CN110059861A - A kind of public bus network selection method and system considering crowding - Google Patents

A kind of public bus network selection method and system considering crowding Download PDF

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CN110059861A
CN110059861A CN201910222484.7A CN201910222484A CN110059861A CN 110059861 A CN110059861 A CN 110059861A CN 201910222484 A CN201910222484 A CN 201910222484A CN 110059861 A CN110059861 A CN 110059861A
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bus
crowding
trip
route
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孙超
蔡宇航
许慧玲
刘韬
王庆灏
蔡大宋
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Jiangsu University
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    • G06Q50/40—Business processes related to the transportation industry

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Abstract

The present invention provides a kind of public bus network selection methods and system for considering crowding, comprising: determines the website that bus passes through, calculates the interior crowding of the corresponding bus of each website；The personal information for determining user determines the trip information and bus trip route of user according to user's start position and final position；Calculate crowding in bus corresponding to every bus trip route；Using crowding, user information, trip information in bus corresponding to every bus trip route as independent variable, bus trip route is dependent variable, establishes the public bus network Probability Choice Model based on crowding；The parameter of estimated probability preference pattern；Calculate Probability Choice Model, obtain each travel route by select probability, determine optimal traffic path.The present invention solves the problems, such as whether passenger needs to reduce bus trip crowding by increase transfer, while saving travel time, travel cost for passenger, improves passenger's trip satisfaction.

Description

A kind of public bus network selection method and system considering crowding
Technical field
The present invention relates to traffic intelligent management domain more particularly to it is a kind of consider crowding public bus network selection method and System.
Background technique
With the sustainable growth of Chinese national economy and the fast development of urbanization process, city automobile ownership is substantially Degree increases, and leads to urban highway traffic disorder, congestion.Public transport carries the main passenger flow in city, the public affairs of high service level Traffic altogether is the important leverage of the development of urban society's economic heath, resident trip Quality advance, while being also to alleviate urban transportation The important means of congestion.
The degree of crowding is that the important indicator for evaluating bus trip service level and passenger take pubic transport most in bus Intuitive service experience.When taking very crowded bus, passenger will often find that other bus (lines travelled together Road is different) on there are also many vacant seats, have the part being much overlapped although being different public bus network, between route；Separately On the one hand, passenger takes certain crowded bus, and when driving to a half-distance, the discovery many buses in periphery have position, And these buses will also pass through the destination of the passenger, then whether this passenger, which needs to get off, is changed to these buses ? these practical problems leverage the service level of bus.
Although current can provide the crowded state in bus there are many APP in real time, there is no provide to gather around to passenger Optimal trip route under the situation of squeezing；Current APP only provides the optimal trip for the single factors such as the time is most short, transfer is minimum simultaneously Path, shortage comprehensively consider the influence of individual factor and trip factor to passenger's Path selection.
Summary of the invention
In response to the deficiencies in the existing technology, the present invention provides it is a kind of consider crowding public bus network selection method and System, solves the problems, such as whether passenger needs to reduce bus trip crowding by increasing transfer, when saving trip for passenger Between, travel cost while, improve passenger go on a journey satisfaction, and then promoted Level-of-Services of Public Transit.
The present invention achieves the above technical objects by the following technical means.
A kind of public bus network selection method considering crowding, comprising:
S1, the website that bus passes through is determined according to the vehicle positioning system of public transport, while being believed according to the passenger flow of bus Acquisition unit is ceased, get on the bus ridership and the ridership of getting off of each website is obtained, calculates the corresponding bus of each website Interior crowding；
S2, the personal information that user is determined according to the data in public bus network selection APP, according to user's start position and end Point position determines the trip information and bus trip route of user；
S3, based on the interior crowding in step S1, calculate crowded in bus corresponding to every bus trip route Degree；
S4, become with crowding, user information, trip information in bus corresponding to every bus trip route for oneself Amount, bus trip route are dependent variable, establish the public bus network Probability Choice Model based on crowding；
S5, the parameter that the Probability Choice Model is estimated with factual survey data；
S6, the parameter obtained according to step S5 calculate public bus network Probability Choice Model, obtain each travel route quilt of public transport Select probability, and determine optimal traffic path.
