standard bicycle density calculation formula are as follows:
In formula,Lower n-th yuan of respectively traffic behavior θ (n) electric bicycle density intracellular, tradition from
Rate of traffic flow,Lower n-th yuan of respectively traffic behavior θ (n) electric bicycle flow intracellular, standard bicycle
Flow, θ (n)=A, B, C；LnFor n-th of cellular length；B is cycle track width.
In the step 3, member mixing bicycle flow gross density intracellular, total flow calculating process include:
According to the heterogeneous traffic flow model based on spatial perception it is found that n-th yuan of mixing bicycle flow gross density intracellular is
For the perceived density of any bicycle flow of corresponding traffic behavior, in each cellular total flow be electrical salf-walking vehicle flowrate with from
The sum of driving flow, i.e.,
In formula,For lower n-th yuan of traffic behavior θ (n) mixing bicycle gross density intracellular,
Lower n-th yuan of respectively traffic behavior θ (n) electric bicycle perceived density intracellular, standard bicycle perceived density,For
Lower n-th yuan of traffic behavior θ (n) mixing bicycle total flow intracellular, θ (n)=A, B, C.
The step 4 specifically:
According to Cell Transmission Model in traffic flow, adjacent cellular traffic shock wave calculation formula under bicycle flow can must be mixed such as
Under:
In formula,For lower (n-1)th member of traffic behavior θ (n-1) mixing bicycle gross density intracellular,For
Lower (n-1)th member of traffic behavior θ (n-1) mixing bicycle total flow intracellular, θ (n-1)=A, B, C.
The beneficial effects of the present invention are:
1, the mixing bicycle traffic wave calculation method of the invention based on spatial perception, has fully considered electric bicycle
With the operation characteristic of standard bicycle and influence each other, when overcoming previous research simulation non-motorized lane multiply wagon flow operation
Assuming that all too ideal, cannot the preferable isotropic wagon flow phenomenon of simulation limitation, improve computational accuracy；
2, the mixing bicycle traffic wave calculation method of the invention based on spatial perception, respectively to different mixing bicycles
Stream traffic behavior is analyzed, and the variation characteristic of bicycle traffic wave is mixed under more targeted reaction different traffic,
Reliability is stronger；
3, the mixing bicycle traffic wave calculation method of the invention based on spatial perception, it is easy to operate, convenient for calculating, at
This is lower.
Detailed description of the invention
Fig. 1 is step flow chart of the invention；
Fig. 2 is the adjacent cellular schematic diagram of two kinds of traffic behaviors of the invention；
Fig. 3 is the stop wave estimated value of the invention figure compared with results of observations.
Specific embodiment
With reference to the accompanying drawings and detailed description, the invention will be further described.
Embodiment 1: a kind of mixing bicycle traffic wave calculation method based on spatial perception, as shown in Figure 1, comprising:
Step 1: determining member mixing bicycle flow traffic behavior intracellular；
Step 2: calculating separately electric bicycle perceived density, tradition under member corresponding mixing bicycle flow traffic behavior intracellular
Bicycle perceived density；
Step 3: determining member mixing bicycle flow gross density intracellular, total flow；
Step 4: traffic shock wave is calculated according to Cell Transmission Model.
Wherein it is determined that member mixing bicycle flow intracellular belongs to which following traffic behavior:
(1) free flow traffic behavior.In this case, two class bicycle flows are all traveled freely, and influence each other very little,
Electric bicycle can freely be more than standard bicycle.
(2) half hustle traffic states.In this case, sufficient space does not keep free flow to electric vehicle and bicycle stream
State, but standard bicycle stream still can be kept.
(3) complete hustle traffic state.In this case, two class bicycle flows can not find enough spaces all to keep
Free stream velocity.
Wherein, electric bicycle perceived density, standard bicycle sense under member corresponding mixing bicycle flow traffic behavior intracellular
Know that the calculating process of density is as follows:
(1) electric bicycle perceived density, standard bicycle perceived density calculate under free flow traffic behavior
Lower n-th yuan of free flow traffic behavior electric bicycle path space ratio intracellular is calculated separately firstTradition
Bicycle path space ratio
Further it is available from by lower n-th yuan electric bicycle perceived density intracellular of stream traffic behaviorTradition is certainly
Driving perception densityFor
In formula,Respectively electrical salf-walking wagon flow critical density, standard bicycle critical density,Point
It Wei not lower n-th yuan of free flow traffic behavior electric bicycle density intracellular, standard bicycle density.
Electric bicycle perceived density, standard bicycle perceived density calculate under (2) half hustle traffic states
Lower n-th yuan of half hustle traffic state electric bicycle path space ratio intracellular is calculated separately firstTradition
Bicycle path space ratio
Lower n-th yuan electric bicycle perceived density intracellular of half hustle traffic state further can be obtainedTradition is certainly
Driving perception densityFor
In formula,Lower n-th yuan of respectively half hustle traffic state electric bicycle density intracellular, tradition are certainly
Rate of traffic flow.
