CN106682812A - Comprehensive transport system passenger transport mode sharing rate-distance transfer curve determination method - Google Patents
Comprehensive transport system passenger transport mode sharing rate-distance transfer curve determination method Download PDFInfo
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Abstract
The invention discloses a comprehensive transport system passenger transport mode sharing rate-distance transfer curve drawing method. The method includes the following steps that: a stratified random sampling survey method is adopted to obtain regional passenger travel information, a regional traffic travel database is constructed; according to a discrete selection behavior analysis method, a passenger transport mode selection model is constructed, and the parameters of the model are calibrated; the travel utility functions and selection probability expressions of each transport mode are determined according to the total structure of the regional transport modes, sample structures and parameter calibration results; and the selection probabilities of the transport modes under different transport distances are determined, and a regression analysis method is adopted to calibrate the selection probabilities of the transport modes, and a transport distance-based transport mode selection probability expression is determined. With the method of the invention adopted, the research gap of integrated transport system passenger transport mode sharing rate-distance transfer curve determination methods in China can be filled, and key theoretical support and technical support can be provided for comprehensive traffic planning software research and development. The method of the invention has a very broad application prospect.
Description
Technical field
The invention belongs to comprehensive transportation planning field, more particularly to comprehensive system of transport passenger traffic Modal split rate-distance turn
Move curve and determine method.
Background technology
Transportation is the infrastructural industries of national economy and social development and service trade.Century more than one with
Come, along with economic development and the progress of human society, the way of realization of transportation there occurs great change.From with " water transport
Based on ", " based on railway " is gradually developed into modern railways transport, highway transportation, water transport, AIRLINE ＆ AIRPORT and pipeline transportation etc. five
Plant the system integration of the overall transportation system of means of transportation composition.Development various forms of transport are shared out the work and helped one another, cooperation
The comprehensive system of transport be new trend, the new direction for adapting to China's " band is all the way " national strategy and new Urbanization Progress.
Can the comprehensive system of transport make each means of transportation carry out smooth efficient cooperation cooperation, be to affect multi-transportation effect
The key of energy height, this requires the planning that science is carried out to each mode of comprehensive transport capability.Research and development comprehensive system of transport collaboration
Planning platform and its software are the bases for realizing each mode collaborative configuration of the comprehensive system of transport, and comprehensive transport capability passenger traffic
Modal split rate-apart from transfer curve demarcation with draw be comprehensive system of transport collaborative planning platform and its research and development of software weight
Ingredient is wanted, comprehensive transport capability Traffic mode split rate-apart from transfer curve how is scientifically and rationally demarcated for synthesis
The research and development of transportation system collaborative planning platform have highly important theory value and practice significance.
In current relevant Traffic mode split rate-demarcate in research apart from transfer curve, urban transportation is often mainly examined
The object of worry, and rare if region means of transportation such as railway, aviation, water transport, highway etc. be related to.In consideration of it, this research is for comprehensive
Share rate in conjunction transportation system collaborative planning platform development process-determine method problem apart from transfer curve, expands and is based on
The transportation modes selection Probability Study of passenger region travel activity, it is important that seek multimode housing choice behavior significance affect because
Element, the expression-form of utility function simultaneously set up corresponding select probability mathematical model.Achievement in research can be multi-mode multi-transportation
System " four stages " requirement forecasting technology provides crucial theory support, can be the comprehensive fortune with China's independent intellectual property right
Defeated systematic planning software development provides scientific and reasonable foundation, with very wide application prospect.
During the present invention is realized, inventor has found that prior art at least has problems with：
There is presently no with regard to establishing comprehensive system of transport passenger traffic Modal split rate-apart from the system approach of transfer curve.
The content of the invention
Present invention aims to integrated transportation system collaborative planning platform and the transporter in software development process
Formula share rate-determine method problem apart from transfer curve, with mathematical statistics and Data Modeling Method as technological means, there is provided
Can be used for comprehensive system of transport passenger traffic Modal split rate-determine method apart from transfer curve.
