CN105096636A - Parking lot dynamic selection method and system - Google Patents
Parking lot dynamic selection method and system Download PDFInfo
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Abstract
The invention discloses a parking lot dynamic selection method and a system, comprising steps of determining a destination parking lot and an optimal driving route to arrive the destination parking lot according to the first strategy, predicting the driving time taken by driving from the current position to the destination parking lot according to the second strategy in the process of moving toward the destination parking lot, predicting vehicle average incoming/outgoing quantity of the destination parking lot according to the third strategy, predicting the left free parking space quantity when the vehicle arrives at the parking lot according to the left effective free parking space quantity, driving time taken from the current position to the destination parking lot, and vehicle average incoming/outgoing quantity, and re-determining the destination parking lot and the optimal driving route to the destination parking lot according to the first strategy when the left effective free parking space quantity which is obtained through prediction is smaller than a preset threshold. The invention is used for solving the problem that the prior art cannot provide effective, timely and accurate navigation result during the process of heading to the parking lot.
Description
Technical field
The present invention relates to intelligent navigation field, particularly relate to a kind of dynamic selection method and system of parking lot.
Background technology
At present, when driver drives to go to certain destination, due to the information such as road conditions on the position in parking lot near destination, the distance of parking lot and destination, the paying price in parking lot, the idle parking stall quantity in parking lot, the path going to parking lot and path can not be obtained in time, therefore, driver may blindly select a route to arrive destination, thus add the running time of going to destination, and traffic congestion may be caused.In addition, driver goes to find parking lot behind arrival destination temporarily, likely because the parking lot found does not have that idle parking stall, parking price are higher, parking lot far from destination too away from etc. factor and abandon this parking lot, go again to find next parking lot, thus increase invalid distance, extend the time arriving destination, also may cause traffic congestion.
For the problems referred to above, parking guidance system is provided in prior art, this system is the important component part of intelligent transportation system, can provide the position in the parking lot relevant to destination, free parking space, with the distance of destination, the price in parking lot, the information such as path and driving road-condition of driving a vehicle to driver, thus help driver to select suitable parking lot and rational traffic route, to improve the parking success ratio of driver.
But, although by current parking guidance system, user before travel can select best parking lot and paths chosen scheme, but, due to urban road network's transport information and parking lot information real-time update, therefore, the best parking lot before travel selected of user and paths chosen scheme may become non-optimal scheme or infeasible scheme in traveling process.
For the problems referred to above, in the prior art, path of the best being driven a vehicle is divided into several intersection nodes, in the driving process going to parking lot, often namely judge whether road net transport information and parking lot information upgrade through an intersection node, if do not upgrade, travel to next intersection node according to former best parking lot and path planning scheme; Otherwise again multiple-objection optimization selection is carried out to parking lot according to real-time road grid traffic information or parking lot information, and determine next intersection node according to the path after upgrading.
In such scheme, need often to judge whether road net transport information and parking lot information upgrade through an intersection node.But the quantity of path overcrossing point and distribution are the problems being difficult to determine.If point of crossing quantity is many and densely distributed, then add the judgement number of times whether road net transport information and parking lot information have upgraded, add the complexity of system, increased the weight of processing time and the ability of system, easily cause repeatedly invalid judgement, waste limited resource; If point of crossing quantity is few and distribute sparse, distant then between point of crossing, easily miss the time point of road net transport information and parking lot information renewal, when blocking the way road grid traffic information and parking lot information upgrade, user may travel between two point of crossing, wanting the long period could arrive next point of crossing, could judge whether road net transport information and parking lot information upgrade, miss the opportunity reselecting new driving path or new best parking lot, cause increasing the path and running time of going to parking lot.
Summary of the invention
In order to solve the problems of the technologies described above, the invention provides a kind of dynamic selection method and system of parking lot, with solve in prior art go in the process of parking lot cannot dynamically provide effectively, in time, the problem of accurate navigation result.
In order to reach above-mentioned technical purpose, the invention provides a kind of dynamic selection method of parking lot, comprising: determine object parking lot and the best traffic route arriving object parking lot according to the first strategy, in the process of going to described object parking lot, the driving duration needed for object parking lot is arrived according to the second strategy prediction current location, the vehicle on average amount of sailing into and the vehicle on average amount of rolling away from object parking lot in driving duration needed for the 3rd strategy prediction current location arrival object parking lot, according to the effective free parking space quantity of the real-time residue in object parking lot, predict that the current location obtained arrives the driving duration needed for object parking lot, predict the vehicle on average amount of sailing into and the vehicle on average amount of rolling away from the object parking lot obtained, the effective free parking space quantity of residue in this object parking lot during prediction arrival object parking lot, when the effective free parking space quantity of the residue that described prediction obtains is less than predetermined threshold, redefine object parking lot and the best traffic route arriving object parking lot according to described first strategy.
