CN109872537A - A kind of bus stop optimal setting method considering quantization modulation - Google Patents

A kind of bus stop optimal setting method considering quantization modulation Download PDF

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CN109872537A
CN109872537A CN201910287909.2A CN201910287909A CN109872537A CN 109872537 A CN109872537 A CN 109872537A CN 201910287909 A CN201910287909 A CN 201910287909A CN 109872537 A CN109872537 A CN 109872537A
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bus stop
bus
unit
integrated service
indicate
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CN109872537B (en
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罗清玉
宋金鸽
贾洪飞
杨丽丽
吴文静
杨金玲
祝佳祥
田万利
冰雪
刘致宁
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Jilin University
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Jilin University
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Abstract

The invention belongs to traffic engineering technical fields, are related to a kind of bus stop optimal setting method for considering quantization modulation.Comprise the steps of: that (1) setting improves bus stop and its adjacent road traffic capacity is optimization aim;(2) bus stop integrated service assessment of levels model is constructed, determines quantization modulation standard;(3) bus stop Optimized Measures collection is constructed;(4) the bus stop integrated service under the measure of quantization modulation Different Optimization is horizontal, selects optimum optimization measure.The optimal setting method of bus stop is quantified to present system, it is horizontal that Transit Capacity of Bus Stops and the adjacent road traffic capacity are fused to bus stop integrated service, construct evaluation model and quantization modulation standard, Optimized Measures collection is constructed using Berth number and type of site as basic element, it is horizontal by the bus stop integrated service under quantization modulation Different Optimization measure, finally obtain the optimum optimization measure of bus stop.

Description

A kind of bus stop optimal setting method considering quantization modulation
Technical field
The invention belongs to traffic engineering technical field, it is related to bus stop optimal setting side in a kind of traffic engineering field Method, specifically a kind of bus stop optimal setting method for considering quantization modulation.
Background technique
Fundamental of the bus stop as public transit system, has ensured giving full play to for public transport network allomeric function.It is public Hand over bus stop setting is unreasonable to will lead to Transit Capacity of Bus Stops and the decline of the bus stop adjacent road traffic capacity, drop Low station point overall service levels.
(1) optimizing research of bus stop.Ge Hongwei is on the basis of comparative analysis, complex optimum, research and development The bus parking station arrangement of a set of comparison system, setting and design optimisation technique and method.Zhang Lei is in analysis and summary Zhuji City On the basis of the problems such as main city zone bus station layout, addressing and web construction, optimization bus stop is proposed from mid-scale view The scheme of addressing.Zhang establishes the miniature cellular automata Mixed contact for bus stop, and passes through Emulation obtains the bus station scheme of optimization.Liu is to reduce traffic flow in eparterial runing time or delay time as mesh Mark, optimizes the placement scheme of bus stop.
(2) traffic capacity research of bus stop.Liu Huili analyzes the influence factor that public transit vehicle is reached with stopped, And the correlation between these influence factors and Transit Capacity of Bus Stops, to three kinds of Transit Capacity of Bus Stops Computation model is carried out than choosing.Liu Weiling constructs public transport on the basis of berthing time and outbound time model and pulls in the time Model, and then the definition of the traffic capacity is combined, establish linear and bay engineering constructions traffic capacity models.Al- Mudhaffar improves entire TCQSM model, obtains the traffic capacity model for meeting Switzerland's actual conditions.Arhin is used The Multiple Regression Analysis Method of common least square method, establishes in section and intersection bus stop public transport nearby is in station time mould Type.