(3) electric bicycle perceived density, standard bicycle perceived density calculate completely under hustle traffic state
Lower n-th yuan of complete hustle traffic state electric bicycle path space ratio intracellular is calculated separately firstIt passes
System bicycle path space ratio
Lower n-th yuan electric bicycle perceived density intracellular of complete hustle traffic state further can be obtainedTradition
Bicycle perceived densityFor
In formula,Respectively electric bicycle flow blocked density, standard bicycle jam density；Point
It Wei not lower n-th yuan of complete hustle traffic state electric bicycle density intracellular, standard bicycle density；w1、w2It is respectively electronic
Bicycle starts wave velocity of wave, standard bicycle starts wave velocity of wave, and calculation formula is as follows:
In formula,Respectively electrical salf-walking wagon flow maximum stream flow, standard bicycle maximum stream flow.
Wherein lower n-th yuan of different traffic electric bicycle density intracellular, standard bicycle density calculation formula are as follows:
In formula,Lower n-th yuan of respectively traffic behavior θ (n) electric bicycle density intracellular, tradition from
Rate of traffic flow,Lower n-th yuan of respectively traffic behavior θ (n) electric bicycle flow intracellular, standard bicycle
Flow, θ (n)=A, B, C；LnFor n-th of cellular length；B is cycle track width.
Wherein, member mixing bicycle flow gross density intracellular, total flow calculating process are as follows:
The perceived density of any bicycle flow of traffic behavior is corresponded to, total flow is electrical salf-walking wagon flow in each cellular
The sum of amount and bicycle flow, i.e.,
In formula,For lower n-th yuan of traffic behavior θ (n) mixing bicycle gross density intracellular,
Lower n-th yuan of respectively traffic behavior θ (n) electric bicycle perceived density intracellular, standard bicycle perceived density,For
Lower n-th yuan of traffic behavior θ (n) mixing bicycle total flow intracellular, θ (n)=A, B, C.
Wherein, traffic shock wave calculating process is as follows:
As shown in Fig. 2, the adjacent cellular traffic shock wave under bicycle flow can must be mixed according to Cell Transmission Model in traffic flow
Calculation formula is as follows:
In formula,For lower (n-1)th member of traffic behavior θ (n-1) mixing bicycle gross density intracellular,For
Lower (n-1)th member of traffic behavior θ (n-1) mixing bicycle total flow intracellular, θ (n-1)=A, B, C.
The perceived density of any bicycle flow of traffic behavior is corresponded to, total flow is electrical salf-walking wagon flow in each cellular
The sum of amount and bicycle flow, i.e.,
In formula,For lower n-th yuan of traffic behavior θ (n) mixing bicycle gross density intracellular,
Lower n-th yuan of respectively traffic behavior θ (n) electric bicycle perceived density intracellular, standard bicycle perceived density,For
Lower n-th yuan of traffic behavior θ (n) mixing bicycle total flow intracellular, θ (n)=A, B, C.
In embodiment, HuanCheng East Road, Kunming City, YunNan Province and the western import cycle track data in the intersection Bai Longlu are chosen
(evening peak) verifies this patent method with stop wave wave velocity estimation value, and calculates and tie with single wagon flow traffic wave pattern
Fruit (member bicycle density intracellular and flow are determined in such a way that equivalent is converted) compares, to verify the precision of this method.
Mean absolute error (MAE), average percent (MAPE) and the root mean square that verification result passes through calculating wagon flow ratio
Error (RMSE), the results are shown in Table 1, and MAE, MAPE, RMSE calculation formula difference are as follows:
Wherein, m is sample number, amounts to 95 sample numbers in this example.
1 belt East Road of table and western import bicycle parking wave MAE, MAPE and the RMSE in the intersection Bai Longlu
The result shows that being respectively less than single wagon flow traffic wave pattern using MAE, MAPE, RMSE of the stop wave of this method
Error sufficiently demonstrates the accuracy of method；Observation, this patent method calculated value and single wagon flow traffic wave pattern calculate
Value is to as shown in Figure 3.
In conjunction with attached drawing, the embodiment of the present invention is explained in detail above, but the present invention is not limited to above-mentioned
Embodiment within the knowledge of a person skilled in the art can also be before not departing from present inventive concept
Put that various changes can be made.
Claims (5)
1. a kind of mixing bicycle traffic wave calculation method based on spatial perception, it is characterised in that:
Step 1: determining member mixing bicycle flow traffic behavior intracellular；
Step 2: calculating separately member correspondence intracellular and mix electric bicycle perceived density under bicycle flow traffic behavior, tradition voluntarily
Vehicle perceived density；
Step 3: determining member mixing bicycle flow gross density intracellular, total flow；
Step 4: traffic shock wave is calculated according to Cell Transmission Model.