Preferably, the interior crowding calculation formula of the corresponding bus of each website is as follows in the step S01:
Wherein, ScurFor current passenger inside the vehicle's number；K passes through site number by bus；It is bus in site k Upper visitor's number；For bus site k lower objective number.
Preferably, in the step S3, the calculating step of crowding in bus corresponding to every bus trip route Specifically:
S31, all buses corresponding to every bus trip route are determined；
S32, each bus crowding in the bus of the start site on the bus trip route is calculated；
S33, crowding in all buses obtained in step S32 is averaged.
Preferably, the trip information in the step S2 includes journey time, stroke expense, transfer time and transfer expense With.
Preferably, the journey time is calculated according to the different travel route history average travel times and is obtained；The stroke Expense is calculated according to different travel route public transport fares and is obtained；The transfer time averagely changes to according to different travel route history Time, which calculates, to be obtained；The transfer expense is obtained according to different travel route Public Transport Transfer fare calculations.
Preferably, the personal information in the step S2 includes: gender, age, monthly income, trip purpose and takes weekly The number of public transport.
Preferably, the bus trip route Probability Choice Model in the step S4 is polynary Logit regression model, that is, is selected Select the probability P of bus trip route in(i) are as follows:
Wherein, UinThe Random utility of bus trip route i is selected for traveler n；UjnBus trip is selected for traveler n The Random utility of route j；ΩnFor alternative bus trip sets of lines；VinFor the determination sense of efficacy of bus trip route i Know；εinFor the Random utility error of bus trip route i；VjnDetermination sense of efficacy for bus trip route j is known；εjnFor public transport The Random utility error of travel route j；
Wherein, UinAnd UjnExpression formula are as follows:
Uin=Vin+εin=βi0+βi1xin1+βi2xin2+…+βi10xin10+εin
Ujn=Vjn+εjn=βj0+βj1xjn1+βj2xjn2+…+βj10xjn10+εjn
Wherein, xin1,xin2,…xin10Respectively traveler n is selected corresponding to every travel route of bus trip route i Bus in crowding, journey time, stroke expense, the transfer time, transfer expense, gender, the age, monthly income, trip mesh And take pubic transport value corresponding to number in week, βi1,βi2,…βi10Respectively its coefficient；βi0To select bus trip route i Intercept；xjn1,xjn2,…xjn10Respectively traveler n selects public transport corresponding to every travel route of bus trip route j Interior crowding, journey time, stroke expense, transfer time, transfer expense, gender, age, monthly income, trip purpose and week It takes pubic transport value corresponding to number, βj1,βj2,…βj10Respectively its coefficient；βj0For cutting for selection bus trip route j Away from.
Preferably, it is specifically included in the step S5:
S51, according to bus trip route choosing scheme and its influence factor design intention questionnaire；
S52, asked a question by network volume or/and volume of asking a question on the spot, acquire questionnaire data；
S53, invalid questionnaire is rejected, and questionnaire data is standardized；
S54, the Probability Choice Model parameter is estimated with maximum-likelihood method；
S55, significance test, the parameter of output estimation if complying with standard are carried out；Otherwise inapparent attribute is removed Variable goes to step S44.
A kind of public bus network selection system considering crowding, comprising:
Public transport reservation unit, the site information for determining bus current location and being passed through；
Passenger flow information acquisition unit, for acquiring and transmitting get on the bus passengers quantity and the passengers quantity of getting off of each website；
Database passes through website in passengers quantity up and down, each bus of each website for storing each bus Information and userspersonal information；
Server, when for calculating the stroke of crowding in each bus, travel route scheme, every travel route Between, stroke expense, transfer time, transfer expense and optimal trip route；
Public bus network selects APP, believes for obtaining userspersonal information, and according to the starting point confidence and terminal of user's input Breath shows various travel routes, the value of utility of every travel route and optimal travel route；
Wherein the public transport reservation unit, the passenger flow information acquisition unit, the server and public bus network choosing It selects APP to connect with the database, the server is connect with public bus network selection APP.
Beneficial effects of the present invention:
The present invention comprehensively utilizes passenger personal attribute and trip attribute to determine the influence factor of bus trip, analyzes Bus trip selection scheme be more in line with actual state；In addition, on the basis of considering crowding in bus, with reality Questionnaire parameter calibration method and Discrete Choice Model are the optimal trip public bus network of passenger's decision, improve passenger's trip satisfaction, And then promote Level-of-Services of Public Transit.
