CN108062855A - The method and system of peak time of using cars section vehicle scheduling - Google Patents
The method and system of peak time of using cars section vehicle scheduling Download PDFInfo
- Publication number
- CN108062855A CN108062855A CN201711365180.3A CN201711365180A CN108062855A CN 108062855 A CN108062855 A CN 108062855A CN 201711365180 A CN201711365180 A CN 201711365180A CN 108062855 A CN108062855 A CN 108062855A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- currently
- region
- vehicle region
- cars
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
- G08G1/205—Indicating the location of the monitored vehicles as destination, e.g. accidents, stolen, rental
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to vehicle dispatching technology fields, and in particular to the method and system of peak time of using cars section vehicle scheduling, the described method includes：According to it is each with vehicle region in historical data, quantity in stock and the predetermined amount of peak time of using cars section, judge whether each with vehicle region be peak vehicle region；If being currently peak vehicle region with vehicle region, according to the duration T1 of section of the current peak time of using cars and current scheduling duration T2 with needed for vehicle region, determine currently to be started to call in the startup time point of vehicle with vehicle region；Determine to call in section of current peak time of using cars to currently with the vehicle number of calling in vehicle region, and on startup between point corresponding vehicle is called in currently with vehicle region.The present invention disclosure satisfy that uses vehicle demand in the big region of peak time of using cars section vehicle demand.
Description
Technical field
The present invention relates to vehicle dispatching technology fields, and in particular to the peak time of using cars section vehicle scheduling method and be
System.
Background technology
Nowadays share vehicle to have popularized, be seen everywhere in life.Due to the difference in region, different regions,
Section in different times is also different to the demand for sharing vehicle, such as rush hour morning and evening on weekdays, near workspace
With vehicle demand just much larger than amusement shopping centre；And at day off, the demand with vehicle of commercial neighborhoods is entertained with regard to remote
Near workspace.Changeable demand causes huge difficulty to the scheduling for sharing vehicle.
In the prior art, different dispensing vehicles is typically carried out according to the property in each region, and injected volume is relatively solid
It is fixed so that can to meet and use vehicle demand in each period.But different zones have different use vehicle demands in different time sections,
So the same area can not possibly always be with the big region of vehicle demand.Particularly in peak time of using cars section, if simply
The vehicle in the region is launched in a conventional manner, then be easy to cause waste.Moreover, because it not necessarily can guarantee proprietary use
Vehicle, so for more and more people by the way of predetermined vehicle, the situation for so allowing for each subdispatch is more complicated now.
The content of the invention
The technical problem to be solved in the present invention is, overcomes the shortcomings of existing technology, provides peak time of using cars section vehicle
Scheduling method and system, disclosure satisfy that the big region of peak time of using cars section vehicle demand use vehicle demand.
To reach above-mentioned technical purpose, on the one hand, the method for peak time of using cars section vehicle scheduling provided by the invention, bag
It includes：
According to it is each with vehicle region in historical data, quantity in stock and the predetermined amount of peak time of using cars section, judge each use vehicle area
Whether domain is peak vehicle region；
If being currently peak vehicle region with vehicle region, according to the duration T1 of section of current peak time of using cars and current use
Scheduling duration T2 needed for vehicle region determines currently to be started to call in the startup time point of vehicle with vehicle region；
Determine to call in section of current peak time of using cars to currently with the vehicle number of calling in vehicle region, and on startup between
Point calls in corresponding vehicle to currently with vehicle region.
On the other hand, the system of peak time of using cars section vehicle scheduling provided by the invention, including：
Judging unit, for according to it is each with vehicle region the peak time of using cars section historical data, quantity in stock and predetermined amount,
Judge whether each with vehicle region be peak vehicle region；
Time quantum is determined, if for vehicle region being currently peak vehicle region, according to the current peak time of using cars
The duration T1 of the section and current scheduling duration T2 with needed for vehicle region, when determining currently to start to call in the startup of vehicle with vehicle region
Between point；
Scheduling unit is calculated, for determining to call in currently calling in vehicle with vehicle region in section of current peak time of using cars
Number, and on startup between point corresponding vehicle is called in currently with vehicle region.
In the present invention, first determine whether be currently peak vehicle area in section of current peak time of using cars with vehicle region
Domain, it is different with vehicle demand, i.e. it cannot be guaranteed that currently using vehicle region one because same in vehicle region in different times section
It is directly subordinate to peak vehicle region (the using vehicle region of high demand)；So being judged in advance, then vehicle is carried out with judging result
Scheduling will not cause the wasting of resources.Then according to the duration T1 of section of current peak time of using cars and the current tune with needed for vehicle region
Duration T2 is spent, determines currently to be started to call in the startup time point of vehicle with vehicle region.The startup time point dispatched buses is to consider
Cross what T1 and T2 was determined, the scheme for being effectively guaranteed scheduling is to meet the current situation with vehicle, is being suitble to vehicle
Time scheduling to currently with vehicle region, will not both make vehicle scheduling too early to current region, will not be too late.It is opened determining
It after dynamic time point, then determines the corresponding vehicle number (calling in vehicle number) that should be called in, can thus meet currently with vehicle region
Use vehicle demand.
Description of the drawings
It in order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention, for those of ordinary skill in the art, without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the method flow schematic diagram of the embodiment of the present invention；
Fig. 2 is the system structure diagram of the embodiment of the present invention；
Fig. 3 is the structure diagram of judging unit in the embodiment of the present invention；
Fig. 4 is the structure diagram that time quantum is determined in the embodiment of the present invention；
Fig. 5 is the structure diagram that scheduling unit is calculated in the embodiment of the present invention.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without making creative work
Embodiment belongs to the scope of protection of the invention.
As shown in Figure 1, the method for peak time of using cars section vehicle scheduling of the present invention, method include：
101st, according to it is each with vehicle region the peak time of using cars section historical data, quantity in stock and predetermined amount, judge each use
Whether vehicle region is peak vehicle region；
If with vehicle region being currently the 102, peak vehicle region, according to the duration T1 of section of current peak time of using cars and work as
The preceding scheduling duration T2 with needed for vehicle region determines currently to be started to call in the startup time point of vehicle with vehicle region；
103rd, determine to call in section of current peak time of using cars to currently with the vehicle number of calling in vehicle region, and starting
Time point calls in corresponding vehicle to currently with vehicle region.