Comprehensive system of transport passenger traffic Modal split rate of the present invention-determine method apart from transfer curve, by following step
Suddenly carry out：
First, build passenger's regional complex traffic trip and select data base；
2nd, regional complex transport multimode trade-off decision model is set up；
3rd, each mode select probability model of the comprehensive system of transport is determined；
4th, each mode share rate-apart from transfer curve expression formula is determined.
Optionally, regional complex traffic trip is built in step one selects data base to carry out as follows：
It is determined that investigation scale,
In formula：N-investigation sample number
Z values corresponding to z-confidence level；
S-standard deviation；
E-limit of error；
N-survey population number.
Determine investigation method,
Have low frequency, distance, housing choice behavior rare and the extensive feature of survey scope according to regional traffic, take point
Layer random sampling method carries out traffic study；Stratified random sampling method is referred to carries out survey population according to various forms of transport
Layering, is then investigated for every kind of means of transportation with simple random sampling mode sample drawn.
Determine investigation content,
Passenger's individual attribute：Sex, the age, occupation, monthly income, whether public expense, whether have private car；Trip attribute：Go out
Row purpose, trip origin and destination；Booking attribute：Booking mode；Arrive at a station attribute：Arrive at a station mode, arrival time, expense of arriving at a station；Transfer
Attribute：Transfer time (contains the waiting time)；Travelling attribute：Trip mode, travel time, travel cost；Attribute leaving from station：Side leaving from station
Formula, time leaving from station, expense leaving from station.
Build data base,
Method is determined according to investigation content property value, based on investigation sample data passenger's regional traffic choice for traveling row is built
For information database, information database entry include travelling Information ID, sex, the age, occupation, monthly income, whether public expense,
Whether private car, trip purpose, trip distance, booking mode, arrive at a station mode, arrival time, arrive at a station expense, transfer time are had
(containing the waiting time), trip mode, travel time, travel cost, mode leaving from station, time leaving from station, expense leaving from station.
Optionally, region transportation modes selection model is built in step 2 is carried out as follows：
Based on passenger region transportation modes selection behavior database, using region means of transportation classification as independent variable, will be individual
Body attribute, the attribute that arrives at a station, passenger transfer attribute, trip attribute, property variable leaving from station as dependent variable, using multinomial logistic
Model, takes progressive method forward to obtain models fitting McFadden values and parameter estimation result, unites according in parameter estimation result
The significance level of metering, judges variable significance.If the significance level Sig of certain variable j statistics<0.05, illustrate the change
Factor betas of the amount j to dependent variableijImpact to passenger's housing choice behavior is larger, passenger's housing choice behavior model should be included, conversely, then recognizing
For βijImpact to passenger's housing choice behavior can be ignored.According to the significance level of variable, judge that arrival time, time leaving from station are
The market competition of no impact multi-transportation mode.
Optionally, determine that Transportation modes select probability expression formula is carried out as follows in step 3：
Determine Transportation modes select probability utility function,
According to parameter estimation result, overall and sample Transportation modes structure ratio, the effectiveness letter of determination mode i select probability
Number UiAs shown in following formula (1).
In formula：UiThe utility function of-mode i select probabilities；
xijJ-th distinguished variable of-mode i；
βijJ-th distinguished variable coefficient of-mode i；
SFiThe selection percentage of mode i in-sample；
PFiThe selection percentage of mode i in-totality；
Determine Transportation modes select probability expression formula,
According to utility function and statistical analysis principle, using Bus as reference mode, Transportation modes select probability is determined
Expression formula, shown in equation below.
In formula：UPLANEThe utility function of-means of transportation-aircraft select probability；
UTRAINThe utility function of-means of transportation-general ferrum select probability；
UHSTThe utility function of-means of transportation-high ferro select probability；
The select probability of P (PLANE)-means of transportation-aircraft；
The select probability of the general ferrum of P (TRAIN)-means of transportation-；
The select probability of P (HST)-means of transportation-high ferro；
The select probability of P (BUS)-means of transportation-high speed bus.