Further, describedly determine object parking lot according to the first strategy and arrive the best traffic route in object parking lot and comprise:
Determine that candidate parking lot is gathered according to trip purpose;
For each candidate parking lot in the set of described candidate parking lot, needed for the paying price in the safe class of the walking distance of this candidate parking lot to destination, the remaining effective free parking space quantity in this candidate parking lot, this candidate parking lot storing cycle, this candidate parking lot, current location to this candidate parking lot, duration and weighted value corresponding to above-mentioned each factor, determine the Selection parameter in this candidate parking lot;
According to the Selection parameter in all candidate parking lots obtained, from the set of candidate parking lot, determine object parking lot;
Traffic route the shortest for duration needed for current location to object parking lot is defined as best traffic route.
Further, the described driving duration arrived needed for object parking lot according to the second strategy prediction current location comprises:
For the every bar road best traffic route not yet travelling process, the average driving speed of future time point is predicted according to the average driving speed of Preset Time point record and the weighted value of correspondence, not yet travel the road length of process according to current on this road and predict the average driving speed of the future time point obtained, determining by the driving duration needed for the road length not yet travelling process current on this road;
The driving duration sum of the every bar road best driving route not yet travelling process is defined as the driving duration of current location arrival needed for object parking lot.
Further, described arrive needed for object parking lot driving duration according to the 3rd strategy prediction current location in object parking lot vehicle on average the amount of sailing into and vehicle on average the amount of rolling away from comprise:
When there being vehicle to roll away from from object parking lot, according to real-time vehicles obtained all in current point in time to the start time point on average amount of rolling away from and each real-time vehicle weighted value that on average amount of rolling away from is corresponding, prediction current location arrives the vehicle on average amount of rolling away from object parking lot in the driving duration needed for object parking lot, wherein, described real-time vehicle on average the amount of rolling away from the vehicle fleet that to be start time point roll away from from object parking lot to certain time point having vehicle to roll away from from object parking lot and this time point to the ratio of the duration of start time point;
When there being vehicle to sail object parking lot into, according to real-time vehicles obtained all in current point in time to the start time point on average amount of sailing into and each real-time vehicle weighted value that on average amount of sailing into is corresponding, prediction current location arrives the vehicle on average amount of sailing in object parking lot in the driving duration needed for object parking lot, wherein, described real-time vehicle on average the vehicle fleet in the amount of sailing into be start time point sail into certain time point having vehicle to sail object parking lot into object parking lot and this time point to the ratio of the duration of start time point.
Further, after described driving duration needed for the second strategy prediction current location arrival object parking lot, described according to the 3rd strategy prediction current location arrive object stop needed for driving duration in object parking lot vehicle on average the amount of sailing into and vehicle on average before the amount of rolling away from, also comprise:
The driving duration obtained when described prediction meets pre-conditioned, then redefine the best traffic route arriving object parking lot according to described first strategy;
The driving duration obtained when described prediction does not meet pre-conditioned, then carry out according to the 3rd strategy prediction current location arrive object stop needed for driving duration in the step of the average average amount of rolling away from of the amount of sailing into and vehicle of vehicle in object parking lot.
The present invention also provides a kind of Dynamic Selection system of parking lot, comprising: the first processing module, for determining object parking lot and the best traffic route arriving object parking lot according to the first strategy, second processing module, for in the process of going to described object parking lot, the driving duration needed for object parking lot is arrived according to the second strategy prediction current location, the vehicle on average amount of sailing into and the vehicle on average amount of rolling away from object parking lot in driving duration needed for the 3rd strategy prediction current location arrival object parking lot, according to the effective free parking space quantity of the real-time residue in object parking lot, predict that the current location obtained arrives the driving duration needed for object parking lot, predict the vehicle on average amount of sailing into and the vehicle on average amount of rolling away from the object parking lot obtained, the effective free parking space quantity of residue in this object parking lot during prediction arrival object parking lot, 3rd processing module, for when the effective free parking space quantity of the residue that described prediction obtains is less than predetermined threshold, redefines object parking lot and the best traffic route arriving object parking lot according to the first strategy.
Further, described first processing module, specifically for:
Determine that candidate parking lot is gathered according to trip purpose;
For each candidate parking lot in the set of described candidate parking lot, needed for the paying price in the safe class of the walking distance of this candidate parking lot to destination, the remaining effective free parking space quantity in this candidate parking lot, this candidate parking lot storing cycle, this candidate parking lot, current location to this candidate parking lot, duration and weighted value corresponding to above-mentioned each factor, determine the Selection parameter in this candidate parking lot;
According to the Selection parameter in all candidate parking lots obtained, from the set of candidate parking lot, determine object parking lot;
Traffic route the shortest for duration needed for current location to object parking lot is defined as best traffic route.
Further, described second processing module, comprises for the driving duration arrived needed for object parking lot according to the second strategy prediction current location:
For the every bar road best traffic route not yet travelling process, the average driving speed of future time point is predicted according to the average driving speed of Preset Time point record and the weighted value of correspondence, not yet travel the road length of process according to current on this road and predict the average driving speed of the future time point obtained, determining by the driving duration needed for the road length not yet travelling process current on this road;
The driving duration sum of the every bar road best traffic route not yet travelling process is defined as the driving duration of current location arrival needed for object parking lot.
