CN106203680A - A kind of public transit vehicle resource regulating method based on improved adaptive GA-IAGA - Google Patents

A kind of public transit vehicle resource regulating method based on improved adaptive GA-IAGA Download PDF

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CN106203680A
CN106203680A CN201610485265.4A CN201610485265A CN106203680A CN 106203680 A CN106203680 A CN 106203680A CN 201610485265 A CN201610485265 A CN 201610485265A CN 106203680 A CN106203680 A CN 106203680A
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胡华
诸明伟
高云峰
刘志钢
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Shanghai University of Engineering Science
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Abstract

The invention discloses a kind of public transit vehicle resource regulating method based on improved adaptive GA-IAGA, belong to urban rail transit technology field.During track and public transport emergency cooperative transport, a kind of Revised genetic algorithum is used to give public transit vehicle resource regulating method；The first step, definition chromosome coding rule, randomly generate initial population；Second step, given each public transport sends a car a little to send the largest loop transport number of times of vehicle；3rd step, calculates the fitness function value of chromosome；4th step, it is determined whether meet convergence criterion, is unsatisfactory for convergence, forwards the 5th step to, meets convergence, it is thus achieved that optimum public transit vehicle resource regulating method；5th step: perform to improve mutation operator, produce new chromosome, forward second step to.Random searching ability according to genetic algorithm can be quickly obtained the public transit vehicle resource regulating method of a total transport shortest time, has good convergence and robustness.

