CN105608886A - Method and device for scheduling traffic tools - Google Patents
Method and device for scheduling traffic tools Download PDFInfo
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- CN105608886A CN105608886A CN201610046769.6A CN201610046769A CN105608886A CN 105608886 A CN105608886 A CN 105608886A CN 201610046769 A CN201610046769 A CN 201610046769A CN 105608886 A CN105608886 A CN 105608886A
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- 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
- G08G1/202—Dispatching vehicles on the basis of a location, e.g. taxi dispatching
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Abstract
The embodiments of the invention relates to a method and device for scheduling traffic tools. The method comprises the following steps: determining partition based on geological positions; obtaining a current demand quantity of the traffic tools related to the partition; determining an expected demand quantity of the traffic tools related to the partition; and based on the current demand quantity and the expected demand quantity, determining a scheduling amount. By using the method and device disclosed by embodiments of the invention, the utilization rate of the traffic tools can be improved.
Description
Technical field
Embodiment of the present disclosure relates in general to the field of the vehicles, relates more specifically to traffic workThe method and apparatus of the scheduling of tool.
Background technology
Often there is situation pockety in the vehicles such as taxi, need to enterRow is dispatched the raising of the utilization rate to realize the vehicles. But often the situation of appearance is,In the time that a certain amount of vehicles are dispatched to object region, the demand in object region occursChange, without these vehicles, or demand becomes larger, needs further maneuver trafficInstrument. Thus, how maneuver traffic instrument makes the overall utilization rate maximum of the vehiclesChange and be difficult to solve always.
Summary of the invention
Embodiment of the present disclosure relates in general to for the dispatching method of the vehicles and equipment.
In first aspect, a kind of method for maneuver traffic instrument is provided, comprising: determine baseIn the subregion in geographical position; Obtain the current quantity required of the vehicles relevant to described subregion;Determine the vehicles anticipated demand quantity relevant to described subregion; And based on described current needAsk quantity and described anticipated demand quantity to determine scheduling amount.
In one embodiment, determine the vehicles anticipated demand quantity relevant to described subregionComprise: determine and institute based at least one in foundation characteristic, history feature and real-time characteristicState the vehicles anticipated demand quantity that subregion is relevant.
In one embodiment, described foundation characteristic comprises at least one in following: weekendInformation, holiday information, current time, the Weather information relevant to described subregion, movable letterBreath and commercial circle information; Described history feature comprises the vehicles history relevant to described subregionThe relevant probability of transaction data of same period demand or described subregion; And described real-time characteristic comprises and instituteState the vehicles quantity required in the time cycle before current time that subregion is relevant or needAsk the variable quantity of quantity.
In one embodiment, the method also comprises: dispatch described traffic based on described scheduling amountInstrument.
In one embodiment, the method also comprises: use random forest training with based on describedDetermine and described point at least one in foundation characteristic, described history feature and described real-time characteristicThe vehicles anticipated demand quantity that district is relevant.
In second aspect, a kind of equipment for maneuver traffic instrument is provided, comprise processor,Described processor is arranged to: determine the subregion based on geographical position; Obtain and described subregionThe current quantity required of the relevant vehicles; Determine the vehicles expection relevant to described subregionQuantity required; And determine scheduling based on described current quantity required and described anticipated demand quantityAmount.
Be appreciated that this part is not intended to identify the crucial or important spy of embodiment of the present disclosureLevy, be also non-ly intended to for limiting the scope of the present disclosure. Below further feature of the present disclosure will pass throughDescription be easy to understand.
Brief description of the drawings
By the more detailed description of the embodiment more of the present disclosure in appended accompanying drawing, thisDisclosed above and other advantage, feature and target will become more apparent, wherein:
Fig. 1 is the flow chart illustrating according to the method for an embodiment of the present disclosure; And
Fig. 2 is the block diagram illustrating according to the equipment of an embodiment of the present disclosure.
In institute's drawings attached, same or similar reference number represents same or similar element.
Detailed description of the invention
Referring now to some example embodiment, principle of the present disclosure is described. Be appreciated that theseEmbodiment only understands and the embodiment disclosure for explanation and help those skilled in the artObject and but not any restriction of suggestion to the scope of the present disclosure described. Described hereDisclosed content can be implemented with the variety of way outside mode described below.
As described herein, term " comprises " and various variant can be understood to openTerm, it means " including but not limited to ". Term "based" can be understood to " extremelySmall part ground based on ". Term " embodiment " can be understood to " at least one enforcementExample ". Term " another embodiment " can be understood to " at least one other embodiment ".