Further, described second processing module, for arrive object parking lot in the driving duration needed for object parking lot according to the 3rd strategy prediction current location vehicle on average the amount of sailing into and vehicle on average the amount of rolling away from comprise:
When there being vehicle to roll away from from object parking lot, according to real-time vehicles obtained all in current point in time to the start time point on average amount of rolling away from and each real-time vehicle weighted value that on average amount of rolling away from is corresponding, prediction current location arrives the vehicle on average amount of rolling away from object parking lot in the driving duration needed for object parking lot, wherein, described real-time vehicle on average the amount of rolling away from the vehicle fleet that to be start time point roll away from from object parking lot to certain time point having vehicle to roll away from from object parking lot and this time point to the ratio of the duration of start time point;
When there being vehicle to sail object parking lot into, according to real-time vehicles obtained all in current point in time to the start time point on average amount of sailing into and each real-time vehicle weighted value that on average amount of sailing into is corresponding, prediction current location arrives the vehicle on average amount of sailing in object parking lot in the driving duration needed for object parking lot, wherein, described real-time vehicle on average the vehicle fleet in the amount of sailing into be start time point sail into certain time point having vehicle to sail object parking lot into object parking lot and this time point to the ratio of the duration of start time point.
Further, described 3rd processing module, the driving duration also for obtaining when described prediction meets pre-conditioned, then redefine the best traffic route arriving object parking lot according to described first strategy; The driving duration obtained when described prediction does not meet pre-conditioned, then the vehicle on average amount of sailing into and the vehicle on average amount of rolling away from object parking lot in the driving duration needed for stopping according to the 3rd strategy prediction current location arrival object.
In the present invention, object parking lot and the best traffic route arriving object parking lot is determined according to the first strategy, in the process of going to object parking lot, the driving duration needed for object parking lot is arrived according to the second strategy prediction current location, the vehicle on average amount of sailing into and the vehicle on average amount of rolling away from object parking lot in driving duration needed for the 3rd strategy prediction current location arrival object parking lot, according to the effective free parking space quantity of the real-time residue in object parking lot, predict that the current location obtained arrives the driving duration needed for object parking lot, predict the vehicle on average amount of sailing into and the vehicle on average amount of rolling away from the object parking lot obtained, the effective free parking space quantity of residue in this object parking lot during prediction arrival object parking lot, when predicting that the effective free parking space quantity of residue obtained is less than predetermined threshold, redefine object parking lot and the best traffic route arriving object parking lot according to the first strategy.So, judge that parking lot remains the situation of change of effective free parking space within expected residual running time according to the dynamic change situation of Parking bit quantity in user's running time, the alarm prompt not having parking stall when arriving parking lot is sent in time to user, avoid the situation occurring not having parking stall after user arrives object parking lot, improve the accuracy that object parking lot is selected.
In addition, when predicting that the driving duration obtained meets pre-conditioned, then the best traffic route arriving object parking lot is redefined according to the first strategy.So, judge in expected residual running time according to user's dynamic change of road information in duration of driving a vehicle, arrive the traffic congestion degree in the remaining rows bus or train route footpath in object parking lot, in time for user provides the traffic congestion alarm in remaining rows bus or train route footpath, thus guide user to avoid the route that blocks up in time, reselect best driving route, effectively reduce the running time that user goes to destination.
Accompanying drawing explanation
The process flow diagram of the dynamic selection method in the parking lot that Fig. 1 provides for the embodiment of the present invention;
The schematic diagram of the Dynamic Selection system in the parking lot that Fig. 2 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, embodiments of the invention are described in detail, should be appreciated that following illustrated embodiment is only for instruction and explanation of the present invention, is not intended to limit the present invention.
The process flow diagram of the dynamic selection method in the parking lot that Fig. 1 provides for the embodiment of the present invention.As shown in Figure 1, the dynamic selection method in parking lot that the embodiment of the present invention provides comprises the following steps:
Step 11: determine object parking lot and the best traffic route arriving object parking lot according to the first strategy.
In the present embodiment, determine that object parking lot comprises with the best traffic route arriving object parking lot according to the first strategy:
Determine that candidate parking lot is gathered according to trip purpose;
For each candidate parking lot in the set of candidate parking lot, needed for the paying price in the safe class of the walking distance of this candidate parking lot to destination, the remaining effective free parking space quantity in this candidate parking lot, this candidate parking lot storing cycle, this candidate parking lot, current location to this candidate parking lot, duration and weighted value corresponding to above-mentioned each factor, determine the Selection parameter in this candidate parking lot;
According to the Selection parameter in all candidate parking lots obtained, from the set of candidate parking lot, determine object parking lot;
Traffic route the shortest for duration needed for current location to object parking lot is defined as best traffic route.
Wherein, the first strategy such as comprises: the Selection parameter in each candidate parking lot is determined according to the product of each candidate parking lot selection factor weighted value corresponding with each factor; Object parking lot is candidate parking lot corresponding to Selection parameter minimum value; The best traffic route traffic route that duration is the shortest needed for current location to object parking lot.