Detailed description of the invention
Fig. 1 is the flow chart according to a kind of public bus network selection method of consideration crowding of the embodiment of the present invention.
Fig. 2 is to select system structure diagram according to a kind of public bus network of consideration passenger crowding of the embodiment of the present invention.
Specific embodiment
Present invention will be further explained with reference to the attached drawings and specific examples, but protection scope of the present invention is simultaneously It is without being limited thereto.
Referring to Fig. 1, a kind of public bus network selection method for considering crowding according to an embodiment of the present invention, comprising:
Step S1, the website of bus process is determined according to the vehicle positioning system of public transport, while according to the visitor of bus Stream information acquisition unit obtains get on the bus ridership and the ridership of getting off of each website, calculates the corresponding public transport of each website The interior crowding of vehicle；
The interior crowding calculation formula of the corresponding bus of each website is as follows:
Wherein, ScurFor current passenger inside the vehicle's number；K passes through site number by bus；It is bus in site k Objective number；For bus under site k objective number.
Crowding is divided into three grades in bus: it is comfortable, that is, there is seating state；Generally, i.e., without seat but interior space It is more spacious；It is crowded, i.e., without being got together between seat and standee.
Step S2, the personal information that user is determined according to the data in public bus network selection APP, according to user's start position The trip information and bus trip route of user are determined with final position；
Trip information includes journey time, stroke expense, transfer time and transfer expense, and the journey time is according to difference The travel route history average travel time, which calculates, to be obtained；The stroke expense is obtained according to the calculating of different travel route public transport fares ?；The transfer time according to different travel route history be averaged the transfer time calculate obtain；The transfer expense is according to difference Travel route Public Transport Transfer fare calculation obtains.
Personal information includes gender, age, monthly income, trip purpose and the number taken pubic transport weekly.
Userspersonal information and trip information influence the optimizing paths of user, for example, old man year is more willing to More times are spent to go to take the bus for having seat；If changed to, the costly or transfer time is long, and user is more willing to endure vehicle Interior crowded state and be unwilling to improve ride comfort by changing to.
Step S3, it based on the interior crowding in step S1, calculates in bus corresponding to every bus trip route Crowding；
Crowding is that all buses are rising in this travel route in bus corresponding to every bus trip route The average value of the interior crowding of the bus of initial station point, for example, having a trip route in this travel route is 1 Road change to 2 tunnels, then in this public bus network No. 1 bus interior crowding are as follows: No. 1 bus in this travel route Interior crowding in its start site, the interior crowding of No. 2 buses are as follows: No. 2 buses exist in this travel route The interior crowding of its start site, that is, passenger's transfer website, then, in bus corresponding to this bus trip route Crowding is the average value of the interior crowding of No. 1 bus and the interior crowding of No. 2 buses.
Crowding can be divided into three grades in bus corresponding to every bus trip route: it is comfortable, that is, there is seat shape State；Generally, i.e., without seat but interior space it is more spacious；It is crowded, i.e., without being got together between seat and standee.
S4, become with crowding, user information, trip information in bus corresponding to every bus trip route for oneself Amount, bus trip route are dependent variable, establish the public bus network Probability Choice Model based on crowding；
Bus trip route Probability Choice Model Pn(i) are as follows:
Wherein, UinThe Random utility of bus trip route i is selected for traveler n；UjnBus trip is selected for traveler n The Random utility of route j；ΩnFor alternative bus trip sets of lines；VinFor the determination sense of efficacy of bus trip route i Know；εinFor the Random utility error of bus trip route i；VjnDetermination sense of efficacy for bus trip route j is known；εjnFor public transport The Random utility error of travel route j.
Wherein Random utility UinAnd UjnExpression formula are as follows:
Uin=Vin+εin=βi0+βi1xin1+βi2xin2+…+βi10xin10+εin
Ujn=Vjn+εjn=βj0+βj1xjn1+βj2xjn2+…+βj10xjn10+εjn
Wherein, xin1,xin2,…xin10Respectively traveler n is selected corresponding to every travel route of bus trip route i Bus in crowding, journey time, stroke expense, the transfer time, transfer expense, gender, the age, monthly income, trip mesh And take pubic transport value corresponding to number in week, βi1,βi2,…βi10Respectively its coefficient；βi0To select bus trip route i Intercept；xjn1,xjn2,…xjn10Respectively traveler n selects public transport corresponding to every travel route of bus trip route j Interior crowding, journey time, stroke expense, transfer time, transfer expense, gender, age, monthly income, trip purpose and week It takes pubic transport value corresponding to number, βj1,βj2,…βj10Respectively its coefficient；βj0For cutting for selection bus trip route j Away from.
