CN110197335A - A kind of get-off stop number calculation method based on probability OD distributed model - Google Patents
A kind of get-off stop number calculation method based on probability OD distributed model Download PDFInfo
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- CN110197335A CN110197335A CN201910479222.9A CN201910479222A CN110197335A CN 110197335 A CN110197335 A CN 110197335A CN 201910479222 A CN201910479222 A CN 201910479222A CN 110197335 A CN110197335 A CN 110197335A
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Abstract
The invention discloses a kind of get-off stop number calculation methods based on probability OD distributed model, are related to traffic programme field, include the following steps, handle information；Calculating is got off probability；Calculate land character；It calculates website and changes to ability；Normalized；Calculate the number of getting off of each website.The get-off stop number calculation method based on probability OD distributed model, the data of passenger's IC card data and barcode scanning payment are not only utilized, and also contemplate passenger's trip distance, website surrounding ground utilizes the influences of the factors to passenger getting off car such as property, subsystem being derived for OD matrix, accurate get-off stop number is provided, even if to the passenger for swiping the card primary and a small number of irregular passengers for causing not determining get-off stop by other methods that go on a journey of partially only getting on the bus, this method can also extrapolate the number of get-off stop, greatly improve the precision of bus passenger flow OD matrix reckoning.
Description
Technical field
The present invention relates to traffic programme field, specially a kind of get-off stop number based on probability OD distributed model is calculated
Method.
Background technique
With the rapid growth of urban population, urban highway traffic is increasingly crowded, between communications and transportation power and actual demand
The contradiction of energy is more and more prominent.Urban public transport is big with its freight volume, cheap, and can save the energy and road sky
Between, the features such as reducing environmental pollution, become the preferred trip mode of most of residents.But currently, China's urban mass-transit system
Not only transport capacity is insufficient, it is difficult to meet actual passenger flow demand, and ride comfort level, public transport intelligence in service quality, passenger
Can management aspect the main problems are as follows: 1) major public bus network is crowded by bus, service quality is caused to decline；2) public transport
Configuration is unreasonable, and public transit vehicle resource does not obtain allocation optimum, causes the great wasting of resources；3) public transport intelligence pipe
It manages technological means to fall behind, inefficiency, operation cost height etc..
Reasonable layout of roads, efficient operation management, practical policy support are convenient, fast, efficient public transport clothes
The guarantee of business, and plan that operation management is formulated to Public transport policy from public transport, and all be unable to do without all kinds of traffic circulations in public transit system
The support of characteristic, passenger's OD matrix are exactly wherein mostly important one of data.Currently, in single public bus network passenger flow OD
The matrix method Main Analysis rule of bus passenger travel behaviour, on bus station influence the research of passenger getting off car probability compared with
It is few.Wherein, some methods will affect distance of the factor such as trip of passenger getting off car, change when research bus passenger gets off probability
The utilization property etc. for multiplying ability and get-off stop surrounding ground has also contemplated into, but its first and last station is got on or off the bus number and probability
It is not all handled suitably, and has only used IC card data.It is additionally based on and proposes on the basis of receipt method survey data
Public bus network OD analysis method, can accurately obtain the passenger flow OD of public bus network, while can also obtain route each website on the way
The information such as boarding and alighting, section flow.However, based on manual research, not only sampling rate is low, and research cost is high, labor intensive object
Power financial resources, and be affected by human factors greatly, need a large amount of personnel to go to participate in fact-finding process, this is easy for by personnel specialty
The influence of attainment.Obviously, either all it is difficult to obtain the complete OD matrix of passenger by equipment or manual research.
Summary of the invention
(1) the technical issues of solving
In view of the deficiencies of the prior art, the present invention provides a kind of get-off stop population number meters based on probability OD distributed model
Calculation method, solve existing get-off stop number calculation method either pass through equipment or manual research be all difficult obtain multiply
The problem of objective complete OD matrix.
(2) technical solution
In order to achieve the above object, the present invention is achieved by the following technical programs: one kind being based on probability OD distributed model
Get-off stop number calculation method, include the following steps,
(1) information is handled, obtains the IC card information of passenger from system server, mobile barcode scanning payment information and known
OD information processes getting on or off the bus for one way route first and last website respectively；
(2) it calculates probability of getting off and the average bus trip approach of one way route is calculated according to known OD matrix information
Website quantity λ, probability of getting off are as follows:
Wherein FijIt gets on the bus the probability that j website gets off for passenger in i website；λ is average bus trip by way of website quantity, when
λ=m-i when the later website quantity of i website is less than average bus trip by way of website quantity, m are the unidirectional website number of route；
(3) land character is calculated, the site information of getting on the bus that barcode scanning payment data is released is swiped the card and moved using passenger, is counted
Calculate the land character around website, it may be assumed that
Wherein WiFor website i land used sucting strength coefficient, SiIt gets on the bus number for i website；
(4) it calculates website and changes to ability, public bus network quantity can be changed to by counting each website, and website transfer capacity formula is
Wherein li changes to public bus network number for i website；
(5) normalized, according to Fij、WiAnd KiCalculation formula, obtain website and get off probability Pij:
Normalized obtains the probability of getting off of each website of one way route:
(6) number of getting off of each website is calculated, each website is got off the calculation formula of number are as follows:
Then all one way routes are traversed, the number of getting off of all route one way websites is exported.