Specifically, with trip purpose for the center of circle, the parking lot of the 500 meters of radius in selected distance destination is the set of candidate parking lot.For candidate parking lot A, drive to be five to the traveling duration a5 needed for candidate parking lot select influence factor with the walking distance a1 of candidate parking lot to destination, the remaining effective free parking space quantity a2 in candidate parking lot, the safe class a3 of candidate parking lot storing cycle, the paying price a4 in candidate parking lot, current location, in conjunction with the weighted value of above-mentioned five factors determined according to user's attention degree, the Selection parameter of candidate parking lot A can be determined.
In this, for the ease of carrying out the comparison of Selection parameter between different candidate parking lot, influence factor is selected to need to be normalized data processing, to carry out the unification of unit for five.For example, the value of the walking distance a1 of candidate parking lot to destination is the true walking distance of this candidate parking lot to destination and the ratio of 500, the value of the remaining effective free parking space quantity a2 in candidate parking lot is residue effective free parking space quantity in this candidate parking lot and the ratio of this whole parking stalls, candidate parking lot quantity, the value of the safe class a3 of candidate parking lot storing cycle is the ratio of the numerical value that during this candidate parking lot storing cycle security value and candidate parking lot are gathered, storing cycle security is the highest, the value of the paying price a4 in candidate parking lot is the ratio of paying price the highest during the paying price in this candidate parking lot and candidate parking lot are gathered, current location drive to the traveling duration a5 needed for candidate parking lot value for drive to the traveling duration needed for this candidate parking lot with drive to gather to candidate parking lot in parking lot needed for most long row sail the ratio of duration.
In this, Selection parameter such as calculates according to following formula: C=b1*a1+b2* (1-a2)+b3* (1-a3)+b4*a4+b5*a5,
Wherein, b1 is the weighted value that factor a1 is corresponding, and b2 is the weighted value that factor a2 is corresponding, and b3 is the weighted value that factor a3 is corresponding, and b4 is the weighted value that factor a4 is corresponding, and b5 is the weighted value that factor a5 is corresponding.In this, user's attention degree is higher, and corresponding weighted value is lower.
According to above-mentioned process, the Selection parameter that in the set of candidate parking lot, each candidate parking lot is corresponding can be obtained.In this, according to the first strategy, candidate parking lot corresponding for wherein minimum Selection parameter is defined as object parking lot.So, by considering multiple selection factor, and be converted to data and compare, effectively improve the convergence precision of existing multiple multi-objective optimization algorithm, speed and stability.In addition, the present invention is not limited thereto for the setting of selection factor.In practical application, can increase or reduce the selection factor needing to consider as required newly.
In addition, in the present embodiment, drive as follows to the measuring and calculating process of the traveling duration needed for candidate parking lot: drive a vehicle between starting point and place, candidate parking lot user and select some driving paths, every bar driving path such as comprises at least one road, for every bar driving path, according to present road net traffic, the running time of each road on this driving path is calculated according to the average driving speed of every bar road on this driving path and link length, the running time in this driving path is calculated after summation, accordingly, calculate the running time that above-mentioned some driving paths are corresponding separately, get the running time as parking lot of driving minimum running time of wherein calculating, this minimum running time, corresponding driving path was the driving path in parking lot of driving.Wherein, present road net traffic, such as, by connecting the system of road condition information of public security bureau, the traffic information of each bar road in the Real-time Obtaining whole city, and calculates the average driving speed on every bar road according to traffic information.
In this, after object parking lot is determined, current location is selected to be best traffic route to the traffic route that object parking lot required time is the shortest.Now, static duration is defined as by the driving duration needed for best driving route.
Step 12: in the process of going to object parking lot, the driving duration needed for object parking lot is arrived according to the second strategy prediction current location, the vehicle on average amount of sailing into and the vehicle on average amount of rolling away from object parking lot in driving duration needed for the 3rd strategy prediction current location arrival object parking lot, according to the effective free parking space quantity of the real-time residue in object parking lot, predict that the current location obtained arrives the driving duration needed for object parking lot, predict the vehicle on average amount of sailing into and the vehicle on average amount of rolling away from the object parking lot obtained, the effective free parking space quantity of residue in this object parking lot during prediction arrival object parking lot.
In the present embodiment, comprise according to the driving duration that the second strategy prediction current location arrives needed for object parking lot:
For the every bar road best traffic route not yet travelling process, the average driving speed of future time point is predicted according to the average driving speed of Preset Time point record and the weighted value of correspondence, not yet travel the road length of process according to current on this road and predict the average driving speed of the future time point obtained, determining by the driving duration needed for the road length not yet travelling process current on this road;
The driving duration sum of the every bar road best traffic route not yet travelling process is defined as the driving duration of current location arrival needed for object parking lot.
Wherein, the second strategy such as comprises: the average driving speed of every bar road future time point be current point in time to the average driving speed of the interocclusal record of start time point and average driving speed respective weights value product and value; The ratio of the average driving speed of future time point corresponding to the residue Lu Changyu of every bar road is equaled by the driving duration needed for the road every bar road not yet travelling process long (that is, remaining road long); The current location driving duration achieved the goal needed for parking lot is the driving duration sum of all residue roads length.