Further,
Current historical data of the vehicle region in the peak time of using cars section, including：In current peak time of using cars segment call
It is currently needed to the current historical average with vehicle region vehicle fleet and in section of current peak time of using cars with vehicle region vehicle
The historical average for the amount of asking；
It is described according to it is each with vehicle region the peak time of using cars section historical data, quantity in stock and predetermined amount, judge each use
Whether vehicle region is peak vehicle region, is specifically included：
It obtains and is called in section of current peak time of using cars to current historical average Q1 with vehicle region vehicle number, current
Peak time of using cars section currently uses the historical average S, quantity in stock m and predetermined amount D with vehicle demand in vehicle region；
Calculate the evaluation coefficient δ for currently using vehicle region；
As δ >=1, judgement is currently peak vehicle region with vehicle region；
As 0≤δ ＜ 1, judge to be currently flat peak vehicle region with vehicle region；
As δ ＜ 0, judgement is currently ebb vehicle region with vehicle region；
It is described current to be with the evaluation coefficient δ calculation formula in vehicle region：
δ=(S+D-m)/Q1 (1)
Current it is with the evaluation coefficient δ calculation formula in vehicle region alternatively, described：
δ=(S-m)/Q1 (2)
It is described as δ >=1, judgement is currently peak vehicle region with vehicle region, is specifically included：
It is currently urgent peak vehicle region with vehicle region as δ >=2；
It is currently general peak vehicle region with vehicle region as 2 ＞ δ >=1.
Further,
The duration T1 and the current scheduling duration T2 with needed for vehicle region according to peak time of using cars section is determined current
Start to call in the startup time point of vehicle with vehicle region, specifically include：
If T2 ＞ T1, it is determined that the time point of (T2-T1) is currently to use vehicle before the start time point of peak time of using cars section
Region starts to call in the startup time point of vehicle；
If T2≤T1, it is determined that currently call in time point in peak time of using cars section with what vehicle region started to call in vehicle
After start time point, and the startup time point includes at least one；
When only existing a startup time point, determine that the startup time point is occurring currently with vehicle region quantity in stock m
Before when subtracting predetermined amount D equal to preset value K (K ＞ 0)；
When there is more than two startup time points, determine that being currently up time point is occurring currently with vehicle region quantity in stock
Before m is not plus corresponding reach when vehicle number n subtracts predetermined amount D equal to preset value K；
It is to be currently up having started to call in before time point currently using vehicle to be currently up the time point corresponding vehicle that do not reach
Region but the current vehicle for using vehicle region is not reached also.
Yet further,
It is described to determine to be called in section of current peak time of using cars to currently vehicle number is called in vehicle region, specifically wrap
It includes：
When T2 ＞ T1 or T2≤T1 and only exist one start time point when, determine uniquely start time point call in work as
Preceding total vehicle number with vehicle region；
As T2≤T1 and when there is more than two startup time points, determine to call in currently with vehicle area at each startup time point
The single vehicle number and total vehicle number in domain；
It is described on startup between point corresponding vehicle is called in currently with vehicle region, specifically including：
Away from currently at least one turnover stop is built in the preset range of vehicle region, on startup between point will be corresponding
The vehicle for calling in vehicle number is called in by turnover stop to currently with vehicle region；
And/or on startup between point the corresponding vehicle for calling in vehicle number by ebb called in vehicle region to current use
Vehicle region；
And/or on startup between point the corresponding vehicle for calling in vehicle number by flat peak called in vehicle region to current use
Vehicle region.
In the above-mentioned technical solutions,
When T2 ＞ T1 or T2≤T1 and only exist one start time point when,
Unique startup time point calls in the current total vehicle number Q for using vehicle region, by current in section of current peak time of using cars
It is determined with vehicle region with the historical average S, quantity in stock m and predetermined amount D of vehicle demand, determines that formula is：
Q≥S+D-m (3)
As T2≤T1 and when there is more than two startup time points,
Being currently up time point calls in the current single vehicle number Q ' for using vehicle region, by section of current peak time of using cars when
Long T1, current scheduling duration T2 with needed for vehicle region, in section of current peak time of using cars currently with the quantity in stock m in vehicle region,
It predetermined amount D and is currently up the time point corresponding vehicle number n that do not reach and determines, determine that formula is：
Q’T2/T1≥m+n-D (4)
Being currently up time point calls in the current total vehicle number Qn for using vehicle region, by current in section of current peak time of using cars
With the vehicle region historical average S of vehicle demand, quantity in stock m, predetermined amount D and to be currently up time point corresponding not
It reaches vehicle number n to determine, determines that formula is：
Qn≥S+D-m-n (5)
Vehicle fleet Q0 needed for the current turnover stop with vehicle region, by currently being used in section of current peak time of using cars
Vehicle region with the historical average S of vehicle demand, quantity in stock m, predetermined amount D, be currently up time point and corresponding do not reach vehicle
The quantity in stock L of number n and the turnover stop is determined, determines that formula is：
Q0≥S+D-m-n-δL (6)
Wherein, δ is currently to recall coefficient with the turnover stop in vehicle region, passes through the adjusting of δ so that dispatch and finish
Afterwards, currently appropriate vehicle still is retained with the turnover stop in vehicle region；
The ebb vehicle region recalled by vehicle is still ebb vehicle region or is flat peak vehicle region；By
The flat peak vehicle region that vehicle recalls is still flat peak vehicle region.
As shown in Fig. 2, the system of peak time of using cars section vehicle scheduling of the present invention, including：
Judging unit 21, in the historical data of peak time of using cars section, quantity in stock and being made a reservation for vehicle region according to each
Amount judges whether each with vehicle region be peak vehicle region；
Time quantum 22 is determined, if for vehicle region being currently peak vehicle region, during according to current peak vehicle
Between section duration T1 and the current scheduling duration T2 with needed for vehicle region, determine currently to be started to call in the startup of vehicle with vehicle region
Time point；
Scheduling unit 23 is calculated, for determining to call in currently calling in vehicle region in section of current peak time of using cars
Vehicle number, and on startup between point corresponding vehicle is called in currently with vehicle region.
Current historical data of the vehicle region in the peak time of using cars section, including：In current peak time of using cars segment call
It is currently needed to the current historical average with vehicle region vehicle fleet and in section of current peak time of using cars with vehicle region vehicle
The historical average for the amount of asking；
As shown in figure 3, as a kind of possible structure, the judging unit 21, including：
Acquisition module 211 is called in section of current peak time of using cars for obtaining to currently with vehicle region vehicle number
Historical average Q1, section of current peak time of using cars currently use the historical average S with vehicle demand, the quantity in stock m in vehicle region
With predetermined amount D；
Computing module 212, for calculating the current evaluation coefficient δ for using vehicle region；
Determination module 213, is used for：As δ >=1, judgement is currently peak vehicle region with vehicle region；As 0≤δ ＜ 1,
Judge to be currently flat peak vehicle region with vehicle region；As δ ＜ 0, judgement is currently ebb vehicle region with vehicle region；
It is described current to be with the evaluation coefficient δ calculation formula in vehicle region：
δ=(S+D-m)/Q1 (1)
Current it is with the evaluation coefficient δ calculation formula in vehicle region alternatively, described：
δ=(S-m)/Q1 (2)
The determination module, is specifically used for：It is currently urgent peak vehicle region with vehicle region as δ >=2；As 2 ＞ δ
It is currently general peak vehicle region with vehicle region when >=1.
