CN106372776A - Vehicle scheduling system and method for unattended rental points in electric vehicle rental industry - Google Patents
Vehicle scheduling system and method for unattended rental points in electric vehicle rental industry Download PDFInfo
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- CN106372776A CN106372776A CN201610697911.3A CN201610697911A CN106372776A CN 106372776 A CN106372776 A CN 106372776A CN 201610697911 A CN201610697911 A CN 201610697911A CN 106372776 A CN106372776 A CN 106372776A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
Abstract
The invention discloses a vehicle scheduling system and method for unattended rental points in electric vehicle rental industry, and relates to the technical field of vehicle rental. The system comprises a plurality of rental points, a real-time monitoring center, a scheduling center point and a scheduler, wherein the real-time monitoring center monitors geographic positions, parking spaces and vehicle data of the rental points in real time; and the scheduling center point sends a vehicle-getting or vehicle-returning command to the scheduler according to the data monitored by the real-time monitoring center. The real-time monitoring center monitors the geographic positions, the parking spaces and the vehicle data of the rental points in real time first to determine the scheduling center point, then the close rental points are allocated to the scheduling center point in a clustering form, and the scheduling center point is in charge of performing vehicle scheduling management of the surrounding rental points through the scheduler. According to the system and the method, the problem of unbalanced vehicle resources rented by different rental points is solved, the data sharing is realized, and vehicles of all the rental points can be reasonably scheduled, so that the resource waste is reduced.
Description
Technical field:
The present invention relates to automobile leasing technical field, specifically electric automobile rental service unmanned lease point vehicle are adjusted
Degree system and method.
Background technology:
It is all mutually to fight separately between the lease point of existing automobile leasing top gem of a girdle-pendant industry, each lease point is frequent during operation
The situation that generation vehicle is not enough and lease point parking is excessive, the different lease point unbalanced problems of rented vehicle resources are difficult to solve
Certainly, each lease point is also difficult to accurately grasp the data of other lease point real-time vehicles and parking stall, the car between each lease point
And the resource such as parking stall quantity do not enable to share, therefore can cause the waste of resource, all can make for hiring out business, user etc.
Become adverse effect.
Content of the invention:
The technical problem to be solved is to provide a kind of solution different lease rented vehicle resources of point unbalanced
Problem it is ensured that the vehicle of all leases point can reasonably be dispatched, thus reducing the electric automobile lease row of the wasting of resources
Industry unmanned lease point vehicle dispatch system and its method.
The technical problem to be solved employs the following technical solutions to realize:
Electric automobile rental service unmanned lease point vehicle dispatch system it is characterised in that: include lease point, in real time
Surveillance center, control centre's point and dispatcher, described lease point is provided with several, and described monitor in real time center is real-time
The geographical position of monitoring lease point, parking stall and vehicle data, described control centre's point is according to monitor in real time center monitoring
Data assigns, to dispatcher, the order picked up the car or return the car.
The dispatching method of electric automobile rental service unmanned lease point vehicle dispatch system it is characterised in that: first lead to
Geographical position, parking stall and the vehicle data of crossing monitor in real time center monitoring lease point determine control centre's point, in then dispatching
Heart point will close on lease point by the form of sub-clustering and incorporate control centre's point into, be responsible for carrying out by dispatcher by control centre's point
The Vehicle Dispatch Administration of periphery lease point.