Optionally, determine that Transportation modes are carried out as follows apart from transfer curve expression formula in step 4：
It is determined that Transportation modes select probability under different transportation ranges,
According to Transportation modes select probability expression formula, using transportation range as independent variable, other significance variations
Average, calculate Transportation modes select probability value under different transportation ranges.
It is determined that the multimode share rate-distance Curve based on transportation range,
According to transportation range and its corresponding select probability value, regression analyses fitting select probability-distance transfer is taken
Curve, determines multi-transportation mode select probability-apart from transfer curve function.
The invention has the advantages that：Comprehensive transport capability passenger traffic Modal split rate-distance of the present invention turns
Move curve and determine method, for comprehensive system of transport passenger traffic Modal split rate-blank apart from the research of transfer curve, according to each fortune
Defeated mode operation characteristic, passenger traffic Modal split rate under the research multi-mode comprehensive system of transport-apart from transfer curve expression-form, visit
Seek comprehensive system of transport passenger traffic Modal split rate-apart from transfer curve demarcate major influence factors and its modeling method, system
Property ground set up based on distance comprehensive system of transport passenger traffic Modal split rate function expression, be the multi-mode comprehensive system of transport
The important component part that collaborative planning platform is developed.
Description of the drawings
In order to be illustrated more clearly that technical scheme, embodiment will be described below needed for the accompanying drawing to be used
It is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, general for this area
For logical technical staff, on the premise of not paying creative work, can be with according to these other accompanying drawings of accompanying drawings acquisition.
Fig. 1 is the stream of comprehensive system of transport passenger traffic Modal split rate-determine apart from the transfer curve method that the present invention is provided
Journey schematic diagram；
Fig. 2 is aircraft select probability-trip distance transfer curve that the present invention is provided；
Fig. 3 is Conventional trains select probability-trip distance transfer curve that the present invention is provided；
Fig. 4 is high ferro select probability-trip distance transfer curve that the present invention is provided；
Fig. 5 is bus select probability-trip distance transfer curve that the present invention is provided.
Specific embodiment
To make the structure and advantage of the present invention clearer, the structure of the present invention is made further below in conjunction with accompanying drawing
Description.
Technical solution of the present invention is described in detail below, but protection scope of the present invention is not limited to the enforcement
Example.
Comprehensive system of transport passenger traffic Modal split rate of the present invention-determine method apart from transfer curve, such as Fig. 1 institutes
Show, carry out as follows：
First, build passenger's regional complex traffic trip and select data base；
2nd, regional complex transport multimode trade-off decision model is set up；
3rd, each mode select probability model of the comprehensive system of transport is determined；
4th, each mode share rate-apart from transfer curve expression formula is determined.
Optionally, regional complex traffic trip is built in step one selects data base to carry out as follows：
It is determined that investigation scale,
In formula：N-investigation sample number
Z values corresponding to z-confidence level；
S-standard deviation；
E-limit of error；
N-survey population number.
It is 95% to take confidence interval, and maximum variance is 0.5, and limit of error is 0.05, according to Department of Transportation's statistical yearbook,
China regional population 120.92 hundred million person-times of scale of trip in 2014, wherein high-speed railway is 14.21 hundred million person-times, and general fast railway is
9.37 hundred million person-times, highway be 190.82 hundred million person-times, civil aviaton be 3.9 hundred million person-times, region entirety trip in, general ferrum, high ferro, aircraft,
Each mode proportion of high speed bus is respectively 4.29%, 6.51%, 1.79%, 87.41%.Determine that n is according to formula (1)
514.