Preferably, the processing method of getting on or off the bus of the one way route first and last website is 0 including number of getting off at first stop, on terminal
Vehicle number is 0, and the website setting number to number of not getting on the bus is 0.001.
Preferably, the get-off stop number should be rounded up accordingly.
Preferably, it is 400m around website that each website, which can change to the scope of statistics of public bus network quantity,.
(3) beneficial effect
The present invention provides a kind of get-off stop number calculation methods based on probability OD distributed model.Have following beneficial
Effect:
The get-off stop number calculation method based on probability OD distributed model, by not only allowing for passenger's trip distance
The influence selected with the usability confrontation passenger getting off car website of website surrounding ground, at the same also to the first and last station of one way route above and below
Vehicle number is reasonably handled, so that initial station be made to get off number 0, terminal number of getting on the bus is 0, reach always get on the bus number with always
The effect of number of getting off balance.Compared to other methods for calculating get-off stop number, passenger's IC card is not only utilized in this method
The data of data and barcode scanning payment, and passenger's trip distance, website surrounding ground are also contemplated using factors such as properties to multiplying
The influence that visitor gets off can derive subsystem for OD matrix and provide accurate get-off stop number, even if on part
The passenger and a small number of irregular passengers for causing not determining get-off stop by other methods that go on a journey that vehicle is swiped the card primary, this method
The number that get-off stop can also be extrapolated, can be used as part passenger can not determine a kind of supplement calculation side of its OD matrix
Method greatly improves the precision of bus passenger flow OD matrix reckoning.
Detailed description of the invention
Fig. 1 is the method for the present invention flow chart.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Fig. 1, the present invention provides a kind of technical solution: a kind of get-off stop number based on probability OD distributed model
Calculation method, specific steps are as follows:
Step 1: the IC card information of passenger, mobile barcode scanning payment information and known OD letter are obtained from system server
Breath；
Step 2: processing getting on or off the bus for one way route first and last website respectively, i.e., number of getting off at first stop is 0, on terminal
Vehicle number is 0, and the website setting number to number of not getting on the bus is 0.001；
Step 3: according to known OD matrix information, the average bus trip approach website quantity of one way route is calculated
λ；
Step 4: calculating the influence of bus trip distance, when passenger selects bus trip, typically belongs to going out for middle and long distance
Row selects public transport apart from too long or too short all few passengers, is shown according to related data, probability of getting off is with by way of website quantity
Obey Poisson distribution.Therefore, by the probability of getting off of the influence of bus trip distance are as follows:
In formula: in formula: Fij is passenger to get on the bus the probability that j website gets off in i website, and λ is average bus trip by way of website
Quantity, λ=m-i when the later website quantity of i website is less than average bus trip by way of website quantity, m are that route is unidirectionally stood
Point number；
Step 5: the influence of land character around website is calculated.There are shopping centre, railway station, the lands used such as subway for surrounding
The passenger flow that the website of property attracts is more, these websites are got on the bus, and number is more, and number of getting off is also more, illustrates suction of the website to passenger
Draw also larger.Therefore, it can use passenger and swipe the card and move the site information of getting on the bus that barcode scanning payment data is released, carry out computer installation
Land character around point, it may be assumed that
In formula: Wi is website i land used sucting strength coefficient；Si is that i website is got on the bus number；
Step 6: the influence of website transfer ability is calculated.The number of get-off stop, which will receive, can change to website around website
Several influences, the transfer website around get-off stop is more, and the ability of website transfer is stronger, and number of getting off accordingly is also got over
It is more.Therefore, website and website can be changed into using changing to public bus network and calculate the transfer ability of website around each website
Maximum distance is set as 400m, formula are as follows:
In formula: li changes to public bus network number for i website；
Step 7: normalized.By step 4, step 5, Fij, Wj and Kj that step 6 obtains obtain website and get off
Probability P ij:
Normalized obtains the probability of getting off of each website of one way route:
Step 8: the number of getting off of each website is calculated.Other than number of getting off at first stop is 0, under other each websites
Vehicle number is that website number of getting on the bus is got off the summation of number to the website probability before the website, for example, what the 2nd website was got off
Passenger is from the passenger to get on the bus at first stop, i.e. D2=S1×P′12, the calculation formula of number therefore each website is got off are as follows:
Step 9: rounding up accordingly to the get-off stop number of calculating, and traverses all one way routes, defeated
The number of getting off of all route one way websites out.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (4)
1. a kind of get-off stop number calculation method based on probability OD distributed model, it is characterised in that: include the following steps,
(1) information is handled, the IC card information of passenger, mobile barcode scanning payment information and known OD letter are obtained from system server
Breath, processes getting on or off the bus for one way route first and last website respectively；
(2) it calculates probability of getting off and the average bus trip approach website of one way route is calculated according to known OD matrix information
Quantity λ, probability of getting off are as follows:
Wherein FijIt gets on the bus the probability that j website gets off for passenger in i website；λ is average bus trip by way of website quantity, when i stands
λ=m-i when the later website quantity of point is less than average bus trip by way of website quantity, m are the unidirectional website number of route；
(3) land character is calculated, the site information of getting on the bus that barcode scanning payment data is released, computer installation are swiped the card and moved using passenger
Land character around point, it may be assumed that
Wherein WiFor website i land used sucting strength coefficient, SiIt gets on the bus number for i website；
(4) it calculates website and changes to ability, public bus network quantity can be changed to by counting each website, and website transfer capacity formula is
Wherein li changes to public bus network number for i website；
(5) normalized, according to Fij、WiAnd KiCalculation formula, obtain website and get off probability Pij:
Normalized obtains the probability of getting off of each website of one way route:
(6) number of getting off of each website is calculated, each website is got off the calculation formula of number are as follows:
Then all one way routes are traversed, the number of getting off of all route one way websites is exported.