(3) bus stop adjacent road traffic capacity research.Liu Lu introduces queuing model and calculates fixed point stop bus station Road section capacity.Luo establishes that linear, bay type multi-storied is non-spill and bay type multi-storied have in the case of 3 kinds of spilling by bus into The adjacent lane traffic capacity model that bus stop influences out.Benedigbe is calculated based on the secondary relationship between flow and density The traffic capacity of adjacent road, and the reduction for proving that bus stop has largely road passage capability in road influences. Yao, which proposes bay engineering constructions, influences model to the traffic capacity of turnpike road with when overflowing two kinds in the case that normal
(4) evaluation study of bus stop.Xue Jingjing establishes the mould for calculating bus platform service level based on queueing theory Type.Zhu Rui etc. is investigated using SP and is demarcated to public transport LOS model of waiting, and combined influence is waited the element of service level, Bus station is established to wait the standard of service level evaluation.Liu establishes the BRT parking service level based on humanity concept and comments Valence index system proposes the Fuzzy Evaluation Method of evaluation BRT bus stop service level.
Pertinent literature is retrieved, the limitation of existing bus stop optimal setting technique study can be summarized as follows:
(1) optimization of bus stop is mostly focused on the optimization of website layout and addressing, and shape is arranged to bus stop itself The optimization of formula lacks systematically quantitative analysis;
(2) when bus stop optimal setting, lack influence of the adjacent road traffic capacity to bus station's optimal setting and grind Study carefully, and does not fully consider the influence of lane reduction coefficient in adjacent road traffic capacity model;
(3) the merit rating research of bus stop mainly uses Fuzzy Evaluation Method or single metrics evaluation method, and there are one Fixed subjectivity and unicity.
Summary of the invention
It is an object of the invention to overcome the shortcomings of that bus stop optimal setting is difficult to quantify in the prior art, provides one Kind considers the bus stop optimal setting method of quantization modulation.This method is to improve Transit Capacity of Bus Stops and neighboring track The road traffic capacity is optimization aim, and by considering bus stop and adjacent road service level, building bus stop is comprehensive Service level evaluation model and quantization modulation standard, it is substantially first for choosing increase bus stop Berth number and changing type of site Element building bus stop Optimized Measures collection, the bus stop integrated service under quantization modulation Different Optimization measure is horizontal, most The optimum optimization measure of bus stop is obtained eventually.
A kind of bus stop optimal setting method considering quantization modulation, which is characterized in that comprise the steps of:
(1) setting improves bus stop and the adjacent road traffic capacity is optimization aim;
(2) bus stop integrated service assessment of levels model is constructed, determines quantization modulation standard;
(3) bus stop Optimized Measures collection is constructed;
(4) the bus stop integrated service under the measure of quantization modulation Different Optimization is horizontal, selects optimum optimization measure;
Bus stop described in step (1) and the adjacent road traffic capacity, in particular to:
1) Transit Capacity of Bus Stops
Transit Capacity of Bus Stops is calculated according to U.S.'s traffic engineering handbook model:
In formula:
CBIndicate the website traffic capacity, unit bus/h;
NebIt is expressed as effective berth number, unit is a;
G indicates the effective green time of a signal phase, unit s;
C indicates the cycle duration of a signal phase, unit s;
R indicates to reach the reduction factor of fluctuation and compensation residence time;
D indicates mean residence time, unit s;
tcIndicate resolution time, unit s;
2) the bus stop adjacent road traffic capacity
1. if beeline busstop, the adjacent road traffic capacity
In formula:
CAIndicate the bus stop adjacent road traffic capacity, unit pcu/h;
Cp1Indicate the traffic capacity in linear bus stop outermost lane, unit pcu/h;
T1Indicate the public transport influence time in linear bus stop outermost lane, unit s;
Cp2Indicate the traffic capacity of linear bus stop time kerb lane, unit pcu/h;
T2Indicate the public transport influence time of linear bus stop time kerb lane, unit s;