Description

A kind of public transit vehicle resource regulating method based on improved adaptive GA-IAGA
Technical field
The invention belongs to urban rail transit technology field, relate to a kind of public transit vehicle resource based on improved adaptive GA-IAGA Dispatching method.
Background technology
Growing along with urban track traffic, the raising of people's inherently safe consciousness, society is to rail transportation operation Requirement more and more higher.But, if track traffic once meets with accident, cause normal operation to be affected or interrupt Time, impact will be produced for the normal trip of urbanite.So, track traffic is occurred long period operation interrupt event Situation and for rail transportation operation occurs suddenly substantial amounts of gathering of people and cannot quickly transport event in the case of, meet an urgent need The consciousness of process problem and emergency processing program are requisite, contribute to reducing that track traffic accident brought is negative Face rings, and formulates, updates corresponding counter-measure and emergency preplan, has been extremely urgent task.
In Rail traffic network, accident has completely random, and rail transportation operation enterprise can be for all kinds of Emergency preplan is worked out in concrete accident.When occurring long period operation interrupt event (as interrupted operation in Metro Network More than 30min event), or in rail transportation operation certain website a large amount of gathering of people occurs suddenly and cannot quickly transport thing Part, it usually needs the method starting rail public transport linkage operation, correspondingly take " long-short route (track normal operation section)+ Public transport is short refutes (needing transport personnel's section in track) " Transportation Organization mode to maintain the basic clothes of urban public tranlport system Business level.
Summary of the invention
The present invention is directed to track operation occurs certain website in long interrupt event or rail transportation operation unexpected A large amount of gathering of people occurs and cannot quickly transport event, it is proposed that a kind of track and the method for public transport emergency cooperative transport, should Method uses a kind of Revised genetic algorithum to give public transit vehicle resource regulating method, according to the random search energy of genetic algorithm Power can be quickly obtained the public transit vehicle resource regulating method of a total transport shortest time, has good convergence and Shandong Rod.
A kind of public transit vehicle resource regulating method based on improved adaptive GA-IAGA, in track and public transport emergency cooperative transport During, use a kind of Revised genetic algorithum to give public transit vehicle resource regulating method；The first step, defines chromosome coding Rule, randomly generates initial population；Second step, given each public transport sends a car a little to send the largest loop transport number of times of vehicle；3rd Step, calculates the fitness function value of chromosome；4th step, it is determined whether meet convergence criterion, is unsatisfactory for convergence, forwards the 5th to Step, meets convergence, it is thus achieved that optimum public transit vehicle resource regulating method；5th step: perform to improve mutation operator, produces new dyeing Body, forwards second step to.
Described mutation operator, strategy is as follows:
A: when public transport sends a car a little also can to call vehicle and from sending a car a little toward when needing the traveling of station | L | of transport personnel Between less than when needing station | L | of transport personnel to the running time at appointment transport destination station, then send a car from public transport a little past Station | the L | needing transport personnel sends 1 car, and the Fleet size of public transit vehicle resource scheduling scheme increases by 1；
B: when all public transport send a car a little all not have to call vehicle and need station | S | of transport personnel at least to send out 2 Che Shi, from needing station | S | of transport personnel toward needing station | L | of transport personnel to send 1 car, public transit vehicle scheduling of resource The Fleet size of method is constant；
Wherein: the needs that running time that | L |, | S | are respectively in current bus resource regulating method is the longest, the shortest The station of transport personnel.
Described convergence criterion is to calculate fitness function value and the fitness function of last chromosome of current chromosome The rate of change of value, if rate of change is not 0, then for being unsatisfactory for convergence criterion, iteration optimization；Otherwise then for meeting convergence criterion, Stop iteration.
Described chromosome coding rule, is defined as follows: A represents the public transit vehicle resource regulating method that any one is random, Xj Send a car a little to send vehicle fleet, X for each public transportijSend a car a little to send vehicle number toward each station needing transport personnel for each public transport, Have send a car point, n of m public transport to need the station of transport personnel in public transport emergency cooperative feeder system, then the expression formula of A is
A = ( X 1 , ... , X j , ... , X m ; x 11 , ... , x i 1 , ... , x n 1 ; ... ; x 1 j , ... , x i j , ... , x n j ; ... ; x 1 m , ... , x i m , ... , x n m ) = ( | α 1 D 1 | , ... , | α j D j | , ... , | α m D m | ; | β 1 X 1 | , ... , | α 1 D 1 | - Σ i = 1 n - 1 | β i X 1 | ; ... ; | β n X 1 | , ... , | α m D m | - Σ i = 1 n - 1 | β i X m | )
Wherein βiAnd αjIt is all the random value in [0,1] interval, | | represent and round.
Beneficial effect
The present invention uses the chromosome coding rule of genetic algorithm to give a feasible public transit vehicle scheduling of resource side Method, by design improve mutation operator quickly obtain passenger's transport in a station respectively needing transport personnel the most in short-term Public transit vehicle resource regulating method corresponding between so that operation enterprise can occur during emergency processing track is runed in time Long-time interrupt event, in time in emergency processing rail transportation operation certain website a large amount of gathering of people occurs suddenly and cannot Quickly transport event, reduces because rail transportation operation interrupt event and other accident are negative with what society brought to traveler Face rings, and reduces the property loss caused because of rail transportation operation interrupt event and other accident as far as possible, and personnel hinder Die and the impact of operating time.