Specifically, set a set time section, by running time draws several Preset Time points divided by set time section, often arrive the average driving speed of every bar road in residual paths that time point record arrives object parking lot.Suppose now residual paths has d bar road, as on e article of road, the average driving speed of time point tf is GHetf, when arrival time point is as ti, according to the average driving speed that bar road every in residual paths is recorded from time point t1 to ti, in measuring and calculating future time point, the average driving speed of this road is: GHeti '=j1*GHet1+j2*GHet2+ ... + ji*GHeti
Wherein, GHeti ' is the average driving speed under time point ti in e article of road future time point, and ji is the weighted value of GHeti.Wherein, time point is more close to current time, and weighted value is higher, and j1+j2+ ... + ji=1, i be greater than 0 integer.
And, draw the prediction duration Teti ' by this article of road according to the ratio of long Le and the GHeti ' in the road of e article of road, the prediction duration of above-mentioned d bar road is added the predicted time that can draw by this d bar road in residual paths.
In the present embodiment, according to the vehicle in object parking lot in the driving duration that the 3rd strategy prediction current location arrives needed for object parking lot on average the amount of sailing into and vehicle on average the amount of rolling away from comprise:
When there being vehicle to roll away from from object parking lot, according to real-time vehicles obtained all in current point in time to the start time point on average amount of rolling away from and each real-time vehicle weighted value that on average amount of rolling away from is corresponding, prediction current location arrives the vehicle on average amount of rolling away from object parking lot in the driving duration needed for object parking lot, wherein, real-time vehicle on average the amount of rolling away from the vehicle fleet that to be start time point roll away from from object parking lot to certain time point having vehicle to roll away from from object parking lot and this time point to the ratio of the duration of start time point;
When there being vehicle to sail object parking lot into, according to real-time vehicles obtained all in current point in time to the start time point on average amount of sailing into and each real-time vehicle weighted value that on average amount of sailing into is corresponding, prediction current location arrives the vehicle on average amount of sailing in object parking lot in the driving duration needed for object parking lot, wherein, real-time vehicle on average the vehicle fleet in the amount of sailing into be start time point sail into certain time point having vehicle to sail object parking lot into object parking lot and this time point to the ratio of the duration of start time point.
Wherein, the 3rd strategy such as comprises: the vehicle that current location arrives object parking lot in driving duration needed for object parking lot on average the amount of rolling away from equal all real-time vehicles obtained in current point in time to start time point on average the amount of rolling away from and respective weights value product and value; The vehicle that current location arrives object parking lot in driving duration needed for object parking lot on average the amount of sailing into equal all real-time vehicles obtained in current point in time to start time point on average the amount of sailing into and respective weights value product and value.
Specifically, when parking lot has a car to roll away from (as time point tm), when namely increasing an effective free parking space, between measuring and calculating from the outset, point (as time point t1) is to the vehicle on average amount of rolling away from the POtm in time point tm parking lot, wherein, the vehicle fleet that between POtm equals from the outset, point rolls away from from parking lot to time point tm is divided by time span, and the situation of change of foundation POt1 to POtm, measuring and calculating to arrive at parking lot in parking lot time section from time point tm to user vehicle on average the amount of rolling away from be: PQtm '=r1*PQt1+r2*PQt2+ ... + rm*PQtm,
Wherein, rm is the weighted value of PQtm, and time point is more close to current time, and weighted value is higher, and r1+r2+ ... + rm=1, m be greater than 0 integer.
In addition, when there being a car to sail parking lot into (as time point ts), when namely reducing by an effective free parking space, between measuring and calculating from the outset, point (as time point t1) is to the vehicle on average amount of sailing into the UVts in time point ts parking lot, wherein, between UVts equals from the outset, point sails the vehicle fleet in parking lot into divided by time span to time point ts, and the situation of change of foundation UVt1 to UVts, measuring and calculating to arrive at parking lot in parking lot time section from time point ts to user vehicle on average the amount of sailing into be: UVts '=w1*UVt1+w2*UVt2+ ... + ws*UVts
Wherein, ws is the weighted value of UVts, and time point is more close to current time, and weighted value is higher, and w1+w2+ ... + ws=1, s be greater than 0 integer.
In the present embodiment, according to the effective free parking space quantity of the real-time residue in object parking lot, predict that the current location obtained arrives the driving duration needed for object parking lot, predict the vehicle on average amount of rolling away from and the vehicle on average amount of sailing in the object parking lot obtained, when prediction arrives object parking lot, residue effective free parking space quantity in this object parking lot comprises: the vehicle in the object parking lot that computational prediction obtains on average the amount of rolling away from predict product that the current location obtained arrives the driving duration needed for object parking lot and real-time remain effective free parking space quantity and value, the vehicle that computational prediction the obtains current location that on average amount of sailing into and prediction obtain arrives the product of the driving duration needed for object parking lot, should and the difference of value and this product be the residue in this object parking lot effective free parking space quantity when arriving object parking lot.
Accordingly, for example, at time point ty, when a car sails parking lot into, when namely reducing by an effective free parking space, according to arriving at the vehicle on average amount of rolling away from PQty ' and the vehicle on average amount of sailing into UVty ' in parking lot time section from time point ty to user, measuring and calculating remains effective free parking space quantity when user arrives at parking lot, in this, remain effective free parking space quantity=P-PQty ' * TLty+UVty ' * TLty, wherein, P is the effective free parking space quantity of real-time residue of current time parking lot feedback, TLty is that time point ty arrives at the duration between the moment of parking lot to user.
