CN105513352A - Urban road network hybrid traffic carrying capacity calculation method - Google Patents
Urban road network hybrid traffic carrying capacity calculation method Download PDFInfo
- Publication number
- CN105513352A CN105513352A CN201510944467.6A CN201510944467A CN105513352A CN 105513352 A CN105513352 A CN 105513352A CN 201510944467 A CN201510944467 A CN 201510944467A CN 105513352 A CN105513352 A CN 105513352A
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- CN
- China
- Prior art keywords
- road network
- bearing capacity
- city road
- bicycle
- unit
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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
Abstract
The invention discloses an urban road network hybrid traffic carrying capacity calculation method comprising the steps that 1) urban road network motor vehicle daily traveling time and space consumption is calculated; 2) urban road network non-motor vehicle daily traveling time and space consumption is calculated; 3) urban road network motor vehicle traffic time and space resource C1 is calculated; 4) urban road network non-motor vehicle traffic time and space resource C2 is calculated; and 5) urban road network hybrid traffic carrying capacity N is calculated. The basis is provided for planning and management of control of total urban motor vehicles and non-motor vehicles so that the urban road network hybrid traffic carrying capacity calculation method has practical popularization value.
Description
Technical field
The present invention relates to traffic programme and management domain, refer in particular to a kind of city road network mixed traffic load-bearing capacity computing method.
Background technology
The mixed traffic load-bearing capacity of city road network refers under the external constraint such as resource, environment, the conditions such as traffic management technology are utilized, the maximum motor vehicle that city road network can be supported under the condition meeting certain level of service and efficiency and the total travel amount of non power driven vehicle within the scope of certain hour.
Due in urban inner road network, take as the leading factor with Vehicle emission, and motor vehicle runs comparatively specification, be easy to theoretical research analysis.The current domestic research for city road network bearing capacity or Road Network Capacity lays particular emphasis on motor vehicle, and conventional method has time-space distribution to consume method, linear programming model, cut set method, traffic assignation simulation etc.And city road network mixed traffic load-bearing capacity computing method are not yet proposed.In the city road network of China, bicycle trip still occupies very large proportion.Therefore, the mixed traffic load-bearing capacity of city road network is calculated the mixed traffic in city planning is played a very important role.
Summary of the invention
The shortcoming that the object of the invention is to overcome prior art, with not enough, provides a kind of city road network mixed traffic load-bearing capacity computing method, for urban automobile and bicycle total emission control planning and management provide foundation, has actual promotional value.
For achieving the above object, technical scheme provided by the present invention is: a kind of city road network non-motorized transport load-bearing capacity computing method, comprise the following steps:
1) the space-time consumption amount of city road network motor vehicle trip every day is calculated;
2) the space-time consumption amount of city road network bicycle trip every day is calculated;
3) city road network automobile traffic time-space distribution C is calculated
1;
4) city road network Manpower Transportation time-space distribution C is calculated
2;
5) city road network mixed traffic load-bearing capacity N is calculated.
In step 1) in, the space-time consumption amount calculating trip every day of city road network motor vehicle is:
c
v＝s
v×T
v
Wherein, c
vfor the average space-time consumption of single motor vehicle trip every day, m
2h/pcu; s
vfor the path area taken in Vehicle emission, unit is m
2; T
vfor motor vehicle every day is in the road network average travel time, unit is hour.
In step 2) in, the space-time consumption amount of city road network bicycle trip every day is:
c
n＝s
n×T
n
Wherein, c
nfor the average space-time consumption of single bicycle trip every day, m
2h/; s
nfor the path area taken in bicycle trip, unit is m
2; T
nfor bicycle every day is in the road network average travel time, unit is hour.
In step 3) in, calculate city road network automobile traffic time-space distribution C
1adopt following formulae discovery:
C
1＝S
v×T
v 0
Wherein, S
vfor road network motor vehicle section area, unit is m
2; T
v 0for road network motor vehicle effective storage life, unit is hour.
In step 4) in, calculate city road network Manpower Transportation time-space distribution C
2adopt following formulae discovery:
C
2＝(S
1n+k×S
2n)×T
n 0
Wherein, S
1nfor city road network bicycle accommodation road area, S
2nfor Urban Mixed Traffic section area, unit is m
2; T
n 0for road network bicycle effective storage life, unit is hour; K is conversion factor:
k＝1-(t-T)/t
Wherein, t is road network bicycle trip real travel time summation, i.e. t=∑ t
i, t
iit is i-th bicycle trip real travel time; T is road network bicycle trip summation the shortest hourage, T=∑ T
i, T
ibe that i-th bicycle is gone on a journey the shortest hourage, i is bicycle trip survey sample.