The number of track-lines of k expression bus stop adjacent road;
λ indicates the frequency that public transport reaches, unit bus/h;
EbIndicate that bus is converted into the vehicle conversion factor of car;
CpiIndicate the traffic capacity in linear i-th lane of bus stop adjacent road, unit pcu/h;2. if bay Formula bus stop, the adjacent road traffic capacity
In formula:
C'p1Indicate the traffic capacity in Harbor-shaped bus stop outermost lane, unit pcu/h;
T′1Indicate the public transport influence time in Harbor-shaped bus stop outermost lane, unit s;
C'piIndicate the traffic capacity in i-th lane of Harbor-shaped bus stop adjacent road, unit pcu/h;
Bus stop integrated service assessment of levels model is constructed described in step (2), determines quantization modulation standard, specifically Content is as follows:
1) bus stop integrated service assessment of levels model
Bus stop integrated service assessment of levels model is based on bus stop service level and bus stop phase The weighted average model of neighboring trace road saturation degree;
In formula:
S indicates bus stop composite evaluation function value;
α indicates bus stop service level weight;
V indicates the bus stop adjacent road maximum volume of traffic, unit pcu/h;
β indicates bus stop adjacent road saturation degree weight;
2) bus stop integrated service level quantization grade scale
By bus stop level of service classification standard and the road saturation gradation criteria for classifying, using weighted average Method constructs bus stop integrated service level quantization grade scale;
Bus stop Optimized Measures collection is constructed described in step (3), the specific steps are as follows:
The type for choosing increase bus stop Berth number and change bus stop is stopped as essential element building public transport Pull in Optimized Measures collection, specific as follows:
1. beeline busstop
In formula:
apIt indicates to increase p berth;
bmIt indicates to change bus stop type, as m=0, indicates that bus stop type is constant, as m=1, indicate bus stop Bay type multi-storied is changed to by linear;
E indicates the existing Berth number of bus stop, and unit is a;
2. bay engineering constructions
Bus stop integrated service under quantization modulation Different Optimization measure described in step (4) is horizontal, and selection is best Optimized Measures, the specific steps are as follows:
1) it calculates horizontal using the bus stop integrated service in the case of Different Optimization measure;
2) size of the integrated service level after being optimized according to bus stop sorts to Optimized Measures;
3) it is based on bus stop integrated service level quantization grade scale, after analysis uses Different Optimization measure, public transport The variation of bus stop integrated service hierarchical level selects optimum optimization measure.
Compared with prior art the beneficial effects of the present invention are:
(1) a kind of bus stop optimal setting method for considering quantization modulation of the present invention, systematically analyzes The optimal setting of bus stop constructs Optimized Measures collection using Berth number and type of site as basic element, is based on bus parking It stands integrated service level quantization grade scale, selects optimum optimization measure.
(2) a kind of bus stop optimal setting method for considering quantization modulation of the present invention, by introducing lane Reduction coefficient has modified bus stop adjacent road traffic capacity model.
(3) it is of the present invention it is a kind of consider quantization modulation bus stop optimal setting method, using Berth number as Basic parameter proposes the public transport for all types of bus stops being common under any Berth number using average weighted method Bus stop integrated service assessment of levels model.
Detailed description of the invention
The present invention will be further described below with reference to the drawings:
Fig. 1 is the bus stop optimal setting method and step flow chart of the present invention for considering quantization modulation;
Fig. 2 is the predetermined optimizing target parameter summary view of bus stop;
Fig. 3 is bus stop integrated service assessment of levels model and quantization modulation standard building flow chart;
Fig. 4 is bus stop Optimized Measures collection building flow chart;
Fig. 5 is bus stop optimum optimization Measure choice flow chart;
Fig. 6 is α=0.2, bus stop integrated service horizontal mipmap schematic diagram when β=0.8;
Fig. 7 is α=0.8, bus stop integrated service horizontal mipmap schematic diagram when β=0.2.