Determine investigation method,
Have low frequency, distance, housing choice behavior rare and the extensive feature of survey scope according to regional traffic, take point
Layer random sampling method carries out traffic study；Stratified random sampling method is referred to carries out survey population according to various forms of transport
Layering, is then investigated for every kind of means of transportation with simple random sampling mode sample drawn.
There is certain error in view of traffic study, in order to ensure the accuracy and reliability of follow-up modeling, this research
Using stratified sampling method, in airport, high ferro station, railway station and passenger traffic stations on highway passenger's Conventional trains, high ferro, aircraft, height are obtained
Fast bus is gone on a journey effective investigation sample 2000, and much larger than theoretical demand value, total size meets modeling demand.Wherein in sample
General ferrum, high ferro, aircraft, the ratio of high speed bus are respectively 29%, 26%, 25%, 20%.
Determine investigation content,
Passenger's individual attribute：Sex, the age, occupation, monthly income, whether public expense, whether have private car；Trip attribute：Go out
Row purpose, trip origin and destination；Booking attribute：Booking mode；Arrive at a station attribute：Arrive at a station mode, arrival time, expense of arriving at a station；Transfer
Attribute：Transfer time (contains the waiting time)；Travelling attribute：Trip mode, travel time, travel cost；Attribute leaving from station：Side leaving from station
Formula, time leaving from station, expense leaving from station.
This research in addition to individual attribute, trip attribute, also belongs to from the visual angle design seismic wave content of overall process including booking
The trip information of the aspect such as property, the attribute that arrives at a station, passenger transfer attribute, mode attribute, attribute leaving from station；Specific experimental design attribute
And value is as shown in appendix 1.
Build data base,
Method is determined according to investigation content property value, based on investigation sample data passenger's regional traffic choice for traveling row is built
For information database, information database entry include travelling Information ID, sex, the age, occupation, monthly income, whether public expense,
Whether private car, trip purpose, trip distance, booking mode, arrive at a station mode, arrival time, arrive at a station expense, transfer time are had
(containing the waiting time), trip mode, travel time, travel cost, mode leaving from station, time leaving from station, expense leaving from station.
Sample data based on investigation builds regional traffic housing choice behavior information database, and information database entry includes trip
Objective trip information ID, sex, the age, occupation, monthly income, whether public expense, whether have private car, trip purpose, trip distance, purchase
Ticket mode, mode of arriving at a station, arrival time, expense of arriving at a station, transfer time (containing the waiting time), trip mode, travel time, trip
Expense, mode leaving from station, time leaving from station, expense leaving from station.
Optionally, region transportation modes selection model is built in step 2 is carried out as follows：
Based on passenger region transportation modes selection behavior database, using region means of transportation classification as independent variable, will be individual
Body attribute, the attribute that arrives at a station, passenger transfer attribute, trip attribute, property variable leaving from station as dependent variable, using multinomial logistic
Model, takes progressive method forward to obtain models fitting McFadden values and parameter estimation result, unites according in parameter estimation result
The significance level of metering, judges variable significance.If the significance level Sig of certain variable j statistics<0.05, illustrate the change
Factor betas of the amount j to dependent variableijImpact to passenger's housing choice behavior is larger, passenger's housing choice behavior model should be included, conversely, then recognizing
For βijImpact to passenger's housing choice behavior can be ignored.According to the significance level of variable, judge that arrival time, time leaving from station are
The market competition of no impact multi-transportation mode.
Optionally, determine that Transportation modes select probability expression formula is carried out as follows in step 3：
Determine Transportation modes select probability utility function,
According to parameter estimation result, overall and sample Transportation modes structure ratio, the effectiveness letter of determination mode i select probability
Number UiAs shown in following formula (1).
In formula：UiThe utility function of-mode i select probabilities；
xijJ-th distinguished variable of-mode i；
βijJ-th distinguished variable coefficient of-mode i；
SFiThe selection percentage of mode i in-sample；
PFiThe selection percentage of mode i in-totality；
Determine Transportation modes select probability expression formula,
According to utility function and statistical analysis principle, using Bus as reference mode, Transportation modes select probability is determined
Expression formula, shown in equation below.