In step 5) in, calculate city road network mixed traffic load-bearing capacity N and form primarily of automobile traffic load-bearing capacity and non-motorized transport load-bearing capacity two parts:
N＝{N
v，N
n}
Wherein, N
nfor automobile traffic load-bearing capacity, unit is pcu, N
n=C
1/ c
v; N
nfor Manpower Transportation load-bearing capacity, unit is, N
n=C
2/ c
n.
Compared with prior art, tool has the following advantages and beneficial effect in the present invention:
The inventive method applicability is comparatively wide, applies field survey data as model parameter in method; Take into full account different cities road network mixed traffic characteristic.The method considers automobile traffic and Manpower Transportation to separate the method processed, and the city road network mixed traffic load-bearing capacity computing method of structure are more reasonable.There is provided more rational Quantitative Calculation Method to city road network mixed traffic load-bearing capacity, for urban automobile and bicycle total emission control planning and management provide foundation, therefore the present invention has very large actual promotional value.
Accompanying drawing explanation
Fig. 1 is workflow diagram of the present invention.
Fig. 2 is the process flow diagram that the present invention calculates conversion factor k.
Embodiment
Below in conjunction with specific embodiment, the invention will be further described.
As shown in Figure 1, the city road network mixed traffic load-bearing capacity computing method described in the present embodiment, comprise the following steps:
1) the space-time consumption amount of city road network motor vehicle trip every day is calculated:
c
v＝s
v×T
v＝42.9×0.76＝32.604(m
2·h/pcu)
Wherein, c
vfor the average space-time consumption of single motor vehicle trip every day, m
2h/pcu; s
vfor the path area taken in Vehicle emission, unit is m
2; T
vfor motor vehicle every day is in the road network average travel time, unit is hour.
2) the space-time consumption amount of city road network bicycle trip every day is calculated:
C
n=s
n× T
n=8.9 × 0.9=8.01 (m
2h/)
Wherein, c
nfor the average space-time consumption of single bicycle trip every day, m
2h/; s
nfor the path area taken in bicycle trip, unit is m
2; T
nfor bicycle every day is in the road network average travel time, unit is hour.
3) calculate city road network automobile traffic time-space distribution C1, adopt following formulae discovery:
C
1＝S
v×T
v 0＝550000×18＝9900000(m
2·h)
Wherein, Sv is road network motor vehicle section area, and unit is m2; Tv0 is road network motor vehicle effective storage life, and unit is hour.
4) city road network Manpower Transportation time-space distribution C is calculated
2, first determine conversion factor k, as shown in Figure 2:
k＝1-(t-T)/t＝1-(0.89-0.76)/0.89＝0.85393
Wherein, t is road network bicycle trip real travel time summation, i.e. t=∑ t
i, t
iit is i-th bicycle trip real travel time; T is road network bicycle trip summation the shortest hourage, T=∑ T
i, T
ibe that i-th bicycle is gone on a journey the shortest hourage, i is bicycle trip survey sample.
Then, city road network Manpower Transportation time-space distribution C is determined
2:
C
2＝(S
1n+k×S
2n)×T
n 0＝(25000+0.85393×35000)×18＝987976(m
2·h)
Wherein, S
1nfor city road network bicycle accommodation road area, S
2nfor Urban Mixed Traffic section area, unit is m
2; T
n 0for road network bicycle effective storage life, unit is hour.
5) calculate city road network mixed traffic load-bearing capacity N, form primarily of automobile traffic load-bearing capacity and non-motorized transport load-bearing capacity two parts:
N＝{N
v，N
n}
＝{C
1/c
v,C
2/c
n}
={ 303643.7pcu, 123342.8 }
Wherein, N
nfor automobile traffic load-bearing capacity, unit is pcu, N
n=C
1/ c
v; N
nfor Manpower Transportation load-bearing capacity, unit is, N
n=C
2/ c
n.
In sum, the present invention provides new method for city road network mixed traffic load-bearing capacity calculates, and for urban automobile and bicycle total emission control planning and management provide foundation, has actual promotional value, is worthy to be popularized.
The examples of implementation of the above are only the preferred embodiment of the present invention, not limit practical range of the present invention with this, therefore the change that all shapes according to the present invention, principle are done, all should be encompassed in protection scope of the present invention.
Claims (6)
1. city road network mixed traffic load-bearing capacity computing method, is characterized in that, comprise the following steps:
1) the space-time consumption amount of city road network motor vehicle trip every day is calculated;
2) the space-time consumption amount of city road network bicycle trip every day is calculated;
3) city road network automobile traffic time-space distribution C is calculated
1;
4) city road network Manpower Transportation time-space distribution C is calculated
2;
5) city road network mixed traffic load-bearing capacity N is calculated.