Accompanying drawing explanation
Fig. 1 is the improved adaptive GA-IAGA flow chart of the present invention；
Fig. 2 is the specific embodiment background schematic diagram of the present invention.
Wherein, in accompanying drawing 2Represent station of normally operating,Specify transport destination station,Need transport personnel Station.
Detailed description of the invention
Below in conjunction with specific embodiments and the drawings, the present invention is expanded on further.
The improved adaptive GA-IAGA flow chart of the present invention, as it is shown in figure 1, the first step, definition chromosome coding rule, produces at random Raw initial population；Chromosome coding rule, is defined as follows: A represents the public transit vehicle resource regulating method that any one is random, XjFor Each public transport sends a car a little to send vehicle fleet, XijSend a car a little to send vehicle number, public transport emergency cooperative toward each interruption station for each public transport Feeder system has m public transport send a car point, n interrupt station, then the expression formula of A is
A = ( X 1 , ... , X j , ... , X m ; x 11 , ... , x i 1 , ... , x n 1 ; ... ; x 1 j , ... , x i j , ... , x n j ; ... ; x 1 m , ... , x i m , ... , x n m ) = ( | α 1 D 1 | , ... , | α j D j | , ... , | α m D m | ; | β 1 X 1 | , ... , | α 1 D 1 | - Σ i = 1 n - 1 | β i X 1 | ; ... ; | β n X 1 | , ... , | α m D m | - Σ i = 1 n - 1 | β i X m | )
Wherein βiAnd αjIt is all the random value in [0,1] interval, | | represent and round.
Second step, given each public transport sends a car a little to send the largest loop transport number of times of vehicle.
3rd step, calculates the fitness function value of chromosome, needed for i.e. completing the whole passenger transport of needed transport station Total time.
4th step, it is determined whether meet convergence criterion；Calculate the fitness function value of current chromosome and last dyeing The rate of change of the fitness function value of body, if rate of change is not 0, then forwards the 5th step to；Otherwise, algorithmic statement, it is thus achieved that optimum Public transit vehicle resource regulating method, i.e. complete the public transport corresponding to the shortest time of needed transport station whole passenger transport Vehicle resources dispatching method.
5th step: perform to improve mutation operator, produce new chromosome, forward second step to；Improving mutation operator, strategy is such as Under:
A: when public transport sends a car a little also can to call vehicle and from sending a car a little toward when needing the traveling of station | L | of transport personnel Between less than when needing station | L | of transport personnel to the running time at appointment transport destination station, then send a car from public transport a little past Station | the L | needing transport personnel sends 1 car, and the Fleet size of public transit vehicle resource scheduling scheme increases by 1；
B: when all public transport send a car a little all not have to call vehicle and need station | S | of transport personnel at least to send out 2 Che Shi, from needing station | S | of transport personnel toward needing station | L | of transport personnel to send 1 car, public transit vehicle scheduling of resource The Fleet size of method is constant；
Wherein: the needs that running time that | L |, | S | are respectively in current bus resource regulating method is the longest, the shortest The station of transport personnel.
The specific embodiment of the present invention is as in figure 2 it is shown, owing to train delays causes Shanghai Rail Transit Line 9 suburbs Duan Song There is a large amount of passenger and be detained in river university city station and station, river rising in Ningxia and flowing into central Shaanxi, hole, normal operation plan and passenger safety to track traffic cause one Fixed impact, in order to reduce impact, Songjiang District transfers public transit vehicle and impacted passenger implements track and public transport emergency cooperative dredges The method of fortune, transport destination is She Shan station and new city station, Songjiang.
In the method for track and public transport emergency cooperative transport, the coding rule of genetic algorithm is used to give feasible public affairs Hand over vehicle resources dispatching method, public transport send a car a little 1 the maximum called vehicle number be 10, public transport send a car a little 2 the maximum called Vehicle number is 6, public transport send a car a little 3 the maximum called vehicle be 9, public transport is sent a car a m=3, needs the station n=of transport personnel 2, at α1=0.2, α2=0.1, α3=0.6, β1In the case of=0.5, the expression formula of public transit vehicle resource regulating method be (2, 0,5；1,1；0,0；2,3), the largest loop transport number of times of given public transit vehicle is 2, calculates the fitness function value of chromosome, Current station, Zhan Hedong river rising in Ningxia and flowing into central Shaanxi, Songjiang College Town completes passenger and is respectively necessary for transport total time 2 hours and 1.2 hours, therefore completes two Station passenger transport total time is 2 hours, performs to improve mutation operator, owing to public transport sends a car a little 1 also to call vehicle and public Hand over send a car a little 1 toward the running time at station, Songjiang College Town less than the traveling at station, Songjiang College Town to appointment transport destination station time Between, then from public transport send a car a little 1 send toward station, Songjiang College Town 1 car, the expression formula of public transit vehicle resource regulating method be (3,0, 5；2,1；0,0；2,3), improving under mutation operator, in the new public transit vehicle resource regulating method obtained station, Songjiang College Town and Station, river rising in Ningxia and flowing into central Shaanxi, hole completes passenger and is changed to transport total time 1.6 hours and 1.2 hours, when therefore completing two station passenger's transports total Between shorten to 1.6 hours.Loop iteration optimization successively, until the passenger at two stations can not shorten total transport time again, obtains Two public transit vehicle resource regulating methods corresponding to shortest time treating the whole passenger transport of transport station must be completed.