In formula：UPLANEThe utility function of-means of transportation-aircraft select probability；
UTRAINThe utility function of-means of transportation-general ferrum select probability；
UHSTThe utility function of-means of transportation-high ferro select probability；
The select probability of P (PLANE)-means of transportation-aircraft；
The select probability of the general ferrum of P (TRAIN)-means of transportation-；
The select probability of P (HST)-means of transportation-high ferro；
The select probability of P (BUS)-means of transportation-high speed bus.
Optionally, determine that Transportation modes are carried out as follows apart from transfer curve expression formula in step 4：
It is determined that Transportation modes select probability under different transportation ranges,
According to Transportation modes select probability expression formula, using transportation range as independent variable, other significance variations
Average, calculate Transportation modes select probability value under different transportation ranges.
It is determined that the multimode share rate-distance Curve based on transportation range,
According to transportation range and its corresponding select probability value, regression analyses fitting select probability-distance transfer is taken
Curve, determines multi-transportation mode select probability-apart from transfer curve function.
Step 5 variable significance analysis and parameter estimation
Using high speed bus as reference mode, carry out model parameter using multinomial logistic models in SPSS softwares and estimate
Meter, parameter estimation result is as shown in table 2.Wald is Wald statistic of test in table；SigFor the significance level of statistic, if
Sig<0.05, illustrate that its impacts of corresponding β to passenger's housing choice behavior is larger, passenger's housing choice behavior model should be included, conversely, then
Think that impacts of the β to passenger's housing choice behavior can be ignored.
Coefficient value β reflects its influence degree of the corresponding characteristic variable to traveller's housing choice behavior, its symbology trip
Visitor selects the probability of certain class mode with the variation tendency of the parameter numerical value.
Parameter estimation result (the reference mode of table 2：High speed bus)
Note：Confidence level is：95%；McFadden R2=0.426
Step 6 determines the utility function of comprehensive system of transport passenger traffic mode select probability
According to parameter estimation result, with reference to aircraft, Conventional trains, high ferro totality and sample proportion, aircraft, common fire are determined
Car, the utility function of high ferro select probability are expressed as follows shown in formula (2)-(4)：
UPLANE=-3.06+0.005x11-0.246x12+0.975x13+1.977x14+1.413x15-1.824x16-ln
(0.26/0.0651)； (2)
UTRAIN=-1.631+0.004x21-0.132x22+2.154x24-ln(0.29/0.0429)； (3)
UHST=-1.308+0.003x31-0.32x32+0.536x33+2.642x34+1.44x35-ln(0.25/0.0179)；
(4)
Step 7 determines comprehensive system of transport passenger traffic mode select probability function
According to above utility function, determine that each passenger traffic mode select probability function is respectively：
Step 8 determines Transportation modes select probability under different transportation ranges
According to the computing formula of the lower transportation modes selection probability of formula (5)-(8) various factors coupling effect, by transportation range
Used as independent variable, other significance variations are averaged, and calculate Transportation modes select probability value under different transportation ranges,
Determine the lower regional traffic mode select probability value based on transportation range of various factors coupling effect, it is as shown in table 3 below.
The lower transportation modes selection probit based on transportation range of the various factors coupling of table 3 effect
Step 9 is determined based on the multimode share rate function of transportation range
According to the lower transportation modes selection probit based on transportation range of various factors coupling effect, in Excell statistical analysiss
Multimode select probability-distance Curve is drawn in software, as shown in Figure 2-5；The choosing of passenger traffic multimode is fitted on this basis
The curve model of probability-distance is selected, as shown in table 4.
Achievement in research can be to develop the Modal split rate-provide apart from transfer curve of integrated transportation system collaborative planning platform
Science, the decision-making foundation of quantification.