As shown in figure 4, as a kind of possible structure, the definite time quantum 22, including：
First determining module 221, is used for：If T2 ＞ T1, it is determined that (T2- before the start time point of peak time of using cars section
T1 time point) is currently to be started to call in the startup time point of vehicle with vehicle region；
Second determining module 222, is used for：If T2≤T1, it is determined that currently started to call in when calling in of vehicle with vehicle region
Between point the peak time of using cars section start time point after, and it is described startup time point include at least one；
When only existing a startup time point, determine that the startup time point is occurring currently with vehicle region quantity in stock m
Before when subtracting predetermined amount D equal to preset value K (K ＞ 0)；
When there is more than two startup time points, determine that being currently up time point is occurring currently with vehicle region quantity in stock
Before m is not plus corresponding reach when vehicle number n subtracts predetermined amount D equal to preset value K；
It is to be currently up having started to call in before time point currently using vehicle to be currently up the time point corresponding vehicle that do not reach
Region but the current vehicle for using vehicle region is not reached also.
As shown in figure 5, as a kind of possible structure, the calculating scheduling unit 23, including：Computing module 231 and scheduling
Module 232；
As a kind of possible structure, the computing module 231, including：
First computational submodule, is used for：When T2 ＞ T1 or T2≤T1 and only exist one start time point when, determine
Unique startup time point calls in the current total vehicle number for using vehicle region；
Second computational submodule, is used for：As T2≤T1 and when there is more than two startup time points, determine in each startup
Time point calls in the current single vehicle number with vehicle region and total vehicle number；
As a kind of possible structure, the scheduler module 232, including：
First scheduling submodule, for away from currently with building at least one turnover stop in the preset range of vehicle region,
Point is called in the corresponding vehicle for calling in vehicle number to currently with vehicle region by turnover stop between on startup；
And/or the second scheduling submodule, the corresponding vehicle for calling in vehicle number is used by ebb for point between on startup
Vehicle region is called in currently with vehicle region；
And/or the 3rd scheduling submodule, the corresponding vehicle for calling in vehicle number is used by flat peak for point between on startup
Vehicle region is called in currently with vehicle region.
When T2 ＞ T1 or T2≤T1 and only exist one start time point when,
Unique startup time point calls in the current total vehicle number Q for using vehicle region, by current in section of current peak time of using cars
It is determined with vehicle region with the historical average S, quantity in stock m and predetermined amount D of vehicle demand, determines that formula is：
Q≥S+D-m (3)
As T2≤T1 and when there is more than two startup time points,
Being currently up time point calls in the current single vehicle number Q ' for using vehicle region, by section of current peak time of using cars when
Long T1, current scheduling duration T2 with needed for vehicle region, in section of current peak time of using cars currently with the quantity in stock m in vehicle region,
It predetermined amount D and is currently up the time point corresponding vehicle number n that do not reach and determines, determine that formula is：
Q’T2/T1≥m+n-D (4)
Being currently up time point calls in the current total vehicle number Qn for using vehicle region, by current in section of current peak time of using cars
With the vehicle region historical average S of vehicle demand, quantity in stock m, predetermined amount D and to be currently up time point corresponding not
It reaches vehicle number n to determine, determines that formula is：
Qn≥S+D-m-n (5)
Vehicle fleet Q0 needed for the current turnover stop with vehicle region, by currently being used in section of current peak time of using cars
Vehicle region with the historical average S of vehicle demand, quantity in stock m, predetermined amount D, be currently up time point and corresponding do not reach vehicle
The quantity in stock L of number n and the turnover stop is determined, determines that formula is：
Q0≥S+D-m-n-δL (6)
Wherein, δ is currently to recall coefficient with the turnover stop in vehicle region, passes through the adjusting of δ so that dispatch and finish
Afterwards, currently appropriate vehicle still is retained with the turnover stop in vehicle region；
The ebb vehicle region recalled by vehicle is still ebb vehicle region or is flat peak vehicle region；By
The flat peak vehicle region that vehicle recalls is still flat peak vehicle region.
Above-mentioned technical proposal of the embodiment of the present invention is described in detail below in conjunction with application example：
Assuming that current peak time of using cars section is current all a whole mornings 7:00~9:00, it is currently a-quadrant with vehicle region.
The first step judges whether a-quadrant is peak vehicle region：
According to big data, the a-quadrant on Monday morning 7 are obtained:00~9:It is called in 00 to the historical average Q1 of a-quadrant.
Choose continuous 30 all a whole mornings 7:00~9:00 conduct sampling duration, it is assumed that continuous 30 all a whole mornings 7:00~9:00
Interior, it is 3000 to call in the vehicle number of a-quadrant, then the historical average Q1 of a-quadrant is 100.Here call in a-quadrant
Vehicle is only referred to be dispatched to the vehicle of a-quadrant, is not given back including user to the vehicle of a-quadrant.
According to big data, the a-quadrant on Monday morning 7 are obtained:00~9:The historical average S with vehicle demand in 00.
Choose continuous 30 all a whole mornings 7:00~9:00 conduct sampling duration, in a manner of identical with above-mentioned averaging, acquires A
The region on Monday morning 7:00~9:The historical average S with vehicle demand in 00, it is assumed that be 100.Under normal conditions,
When asking with the historical average S of vehicle demand with calling in the historical average Q1 of a-quadrant, the sampling time Duan Weitong of selection
One period, so that S and Q1 pictures match, and are the data in contemporaneity.
According to big data, current all a whole mornings 7 are obtained:00~9:The predetermined amount D of 00 a-quadrant, it is assumed that current predetermined amount D
For 100.
Then, the on Monday morning 7 are counted:00~9:Before 00, the quantity in stock m of a-quadrant, i.e. a-quadrant may be provided in originally
The on Monday morning 7:00~9:The vehicle number of 00 this peak time of using cars section.Assuming that the quantity in stock m of current a-quadrant is 250.
Therefore, for current all a whole mornings 7:00~9:00, the evaluation coefficient δ of a-quadrant=1.5 ＞ 1, so judging A areas
Domain is peak vehicle region.
Evaluating coefficient δ calculation formula is：
δ=(S+D-m)/Q1 (1)
Criterion is：As δ >=1, judgement is currently peak vehicle region with vehicle region；
As 0≤δ ＜ 1, judge to be currently flat peak vehicle region with vehicle region；
As δ ＜ 0, judgement is currently ebb vehicle region with vehicle region.