S5, with the parameter of the Probability Choice Model in factual survey data estimating step S4；
Specifically:
S51, according to bus trip route choosing scheme and its influence factor design intention questionnaire；
S52, asked a question by network volume or/and volume of asking a question on the spot, acquire questionnaire data；
S53, invalid questionnaire is rejected, and questionnaire data is standardized；
S54, with maximum-likelihood method estimated probability preference pattern parameter；
S55, significance test, the parameter of output estimation if complying with standard are carried out；Otherwise inapparent attribute is removed Variable goes to step S44.
S6, the parameter obtained according to step S5 calculate public bus network Probability Choice Model, obtain each bus trip route quilt Select probability, wherein the maximum bus trip route of probability value is optimal traffic path.
A kind of public bus network selection method considering crowding according to an embodiment of the present invention, it is crowded to comprehensively consider public transport Degree, passenger's personal characteristics and the optimal bus trip path of trip characteristics decision, improve Level-of-Services of Public Transit.
A kind of concrete application of public bus network selection method considering crowding according to an embodiment of the present invention:
Table 1 gives the assortment of bus trip influence factor, wherein including model variable quantized value.Certain passenger is from family Commercial center is gone to, selects APP to inquire four bus trip routes by public bus network, path attribute is respectively as follows: public transport and goes out Row line 1: not changing to, and journey time is (to correspond to x in table 1 in 23 minutes1n2=3), stroke expense is 2 yuan of (x1n3=3)；Public transport goes out Row line 2: transfer is primary, and the transfer time is 3 minutes (x2n4=2), transfer expense is 0.5 yuan of (x2n5=2), journey time 24 Minute (x2n2=3), stroke expense is 2 yuan of (x2n3=3)；Bus trip route 3: transfer is primary, and the transfer time is 5 minutes (x3n4 =2), transfer expense is 0.5 yuan of (x3n5=2), journey time is 24 minutes (x3n2=3), stroke expense is 2 yuan of (x3n3=3)； Bus trip route 4: transfer is primary, and the transfer time is 4 minutes (x4n4=2), transfer expense is 0.5 yuan of (x4n5=2), when stroke Between be 25 minutes (x4n2=3), stroke expense is 2 yuan of (x4n3=3)；And passenger's monthly income is 8000 yuan or more.
1 model attributes factor meter of table
Be calculated according to step 1 and step 3: crowding is crowded (right in the corresponding bus of bus trip route 1 Answering and bearing crowding in table 1 is x1n1=3)；Crowding is generally (to gather around to should bear in bus before bus trip route 2 is changed to Degree is squeezed as 2), crowding is comfortable (being 1 to should bear crowding) in bus after transfer, therefore the bus trip route institute is right Crowding is x in the bus answered2n1=(2+1)/2=1.5；Crowding is one in the corresponding bus of bus trip route 3 As it is crowded (to should bear crowding be x3n1=2)；Crowding is very comfortable (to agreeing in the corresponding bus of bus trip route 4 It is x by crowding4n1=1).
It is drawn up a questionnaire according to table 1, obtains 431 parts of questionnaire altogether by the questionnaire survey of questionnaire star, wherein 428 parts of effective questionnaire. It is returned with Logit polynary in SPSS software and parameter Estimation is carried out to questionnaire data, table 2 is parameter estimation result.Wherein go on a journey Route 1 and 2 respectively do not change to and change in the case of result.
It is found according to significance test, in the case where not changing to (travel route 1 in table 2), changes to expense, gender, year Age, monthly income (8000 yuan or more), trip purpose, number and the intercept of taking pubic transport in week be not significant, i.e. β1,5=β1,6=β1,7= β1,8=β1,9=β1,10=β1,0=0, and crowding, journey time, stroke expense and transfer time have conspicuousness, coefficient Respectively β1,1=-1.894, β1,2=-5.391, β1,3=4.191, β1,4=3.395.It (goes on a journey in table 2 in the case where transfer Route 2), gender, age, monthly income (8000 or more), trip purpose and number of taking pubic transport in week be not significant, i.e. β2,6=β2,7 =β2,8=β2,9=β2,10=0, and intercept, crowding, journey time, stroke expense, transfer time and transfer expense are with aobvious Work property, coefficient is respectively β2,0=7.859, β2,1=-3.961, β2,2=-4.063, β2,3=3.519, β2,4=2.122, β2,5 =-1.104.