The region means of transportation share rate of table 4-apart from transfer curve model
Comprehensive transport capability passenger traffic Modal split rate of the present invention-method is determined apart from transfer curve, for synthesis
Transportation system passenger traffic Modal split rate-blank apart from the research of transfer curve, according to Transportation modes operation characteristic, studies multimode
Passenger traffic Modal split rate under the formula comprehensive system of transport-and apart from transfer curve expression-form, seek comprehensive system of transport passenger traffic mode
Share rate-and apart from the major influence factors and its modeling method of transfer curve demarcation, systematically set up based on the synthesis of distance
The function expression of transportation system passenger traffic Modal split rate, is the important of multi-mode comprehensive system of transport collaborative planning platform development
Ingredient.
It should be noted that：The transporter developed towards comprehensive system of transport collaborative planning platform that above-described embodiment is provided
Formula share rate-determine method apart from transfer curve, only as the share rate-determine method in actual applications apart from transfer curve
Explanation, can also according to actual needs and by said method used in other application scene, its implement process be similar to
In above-described embodiment, repeat no more here.
Each sequence number in above-described embodiment is for illustration only, does not represent and obtained first during the assembling or use of each part
Afterwards sequentially.
Embodiments of the invention are the foregoing is only, it is all in the spirit and principles in the present invention not to limit the present invention
Within, any modification, equivalent substitution and improvements made etc. should be included within the scope of the present invention.
Claims (5)
1. comprehensive system of transport passenger traffic Modal split rate-determine method apart from transfer curve, it is characterised in that enter as follows
OK：
First, build passenger's regional complex traffic trip and select data base；
2nd, regional complex transport multimode trade-off decision model is set up；
3rd, each mode select probability model of the comprehensive system of transport is determined；
4th, each mode share rate-apart from transfer curve expression formula is determined.
2. comprehensive transport capability passenger traffic mode according to claim 1 is apart from transfer curve scaling method, it is characterised in that
Regional complex traffic trip is built in step one selects data base to carry out as follows：
It is determined that investigation scale,
In formula：N-investigation sample number
Z values corresponding to z-confidence level；
S-standard deviation；
E-limit of error；
N-survey population number,
Determine investigation method,
Have low frequency, distance, housing choice behavior rare and the extensive feature of survey scope according to regional traffic, take layering with
Machine sampling survey method carries out traffic study；Stratified random sampling method is referred to carries out survey population point according to various forms of transport
Layer, is then investigated for every kind of means of transportation with simple random sampling mode sample drawn,
Determine investigation content,
Passenger's individual attribute：Sex, the age, occupation, monthly income, whether public expense, whether have private car；Trip attribute：Trip mesh
, trip origin and destination；Booking attribute：Booking mode；Arrive at a station attribute：Arrive at a station mode, arrival time, expense of arriving at a station；Transfer attribute：
Transfer time (contains the waiting time)；Travelling attribute：Trip mode, travel time, travel cost；Attribute leaving from station：Mode leaving from station, from
Stand time, expense leaving from station,
Build data base,
Method is determined according to investigation content property value, based on investigation sample data passenger's regional traffic travel choice behavior letter is built
Breath data base, information database entry includes travelling Information ID, sex, age, occupation, monthly income, whether public expense, whether
Have private car, trip purpose, trip distance, booking mode, mode of arriving at a station, arrival time, expense of arriving at a station, the transfer time (containing etc.
Treat the time), trip mode, the travel time, travel cost, mode leaving from station, the time leaving from station, expense leaving from station.