Certainly, when whether judge current region be peak vehicle region, the predetermined amount of current region can not also be considered.That
, it is with the evaluation coefficient δ calculation formula in vehicle region currently：
δ=(S-m)/Q1 (2)
Peak vehicle region can also be divided into urgent peak vehicle region and general peak vehicle region.As δ >=2,
It is currently urgent peak vehicle region with vehicle region；It is currently general peak vehicle region with vehicle region as 2 ＞ δ >=1.Such as
Fruit is currently urgent peak vehicle region with vehicle region, then priority processing is needed currently to use the traffic control in vehicle region.
Calculation formula during judgement also has following form：
S+D-m≤0, judgement is currently ebb vehicle region with vehicle region；
S+D-m ＞ kQ1 judge to be currently peak vehicle region with vehicle region, k >=1；
S+D-m ＞ 0 judge to be currently flat peak vehicle region with vehicle region.
In current above-mentioned calculation formula, predetermined amount D can not also be considered.
Second step determines that a-quadrant starts to call in the startup time point of vehicle：
Determine that starting time point needs to discuss in two kinds of situation；Firstth, when the scheduling duration T2 of a-quadrant is small more than 2
When the duration T1 of section (current peak time of using cars), second, the scheduling duration T2 of a-quadrant is when being less than or equal to 2 hours.
If T2 ＞ 2h, scheduling time are long, it is necessary to carry out traffic control in advance.Assuming that T2=3h, then T2-T1=1h, A
Region is in current all a whole mornings 7:00~9:00 startup time point is exactly current all a whole mornings 6:00.From current all a whole mornings 6:
00 starts to call in the vehicle called in needed for a-quadrant to a-quadrant, so ensures that in current all a whole mornings 9:A before 00
Region calls in vehicle and can reach a-quadrant.
If T2≤2h, scheduling time is relatively short, can be scheduled work after section of current peak time of using cars starts
Required vehicle to avoid premature can thus be called in a-quadrant, avoid causing the wasting of resources by industry.Assuming that T2=1h, then open
Dynamic time point is in current all a whole mornings 7:After 00, and the startup time point may more than one.In this case, if only
When starting time point there are one, determine that the startup time point is occurring currently to subtract predetermined amount D etc. with vehicle region quantity in stock m
Before when preset value K (K ＞ 0)；If there is more than two startup time points, determine that being currently up time point is occurring currently
Before corresponding do not reach when vehicle number n subtracts predetermined amount D equal to preset value K being added with vehicle region quantity in stock m.Here the work of K
With being to ensure that before a-quadrant quantity in stock m runs out of, dispatching buses needed for a-quadrant can reach a-quadrant.It is currently up
Time point, the corresponding vehicle that do not reach was to be currently up having started the vehicle called in a-quadrant but do not reach a-quadrant also before time point
.
3rd step is determined in current all a whole mornings 7:00~9:It is called in 00 to a-quadrant and calls in vehicle number：
When T2 ＞ 2h or T2≤1h and only exist one start time point when, determine uniquely start time point call in A
Total vehicle number in region；Unique startup time point calls in total vehicle number Q of a-quadrant, is determined by S, m and D, determines that formula is：
Q≥S+D-m (3)
So to ensure Q >=150 in this case.
As T2≤2h and when there is more than two startup time points, determine to call in a-quadrant at each startup time point
Single vehicle number and total vehicle number；
Be currently up the single vehicle number Q ' that time point calls in a-quadrant, by m in T1, T2, section of current peak time of using cars,
D, n are determined, determine that formula is：
Q’T2/T1≥m+n-D (4)
Total vehicle number Qn that time point calls in a-quadrant is currently up, by S, m, D, n is determined, determines that formula is：
Qn≥S+D-m-n (5)
In this case, due to starting time point more than one, so should determine to call in total vehicle number of a-quadrant
Single vehicle number is also predefined.
4th step, on startup between point corresponding vehicle is called in a-quadrant：
In above step, it has been determined that when put and start to dispatch buses to a-quadrant, also determine call in it is more
Lack vehicle to a-quadrant, then this step discussion is that vehicle scheduling to a-quadrant wherefrom is divided into situations below：
Away from currently at least one turnover stop is built in the preset range of vehicle region, on startup between point will be corresponding
The vehicle for calling in vehicle number is called in by turnover stop to a-quadrant；The length of scheduling time determines the efficiency of scheduling, so one
As in the case of follow is to dispatch nearby, turnover stop is set around a-quadrant, you can to reduce scheduling duration, may be used also
So that a-quadrant deposits the vehicle failed to lay down and has local storage, this situation is suitble to the too small situation of peak vehicle region area.
And/or on startup between point the corresponding vehicle for calling in vehicle number by ebb called in vehicle region to current use
Vehicle region；
And/or on startup between point the corresponding vehicle for calling in vehicle number by flat peak called in vehicle region to current use
Vehicle region；
Certainly, the ebb vehicle region recalled by vehicle is still ebb vehicle region or is flat peak vehicle region；
The flat peak vehicle region recalled by vehicle is still flat peak vehicle region.That is, it cannot become high by recalling the region of vehicle
Peak vehicle region.
Vehicle fleet Q0 needed for the current turnover stop with vehicle region, by currently being used in section of current peak time of using cars
Vehicle region with the historical average S of vehicle demand, quantity in stock m, predetermined amount D, be currently up time point and corresponding do not reach vehicle
The quantity in stock L of number n and the turnover stop is determined, determines that formula is：
Q0≥S+D-m-n-δL (6)
δ is currently to recall coefficient with the turnover stop in vehicle region, passes through the adjusting of δ so that after scheduling, currently
Still there is appropriate vehicle to be retained with the turnover stop in vehicle region.
Each turnover stop can also be other low coverages in addition to having the function of currently to provide vehicle with vehicle region
From peak with vehicle region provide vehicle.Also, in the case where satisfaction provides vehicle for each peak with vehicle region, if also had
Remaining vehicle, then remaining vehicle can also be lent by user.
On the basis of said program, when call in vehicle number it is smaller when, i.e. the vehicle being adjusted to needed for peak vehicle region
When number is less, the efficiency of scheduling is higher.So in order to increase dispatching efficiency, each quantity in stock with vehicle region can be increased,
Dispatching efficiency can thus be increased.
However, just as described in said program, often there is a situation where that peak vehicle region area is too small.When the area
Domain call in vehicle it is more when, in addition the vehicle that region itself has been stored, the region may deposit and fail to lay down.In such case
Under, in addition to building and having enough to meet the need stop, parking systems can also be established on the area, that is, increases the storage vehicle in the region
Area.
The system that the embodiment of the present invention additionally provides the section vehicle scheduling of peak time of using cars can realize the side of above-mentioned offer
Method embodiment, concrete function realization refer to the explanation in embodiment of the method, and details are not described herein.