Specific embodiment
The present invention is explained in detail with reference to the accompanying drawing:
1. setting improves bus stop and the adjacent road traffic capacity is optimization aim
1) Transit Capacity of Bus Stops
Transit Capacity of Bus Stops is calculated according to U.S.'s traffic engineering handbook model;
In formula:
CBIndicate the website traffic capacity, unit bus/h;
NebIt is expressed as effective berth number, unit is a;
G indicates the effective green time of a signal phase, unit s;
C indicates the cycle duration of a signal phase, unit s;
R indicates to reach the reduction factor of fluctuation and compensation residence time;
D indicates mean residence time, unit s;
tcIndicate resolution time, unit s;
2) the bus stop adjacent road traffic capacity
1. if beeline busstop, the adjacent road traffic capacity
In formula:
CAIndicate the bus stop adjacent road traffic capacity, unit pcu/h;
Cp1Indicate the traffic capacity in linear bus stop outermost lane, unit pcu/h;
T1Indicate the public transport influence time in linear bus stop outermost lane, unit s;
Cp2Indicate the traffic capacity of linear bus stop time kerb lane, unit pcu/h;
T2Indicate the public transport influence time of linear bus stop time kerb lane, unit s;
The number of track-lines of k expression bus stop adjacent road;
λ indicates the frequency that public transport reaches, unit bus/h;
EbIndicate that bus is converted into the vehicle conversion factor of car;
CpiIndicate the traffic capacity in linear i-th lane of bus stop adjacent road, unit pcu/h;
2. if bay engineering constructions, the adjacent road traffic capacity
In formula:
C'p1Indicate the traffic capacity in Harbor-shaped bus stop outermost lane, unit pcu/h;
T1' indicate Harbor-shaped bus stop outermost lane public transport influence time, unit s;
C'piIndicate the traffic capacity in i-th lane of Harbor-shaped bus stop adjacent road, unit pcu/h;
3) parameter calibration is carried out to determining optimization aim, parameter, which summarizes, sees attached drawing 2, and particular content is as follows:
1. Transit Capacity of Bus Stops: the factors such as bus stop type, Berth number and setting position are considered, to green letter Parameter calibration is carried out than, effective berth number and resolution time.
A) split:
For being located at the bus stop near signalized intersections, the signal control of intersection can lead to bus stop Row ability has an impact, at this time split can value be 0.5, and when bus stop is arranged in section, because all by signal The influence very little of phase, then can take the value of split is 1.
B) effective berth number:
When Berth number is greater than 1, each route stop position is divided if being not known, berth and inequality use, bus stop The Berth number of actual use is known as effective berth number.Different type bus stop corresponding effective berth in different Berth numbers Number, as shown in table 1.
The effective berth number of 1 bus stop of table
C) resolution time:
It is specific as follows in the bus resolution time that beeline busstop is stopped:
In formula:
L indicates bus length, unit m;
N indicates bus stop Berth number, and unit is a;
lbExpression standard length of the berth, unit m;
VcIndicate bus service speed, unit m/s;
taIndicate that bus is driven out to the acceleration time of bus stop, unit s;
tbIndicate that bus enters the deceleration time of bus stop, unit s;
It is specific as follows in the bus resolution time that bay engineering constructions are stopped:
In formula:
tc2Indicate that public transit vehicle imports the waiting time in lane, unit s again;
2. the bus stop adjacent road traffic capacity: considering bus stop type, Berth number, adjacent road lane The factors such as several and classification of road situation carry out parameter calibration to public transport influence time and lane capacity.
A) public transport influence time
Public transport influence time refers in unit hour that whole public transit vehicles stop the influence time summation of a certain website.In conjunction with The scaling method of resolution time demarcates public transport influence time.
When the public transport influence time in beeline busstop outermost lane is that bus parking occupies the lane in the process Deceleration, stop and acceleration total time, it is specific as follows:
The public transport influence time of beeline busstop time kerb lane is public transport when website is stopped, outermost lane It is the lane-change time of public vehicles, specific as follows:
T2=λ D
In the bus that bay engineering constructions are stopped in the presence of the waiting time for importing lane again when outbound.Public transport The outbound trend of vehicle can impact the motor vehicles on bus stop outermost lane.Compared with beeline busstop, The influence time in Harbor-shaped bus stop outermost lane reduces berthing time, specific as follows:
B) lane capacity
According to real road situation, multiple-lane road is more more common than single-lane road, and the lane in multiple-lane road is logical Row capability model is as follows:
CPcClδKn
In formula:
CPIndicate the lane capacity of multiple-lane road, unit pcu/h;
αcIndicate the classification of road coefficient of car lane, as shown in table 2;
ClExpression bicycle road possible traffic capacity, unit pcu/h, as shown in table 3;
δ indicates that intersection influences coefficient;
KnThe reduction coefficient in corresponding each lane is indicated, as shown in table 4, usually by shortcut middle line or median strip Driveway is first lane;
The classification of road coefficient of 2 car lane of table
3 bicycle road possible traffic capacity value of table
Each lane reduction coefficient of table 4
2. constructing bus stop integrated service assessment of levels model, quantization modulation standard is determined
Bus stop integrated service assessment of levels model and quantization modulation standard building process such as 3 institute of attached drawing in the present invention Show, particular content is as follows:
1) bus stop integrated service assessment of levels model
Bus stop integrated service assessment of levels model is based on bus stop service level and bus stop phase The weighted average model of neighboring trace road saturation degree.The present invention is determined using the bus stop integrated service assessment of levels model of building Whether bus stop should optimize the effect after setting and optimization.