2. the mixing bicycle traffic wave calculation method according to claim 1 based on spatial perception, it is characterised in that: institute
Stating mixing bicycle flow traffic behavior includes free flow traffic behavior, free flow traffic behavior, complete hustle traffic state.
3. the mixing bicycle traffic wave calculation method according to claim 2 based on spatial perception, it is characterised in that: institute
State step 2 specifically:
It is electronic under Computing Meta corresponding mixing bicycle flow traffic behavior intracellular according to the heterogeneous traffic flow model based on spatial perception
Bicycle perceived density, standard bicycle perceived density:
(1) electric bicycle perceived density, standard bicycle perceived density calculate under free flow traffic behavior:
Lower n-th yuan of free flow traffic behavior electric bicycle path space ratio intracellular is calculated separately firstStandard bicycle
Path space ratio
It is further available from by lower n-th yuan electric bicycle perceived density intracellular of stream traffic behaviorStandard bicycle sense
Know densityAre as follows:
In formula,Respectively electrical salf-walking wagon flow critical density, standard bicycle critical density,Respectively
Lower n-th yuan of free flow traffic behavior electric bicycle density intracellular, standard bicycle density；
Electric bicycle perceived density, standard bicycle perceived density calculate under (2) half hustle traffic states:
Lower n-th yuan of half hustle traffic state electric bicycle path space ratio intracellular is calculated separately firstStandard bicycle
Path space ratio
Lower n-th yuan electric bicycle perceived density intracellular of half hustle traffic state can further be obtainedStandard bicycle sense
Know densityAre as follows:
In formula,Lower n-th yuan of respectively half hustle traffic state electric bicycle density intracellular, standard bicycle
Density；
(3) electric bicycle perceived density, standard bicycle perceived density calculate completely under hustle traffic state:
Lower n-th yuan of complete hustle traffic state electric bicycle path space ratio intracellular is calculated separately firstTradition is voluntarily
Vehicle path space ratio
Lower n-th yuan electric bicycle perceived density intracellular of complete hustle traffic state further can be obtainedTradition is voluntarily
Vehicle perceived densityAre as follows:
In formula,Respectively electric bicycle flow blocked density, standard bicycle jam density；Respectively
Complete lower n-th yuan of state of hustle traffic electric bicycle density intracellular, standard bicycle density；w1、w2Respectively electrical salf-walking
Vehicle starts wave velocity of wave, standard bicycle starts wave velocity of wave, and calculation formula is as follows:
In formula,Respectively electrical salf-walking wagon flow maximum stream flow, standard bicycle maximum stream flow；
Wherein lower n-th yuan of different traffic electric bicycle density intracellular, standard bicycle density calculation formula are as follows:
In formula,Lower n-th yuan of respectively traffic behavior θ (n) electric bicycle density intracellular, standard bicycle
Density,Lower n-th yuan of respectively traffic behavior θ (n) electric bicycle flow intracellular, standard bicycle stream
Amount, θ (n)=A, B, C；LnFor n-th of cellular length；B is cycle track width.
4. the mixing bicycle traffic wave calculation method according to claim 1 based on spatial perception, it is characterised in that: institute
It states in step 3, member mixing bicycle flow gross density intracellular, total flow calculating process include:
According to the heterogeneous traffic flow model based on spatial perception it is found that n-th yuan of mixing bicycle flow gross density intracellular is pair
The perceived density of any bicycle flow of traffic behavior is answered, total flow is electrical salf-walking vehicle flowrate and bicycle in each cellular
The sum of flow, i.e.,
In formula,For lower n-th yuan of traffic behavior θ (n) mixing bicycle gross density intracellular,Respectively
For lower n-th yuan of traffic behavior θ (n) electric bicycle perceived density intracellular, standard bicycle perceived density,For traffic
Lower n-th yuan of state θ (n) mixing bicycle total flow intracellular, θ (n)=A, B, C.
5. the mixing bicycle traffic wave calculation method according to claim 1 based on spatial perception, it is characterised in that: institute
State step 4 specifically:
According to Cell Transmission Model in traffic flow, the adjacent cellular traffic shock wave calculation formula that can must be mixed under bicycle flow is as follows:
In formula,For lower (n-1)th member of traffic behavior θ (n-1) mixing bicycle gross density intracellular,For traffic
Lower (n-1)th member of state θ (n-1) mixing bicycle total flow intracellular, θ (n-1)=A, B, C.
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| CN113611118A (en) * | 2021-08-10 | 2021-11-05 | 长安大学 | Ellipse-like accident time-space influence range grading determination method |
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