In the present invention, first determine whether be currently peak vehicle area in section of current peak time of using cars with vehicle region
Domain, it is different with vehicle demand, i.e. it cannot be guaranteed that currently using vehicle region one because same in vehicle region in different times section
It is directly subordinate to peak vehicle region (the using vehicle region of high demand)；So being judged in advance, then vehicle is carried out with judging result
Scheduling will not cause the wasting of resources.Then according to the duration T1 of section of current peak time of using cars and the current tune with needed for vehicle region
Duration T2 is spent, determines currently to be started to call in the startup time point of vehicle with vehicle region.The startup time point dispatched buses is to consider
Cross what T1 and T2 was determined, the scheme for being effectively guaranteed scheduling is to meet the current situation with vehicle, is being suitble to vehicle
Time scheduling to currently with vehicle region, will not both make vehicle scheduling too early to current region, will not be too late.In specific feelings
Under condition, multiple startup time points can be divided into so that dispatching efficiency higher reduces the current feelings accumulated with vehicle region vehicle to the greatest extent
Condition.It after startup time point is determined, then determines the corresponding vehicle number (calling in vehicle number) that should be called in, can thus meet
It is current to use vehicle demand with vehicle region.
It should be understood that the particular order or level of the step of during disclosed are the examples of illustrative methods.Based on setting
Count preference, it should be appreciated that in the process the step of particular order or level can be in the feelings for the protection domain for not departing from the disclosure
It is rearranged under condition.Appended claim to a method is not illustratively sequentially to give the element of various steps, and not
It is to be limited to the particular order or level.
In above-mentioned detailed description, various features are combined together in single embodiment, to simplify the disclosure.No
This open method should be construed to reflect such intention, i.e. the embodiment of theme claimed needs to compare
The more features of feature clearly stated in each claim.On the contrary, as appended claims is reflected
Like that, the present invention is in the state fewer than whole features of disclosed single embodiment.Therefore, appended claims
It is hereby expressly incorporated into detailed description, wherein each claim is alone as the individual preferred embodiment of the present invention.
Any technical staff in the art to be enable to realize or using the present invention, above to disclosed embodiment into
Description is gone.To those skilled in the art；The various modifications mode of these embodiments will be apparent from, and this
The General Principle of text definition can also be suitable for other embodiments on the basis of the spirit and scope of the disclosure is not departed from.
Therefore, the disclosure is not limited to embodiments set forth herein, but most wide with principle disclosed in the present application and novel features
Scope is consistent.
Described above includes the citing of one or more embodiments.Certainly, in order to above-described embodiment is described and description portion
The all possible combination of part or method is impossible, but it will be appreciated by one of ordinary skill in the art that each implementation
Example can do further combinations and permutations.Therefore, embodiment described herein is intended to cover fall into the appended claims
Protection domain in all such changes, modifications and variations.In addition, with regard to the term used in specification or claims
"comprising", the mode that covers of the word are similar to term " comprising ", just as " including, " solved in the claims as link word
As releasing.In addition, the use of any one term "or" in the specification of claims is to represent " non-exclusionism
Or ".
Those skilled in the art will also be appreciated that the various illustrative components, blocks that the embodiment of the present invention is listed
(illustrative logical block), unit and step can pass through the knot of electronic hardware, computer software, or both
Conjunction is realized.To clearly show that the replaceability of hardware and software (interchangeability), above-mentioned various explanations
Property component (illustrative components), unit and step universally describe their function.Such work(
Can be that specific application and the design requirement of whole system are depended on to realize by hardware or software.Those skilled in the art
Can be for each specific function of applying, the realization of various methods can be used described, but this realization is understood not to
Beyond the scope of protection of the embodiment of the present invention.
Various illustrative logical blocks or unit described in the embodiment of the present invention can by general processor,
Digital signal processor, application-specific integrated circuit (ASIC), field programmable gate array or other programmable logic devices, discrete gate
Or described function is realized or operated in transistor logic, the design of discrete hardware components or any of the above described combination.General place
It can be microprocessor, optionally, the general processor or any traditional processor, controller, microcontroller to manage device
Device or state machine.Processor can also be realized by the combination of computing device, such as digital signal processor and microprocessor,
Multi-microprocessor, one or more microprocessors combine a digital signal processor core or any other like configuration
To realize.
The step of method or algorithm described in the embodiment of the present invention can be directly embedded into hardware, processor perform it is soft
The combination of part module or the two.Software module can be stored in RAM memory, flash memory, ROM memory, EPROM storages
Other any form of storaging mediums in device, eeprom memory, register, hard disk, moveable magnetic disc, CD-ROM or this field
In.Illustratively, storaging medium can be connected with processor, so that processor can read information from storaging medium, and
It can be to storaging medium stored and written information.Optionally, storaging medium can also be integrated into processor.Processor and storaging medium can
To be arranged in ASIC, ASIC can be arranged in user terminal.Optionally, processor and storaging medium can also be arranged at use
In different components in the terminal of family.
In one or more illustrative designs, the described above-mentioned function of the embodiment of the present invention can be in hardware, soft
Part, firmware or any combination of this three are realized.If realized in software, these functions can store and computer-readable
It is transmitted on medium or with one or more instruction or code form on the medium of computer-readable.Computer readable medium includes electricity
Brain storaging medium and convenient for allow computer program to be transferred to from a place telecommunication media in other places.Storaging medium can be with
It is that any general or special computer can be with the useable medium of access.For example, such computer readable media can include but
It is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disc storage, disk storage or other magnetic storage devices or other
What can be used for carrying store to instruct or data structure and it is other can be by general or special computer or general or specially treated
The medium of the program code of device reading form.In addition, any connection can be properly termed computer readable medium, example
Such as, if software is to pass through a coaxial cable, fiber optic cables, double from a web-site, server or other remote resources
Twisted wire, Digital Subscriber Line (DSL) are defined with being also contained in for the wireless way for transmitting such as example infrared, wireless and microwave
In computer readable medium.The disk (disk) and disk (disc) include compress disk, radium-shine disk, CD, DVD, floppy disk
And Blu-ray Disc, disk is usually with magnetic duplication data, and disk usually carries out optical reproduction data with laser.Combinations of the above
It can also be included in computer readable medium.
Above-described specific embodiment has carried out the purpose of the present invention, technical solution and advantageous effect further
It is described in detail, it should be understood that the foregoing is merely the specific embodiments of the present invention, is not intended to limit the present invention
Protection domain, within the spirit and principles of the invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (10)
- A kind of 1. method of peak time of using cars section vehicle scheduling, which is characterized in that the described method includes：According to it is each with vehicle region peak time of using cars section historical data, quantity in stock and predetermined amount, judge each be with vehicle region No is peak vehicle region；If being currently peak vehicle region with vehicle region, vehicle area is used according to the duration T1 of section of current peak time of using cars and currently Scheduling duration T2 needed for domain determines currently to be started to call in the startup time point of vehicle with vehicle region；Determine to call in section of current peak time of using cars to currently with the vehicle number of calling in vehicle region, and on startup between put will Corresponding vehicle is called in currently with vehicle region.