In formula:
S indicates bus stop composite evaluation function value;
α indicates bus stop service level weight;
V indicates the bus stop adjacent road maximum volume of traffic, unit pcu/h;
β indicates bus stop adjacent road saturation degree weight.
2) bus stop integrated service level quantization grade scale
The classification of bus stop integrated service level is determined by bus stop service level and road saturation degree.Public transport Bus stop service level class standard is as shown in table 5, and road saturation gradation standard is as shown in table 6.
5 bus stop service level class standard of table
6 Assessment of Serviceability of Roads classification standard of table
In conjunction with table 5 and table 6, bus stop integrated service horizontal mipmap standard is obtained, as shown in table 7.
7 bus stop integrated service horizontal mipmap standard of table
3. constructing bus stop Optimized Measures collection
The specific building process of bus stop Optimized Measures collection is as shown in Fig. 4 in the present invention.
The type for choosing increase bus stop Berth number and change bus stop carries out intersection group as essential element It closes, bus stop Optimized Measures collection is indicated in a manner of matrix, specific as follows:
1. beeline busstop
In formula:
apIt indicates to increase p berth;
bmIt indicates to change bus stop type, as m=0, indicates that bus stop type is constant, as m=1, indicate bus stop Bay type multi-storied is changed to by linear;
E indicates the existing Berth number of bus stop, and unit is a;
2. bay engineering constructions
4. the bus stop integrated service under quantization modulation Different Optimization measure is horizontal, optimum optimization measure is selected
The present invention is based on the Optimized Measures of the degree of optimization of quantization modulation bus stop to select process as shown in Fig. 5, Specific step is as follows:
1) it calculates horizontal using the bus stop integrated service in the case of Different Optimization measure;
2) size of the integrated service level after being optimized according to bus stop sorts to Optimized Measures;
3) it is based on bus stop integrated service level quantization grade scale, analysis is stopped using public transport after Different Optimization measure It pulls in the variation of integrated service hierarchical level, selects optimum optimization measure.
Embodiment
A kind of bus stop optimal setting embodiment of the method considering quantization modulation of the present invention gives implementation Process and solving result, but protection scope of the present invention is not limited to following embodiments.
1. the big south gate station of work that the method for the invention is applied to Lake Nanhu, Changchun main road is described in detail
The Changchun south gate Gong great station is the two berth beeline busstops near intersection, adjacent two lane road Road, and nearby there is school, in peak period, vehicle flowrate is high.It is according to the investigation Changchun public transport overall trip speed that is averaged 7.67m/s, the vehicle mean deceleration time at the big south gate station of work are 7.60s, and the average acceleration time is 7.48s, and vehicle arriving rate is 33bus/h.Take R=0.833, Eb=2, δ=5, respectively in the case where α=0.2, β=0.8 and α=0.8, β=0.2, to public affairs Bus stop optimization aim is handed over to carry out parameter calibration, calibration result is as shown in table 8.