2. a kind of city road network mixed traffic load-bearing capacity computing method according to claim 1, is characterized in that: in step 1) in, the space-time consumption amount calculating trip every day of city road network motor vehicle is:
c
v＝s
v×T
v
Wherein, c
vfor the average space-time consumption of single motor vehicle trip every day, m
2h/pcu; s
vfor the path area taken in Vehicle emission, unit is m
2; T
vfor motor vehicle every day is in the road network average travel time, unit is hour.
3. a kind of city road network mixed traffic load-bearing capacity computing method according to claim 1, is characterized in that: in step 2) in, the space-time consumption amount of city road network bicycle trip every day is:
c
n＝s
n×T
n
Wherein, c
nfor the average space-time consumption of single bicycle trip every day, m
2h/; s
nfor the path area taken in bicycle trip, unit is m
2; T
nfor bicycle every day is in the road network average travel time, unit is hour.
4. a kind of city road network mixed traffic load-bearing capacity computing method according to claim 1, is characterized in that: in step 3) in, calculate city road network automobile traffic time-space distribution C1 and adopt following formulae discovery:
C
1＝S
v×T
v 0
Wherein, Sv is road network motor vehicle section area, and unit is m2; Tv0 is road network motor vehicle effective storage life, and unit is hour.
5. a kind of city road network mixed traffic load-bearing capacity computing method according to claim 1, is characterized in that: in step 4) in, calculate city road network Manpower Transportation time-space distribution C
2adopt following formulae discovery:
C
2＝(S
1n+k×S
2n)×T
n 0
Wherein, S
1nfor city road network bicycle accommodation road area, S
2nfor Urban Mixed Traffic section area, unit is m
2; T
n 0for road network bicycle effective storage life, unit is hour; K is conversion factor:
k＝1-(t-T)/t
Wherein, t is road network bicycle trip real travel time summation, i.e. t=∑ t
i, t
iit is i-th bicycle trip real travel time; T is road network bicycle trip summation the shortest hourage, T=∑ T
i, T
ibe that i-th bicycle is gone on a journey the shortest hourage, i is bicycle trip survey sample.
6. a kind of city road network mixed traffic load-bearing capacity computing method according to claim 1, it is characterized in that: in step 5) in, calculate city road network mixed traffic load-bearing capacity N and form primarily of automobile traffic load-bearing capacity and non-motorized transport load-bearing capacity two parts:
N＝{N
v，N
n}
Wherein, N
nfor automobile traffic load-bearing capacity, unit is pcu, N
n=C
1/ c
v; N
nfor Manpower Transportation load-bearing capacity, unit is, N
n=C
2/ c
n.
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|---|---|---|---|
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Family
ID=55721293
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108648455A (en) * | 2018-06-20 | 2018-10-12 | 合肥工业大学 | A kind of city road network mode selecting method based on comprehensive travel expense |
| CN110930708A (en) * | 2019-12-06 | 2020-03-27 | 北京工业大学 | Urban traffic bearing capacity calculation and prediction method |
| CN112289030A (en) * | 2020-11-02 | 2021-01-29 | 吉林大学 | Method for calculating maximum number of vehicles capable of being accommodated in urban road network |
| CN113420439A (en) * | 2021-06-22 | 2021-09-21 | 北京交通发展研究院 | Comprehensive traffic bearing capacity calculation method and device, computer equipment and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101714298A (en) * | 2009-10-30 | 2010-05-26 | 北京工业大学 | Method for calculating urban crossroad mixed traffic order degree |
| CN102542795A (en) * | 2012-02-14 | 2012-07-04 | 清华大学 | Computing method for road networking carrying capacity |
-
2015
- 2015-12-16 CN CN201510944467.6A patent/CN105513352A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101714298A (en) * | 2009-10-30 | 2010-05-26 | 北京工业大学 | Method for calculating urban crossroad mixed traffic order degree |
| CN102542795A (en) * | 2012-02-14 | 2012-07-04 | 清华大学 | Computing method for road networking carrying capacity |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108648455A (en) * | 2018-06-20 | 2018-10-12 | 合肥工业大学 | A kind of city road network mode selecting method based on comprehensive travel expense |
| CN110930708A (en) * | 2019-12-06 | 2020-03-27 | 北京工业大学 | Urban traffic bearing capacity calculation and prediction method |
| CN112289030A (en) * | 2020-11-02 | 2021-01-29 | 吉林大学 | Method for calculating maximum number of vehicles capable of being accommodated in urban road network |
| CN113420439A (en) * | 2021-06-22 | 2021-09-21 | 北京交通发展研究院 | Comprehensive traffic bearing capacity calculation method and device, computer equipment and storage medium |
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| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160420 |
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