- 2. the method for peak time of using cars section vehicle scheduling according to claim 1, which is characterized in thatCurrent historical data of the vehicle region in the peak time of using cars section, including：Extremely work as in current peak time of using cars segment call It is preceding currently to use vehicle demand with vehicle region with the historical average of vehicle region vehicle fleet and in section of current peak time of using cars Historical average；It is described according to it is each with vehicle region in historical data, quantity in stock and the predetermined amount of peak time of using cars section, judge each use vehicle area Whether domain is peak vehicle region, is specifically included：It obtains and is called in section of current peak time of using cars to the current historical average Q1 for using vehicle region vehicle number, current peak Time of using cars section currently uses the historical average S, quantity in stock m and predetermined amount D with vehicle demand in vehicle region；Calculate the evaluation coefficient δ for currently using vehicle region；As δ >=1, judgement is currently peak vehicle region with vehicle region；As 0≤δ ＜ 1, judge to be currently flat peak vehicle region with vehicle region；As δ ＜ 0, judgement is currently ebb vehicle region with vehicle region；It is described current to be with the evaluation coefficient δ calculation formula in vehicle region：δ=(S+D-m)/Q1 (1)Current it is with the evaluation coefficient δ calculation formula in vehicle region alternatively, described：δ=(S-m)/Q1 (2)It is described as δ >=1, judgement is currently peak vehicle region with vehicle region, is specifically included：It is currently urgent peak vehicle region with vehicle region as δ >=2；It is currently general peak vehicle region with vehicle region as 2 ＞ δ >=1.
- 3. the method for peak time of using cars section vehicle scheduling according to claim 2, which is characterized in that described according to peak The duration T1 and the current scheduling duration T2 with needed for vehicle region of time of using cars section determine currently to start to call in vehicle with vehicle region Startup time point, specifically include：If T2 ＞ T1, it is determined that the time point of (T2-T1) is currently with vehicle region before the start time point of peak time of using cars section Start to call in the startup time point of vehicle；If T2≤T1, it is determined that currently call in starting of the time point in peak time of using cars section with what vehicle region started to call in vehicle After time point, and the startup time point includes at least one；When only existing a startup time point, determine that the startup time point is occurring currently to be subtracted with vehicle region quantity in stock m Before when predetermined amount D is equal to preset value K (K ＞ 0)；When there is more than two startup time points, determine that being currently up time point is occurring currently with vehicle region quantity in stock m to be added It is upper it is corresponding do not reach when vehicle number n subtracts predetermined amount D equal to preset value K before；It is to be currently up having started to call in before time point currently with vehicle region to be currently up the time point corresponding vehicle that do not reach But the current vehicle for using vehicle region is not reached also.
- 4. the method for peak time of using cars section vehicle scheduling according to claim 3, which is characterized in thatIt is described to determine to call in currently vehicle number is called in vehicle region in section of current peak time of using cars, it specifically includes：When T2 ＞ T1 or T2≤T1 and only exist one start time point when, determine uniquely start time point call in current use Total vehicle number in vehicle region；As T2≤T1 and when there is more than two startup time points, determine to call at each startup time point currently with vehicle region Single vehicle number and total vehicle number；It is described on startup between point corresponding vehicle is called in currently with vehicle region, specifically including：Away from currently at least one turnover stop is built in the preset range of vehicle region, on startup between point called in corresponding The vehicle of vehicle number is called in by turnover stop to currently with vehicle region；And/or on startup between point the corresponding vehicle for calling in vehicle number is called in vehicle region to currently with vehicle area by ebb Domain；And/or on startup between point the corresponding vehicle for calling in vehicle number is called in vehicle region to currently with vehicle area by flat peak Domain.
- 5. the method for peak time of using cars section vehicle scheduling according to claim 4, which is characterized in thatWhen T2 ＞ T1 or T2≤T1 and only exist one start time point when,Unique startup time point calls in the current total vehicle number Q for using vehicle region, by currently using vehicle in section of current peak time of using cars Being determined with the historical average S, quantity in stock m and predetermined amount D of vehicle demand for region, determines that formula is：Q≥S+D-m (3)As T2≤T1 and when there is more than two startup time points,Being currently up time point calls in the current single vehicle number Q ' for using vehicle region, by the duration of section of current peak time of using cars T1, current scheduling duration T2 with needed for vehicle region, in section of current peak time of using cars currently with the quantity in stock m in vehicle region, pre- It quantifies D and is currently up the time point corresponding vehicle number n that do not reach and determine, determine that formula is：Q’T2/T1≥m+n-D (4)Being currently up time point calls in the current total vehicle number Qn for using vehicle region, by currently using vehicle in section of current peak time of using cars Region with the historical average S of vehicle demand, quantity in stock m, predetermined amount D and be currently up time point and corresponding do not reach Vehicle number n is determined, determines that formula is：Qn≥S+D-m-n (5)Vehicle fleet Q0 needed for the current turnover stop with vehicle region, by currently using vehicle area in section of current peak time of using cars Domain with the historical average S of vehicle demand, quantity in stock m, predetermined amount D, be currently up time point and corresponding do not reach vehicle number N, and the quantity in stock L of the turnover stop is determined, determines that formula is：Q0≥S+D-m-n-δL (6)Wherein, δ is currently to recall coefficient with the turnover stop in vehicle region；The ebb vehicle region recalled by vehicle is still ebb vehicle region or is flat peak vehicle region；By vehicle The flat peak vehicle region recalled is still flat peak vehicle region.
- 6. a kind of system of peak time of using cars section vehicle scheduling, which is characterized in that the system comprises：Judging unit, for according to it is each with vehicle region the peak time of using cars section historical data, quantity in stock and predetermined amount, judge Whether it is respectively peak vehicle region with vehicle region；Time quantum is determined, if for vehicle region being currently peak vehicle region, according to section of current peak time of using cars The duration T1 and current scheduling duration T2 with needed for vehicle region determines currently to be started to call in the startup time of vehicle with vehicle region Point；Scheduling unit is calculated, for determining to call in currently calling in vehicle with vehicle region in section of current peak time of using cars Number, and on startup between point corresponding vehicle is called in currently with vehicle region.