The dispatching method of electric automobile rental service unmanned lease point vehicle dispatch system, its feature specifically include with
Lower step,
1) algorithm model:
For the region distribution of control centre's point, clustered to first lease point, lease is pressed range from being divided into not
Same cluster, mutually isolated between each cluster, carry out freely dispatching of vehicle inside cluster, each Cu Youyige control centre point, adjust
The vehicle number of degree central point and parking stall number lease points higher than other in cluster
2) data prepares:
Collect geographical position, parking stall and the parking quantity data message of each lease point
Set up user to be returned the car data base with car, real time record user is returned the car lease point information with car
Determine control centre's point: choose lease point parking stall and stopped vehicle number is most, and this lease point can conveniently reach
Periphery close on lease point, this lease point is set to control centre's point
Determination scheduling scope: the number of the number and current city all leases point according to control centre's point calculates the individual of cluster
Number and scheduling scope；
Calculate the operating range between each lease point in control centre and cluster；
Set up weekend user at ordinary times and use car data model: build user's vehicle model, determine and use with the user at weekend at ordinary times
Car is accustomed to, and is scheduling predicting according to car custom；
3) timing scan respectively leases operation state a little:
A little available vehicle and idle parking stall number are respectively leased by system real-time query
Inquiry user hires a car confirmation slip: user passes through the vehicle that confirmation slip preengages lease point in advance
Inquiry user travels destination: according to the parking stall situation travelling duration and destination's prediction purpose lease point
4) vehicle scheduling
A. determine and extremely lease point:
A) lease point can be rented vehicle number and be less than the threshold value setting
B) lease point parks cars number more than the threshold value setting
B. pay the utmost attention to the allotment between the lease point of different Exception Types, coupling priority is as follows:
(1) between with cluster
(2) meet certain distance to constrain between different cluster
No matter a above, b will calculate matching degree abs_match-degree between pairing, select max under same type
(abs_match-degree) point corresponding to
C. introduce operation normal point and coordinate abnormity point entrance normal condition, point following two situations:
(1) abnormity point is control centre's point, is available for programs
With operation ability current in cluster point the strongest
Meet other control centre's points of distance constraints
Each candidate pairing calculates matching degree (match-degree), selects max in a, all Candidate Sets of b
(match-degree) point corresponding to
(2) abnormity point is general point, is available for programs, and priority is as follows:
The point operation of a current cluster control centre is normal, selection scheduling central point
With in cluster, other run normal point
Meet other operation normal control centre points of distance restraint
As above situation calculates matching degree (match-degree), selects optimum in all Candidate Sets
If all come to nothing, the optimum point being scheduled for of global search
D. refresh data after the completion of step c, repeat step a.
The number of members maximum of described cluster is restricted, and control centre point cluster member distribution requires load balancing, cluster
Shi Buneng considers merely control centre's point distance restraint, maximum point quantity in the cluster that needs restraint.
This scheduling strategy, lease is pressed range from being divided into different clusters.Mutually isolated between each cluster, carry out inside cluster
Freely the dispatching of vehicle.Each cluster has other rents that a central point, the vehicle number of central point and parking stall number are higher than in cluster
Rent a little, so that it is guaranteed that vehicle can be dispatched in time, in cluster, other lease point.
User passes through lease and the use of lease click-through driving, because lease point is dispersed in different places, each lease
Excessive situation that point often occurs vehicle not enough during operation and lease point stops, is at this moment accomplished by vehicle scheduling person artificial
Intervening makes operation state tend to normal.But manually cannot be carried out the operation state monitor in real time of vehicle, need to divide by data
Realizing, vehicle dispatch system is also to produce under this background for analysis technology and dispatching algorithm.
For the region distribution of central point, consider first to be clustered to lease point, but need to meet following constraint:
Central point is dispersed in different clusters
Between cluster, member's physical distance is little as far as possible
Cluster number of members maximum is restricted (can be an elasticity number, can manage more than hinge type central point car and parking stall
More members；Some central point parking stalls are originally few, and what the member of distribution should be suitable is few)
Allocation strategy has a following requirement:
Stability, unless central point changes or newly adds lease point to be possible to lead to the clustering cluster mark of cluster element
Label change.
Central point cluster member distribution requires load balancing, and 60% point is close from railway station, but these points are from others
Some central points are also not far, can not consider distance restraint merely during cluster, maximum point quantity in the cluster that needs restraint.
1. the concept of control centre's point is proposed: the vehicle thrown in control centre's point and parking stall will be more than the general of periphery
Logical lease point
2. lease is pressed apart from sub-clustering: in Operating cities, lease is a lot (up to up to a hundred or even hundreds of), first
Operational area is met following requirement according to lease dot spacing from carrying out coalescence: central point is dispersed in different clusters, member in cluster
Physical distance is little as far as possible, and between cluster, distance is big as far as possible, and cluster number of members maximum is restricted
3. using the cluster aggregating algorithm of electronic dynamic distance constraint: this algorithm can ensure that member's stability and center between cluster
Point cluster member distribution load balancing
4. monitor in real time vehicle-state: Real-time Alarm and push operation plan to dispatcher and (contain when lease point operation is abnormal
Lease point, the scheduling information such as quantity and Route Scheduling)
5. adopt physical pathway as scheduling distance: calculating scheduling distance is (not to be simple longitude and latitude using path planning
Degree range formula)
6. vehicle resources configuration optimization: periodic analysises historical data and adjust and optimize each lease point vehicle resources join
Put
The invention has the beneficial effects as follows: the present invention solves the different lease point unbalanced problems of rented vehicle resources, realizes
Data sharing is it is ensured that the vehicle of all leases point can reasonably be dispatched, thus reducing the wasting of resources.
Brief description:
Fig. 1 is present system schematic diagram.
Fig. 2 is embodiment of the present invention lease point and key store's distribution schematic diagram.