2 parameter estimation result of table
In four bus trip routes, first bus trip route is the case where transfer, and coefficient value goes out using in table 2 Row line 1；The case where its excess-three bus trip route is transfer, coefficient value is using travel route 2 in table 2.According to front Model variable value, the effectiveness for calculating four bus trip routes are respectively as follows:
V1n=β1,0+β1,1x1n1+β1,2x1n2+…+β1,10x1n10=-1.894*3-5.391*3+4.191*3=-9.282
V2n=β2,0+β2,1x2n1+β2,2x2n2+…+β2,10x2n10
=7.859-3.961*1.5-4.063*3+3.519*3+2.122*2-1.104*2=2.3215
V3n=β2,0+β2,1x3n1+β2,2x3n2+…+β2,10x3n10
=7.859-3.961*2-4.063*3+3.519*3+2.122*2-1.104*2=0.341
V4n=β2,0+β2,1x4n1+β2,2x4n2+…+β2,10x4n10
=7.859-3.961*1-4.063*3+3.519*3+2.122*2-1.104*2=4.302
Further, the probability of four trip routes is selected to be respectively as follows:
Therefore bus trip route 4 be optimal path provided by the invention, the path not only allow for trip characteristics and People's feature, it is also contemplated that crowded state in bus more meets the selection feature of the practical trip route of passenger.
A kind of public bus network selection system considering passenger's crowding according to an embodiment of the present invention includes public transport reservation list Member, passenger flow information acquisition unit, database, server and public bus network select APP.
Wherein, public transport reservation unit is used for the site information for determining bus current location and being passed through, and information is real When storage to Database Systems.
Passenger flow information acquisition unit is Vehicular video detector, for acquiring and transmitting the ridership of getting on the bus of each website It measures and gets off passengers quantity.
Database is used to store each bus in the passengers quantity up and down of each website, each bus by website letter Breath and userspersonal information；
Server be used to calculate crowding in each bus, travel route scheme, the journey time of every travel route, Stroke expense, transfer time, transfer expense and optimal trip route；
Public bus network selection APP believes for obtaining userspersonal information, and according to the starting point confidence and terminal of user's input Breath shows various travel routes, the value of utility of every travel route and optimal travel route；
Wherein the public transport reservation unit, the passenger flow information acquisition unit, the server and public bus network choosing It selects APP to connect with the database, the server is connect with public bus network selection APP.
The embodiment is a preferred embodiment of the present invention, but present invention is not limited to the embodiments described above, not In the case where substantive content of the invention, any conspicuous improvement that those skilled in the art can make, replacement Or modification all belongs to the scope of protection of the present invention.

Claims (9)

1. a kind of public bus network selection method for considering crowding characterized by comprising
S1, the website that bus passes through is determined according to the vehicle positioning system of public transport, while being adopted according to the passenger flow information of bus Collect unit, obtains get on the bus ridership and the ridership of getting off of each website, calculate the car of the corresponding bus of each website Crowding；
S2, the personal information that user is determined according to the data in public bus network selection APP, according to user's start position and terminal position Set the trip information and bus trip route of determining user；
S3, based on the interior crowding in step S1, calculate crowding in bus corresponding to every bus trip route；
S4, using crowding, user information, trip information in bus corresponding to every bus trip route as independent variable, it is public Surrendering row line is dependent variable, establishes the public bus network Probability Choice Model based on crowding；
S5, the parameter that the Probability Choice Model is estimated with factual survey data；
S6, the parameter obtained according to step S5, calculate the Probability Choice Model, obtain the general by selection of each bus trip route Rate, and determine optimal traffic path.
2. the public bus network selection method according to claim 1 for considering crowding, which is characterized in that the step S01 In the corresponding bus of each website interior crowding calculation formula it is as follows:
Wherein, ScurFor current passenger inside the vehicle's number；K passes through site number by bus；For bus site k upper visitor Number；For bus site k lower objective number.