- 7. the system of peak time of using cars section vehicle scheduling according to claim 6, which is characterized in thatCurrent historical data of the vehicle region in the peak time of using cars section, including：Extremely work as in current peak time of using cars segment call It is preceding currently to use vehicle demand with vehicle region with the historical average of vehicle region vehicle fleet and in section of current peak time of using cars Historical average；The judging unit, including：Acquisition module is called in section of current peak time of using cars to being currently averaged with the history of vehicle region vehicle number for obtaining Number Q1, section of current peak time of using cars currently use the historical average S, quantity in stock m and predetermined amount with vehicle demand in vehicle region D；Computing module, for calculating the current evaluation coefficient δ for using vehicle region；Determination module is used for：As δ >=1, judgement is currently peak vehicle region with vehicle region；As 0≤δ ＜ 1, judge to work as It is preceding to use vehicle region as flat peak vehicle region；As δ ＜ 0, judgement is currently ebb vehicle region with vehicle region；It is described current to be with the evaluation coefficient δ calculation formula in vehicle region：δ=(S+D-m)/Q1 (1)Current it is with the evaluation coefficient δ calculation formula in vehicle region alternatively, described：δ=(S-m)/Q1 (2)The determination module, is specifically used for：It is currently urgent peak vehicle region with vehicle region as δ >=2；When 2 ＞ δ >=1 When, it is currently general peak vehicle region with vehicle region.
- 8. the system of peak time of using cars section vehicle scheduling according to claim 7, which is characterized in that the definite time Unit, including：First determining module, is used for：If T2 ＞ T1, it is determined that the peak time of using cars section start time point before (T2-T1) when Between point currently to be started to call in the startup time point of vehicle with vehicle region；Second determining module, is used for：If T2≤T1, it is determined that currently call in time point in height with what vehicle region started to call in vehicle After the start time point of peak time of using cars section, and the startup time point includes at least one；When only existing a startup time point, determine that the startup time point is occurring currently to be subtracted with vehicle region quantity in stock m Before when predetermined amount D is equal to preset value K (K ＞ 0)；When there is more than two startup time points, determine that being currently up time point is occurring currently with vehicle region quantity in stock m to be added It is upper it is corresponding do not reach when vehicle number n subtracts predetermined amount D equal to preset value K before；It is to be currently up having started to call in before time point currently with vehicle region to be currently up the time point corresponding vehicle that do not reach But the current vehicle for using vehicle region is not reached also.
- 9. the system of peak time of using cars section vehicle scheduling according to claim 7, which is characterized in thatThe calculating scheduling unit, including：Computing module and scheduler module；The computing module, including：First computational submodule, is used for：When T2 ＞ T1 or T2≤T1 and only exist one start time point when, determine unique Startup time point calls in the current total vehicle number for using vehicle region；Second computational submodule, is used for：As T2≤T1 and when there is more than two startup time points, determine in each startup time Point calls in the current single vehicle number with vehicle region and total vehicle number；The scheduler module, including：First scheduling submodule, for away from currently at least one turnover stop is built in the preset range of vehicle region, opening Dynamic time point is called in the corresponding vehicle for calling in vehicle number to currently with vehicle region by turnover stop；And/or the second scheduling submodule, for point between on startup by the corresponding vehicle for calling in vehicle number by ebb vehicle area Domain is called in currently with vehicle region；And/or the 3rd scheduling submodule, for point between on startup by the corresponding vehicle for calling in vehicle number by Ping Fengyongche areas Domain is called in currently with vehicle region.
- 10. the system of peak time of using cars section vehicle scheduling according to claim 9, which is characterized in thatWhen T2 ＞ T1 or T2≤T1 and only exist one start time point when,Unique startup time point calls in the current total vehicle number Q for using vehicle region, by currently using vehicle in section of current peak time of using cars Being determined with the historical average S, quantity in stock m and predetermined amount D of vehicle demand for region, determines that formula is：Q≥S+D-m (3)As T2≤T1 and when there is more than two startup time points,Being currently up time point calls in the current single vehicle number Q ' for using vehicle region, by the duration of section of current peak time of using cars T1, current scheduling duration T2 with needed for vehicle region, in section of current peak time of using cars currently with the quantity in stock m in vehicle region, pre- It quantifies D and is currently up the time point corresponding vehicle number n that do not reach and determine, determine that formula is：Q’T2/T1≥m+n-D (4)Being currently up time point calls in the current total vehicle number Qn for using vehicle region, by currently using vehicle in section of current peak time of using cars Region with the historical average S of vehicle demand, quantity in stock m, predetermined amount D and be currently up time point and corresponding do not reach Vehicle number n is determined, determines that formula is：Qn≥S+D-m-n (5)Vehicle fleet Q0 needed for the current turnover stop with vehicle region, by currently using vehicle area in section of current peak time of using cars Domain with the historical average S of vehicle demand, quantity in stock m, predetermined amount D, be currently up time point and corresponding do not reach vehicle number N, and the quantity in stock L of the turnover stop is determined, determines that formula is：Q0≥S+D-m-n-δL (6)Wherein, δ is currently to recall coefficient with the turnover stop in vehicle region；The ebb vehicle region recalled by vehicle is still ebb vehicle region or is flat peak vehicle region；By vehicle The flat peak vehicle region recalled is still flat peak vehicle region.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711365180.3A CN108062855B (en) | 2017-12-18 | 2017-12-18 | Method and system for dispatching vehicles in peak vehicle time period |
| CN201911374499.1A CN110930687B (en) | 2017-12-18 | 2017-12-18 | Method and system for dispatching vehicles in peak vehicle time period |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711365180.3A CN108062855B (en) | 2017-12-18 | 2017-12-18 | Method and system for dispatching vehicles in peak vehicle time period |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911374499.1A Division CN110930687B (en) | 2017-12-18 | 2017-12-18 | Method and system for dispatching vehicles in peak vehicle time period |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108062855A true CN108062855A (en) | 2018-05-22 |
| CN108062855B CN108062855B (en) | 2020-03-10 |
Family
ID=62139399