8 bus stop predetermined optimizing target parameter calibration value of table
2. constructing bus stop integrated service assessment of levels model, quantization modulation standard is determined
Calculate separately α=0.2, β=0.8 and α=0.8, under β=0.2 two kinds of weight, the comprehensive clothes of respective bus stop Business horizontal mipmap standard.In conjunction with table 7, the bus stop integrated service horizontal mipmap standard in the case of two kinds of weights is obtained, such as Shown in table 9.
Bus stop integrated service horizontal mipmap standard under each weight of table 9
It can be obtained according to table 8, as α=0.2, β=0.8, S=0.81, at that time α=0.8, β=0.2, S=0.45.In conjunction with Table 9 is it is found that work as α=0.2, and when β=0.8, the overall merit service level at the station G belongs to C grades.As α=0.8, β=0.2, belong to In B grades.So the reply big south gate station of work optimizes, increase bus stop grade.
3. the Optimized Measures collection that building meets embodiment actual conditions
The Changchun south gate Gong great station is the two berth beeline busstops near intersection, and Optimized Measures are concentrated Include the following three types bus stop Optimized Measures:
(1) it is changed to bay engineering constructions (a0b1);
(2) increase a Berth number (a1b0);
(3) increase a berth (a while being changed to bay engineering constructions1b1)。
4. the bus stop integrated service under quantization modulation Different Optimization measure is horizontal, optimum optimization measure is selected
1) integrated service after calculating bus stop optimization is horizontal
α=0.2, β=0.8 and α=0.8 are calculated separately, under β=0.2 two kinds of weight, using the Optimized Measures of three of the above Integrated service afterwards is horizontal, as shown in Table 10 and Table 11.
Overall merit (α=0.2, β=0.8) under the various Optimized Measures of table 10
Overall merit (α=0.8, β=0.2) under the various Optimized Measures of table 11
2) bus stop Optimized Measures sort
As shown in Table 10, in the case of α=0.2, β=0.8, the Optimized Measures of bus stop sort are as follows: a1b1> a0b1 > a1b0.As shown in Table 11, in the case of α=0.8, β=0.2, the Optimized Measures of bus stop sort are as follows: a1b1> a1b0> a0b1
3) based on change of rank after bus stop optimization, optimum optimization measure is selected
It is available in conjunction with table 9 and table 10, in the case of α=0.2, β=0.8, synthesis after Different Optimization measure is taken to comment The classification situation of valence, is shown in attached drawing 6.Wherein, a0b1And a1b1The service level of website is set to be upgraded to B grades by C grades.And a1b0Though reducing Service level, optimizes website, but grade is constant.So as α=0.2, when β=0.8, a is selected0b1As work great Nan The optimum optimization measure at door station.
It is available in conjunction with table 9 and table 11, in the case of α=0.8, β=0.2, synthesis after Different Optimization measure is taken to comment The classification situation of valence, is shown in attached drawing 7.Wherein, a1b0And a1b1The service level of website is set to be upgraded to A grades by B grades.And a0b1Though reducing Service level, optimizes website, but the grade of website is not made to change.So as α=0.8, β=0.2 When, select a1b0Optimum optimization measure as the big south gate station of work.

Claims (5)

1. a kind of bus stop optimal setting method for considering quantization modulation, which is characterized in that comprise the steps of:
(1) setting improves bus stop and the adjacent road traffic capacity is optimization aim;
(2) bus stop integrated service assessment of levels model is constructed, determines quantization modulation standard;
(3) bus stop Optimized Measures collection is constructed;
(4) the bus stop integrated service under the measure of quantization modulation Different Optimization is horizontal, selects optimum optimization measure.