2. a kind of get-off stop number calculation method based on probability OD distributed model according to claim 1, feature
Be: the one way route first and last website get on or off the bus processing method include initial station get off number be 0, terminal get on the bus number be 0,
Website setting number to number of not getting on the bus is 0.001.
3. a kind of get-off stop number calculation method based on probability OD distributed model according to claim 1, feature
Be: the get-off stop number should be rounded up accordingly.
4. a kind of get-off stop number calculation method based on probability OD distributed model according to claim 1, feature
Be: the scope of statistics that each website can change to public bus network quantity is 400m around website.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111292076A (en) * | 2020-01-20 | 2020-06-16 | 支付宝(杭州)信息技术有限公司 | Method, system and device for determining degree of congestion of public transport means |
| CN111932925A (en) * | 2020-07-09 | 2020-11-13 | 中咨数据有限公司 | Method, device and system for determining travel passenger flow of public transport station |
| CN111932867A (en) * | 2020-06-18 | 2020-11-13 | 东南大学 | Multisource data-based bus IC card passenger getting-off station derivation method |
| CN113159416A (en) * | 2021-04-19 | 2021-07-23 | 深圳大学 | Calculation method for bus single card swiping get-off station and intelligent terminal |
| CN114936959A (en) * | 2022-06-17 | 2022-08-23 | 上海市城乡建设和交通发展研究院 | Method for realizing vehicle matching and passenger boarding point identification based on IC card swiping and bus track data |
| CN117408436A (en) * | 2023-12-01 | 2024-01-16 | 智达信科技术股份有限公司 | Method and system for estimating number of passengers in bus route stations |
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| CN109615036A (en) * | 2018-11-30 | 2019-04-12 | 深圳大学 | A kind of fine particle exposure appraisal procedure based on bus IC card-punching system |
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Patent Citations (2)
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| CN108288321A (en) * | 2018-01-24 | 2018-07-17 | 哈尔滨工业大学 | Method is determined based on the volume of the flow of passengers above and below the bus station of IC card data and vehicle GPS information |
| CN109615036A (en) * | 2018-11-30 | 2019-04-12 | 深圳大学 | A kind of fine particle exposure appraisal procedure based on bus IC card-punching system |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111292076A (en) * | 2020-01-20 | 2020-06-16 | 支付宝(杭州)信息技术有限公司 | Method, system and device for determining degree of congestion of public transport means |
| CN111932867A (en) * | 2020-06-18 | 2020-11-13 | 东南大学 | Multisource data-based bus IC card passenger getting-off station derivation method |
| CN111932925A (en) * | 2020-07-09 | 2020-11-13 | 中咨数据有限公司 | Method, device and system for determining travel passenger flow of public transport station |
| CN113159416A (en) * | 2021-04-19 | 2021-07-23 | 深圳大学 | Calculation method for bus single card swiping get-off station and intelligent terminal |
| CN113159416B (en) * | 2021-04-19 | 2022-04-15 | 深圳大学 | Calculation method for bus single card swiping get-off station and intelligent terminal |
| CN114936959A (en) * | 2022-06-17 | 2022-08-23 | 上海市城乡建设和交通发展研究院 | Method for realizing vehicle matching and passenger boarding point identification based on IC card swiping and bus track data |
| CN114936959B (en) * | 2022-06-17 | 2023-05-23 | 上海市城乡建设和交通发展研究院 | Method for realizing vehicle matching and identifying passenger getting-on point |
| CN117408436A (en) * | 2023-12-01 | 2024-01-16 | 智达信科技术股份有限公司 | Method and system for estimating number of passengers in bus route stations |
| CN117408436B (en) * | 2023-12-01 | 2024-03-26 | 智达信科技术股份有限公司 | Method and system for estimating number of passengers in bus route stations |
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