In general, embodiment more of the present disclosure relate to for the method for maneuver traffic instrument andEquipment, it is mainly used in promoting the utilization rate of the vehicles, for example, promote the order of taxi to becomeHand over. Embodiment more of the present disclosure pass through to determine the vehicles quantity of regional, and rightThe expection vehicles demand of regional is predicted, so that the vehicles are dispatched. LogicalCross the use of dispatching the vehicles and promote the vehicles, the order of for example taxi strikes a bargain. ?Herein, subregion is the subregion referring in region, and it is relevant to geographical position. Subregion canThe artificial region of dividing, for example, by artificial Beijing 1000 subregions, the each subregion dividedSize and shape can be different. Be appreciated that subregion does not mean the size of its area, butOnly represent that it is a subset in region. In fact, subregion can have arbitrary size. At thisUnder situation, can determine the central point of each subregion, vehicles order is divided automatically intoThe subregion at place, pericenter or be associated with this subregion. Subregion also can be based on geographic warpLatitude is divided, and in this case, the size and shape of subregion can be identical. Ordering of the vehiclesSingle automatically division into the subregion by longitude and latitude limited or with this subregion is associated.
Be appreciated that the demand of the meetings such as some unexpected incidents, time, weather to the vehiclesMake a significant impact. For example, traffic congestion can cause people call a taxi wish reduce. The appearance of traffic congestion canTo have temporal association, for example, workaday morning peak and evening peak easily cause traffic congestion.In addition, traffic congestion also can have the association on geographical position, and for example East 3rd Ring Road, Pekinese is often stifledCar. In addition, weather reason also can affect the demand of the vehicles. For example, paroxysmal fallingRain may cause great vehicles demand. In addition, occasion also may affect traffic workThe demand of tool. For example, well-known singer holds concert, meeting in San Litun Worker's Stadium, BeijingIn the time that finishing, concert produces great vehicles increase in demand around Worker's Stadium. LogicalCross this class situation is studied, the inventor visualizes and can be classified as three category features(foundation characteristic, history feature, real-time characteristic, description specifically vide infra), and according toThis three category feature is to the vehicles in the following a period of time section in the subregion based on geographical positionDemand predict, with the scheduling of the forward scheduling vehicles, thereby provide the vehiclesUtilization rate.
In this article, foundation characteristic refer to information at weekend, holiday information, current time, withAt least one item in Weather information, action message and commercial circle information that described subregion is relevant. CanTo understand, the demand of calling a taxi at working day and weekend has remarkable difference, therefore indicates whether for weekThe information at weekend at end is a feature that represents to affect vehicles demand. Similarly, jointIt is significantly different that holiday and the demand of calling a taxi of non-festivals or holidays also have, and for example, Spring Festival is called a taxi to be neededAsk lower, therefore indicate whether for the holiday information of festivals or holidays be to represent to affect traffic workA feature of tool demand. Current time is also to represent to affect of vehicles demandFeature, especially in the time combining with commercial circle information. For example, international trade region on weekdaysLarger for taxi demand during late 6 to late 11. The weather relevant to described subregionInformation is also a feature that represents to affect vehicles demand. For as BeijingBig city, the weather condition of zones of different may be different. For example rain in international trade region,And Back Long View region is still the cloudy day, in this case, obviously the taxi demand in international trade regionGreatly. Action message is also a feature that represents to affect vehicles demand. As mentioned above,Well-known singer holds concert in San Litun Worker's Stadium, Beijing, can be in the time that concert finishesWorker's Stadium produces great vehicles increase in demand around. Commercial circle information is also that represent canTo affect a feature of vehicles demand.
Comparatively speaking, foundation characteristic is the characteristic set relatively disperseing, and history feature more can reflectThe vehicles total demand of subregion. In this article, history feature comprises the friendship relevant to subregionThe logical instrument historical same period of demand or the probability of transaction data relevant to subregion. For example, international trade subregion existsHistorical same period of the demand of last January 19 point-20 on the 10th is 800 taxis, Yi Ji600 orders (probability of transaction is 75%) struck a bargain in this time period. International trade subregion (the present at this momentOn January 10,18: 30) only there are 200 taxis. Can find out, international trade dividesDistrict now probability of transaction is higher, and demand is larger. Therefore, need to dispatch from other subregionTaxi carrys out international trade subregion.
In this article, real-time characteristic comprises current time before the time relevant to described subregionVehicles quantity required in cycle or the variable quantity of quantity required. In some cases, go outIn some X factor, when history feature or foundation characteristic can not reflect following one section preferablyInterior taxi demand. Now, can use in for the previous period cycle relevant to subregionVehicles quantity required or the variable quantity of quantity required. For example, international trade subregion is because of at itTaxi demand in first 3 hours is respectively 600,400 and 200. Can seeGo out, the taxi demand of international trade subregion reduces gradually. Now, in international trade subregion, there are 500Taxi, therefore, can go to some taxi dispatchings some other subregion.