2. a kind of bus stop optimal setting method of consideration quantization modulation described according to claim 1, feature It is:
Bus stop described in step (1) and the adjacent road traffic capacity, in particular to:
1) Transit Capacity of Bus Stops
Transit Capacity of Bus Stops is calculated according to U.S.'s traffic engineering handbook model:
In formula:
CBIndicate the website traffic capacity, unit bus/h;
NebIt is expressed as effective berth number, unit is a;
G indicates the effective green time of a signal phase, unit s;
C indicates the cycle duration of a signal phase, unit s;
R indicates to reach the reduction factor of fluctuation and compensation residence time;
D indicates mean residence time, unit s;
tcIndicate resolution time, unit s;
2) the bus stop adjacent road traffic capacity
1. if beeline busstop, the adjacent road traffic capacity
In formula:
CAIndicate the bus stop adjacent road traffic capacity, unit pcu/h;
Cp1Indicate the traffic capacity in linear bus stop outermost lane, unit pcu/h;
T1Indicate the public transport influence time in linear bus stop outermost lane, unit s;
Cp2Indicate the traffic capacity of linear bus stop time kerb lane, unit pcu/h;
T2Indicate the public transport influence time of linear bus stop time kerb lane, unit s;
The number of track-lines of k expression bus stop adjacent road;
λ indicates the frequency that public transport reaches, unit bus/h;
EbIndicate that bus is converted into the vehicle conversion factor of car;
CpiIndicate the traffic capacity in linear i-th lane of bus stop adjacent road, unit pcu/h;
2. if bay engineering constructions, the adjacent road traffic capacity
In formula:
C'p1Indicate the traffic capacity in Harbor-shaped bus stop outermost lane, unit pcu/h;
T1' indicate Harbor-shaped bus stop outermost lane public transport influence time, unit s;
C'piIndicate the traffic capacity in i-th lane of Harbor-shaped bus stop adjacent road, unit pcu/h.
3. a kind of bus stop optimal setting method of consideration quantization modulation described according to claim 1, feature It is:
Bus stop integrated service assessment of levels model is constructed described in step (2), determines quantization modulation standard, particular content It is as follows:
1) bus stop integrated service assessment of levels model
Bus stop integrated service assessment of levels model is based on bus stop service level and bus stop neighboring track The weighted average model of road saturation degree;
In formula:
S indicates bus stop composite evaluation function value;
α indicates bus stop service level weight;
V indicates the bus stop adjacent road maximum volume of traffic, unit pcu/h;
β indicates bus stop adjacent road saturation degree weight;
2) bus stop integrated service level quantization grade scale
By bus stop level of service classification standard and the road saturation gradation criteria for classifying, using weighted mean method, Construct bus stop integrated service level quantization grade scale.
4. a kind of bus stop optimal setting method of consideration quantization modulation described according to claim 1, feature It is:
Bus stop Optimized Measures collection is constructed described in step (3), the specific steps are as follows:
It chooses and increases bus stop Berth number and change the type of bus stop as essential element building bus stop Optimized Measures collection, specific as follows:
1. beeline busstop
In formula:
apIt indicates to increase p berth;
bmIt indicates to change bus stop type, as m=0, indicates that bus stop type is constant, as m=1, indicate bus stop by straight line Formula is changed to bay type multi-storied;
E indicates the existing Berth number of bus stop, and unit is a;
2. bay engineering constructions
5. a kind of bus stop optimal setting method of consideration quantization modulation described according to claim 1, feature It is:
Bus stop integrated service under quantization modulation Different Optimization measure described in step (4) is horizontal, selects optimum optimization Measure, the specific steps are as follows:
1) it calculates horizontal using the bus stop integrated service in the case of Different Optimization measure;
2) size of the integrated service level after being optimized according to bus stop sorts to Optimized Measures;
3) it is based on bus stop integrated service level quantization grade scale, after analysis uses Different Optimization measure, bus parking It stands the variation of integrated service hierarchical level, selects optimum optimization measure.
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CN110288829A (en) * 2019-06-19 2019-09-27 河海大学 A kind of bay engineering constructions parking position quantity setting method of discrimination
CN112185109A (en) * 2020-09-14 2021-01-05 河海大学 Bearing capacity probability reduction representation method for intelligent network connection road
CN114023065A (en) * 2021-11-03 2022-02-08 沈阳世纪高通科技有限公司 Algorithm for intelligently diagnosing intersection service level by utilizing video analysis data
CN114780892A (en) * 2022-03-31 2022-07-22 武汉古宝斋文化艺术品有限公司 Online exhibition and display intelligent interaction management system based on artificial intelligence

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