Step 13: when predicting that the effective free parking space quantity of residue obtained is less than predetermined threshold, redefines object parking lot and the best traffic route arriving object parking lot according to the first strategy.
In the present embodiment, when predicting that the effective free parking space quantity of residue obtained is less than predetermined threshold, the alarm prompt of free parking space is not had when user sends and arrives parking lot, and delete current object parking lot from the set of candidate parking lot after, then redefine new object parking lot and the best traffic route arriving new object parking lot according to the first strategy.When predicting that the effective free parking space quantity of residue obtained is not less than predetermined threshold, then continue to drive a vehicle along residual paths.
In addition, in the present embodiment, after arriving the driving duration needed for object parking lot according to the second strategy prediction current location, according to the 3rd strategy prediction current location arrive object stop needed for driving duration in the vehicle in object parking lot on average the amount of sailing into and vehicle are on average before the amount of rolling away from, the method also comprises:
When predicting that the driving duration obtained meets pre-conditioned, then redefine the best traffic route arriving object parking lot according to the first strategy;
When predicting that the driving duration that obtains does not meet pre-conditioned, then carry out according to the 3rd strategy prediction current location arrive object stop needed for driving duration in the step of the average average amount of rolling away from of the amount of sailing into and vehicle of vehicle in object parking lot.
Wherein, describedly pre-conditionedly to comprise: predict that the driving duration that the current location obtained arrives needed for object parking lot is greater than predetermined threshold with the difference of corresponding static duration according to the second strategy, wherein, the driving duration obtained when described static duration is and determines according to the first strategy the best traffic route arriving object parking lot.
Specifically, if the difference of the static duration that the predicted time obtained according to the second strategy is in step 12 corresponding with residual paths is greater than reservation threshold, then carry out residual paths traffic congestion alarm prompt, and recalculate the driving path of current state down train shortest time according to driving to the measuring and calculating process of parking lot running time; If the difference of the static duration that described predicted time is corresponding with residual paths is not more than predetermined threshold, then continue to drive a vehicle along residual paths.
The schematic diagram of the Dynamic Selection system in the parking lot that Fig. 2 provides for the embodiment of the present invention.As shown in Figure 2, the Dynamic Selection system in the parking lot that the embodiment of the present invention provides, comprising: the first processing module, for determining object parking lot and the best traffic route arriving object parking lot according to the first strategy, second processing module, for in the process of going to object parking lot, the driving duration needed for object parking lot is arrived according to the second strategy prediction current location, the vehicle on average amount of sailing into and the vehicle on average amount of rolling away from object parking lot in driving duration needed for the 3rd strategy prediction current location arrival object parking lot, according to the effective free parking space quantity of the real-time residue in object parking lot, predict that the current location obtained arrives the driving duration needed for object parking lot, predict the vehicle on average amount of sailing into and the vehicle on average amount of rolling away from the object parking lot obtained, the effective free parking space quantity of residue in this object parking lot during prediction arrival object parking lot, 3rd processing module, for when the effective free parking space quantity of the residue that described prediction obtains is less than predetermined threshold, redefines object parking lot and the best traffic route arriving object parking lot according to the first strategy.
Wherein, the first processing module, specifically for:
Determine that candidate parking lot is gathered according to trip purpose;
For each candidate parking lot in the set of described candidate parking lot, needed for the paying price in the safe class of the walking distance of this candidate parking lot to destination, the remaining effective free parking space quantity in this candidate parking lot, this candidate parking lot storing cycle, this candidate parking lot, current location to this candidate parking lot, duration and weighted value corresponding to above-mentioned each factor, determine the Selection parameter in this candidate parking lot;
According to the Selection parameter in all candidate parking lots obtained, from the set of candidate parking lot, determine object parking lot;
Traffic route the shortest for duration needed for current location to object parking lot is defined as best traffic route.
Wherein, second processing module, driving duration for arriving needed for object parking lot according to the second strategy prediction current location comprises: for the every bar road best traffic route not yet travelling process, the average driving speed of future time point is predicted according to the average driving speed of Preset Time point record and the weighted value of correspondence, not yet travel the road length of process according to current on this road and predict the average driving speed of the future time point obtained, determining by the driving duration needed for the road length not yet travelling process current on this road; The driving duration sum of the every bar road best traffic route not yet travelling process is defined as the driving duration of current location arrival needed for object parking lot.