3. comprehensive system of transport passenger traffic Modal split rate according to claim 1-apart from transfer curve method for drafting, it is special
Levy and be, region transportation modes selection model is built in step 2 to be carried out as follows：
Based on passenger region transportation modes selection behavior database, using region means of transportation classification as independent variable, by individual category
Property, the attribute that arrives at a station, passenger transfer attribute, trip attribute, property variable leaving from station as dependent variable, using multinomial logistic moulds
Type, takes progressive method forward to obtain models fitting McFadden values and parameter estimation result, counts according in parameter estimation result
The significance level of amount, judges variable significance, if the significance level Sig of certain variable j statistics<0.05, illustrate variable j
Factor beta to dependent variableijImpact to passenger's housing choice behavior is larger, should include passenger's housing choice behavior model, otherwise, then it is assumed that
βijImpact to passenger's housing choice behavior can be ignored, and according to the significance level of variable, whether judge arrival time, time leaving from station
Affect the market competition of multi-transportation mode.
4. comprehensive system of transport passenger traffic Modal split rate according to claim 1-apart from transfer curve method for drafting, it is special
Levy and be, determine that Transportation modes select probability expression formula is carried out as follows in step 3：
Determine Transportation modes select probability utility function,
According to parameter estimation result, overall and sample Transportation modes structure ratio, utility function U of determination mode i select probabilityi
As shown in following formula (1),
In formula：UiThe utility function of-mode i select probabilities；
xijJ-th distinguished variable of-mode i；
βijJ-th distinguished variable coefficient of-mode i；
SFiThe selection percentage of mode i in-sample；
PFiThe selection percentage of mode i in-totality；
Determine Transportation modes select probability expression formula,
According to utility function and statistical analysis principle, using Bus as reference mode, determine that Transportation modes select probability is expressed
Formula, shown in equation below,
In formula：UPLANEThe utility function of-means of transportation-aircraft select probability；
UTRAINThe utility function of-means of transportation-general ferrum select probability；
UHSTThe utility function of-means of transportation-high ferro select probability；
The select probability of P (PLANE)-means of transportation-aircraft；
The select probability of the general ferrum of P (TRAIN)-means of transportation-；
The select probability of P (HST)-means of transportation-high ferro；
The select probability of P (BUS)-means of transportation-high speed bus.
5. comprehensive transport capability passenger traffic mode according to claim 1 is apart from transfer curve scaling method, it is characterised in that
Determine that Transportation modes are carried out as follows apart from transfer curve expression formula in step 4：
It is determined that Transportation modes select probability under different transportation ranges；
According to Transportation modes select probability expression formula, using transportation range as independent variable, other significance variations are made even
Average, calculates Transportation modes select probability value under different transportation ranges；
It is determined that the multimode share rate-distance Curve based on transportation range；
According to transportation range and its corresponding select probability value, regression analyses fitting select probability-apart from transfer curve is taken,
Determine multi-transportation mode select probability-apart from transfer curve function.
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| CN109214577A (en) * | 2018-09-18 | 2019-01-15 | 交通运输部科学研究院 | A kind of composite transport channel percentage of passenger transport prediction technique |
| CN109558978A (en) * | 2018-11-26 | 2019-04-02 | 东南大学 | Regional traffic model split method based on trip distance |
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| CN110363358A (en) * | 2019-07-23 | 2019-10-22 | 马妍 | Public transportation mode share prediction technique based on multi-agent simulation |
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| CN110415508B (en) * | 2019-09-04 | 2021-07-06 | 广州市交通规划研究院 | Urban gravitation-based regional passenger traffic model construction method |
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| CN111143769A (en) * | 2019-12-09 | 2020-05-12 | 深圳市市政设计研究院有限公司 | Big data-based trip mode allocation rate prediction method and prediction device |
| CN111222703A (en) * | 2020-01-09 | 2020-06-02 | 五邑大学 | Method and device for predicting passenger travel mode |
| CN111222703B (en) * | 2020-01-09 | 2023-05-12 | 五邑大学 | Method and device for predicting travel mode of passengers |
| CN113902381B (en) * | 2021-10-28 | 2022-07-15 | 江南大学 | Intelligent selection method and system for unmanned vehicle cargo transportation mode |
| CN113902381A (en) * | 2021-10-28 | 2022-01-07 | 江南大学 | Intelligent selection method and system for unmanned vehicle cargo transportation mode |
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