Claims (4)

1. a public transit vehicle resource regulating method based on improved adaptive GA-IAGA, it is characterised in that: meet an urgent need at track and public transport During linkage transport, a kind of Revised genetic algorithum is used to give public transit vehicle resource regulating method；The first step, definition Chromosome coding rule, randomly generates initial population；Second step, given each public transport sends a car a little to send the largest loop transport of vehicle Number of times；3rd step, calculates the fitness function value of chromosome；4th step, it is determined whether meet convergence criterion, is unsatisfactory for convergence, Forward the 5th step to, meet convergence, it is thus achieved that optimum public transit vehicle resource regulating method；5th step: perform to improve mutation operator, produce Tissue regeneration promoting chromosome, forwards second step to.
2. public transit vehicle resource regulating method based on improved adaptive GA-IAGA as claimed in claim 1, it is characterised in that: described Mutation operator, strategy is as follows:
A: when public transport sends a car a little also can to call vehicle and a little little toward the running time of station | the L | needing transport personnel from sending a car In needing station | L | of transport personnel to when specifying the running time at transport destination station, then send a car a little past needs from public transport Station | L | of transport personnel sends 1 car, and the Fleet size of public transit vehicle resource scheduling scheme increases by 1；
B: when all public transport send a car a little all not have to call vehicle and need station | S | of transport personnel at least to send out 2 cars, From needing station | S | of transport personnel toward needing station | L | of transport personnel to send 1 car, public transit vehicle resource regulating method Fleet size constant；
Wherein: what running time that | L |, | S | are respectively in current bus resource regulating method was the longest, the shortest needs transport The station of personnel.
3. public transit vehicle resource regulating method based on improved adaptive GA-IAGA as claimed in claim 1, it is characterised in that: described Convergence criterion is the rate of change of the fitness function value calculating current chromosome and the fitness function value of last chromosome, as Really rate of change is not 0, then for being unsatisfactory for convergence criterion, and iteration optimization；Otherwise then for meeting convergence criterion, stop iteration.
4. public transit vehicle resource regulating method based on improved adaptive GA-IAGA as claimed in claim 1, it is characterised in that: described Chromosome coding rule, is defined as follows: A represents the public transit vehicle resource regulating method that any one is random, XjSend a car for each public transport Point sends vehicle fleet, XijSend a car a little to send vehicle number, public transport emergency cooperative toward each station needing transport personnel for each public transport Have send a car point, n of m public transport to need the station of transport personnel in feeder system, then the expression formula of A is
A = ( X 1 , ... , X j , ... , X m ; x 11 , ... , x i 1 , ... , x n 1 ; ... ; x 1 j , ... , x i j , ... , x n j ; ... ; x 1 m , ... , x i m , ... , x n m ) = ( | α 1 D 1 | , ... , | α j D j | , ... , | α m D m | ; | | β i X 1 | , ... , | α 1 D 1 | - Σ i = 1 n - 1 | β i X 1 | ; ... ; | β n X 1 | , ... , | α m D m | - Σ i = 1 n - 1 | β i X m | )
Wherein βiAnd αjIt is all the random value in [0,1] interval, | | represent and round.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107688909A (en) * 2017-09-07 2018-02-13 上海振华重工(集团)股份有限公司 A kind of automatic yard dispatching method and system based on genetic algorithm
CN110991706A (en) * 2019-11-15 2020-04-10 上海电科智能***股份有限公司 Method for automatically compiling bus schedule and vehicle scheduling plan
CN111340289A (en) * 2020-02-25 2020-06-26 杭州电子科技大学 Genetic algorithm-based bus departure and speed adjustment optimization method and system
CN112132551A (en) * 2020-09-30 2020-12-25 西南交通大学 Urban rail transit emergency passenger flow cooperative distribution method
CN114518937A (en) * 2022-01-27 2022-05-20 广州鼎甲计算机科技有限公司 Virtual machine backup scheduling method, system, device and storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102185905A (en) * 2011-04-20 2011-09-14 浙江工业大学 WIFI-based bus-mounted data transmitting and dispatching method
CN104134105A (en) * 2014-08-18 2014-11-05 东南大学 Public-transit-network layout optimization method
CN105096011A (en) * 2015-09-11 2015-11-25 浙江中烟工业有限责任公司 Improved chromosome coding based logistic transportation and scheduling method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102185905A (en) * 2011-04-20 2011-09-14 浙江工业大学 WIFI-based bus-mounted data transmitting and dispatching method
CN104134105A (en) * 2014-08-18 2014-11-05 东南大学 Public-transit-network layout optimization method
CN105096011A (en) * 2015-09-11 2015-11-25 浙江中烟工业有限责任公司 Improved chromosome coding based logistic transportation and scheduling method

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107688909A (en) * 2017-09-07 2018-02-13 上海振华重工(集团)股份有限公司 A kind of automatic yard dispatching method and system based on genetic algorithm
CN110991706A (en) * 2019-11-15 2020-04-10 上海电科智能***股份有限公司 Method for automatically compiling bus schedule and vehicle scheduling plan
CN110991706B (en) * 2019-11-15 2023-05-05 上海电科智能***股份有限公司 Method for automatically compiling bus timetable and vehicle scheduling plan
CN111340289A (en) * 2020-02-25 2020-06-26 杭州电子科技大学 Genetic algorithm-based bus departure and speed adjustment optimization method and system
CN112132551A (en) * 2020-09-30 2020-12-25 西南交通大学 Urban rail transit emergency passenger flow cooperative distribution method
CN114518937A (en) * 2022-01-27 2022-05-20 广州鼎甲计算机科技有限公司 Virtual machine backup scheduling method, system, device and storage medium

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