Wherein, the second processing module, for arrive object parking lot in the driving duration needed for object parking lot according to the 3rd strategy prediction current location vehicle on average the amount of sailing into and vehicle on average the amount of rolling away from comprise:
When there being vehicle to roll away from from object parking lot, according to real-time vehicles obtained all in current point in time to the start time point on average amount of rolling away from and each real-time vehicle weighted value that on average amount of rolling away from is corresponding, prediction current location arrives the vehicle on average amount of rolling away from object parking lot in the driving duration needed for object parking lot, wherein, described real-time vehicle on average the amount of rolling away from the vehicle fleet that to be start time point roll away from from object parking lot to certain time point having vehicle to roll away from from object parking lot and this time point to the ratio of the duration of start time point;
When there being vehicle to sail object parking lot into, according to real-time vehicles obtained all in current point in time to the start time point on average amount of sailing into and each real-time vehicle weighted value that on average amount of sailing into is corresponding, prediction current location arrives the vehicle on average amount of sailing in object parking lot in the driving duration needed for object parking lot, wherein, described real-time vehicle on average the vehicle fleet in the amount of sailing into be start time point sail into certain time point having vehicle to sail object parking lot into object parking lot and this time point to the ratio of the duration of start time point.
In an embodiment, the 3rd processing module, also for when predicting that the driving duration obtained meets pre-conditioned, then redefines the best traffic route arriving object parking lot according to the first strategy; When predicting that the driving duration obtained does not meet pre-conditioned, then the vehicle on average amount of sailing into and the vehicle on average amount of rolling away from object parking lot in the driving duration needed for stopping according to the 3rd strategy prediction current location arrival object.
Wherein, pre-conditionedly to comprise: predict that the driving duration that the current location obtained arrives needed for object parking lot is greater than predetermined threshold with the difference of corresponding static duration according to the second strategy, wherein, the driving duration obtained when described static duration is and determines according to the first strategy the best traffic route arriving object parking lot.
It should be noted that, the Dynamic Selection system in the parking lot that the embodiment of the present invention provides can keep communicating in the parking lot all with (such as, the whole city or the whole province) in certain limit.Real-time effective free parking space quantity and positional information are passed to the Dynamic Selection system in parking lot by each parking lot by communication module.
In addition, the concrete processing procedure of described system with described in said method, therefore repeats no more in this.
More than show and describe ultimate principle of the present invention and principal character and advantage of the present invention.The present invention is not restricted to the described embodiments; what describe in above-described embodiment and instructions just illustrates principle of the present invention; without departing from the spirit and scope of the present invention, the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention.
Claims (10)
1. the dynamic selection method in parking lot, is characterized in that, comprising:
Object parking lot and the best traffic route arriving object parking lot is determined according to the first strategy;
In the process of going to described object parking lot, the driving duration needed for object parking lot is arrived according to the second strategy prediction current location, the vehicle on average amount of sailing into and the vehicle on average amount of rolling away from object parking lot in driving duration needed for the 3rd strategy prediction current location arrival object parking lot, according to the effective free parking space quantity of the real-time residue in object parking lot, predict that the current location obtained arrives the driving duration needed for object parking lot, predict the vehicle on average amount of sailing into and the vehicle on average amount of rolling away from the object parking lot obtained, the effective free parking space quantity of residue in this object parking lot during prediction arrival object parking lot,
When the effective free parking space quantity of the residue that described prediction obtains is less than predetermined threshold, redefine object parking lot and the best traffic route arriving object parking lot according to described first strategy.
2. the method for claim 1, is characterized in that, describedly determines object parking lot according to the first strategy and arrives the best traffic route in object parking lot and comprise:
Determine that candidate parking lot is gathered according to trip purpose;
For each candidate parking lot in the set of described candidate parking lot, needed for the paying price in the safe class of the walking distance of this candidate parking lot to destination, the remaining effective free parking space quantity in this candidate parking lot, this candidate parking lot storing cycle, this candidate parking lot, current location to this candidate parking lot, duration and weighted value corresponding to above-mentioned each factor, determine the Selection parameter in this candidate parking lot;
According to the Selection parameter in all candidate parking lots obtained, from the set of candidate parking lot, determine object parking lot;
Traffic route the shortest for duration needed for current location to object parking lot is defined as best traffic route.
3. the method for claim 1, is characterized in that, the described driving duration arrived needed for object parking lot according to the second strategy prediction current location comprises:
For the every bar road best traffic route not yet travelling process, the average driving speed of future time point is predicted according to the average driving speed of Preset Time point record and the weighted value of correspondence, not yet travel the road length of process according to current on this road and predict the average driving speed of the future time point obtained, determining by the driving duration needed for the road length not yet travelling process current on this road;
The driving duration sum of the every bar road best driving route not yet travelling process is defined as the driving duration of current location arrival needed for object parking lot.
4. the method for claim 1, is characterized in that, described arrive needed for object parking lot driving duration according to the 3rd strategy prediction current location in object parking lot vehicle on average the amount of sailing into and vehicle on average the amount of rolling away from comprise:
When there being vehicle to roll away from from object parking lot, according to real-time vehicles obtained all in current point in time to the start time point on average amount of rolling away from and each real-time vehicle weighted value that on average amount of rolling away from is corresponding, prediction current location arrives the vehicle on average amount of rolling away from object parking lot in the driving duration needed for object parking lot, wherein, described real-time vehicle on average the amount of rolling away from the vehicle fleet that to be start time point roll away from from object parking lot to certain time point having vehicle to roll away from from object parking lot and this time point to the ratio of the duration of start time point;
When there being vehicle to sail object parking lot into, according to real-time vehicles obtained all in current point in time to the start time point on average amount of sailing into and each real-time vehicle weighted value that on average amount of sailing into is corresponding, prediction current location arrives the vehicle on average amount of sailing in object parking lot in the driving duration needed for object parking lot, wherein, described real-time vehicle on average the vehicle fleet in the amount of sailing into be start time point sail into certain time point having vehicle to sail object parking lot into object parking lot and this time point to the ratio of the duration of start time point.