3. the public bus network selection method according to claim 1 for considering crowding, which is characterized in that the step S3 In, the calculating step of crowding in bus corresponding to every bus trip route specifically:
S31, all buses corresponding to every bus trip route are determined；
S32, each bus crowding in the bus of the start site on the bus trip route is calculated；
S33, crowding in all buses obtained in step S32 is averaged.
4. the public bus network selection method according to claim 1 for considering crowding, which is characterized in that in the step S2 Trip information include journey time, stroke expense, the transfer time and transfer expense.
5. the public bus network selection method according to claim 4 for considering crowding, which is characterized in that the journey time It is calculated and is obtained according to the different travel route history average travel times；The stroke expense is according to different travel route public transport fares It calculates and obtains；The transfer time according to different travel route history be averaged the transfer time calculate obtain；The transfer expense root It is obtained according to different travel route Public Transport Transfer fare calculations.
6. the public bus network selection method according to claim 1 for considering crowding, which is characterized in that in the step S2 Personal information include: gender, age, monthly income, trip purpose and the number taken pubic transport weekly.
7. the public bus network selection method according to claim 1 for considering crowding, which is characterized in that in the step S4 Bus trip route Probability Choice Model be polynary Logit regression model, that is, select bus trip route i probability Pn(i) Are as follows:
Wherein, UinThe Random utility of bus trip route i is selected for traveler n；UjnBus trip route j is selected for traveler n Random utility；ΩnFor alternative bus trip sets of lines；VinDetermination sense of efficacy for bus trip route i is known；εinFor The Random utility error of bus trip route i；VjnDetermination sense of efficacy for bus trip route j is known；εjnFor bus trip route The Random utility error of j；
Wherein, UinAnd UjnExpression formula are as follows:
Uin=Vin+εin=βi0+βi1xin1+βi2xin2+…+βi10xin10+εin
Ujn=Vjn+εjn=βj0+βj1xjn1+βj2xjn2+…+βj10xjn10+εjn
Wherein, xin1,xin2,…xin10Respectively traveler n selects public affairs corresponding to every travel route of bus trip route i Hand over interior crowding, journey time, stroke expense, the transfer time, transfer expense, gender, the age, monthly income, trip purpose and It takes pubic transport in week value corresponding to number, βi1,βi2,…βii0Respectively its coefficient；βi0For cutting for selection bus trip route i Away from；xjn1,xjn2,…xjn10Respectively traveler n is selected in bus corresponding to every travel route of bus trip route j Crowding, journey time, stroke expense, transfer time, transfer expense, gender, age, monthly income, trip purpose and week seating Value corresponding to public transport number, βj1,βj2,…βj10Respectively its coefficient；βj0For the intercept for selecting bus trip route j.
8. the public bus network selection method according to claim 1 for considering crowding, which is characterized in that in the step S5 It specifically includes:
S51, according to bus trip route choosing scheme and its influence factor design intention questionnaire；
S52, asked a question by network volume or/and volume of asking a question on the spot, acquire questionnaire data；
S53, invalid questionnaire is rejected, and questionnaire data is standardized；
S54, the Probability Choice Model parameter is estimated with maximum-likelihood method；
S55, significance test, the parameter of output estimation if complying with standard are carried out；Otherwise inapparent attribute variable is removed, Go to step S44.
9. a kind of public bus network for considering crowding selects system characterized by comprising
Public transport reservation unit, the site information for determining bus current location and being passed through；
Passenger flow information acquisition unit, for acquiring and transmitting get on the bus passengers quantity and the passengers quantity of getting off of each website；
Database passes through site information in passengers quantity up and down, each bus of each website for storing each bus And userspersonal information；
Server, for calculating crowding in each bus, travel route scheme, the journey time of every travel route, row Journey expense, transfer time, transfer expense and optimal trip route；
Public bus network selects APP, for obtaining userspersonal information, and the starting point confidence and endpoint information inputted according to user, Show various travel routes, the value of utility of every travel route and optimal travel route；
Wherein the public transport reservation unit, the passenger flow information acquisition unit, the server and the public bus network select APP It is connect with the database, the server is connect with public bus network selection APP.
CN201910222484.7A 2019-03-22 2019-03-22 A kind of public bus network selection method and system considering crowding Pending CN110059861A (en)

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