Specific embodiment:
In order that technological means, creation characteristic, reached purpose and effect that the present invention realizes are easy to understand, tie below
Conjunction is specifically illustrating, and the present invention is expanded on further.
As shown in figure 1, electric automobile rental service unmanned lease point vehicle dispatch system, including lease point, in real time
Surveillance center, control centre's point and dispatcher, lease point is provided with several, such as lease point a, lease point b and lease point c,
The geographical position of monitor in real time center monitor in real time lease point, parking stall and vehicle data, control centre's point is according to monitor in real time
The data of center monitoring assigns, to dispatcher, the order picked up the car or return the car.
The dispatching method of electric automobile rental service unmanned lease point vehicle dispatch system it is characterised in that: first lead to
Geographical position, parking stall and the vehicle data of crossing monitor in real time center monitoring lease point determine control centre's point, in then dispatching
Heart point will close on lease point by the form of sub-clustering and incorporate control centre's point into, be responsible for carrying out by dispatcher by control centre's point
The Vehicle Dispatch Administration of periphery lease point.
The dispatching method of electric automobile rental service unmanned lease point vehicle dispatch system, its feature specifically include with
Lower step,
1) algorithm model:
For the region distribution of control centre's point, clustered to first lease point, lease is pressed range from being divided into not
Same cluster, mutually isolated between each cluster, carry out freely dispatching of vehicle inside cluster, each Cu Youyige control centre point, adjust
The vehicle number of degree central point and parking stall number lease points higher than other in cluster
2) data prepares:
Collect geographical position, parking stall and the parking quantity data message of each lease point
Set up user to be returned the car data base with car, real time record user is returned the car lease point information with car
Determine control centre's point: choose lease point parking stall and stopped vehicle number is most, and this lease point can conveniently reach
Periphery close on lease point, this lease point is set to control centre's point
Determination scheduling scope: the number of the number and current city all leases point according to control centre's point calculates the individual of cluster
Number and scheduling scope；
Calculate the operating range between each lease point in control centre and cluster；
Set up weekend user at ordinary times and use car data model: build user's vehicle model, determine and use with the user at weekend at ordinary times
Car is accustomed to, and is scheduling predicting according to car custom；
3) timing scan respectively leases operation state a little:
A little available vehicle and idle parking stall number are respectively leased by system real-time query
Inquiry user hires a car confirmation slip: user passes through the vehicle that confirmation slip preengages lease point in advance
Inquiry user travels destination: according to the parking stall situation travelling duration and destination's prediction purpose lease point
4) vehicle scheduling
A. determine and extremely lease point:
A) lease point can be rented vehicle number and be less than the threshold value setting
B) lease point parks cars number more than the threshold value setting
B. pay the utmost attention to the allotment between the lease point of different Exception Types, coupling priority is as follows:
(1) between with cluster
(2) meet certain distance to constrain between different cluster
No matter a above, b will calculate matching degree abs_match-degree between pairing, select max under same type
(abs_match-degree) point corresponding to
C. introduce operation normal point and coordinate abnormity point entrance normal condition, point following two situations:
(1) abnormity point is control centre's point, is available for programs
With operation ability current in cluster point the strongest
Meet other control centre's points of distance constraints
Each candidate pairing calculates matching degree (match-degree), selects max in a, all Candidate Sets of b
(match-degree) point corresponding to
(2) abnormity point is general point, is available for programs, and priority is as follows:
The point operation of a current cluster control centre is normal, selection scheduling central point
With in cluster, other run normal point
Meet other operation normal control centre points of distance restraint
As above situation calculates matching degree (match-degree), selects optimum in all Candidate Sets
If all come to nothing, the optimum point being scheduled for of global search
D. refresh data after the completion of step c, repeat step a.
If Fig. 2 is taking the operation lease point of Wuhu City as a example, Tu2Shi Wuhu City easily opens operation lease point scattergram of hiring a car, and indulges
Abscissa is distance, its acceptance of the bid+point (throwing in vehicle and parking stall many with respect to the point position of periphery), dispatcher they be called
" control centre's point ".Under normal circumstances, if control centre's point periphery has lease point operation state, (vehicle is not enough or stops extremely
Car is excessive) it is necessary to the operation that control centre's point coordinates them (is mended car to them or past control centre point is moved out to vacate
Parking stall).Dispatcher faces problems with:
1 >. how more reasonable to control centre point allocation manager region, integrated dispatch cost can be less.
2 >. cannot monitor in real time each lease point operation state.For certain time point t, dispatcher cannot be accurate
Learn that each lease how many car of point can use, how many parking stall is idle.
3 > if. certain lease point is abnormal, the control centre's point operation ability also approach to criticality belonging to it simultaneously, now
Should how allocation schedule task.