Referring to Fig. 1, Fig. 1 shows according to the stream of the method 100 of an embodiment of the present disclosureCheng Tu. In step 102, determine the subregion based on geographical position. As mentioned above, for example hand overLogical instrument dispatch server can be determined based on ground based on artificial delimitation or based on longitude and latitudeThe subregion of reason position. For example, Beijing is gathered according to all order coordinate message in a weekClass, determines and obtains 937 subregions and corresponding central point. In addition for example statistical history 60,It order data, obtains history feature and real-time characteristic. By history feature, real-time characteristic andFoundation characteristic is included forecast model in.
In step 104, obtain the current vehicles quantity required relevant to subregion. In stepIn rapid 106, determine the vehicles anticipated demand quantity relevant to subregion. For example, use withThe training of machine forest is to predict relevant to subregion based on history feature, real-time characteristic and foundation characteristicVehicles anticipated demand quantity. In machine learning, random forest is one and comprises multiple determiningThe grader of plan tree, and the classification of its output is that the mode of the classification exported by indivedual trees is determined.Description for random forest can the description in following network address referring to LeoBreimanhttp://stat-www.berkeley.edu/users/breiman/RandomForests/。
In step 108, current vehicles quantity required that can be based on relevant to subregion andThe vehicles anticipated demand quantity relevant to subregion is determined scheduling amount. For example, current international tradeThe vehicles of subregion are 600, by using random forest to train based on history feature, realityThe anticipated demand in one hour future that Shi Tezheng and foundation characteristic obtain is 800. Thus,The scheduling amount that can determine international trade subregion is 200. After this, can adjust from other subregionSpend 200 vehicles and enter international trade subregion.
Fig. 2 shows a block diagram that can be used for the equipment 200 of implementing embodiment of the present disclosure.As shown in the figure, equipment 200 comprises CPU (CPU) 201, and it can be according to depositingThe program of storage in read-only storage (ROM) 202 or from memory cell 208 be loaded intoProgram in machine reference to storage (RAM) 203 and carry out various suitable actions and processing.In RAM203, also store equipment 200 and operate required various programs and data. CPU201, ROM202 and RAM203 are connected with each other by bus 204. I/O (I/O)Interface 205 is also connected to bus 204.
Multiple parts in equipment 200 are connected to I/O interface 205, comprising: input block 206,Such as keyboard, mouse etc.; Output unit 207, for example cathode-ray tube (CRT), liquid crystalDisplay (LCD), loudspeaker etc.; Memory cell 208, such as disk, CD etc.; WithAnd communication unit 209, such as network interface card, modem etc. Communication unit 209 via such asThe network executive communication processing of internet.
Process as described above and processing, for example method 100, can be by processing unit 201Carry out. For example, in an embodiment, the process of implementation method 100 may be implemented as computerSoftware program, it can be visibly included on machine readable media. In such embodiments,This computer program can be downloaded and installed from network by communication unit 209, and/or borrowsHelp memory cell 208 and be transfused to equipment 200 carry out for processing unit 201.
In general, various embodiment of the present disclosure can with hardware or special circuit, software,Its any combination of logic OR is implemented. Some aspects can be with hardware implementation, and some other aspectCan be with firmware or implement software, this firmware or software can be by controller, microprocessor or itsIts computing equipment is carried out. Although various aspect of the present disclosure is shown and described as block diagram, flow processScheme or use some other to draw to represent, be still appreciated that frame described herein, equipment, beSystem, technology or method can be in nonrestrictive mode with hardware, software, firmware, Special electricsRoad or logic, common hardware or controller or other computing equipment or its some combinations are implemented.
In addition,, although operation is described with particular order, this should not be understood to require this classOperation with shown in order carry out or carry out with generic sequence, or require the behaviour shown in allBe performed to realize expected result. In some cases, multitask or parallel processing can beFavourable. Similarly, although wrapped in the superincumbent discussion of the details of some specific implementationsContain, but these should not be interpreted as any restriction to the scope of the present disclosure, but featureDescribing is only for specific embodiment. Some feature of describing in some embodiment that separate alsoCan in single embodiment, carry out in combination. Oppose mutually, that in single embodiment, describes is eachKind of feature also can be implemented discretely or with any suitable sub-portfolio in multiple embodimentMode implement.
Although the disclosure moves to describe with specific structural features and/or method, is appreciated thatThe disclosure limiting in appended claims must not be limited to above-mentioned specific features or movingDo. But above-mentioned specific features and action are only disclosed as the exemplary form implementing the claims.
Claims (10)
1. for a method for maneuver traffic instrument, comprising:
Determine the subregion based on geographical position;
Obtain the current quantity required of the vehicles relevant to described subregion;
Determine the vehicles anticipated demand quantity relevant to described subregion; And
Determine scheduling amount based on described current quantity required and described anticipated demand quantity.
2. method according to claim 1, determines that the vehicles relevant to described subregion are pre-Phase quantity required comprises:
Based at least one in foundation characteristic, history feature and real-time characteristic determine with described inThe vehicles anticipated demand quantity that subregion is relevant.
3. method according to claim 2, wherein
Described foundation characteristic comprises at least one in following: weekend information, holiday information,Current time, Weather information, action message and the commercial circle information relevant to described subregion;
Described history feature comprise the vehicles relevant to the described subregion historical same period of demand orThe probability of transaction data that described subregion is relevant; And
Described real-time characteristic comprises current time before the time cycle relevant to described subregionInterior vehicles quantity required or the variable quantity of quantity required.
4. method according to claim 1, also comprises: based on described scheduling amount dispatching officeState the vehicles.
5. method according to claim 2, also comprises:
Use random forest training with based on described foundation characteristic, described history feature and described realityDetermine the vehicles anticipated demand quantity relevant to described subregion at least one in Shi Tezheng.
6. for an equipment for maneuver traffic instrument, comprise processor, described processor is joinedPut for:
Determine the subregion based on geographical position;
Determine the vehicles current quantity required relevant to described subregion;
Determine the vehicles anticipated demand quantity relevant to described subregion; And
Dispatch the described vehicles based on described current quantity required and described anticipated demand quantity.
7. equipment according to claim 6, wherein said processor is also arranged to:
Based at least one in foundation characteristic, history feature and real-time characteristic determine with described inThe vehicles anticipated demand quantity that subregion is relevant.
8. equipment according to claim 7, wherein
Described foundation characteristic comprises at least one in following: weekend information, holiday information,Current time, Weather information, action message and the commercial circle information relevant to described subregion;
Described history feature comprise the vehicles relevant to the described subregion historical same period of demand orThe probability of transaction data that described subregion is relevant; And
Described real-time characteristic comprises current time before the time cycle relevant to described subregionInterior vehicles quantity required or the variable quantity of quantity required.
9. equipment according to claim 7, wherein said processor is also arranged to:Dispatch the described vehicles based on described scheduling amount.
10. equipment according to claim 7, wherein said processor is also arranged to:
Use random forest training with based on described foundation characteristic, described history feature and described realityDetermine the vehicles anticipated demand quantity relevant to described subregion at least one in Shi Tezheng.
Priority Applications (9)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610046769.6A CN105608886A (en) | 2016-01-21 | 2016-01-21 | Method and device for scheduling traffic tools |
| EP16748719.8A EP3258430A4 (en) | 2015-02-13 | 2016-02-04 | Transport capacity scheduling method and system |
| SG11201706602RA SG11201706602RA (en) | 2015-02-13 | 2016-02-04 | Methods and systems for transport capacity scheduling |
| US15/550,169 US20180032928A1 (en) | 2015-02-13 | 2016-02-04 | Methods and systems for transport capacity scheduling |
| PCT/CN2016/073559 WO2016127918A1 (en) | 2015-02-13 | 2016-02-04 | Transport capacity scheduling method and system |
| KR1020177025673A KR20180011053A (en) | 2015-02-13 | 2016-02-04 | Methods and systems for transport capability scheduling |
| KR1020197005368A KR20190020852A (en) | 2015-02-13 | 2016-02-04 | Methods and systems for transport capacity scheduling |
| PH12017501450A PH12017501450A1 (en) | 2015-02-13 | 2017-08-11 | Methods and system for transport capacity scheduling |
| HK18106920.2A HK1247422A1 (en) | 2015-02-13 | 2018-05-28 | Transport capacity scheduling method and system |
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| CN201610046769.6A CN105608886A (en) | 2016-01-21 | 2016-01-21 | Method and device for scheduling traffic tools |
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| CN107437146A (en) * | 2017-08-01 | 2017-12-05 | 北京同城必应科技有限公司 | A kind of order supply and demand dispatching method, system, computer equipment and storage medium |
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| CN107437144A (en) * | 2017-08-01 | 2017-12-05 | 北京闪送科技有限公司 | A kind of order dispatch method, system, computer equipment and storage medium |
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| CN110969834A (en) * | 2019-11-19 | 2020-04-07 | 上海钧正网络科技有限公司 | Processing method, processing device, computer equipment, storage medium and vehicle dispatching system |
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Application publication date: 20160525 |