5. the method for claim 1, it is characterized in that, after described driving duration needed for the second strategy prediction current location arrival object parking lot, described according to the 3rd strategy prediction current location arrive object stop needed for driving duration in object parking lot vehicle on average the amount of sailing into and vehicle on average before the amount of rolling away from, also comprise:
The driving duration obtained when described prediction meets pre-conditioned, then redefine the best traffic route arriving object parking lot according to described first strategy;
The driving duration obtained when described prediction does not meet pre-conditioned, then carry out according to the 3rd strategy prediction current location arrive object stop needed for driving duration in the step of the average average amount of rolling away from of the amount of sailing into and vehicle of vehicle in object parking lot.
6. the Dynamic Selection system in parking lot, is characterized in that, comprising:
First processing module, for determining object parking lot and the best traffic route arriving object parking lot according to the first strategy;
Second processing module, for in the process of going to described object parking lot, the driving duration needed for object parking lot is arrived according to the second strategy prediction current location, the vehicle on average amount of sailing into and the vehicle on average amount of rolling away from object parking lot in driving duration needed for the 3rd strategy prediction current location arrival object parking lot, according to the effective free parking space quantity of the real-time residue in object parking lot, predict that the current location obtained arrives the driving duration needed for object parking lot, predict the vehicle on average amount of sailing into and the vehicle on average amount of rolling away from the object parking lot obtained, the effective free parking space quantity of residue in this object parking lot during prediction arrival object parking lot,
3rd processing module, for when the effective free parking space quantity of the residue that described prediction obtains is less than predetermined threshold, redefines object parking lot and the best traffic route arriving object parking lot according to the first strategy.
7. system as claimed in claim 6, is characterized in that, described first processing module, specifically for:
Determine that candidate parking lot is gathered according to trip purpose;
For each candidate parking lot in the set of described candidate parking lot, needed for the paying price in the safe class of the walking distance of this candidate parking lot to destination, the remaining effective free parking space quantity in this candidate parking lot, this candidate parking lot storing cycle, this candidate parking lot, current location to this candidate parking lot, duration and weighted value corresponding to above-mentioned each factor, determine the Selection parameter in this candidate parking lot;
According to the Selection parameter in all candidate parking lots obtained, from the set of candidate parking lot, determine object parking lot;
Traffic route the shortest for duration needed for current location to object parking lot is defined as best traffic route.
8. system as claimed in claim 6, is characterized in that, described second processing module, comprises for the driving duration arrived needed for object parking lot according to the second strategy prediction current location:
For the every bar road best traffic route not yet travelling process, the average driving speed of future time point is predicted according to the average driving speed of Preset Time point record and the weighted value of correspondence, not yet travel the road length of process according to current on this road and predict the average driving speed of the future time point obtained, determining by the driving duration needed for the road length not yet travelling process current on this road;
The driving duration sum of the every bar road best traffic route not yet travelling process is defined as the driving duration of current location arrival needed for object parking lot.
9. system as claimed in claim 6, is characterized in that, described second processing module, for arrive object parking lot in the driving duration needed for object parking lot according to the 3rd strategy prediction current location vehicle on average the amount of sailing into and vehicle on average the amount of rolling away from comprise:
When there being vehicle to roll away from from object parking lot, according to real-time vehicles obtained all in current point in time to the start time point on average amount of rolling away from and each real-time vehicle weighted value that on average amount of rolling away from is corresponding, prediction current location arrives the vehicle on average amount of rolling away from object parking lot in the driving duration needed for object parking lot, wherein, described real-time vehicle on average the amount of rolling away from the vehicle fleet that to be start time point roll away from from object parking lot to certain time point having vehicle to roll away from from object parking lot and this time point to the ratio of the duration of start time point;
When there being vehicle to sail object parking lot into, according to real-time vehicles obtained all in current point in time to the start time point on average amount of sailing into and each real-time vehicle weighted value that on average amount of sailing into is corresponding, prediction current location arrives the vehicle on average amount of sailing in object parking lot in the driving duration needed for object parking lot, wherein, described real-time vehicle on average the vehicle fleet in the amount of sailing into be start time point sail into certain time point having vehicle to sail object parking lot into object parking lot and this time point to the ratio of the duration of start time point.
10. system as claimed in claim 6, is characterized in that: described 3rd processing module, and the driving duration also for obtaining when described prediction meets pre-conditioned, then redefine the best traffic route arriving object parking lot according to described first strategy; The driving duration obtained when described prediction does not meet pre-conditioned, then the vehicle on average amount of sailing into and the vehicle on average amount of rolling away from object parking lot in the driving duration needed for stopping according to the 3rd strategy prediction current location arrival object.
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