4 >. which region operation load weight, occur the abnormal probability of operation bigger, need key monitoring and disposal.
5 >. the scheduling quagmire that other interference factors cause is (as in Route Scheduling, barrier leads to candidate scheme more flexible, such as
What selects optimum or more excellent scheme)
The number of members maximum of cluster is restricted, and control centre point cluster member distribution requires load balancing, can not during cluster
Simple consideration control centre point distance restraint, maximum point quantity in the cluster that needs restraint.
Ultimate principle and principal character and the advantages of the present invention of the present invention have been shown and described above.The technology of the industry
, it should be appreciated that the present invention is not restricted to the described embodiments, the simply explanation described in above-described embodiment and description is originally for personnel
The principle of invention, without departing from the spirit and scope of the present invention, the present invention also has various changes and modifications, these changes
Change and improvement both falls within scope of the claimed invention.Claimed scope by appending claims and its
Equivalent thereof.
Claims (4)
1. electric automobile rental service unmanned lease point vehicle dispatch system it is characterised in that: include lease point, supervise in real time
Control center, control centre's point and dispatcher, described lease point is provided with several, and described monitor in real time center is supervised in real time
The geographical position of control lease point, parking stall and vehicle data, described control centre's point is according to the number of monitor in real time center monitoring
Assign the order picked up the car or return the car according to dispatcher.
2. the dispatching party of electric automobile rental service unmanned lease point vehicle dispatch system according to claim 1
Method it is characterised in that: first pass through the geographical position of monitor in real time center monitoring lease point, parking stall and vehicle data and determine scheduling
Central point, then control centre's point lease point will be closed on by the form of sub-clustering incorporate control centre's point into, led to by control centre's point
Cross dispatcher to be responsible for carrying out the Vehicle Dispatch Administration of periphery lease point.
3. the dispatching party of electric automobile rental service unmanned lease point vehicle dispatch system according to claim 1
Method it is characterised in that: specifically include following steps,
1) algorithm model:
For the region distribution of control centre's point, clustered to first lease point, range is pressed in lease different from being divided into
Cluster, mutually isolated between each cluster, carry out freely dispatching of vehicle inside cluster, each Cu Youyige control centre point, in scheduling
The vehicle number of heart point and parking stall number lease points higher than other in cluster
2) data prepares:
Collect geographical position, parking stall and the parking quantity data message of each lease point
Set up user to be returned the car data base with car, real time record user is returned the car lease point information with car
Determine control centre's point: choose lease point parking stall and stopped vehicle number is most, and this lease point can conveniently reach periphery
Close on lease point, this lease point is set to control centre's point
Determine scheduling scope: the number of number according to control centre's point and current city all leases point calculate cluster number and
Scheduling scope；
Calculate the operating range between each lease point in control centre and cluster；
Set up weekend user at ordinary times and use car data model: build user's vehicle model, determine and practised with car with the user at weekend at ordinary times
Used, it is scheduling predicting according to car custom；
3) timing scan respectively leases operation state a little:
A little available vehicle and idle parking stall number are respectively leased by system real-time query
Inquiry user hires a car confirmation slip: user passes through the vehicle that confirmation slip preengages lease point in advance
Inquiry user travels destination: according to the parking stall situation travelling duration and destination's prediction purpose lease point
4) vehicle scheduling
A. determine and extremely lease point:
A) lease point can be rented vehicle number and be less than the threshold value setting
B) lease point parks cars number more than the threshold value setting
B. pay the utmost attention to the allotment between the lease point of different Exception Types, coupling priority is as follows:
(1) between with cluster
(2) meet certain distance to constrain between different cluster
C. introduce operation normal point and coordinate abnormity point entrance normal condition, point following two situations:
(1) abnormity point is control centre's point, is available for programs
With operation ability current in cluster point the strongest
Meet other control centre's points of distance constraints
(2) abnormity point is general point, is available for programs, and priority is as follows:
The point operation of a current cluster control centre is normal, selection scheduling central point
With in cluster, other run normal point
Meet other operation normal control centre points of distance restraint
As above situation calculates matching degree, selects optimum in all Candidate Sets
If all come to nothing, the optimum point being scheduled for of global search
D. refresh data after the completion of step c, repeat step a.
4. the scheduling of the electric automobile rental service unmanned lease point vehicle dispatch system according to Claims 2 or 3
Method it is characterised in that: the number of members maximum of described cluster is restricted, and control centre point cluster member distribution requires load all
Weighing apparatus, can not consider merely control centre's point distance restraint, maximum point quantity in the cluster that needs restraint during cluster.
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