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911374499.1A Active CN110930687B (en) | 2017-12-18 | 2017-12-18 | Method and system for dispatching vehicles in peak vehicle time period |
| CN201711365180.3A Active CN108062855B (en) | 2017-12-18 | 2017-12-18 | Method and system for dispatching vehicles in peak vehicle time period |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911374499.1A Active CN110930687B (en) | 2017-12-18 | 2017-12-18 | Method and system for dispatching vehicles in peak vehicle time period |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN110930687B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110046719A (en) * | 2019-03-20 | 2019-07-23 | 北京物资学院 | A kind of bicycle method for diagnosing status and device |
| CN110796323A (en) * | 2018-08-03 | 2020-02-14 | 北京嘀嘀无限科技发展有限公司 | Vehicle scheduling method, device, terminal and computer readable storage medium |
| WO2021022972A1 (en) * | 2019-08-08 | 2021-02-11 | Ningbo Geely Automobile Research & Development Co., Ltd. | A method for preconditioning vehicles |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104540706A (en) * | 2012-02-13 | 2015-04-22 | 埃森哲环球服务有限公司 | Electric vehicle distributed intelligence |
| CN105426997A (en) * | 2015-11-18 | 2016-03-23 | 西南交通大学 | Intelligent dispatching and application management system of urban public bicycles and implementation method thereof |
| CN105551150A (en) * | 2016-02-03 | 2016-05-04 | 江西师范大学 | Internet and intelligent public bicycle traffic management system and reservation scheduling method |
| CN105719019A (en) * | 2016-01-21 | 2016-06-29 | 华南理工大学 | Public bicycle peak time demand prediction method considering user reservation data |
| CN106156866A (en) * | 2016-07-01 | 2016-11-23 | 宁波轩悦行电动汽车服务有限公司 | Hire a car control system and method in a kind of strange land |
| US20170051699A1 (en) * | 2015-08-19 | 2017-02-23 | General Electric Company | System and method for predicting peak pressure values using knock sensor |
| CN106875674A (en) * | 2017-04-14 | 2017-06-20 | 上海雷腾软件股份有限公司 | A kind of method and apparatus for vehicle scheduling |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103729724B (en) * | 2013-12-06 | 2017-02-08 | 浙江工业大学 | Natural-mixing scheduling method of public bike system |
| CN104574679B (en) * | 2014-10-11 | 2018-07-06 | 浙江致晟信息科技有限公司 | A kind of public scheduling for renting bicycle system and guidance method |
| CN106952414A (en) * | 2016-01-07 | 2017-07-14 | 覃鹏 | One kind is directed to peak period public bicycles lease point addressing layout method |
| CN105719083A (en) * | 2016-01-21 | 2016-06-29 | 华南理工大学 | Public bicycle peak time scheduling method based on multilevel partition |
| US10008121B2 (en) * | 2016-05-02 | 2018-06-26 | Conduent Business Services, Llc | Method and system for managing a dispatch of vehicles |
| CN106503869A (en) * | 2016-11-14 | 2017-03-15 | 东南大学 | A kind of public bicycles dynamic dispatching method that is predicted based on website short-term needs |
| CN107330586A (en) * | 2017-06-16 | 2017-11-07 | 东南大学 | A kind of public bicycles dynamic dispatching method based on improvement ant group algorithm |
-
2017
- 2017-12-18 CN CN201911374499.1A patent/CN110930687B/en active Active
- 2017-12-18 CN CN201711365180.3A patent/CN108062855B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104540706A (en) * | 2012-02-13 | 2015-04-22 | 埃森哲环球服务有限公司 | Electric vehicle distributed intelligence |
| US20170051699A1 (en) * | 2015-08-19 | 2017-02-23 | General Electric Company | System and method for predicting peak pressure values using knock sensor |
| CN105426997A (en) * | 2015-11-18 | 2016-03-23 | 西南交通大学 | Intelligent dispatching and application management system of urban public bicycles and implementation method thereof |
| CN105719019A (en) * | 2016-01-21 | 2016-06-29 | 华南理工大学 | Public bicycle peak time demand prediction method considering user reservation data |
| CN105551150A (en) * | 2016-02-03 | 2016-05-04 | 江西师范大学 | Internet and intelligent public bicycle traffic management system and reservation scheduling method |
| CN106156866A (en) * | 2016-07-01 | 2016-11-23 | 宁波轩悦行电动汽车服务有限公司 | Hire a car control system and method in a kind of strange land |
| CN106875674A (en) * | 2017-04-14 | 2017-06-20 | 上海雷腾软件股份有限公司 | A kind of method and apparatus for vehicle scheduling |
Non-Patent Citations (3)
| Title |
|---|
| 冯亮；梁工谦: "基于GPS/GIS协同的动态车辆调度和路径规划问题研究", 《计算机科学》 * |
| 王付宇；王涛；叶春明: "突发灾害事件情景下应急救援车辆调度问题综述", 《计算机应用研究》 * |
| 陶永虎 陈辉浩 杨壮: "基于时空分析的共享单车调度模型", 《中国战略新兴产业》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110796323A (en) * | 2018-08-03 | 2020-02-14 | 北京嘀嘀无限科技发展有限公司 | Vehicle scheduling method, device, terminal and computer readable storage medium |
| CN110046719A (en) * | 2019-03-20 | 2019-07-23 | 北京物资学院 | A kind of bicycle method for diagnosing status and device |
| WO2021022972A1 (en) * | 2019-08-08 | 2021-02-11 | Ningbo Geely Automobile Research & Development Co., Ltd. | A method for preconditioning vehicles |
| CN114025975A (en) * | 2019-08-08 | 2022-02-08 | 宁波吉利汽车研究开发有限公司 | Method for preparing a vehicle |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108062855B (en) | 2020-03-10 |
| CN110930687B (en) | 2020-12-25 |
| CN110930687A (en) | 2020-03-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108062855A (en) | The method and system of peak time of using cars section vehicle scheduling | |
| CN110429620B (en) | Regional power load balancing method | |
| CN103902333A (en) | Method for automatically unloading application of mobile terminal and mobile terminal | |
| JP6245563B2 (en) | Car sharing management device, car sharing management method, and program | |
| CN106502578B (en) | Capacity changes suggesting method and device | |
| CN105700663A (en) | Background program cleaning method and system for mobile terminal | |
| CN110351431A (en) | Sleep pattern setting method, user terminal and computer readable storage medium | |
| CN105303241A (en) | Bank counter reservation system and method based on WeChat | |
| US11648846B2 (en) | Methods and systems for facilitating charging sessions for electric vehicles | |
| EP2068515A1 (en) | Method and apparatus for controlling message traffic licence | |
| CN111385800A (en) | Carrier scheduling method and device for LTE capacity balance | |
| CN103678514A (en) | Business trend prediction method and system | |
| CN103078933A (en) | Method and device for determining data migration time | |
| CN109214872A (en) | Parking fee dynamic adjusting method, system, device and readable storage medium storing program for executing | |
| CN114333094A (en) | Vehicle scheduling method and device, terminal equipment and medium | |
| CN101370236A (en) | Method for triggering carrier frequency scheduling based on telephone traffic | |
| CN108205622A (en) | The authority control method and device of a kind of application program for mobile terminal | |
| CN109240763A (en) | Application program accelerates method, mobile terminal and the storage medium of starting | |
| CN110430529A (en) | A kind of method, apparatus that voice assistant is reminded | |
| CN106382036A (en) | Parking space management method and system and terminal | |
| CN115934303A (en) | Shared operation method and shared operation device | |
| WO2015117488A1 (en) | Adaptive data connection method and device | |
| CN104572484A (en) | Storage space distribution method, storage space distribution device and terminal | |
| CN107578135B (en) | Flexible charging system and management method and device thereof | |
| CN104716645B (en) | The power load control method and system of charging pile |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |