CN105872263A - Traffic tool station arriving reminding method and system and mobile terminal - Google Patents
Traffic tool station arriving reminding method and system and mobile terminal Download PDFInfo
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- CN105872263A CN105872263A CN201610438612.8A CN201610438612A CN105872263A CN 105872263 A CN105872263 A CN 105872263A CN 201610438612 A CN201610438612 A CN 201610438612A CN 105872263 A CN105872263 A CN 105872263A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/025—Services making use of location information using location based information parameters
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/12—Messaging; Mailboxes; Announcements
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Human Computer Interaction (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention provides a traffic tool station arriving reminding method and system and a mobile terminal. The traffic tool station arriving reminding method comprises the following steps of collecting GPS (global positioning system) positioning position data of a traffic tool from a departure station to a destination station, moving state data and practical time consumption data from the departure station to the destination station; judging whether the distance between the GPS positioning position and the destination station is in a first preset ring or not; judging whether the moving state is in a parking state or not; judging whether the difference value of the actual time consumption and the predicted time consumption from the departure station to the destination station is in a second preset range or not; if the three judging results are all YES, performing station arriving reminding; otherwise, using a data analysis model to analyze the collected data, and determining whether to perform the station arriving reminding or not according to the analysis result. The traffic tool station arriving reminding method has the advantages that by collecting and analyzing the GPS positioning position data, the moving state data and the practical time consumption data, whether the station is arrived or not can be precisely judged, so that the more precise station arriving reminding is realized.
Description
Technical field
The present invention relates to communication technical field, in particular it relates to a kind of vehicles arrive at a station
Based reminding method, system and mobile phone terminal.
Background technology
Existing public transport subway arrival reminding mostly is public transport, MTR in its proprietary network
In carry out broadcast and remind, owing to environment is noisy, passenger is difficult to obtain in time these information,
And there is no the services such as personalized customization prompting.
The most also the arrival reminding service of some personalized customization is occurred in that, existing
Arrival reminding service typically by map and mobile navigation this most single by the way of,
So-called mobile navigation, the most only two kinds: GPS location and architecture.GPS positions
Being the GPS chip by gps satellite locking mobile phone, this is localization method the most accurately,
The distance of one meter can be reached in error theory.The most essentially all of service software is all
GPS navigation can be used.Architecture is then the mobile data acquisition by mobile phone
Base station around user, thus lock the position of user, this error is the biggest, typically
Do not adopt and navigate in this way.
Position this single mode by GPS and can there is certain risk, do as run into signal
Disturb meeting time delay or produce mistake, although it addition, GPS positioning precision in theory is the highest,
But in practical situation, error can be relatively big, generally can reach tens meters such as error, especially in public affairs
Handing in this special screne of subway, owing to speed, position are relative complex, precision is subject to
Impact can be more serious.Therefore, how for taking pubic transport or the passenger of subway provides more
Arrival reminding service promptly and accurately has become current problem demanding prompt solution.
Summary of the invention
The present invention is directed to above-mentioned technical problem present in prior art, it is provided that a kind of traffic
Instrument arrival reminding method, system and mobile phone terminal.This vehicles arrival reminding method
Positioned by collection analysis vehicles GPS during starting station goes to Target Station
Position data and kinestate data, according to GPS location position data, kinestate number
Comprehensive descision, energy is carried out according to whether the vehicles being arrived Target Station with actual used time data
Enough carry out judgement of arriving at a station more accurately, it is achieved thereby that arrival reminding more accurately.
The present invention provides a kind of vehicles arrival reminding method, including:
Gather described vehicles GPS location during starting station goes to Target Station
Position data and kinestate data, and the described vehicles from described starting station to institute
State the actual used time data of Target Station；
Judge that whether the distance between described GPS position location and described Target Station is
In one preset range；
Judge whether described kinestate is in dead ship condition；
Judge from the anticipated used time of described starting station to described Target Station and described actual use
Time difference whether in the second preset range；
When above three judged result be time, carry out arrival reminding；Otherwise, use
Data Analysis Model is to described GPS location position data, described kinestate data and institute
State actual used time data to be analyzed, determine whether that carrying out arrives at a station according to analysis result and carry
Wake up.
Preferably, described Data Analysis Model is R=m*a%+n*b%+k* (1-c%)；
Wherein, a% is the probability that described GPS position location arrives described Target Station, a%=1-
Not the described GPS position location in described first preset range and described Target Station it
Between the distance of distance/between described starting station and described Target Station；
B% is the probability that described kinestate is in normal dead ship condition, and b%=1-is abnormal
The dead ship condition persistent period that situation causes/described anticipated used time；Described abnormal conditions bag
Include traffic congestion, run into red light and road service system；
C% is the error of described anticipated used time and described actual used time, c%=| described anticipated
Used time-described actual used time |/described anticipated the used time；
M is the weight shared by probability that described GPS position location arrives described Target Station；
N is the weight that described kinestate is in shared by the probability of normal dead ship condition；K is
Anticipated used time described in 1-and the weight shared by error of described actual used time；
M+n+k=1；M, n and k are all higher than 0 and less than 1.
Preferably, described employing Data Analysis Model to described GPS location position data,
Described kinestate data and actual used time data are analyzed, true according to analysis result
Determine whether carry out arrival reminding to include:
Described R is calculated according to described Data Analysis Model；
Judge whether described R is more than and set threshold value, if it is, carry out arrival reminding；
If it is not, then do not carry out arrival reminding.
Preferably, also include: receive user's feedback information to arrival reminding；
According to described feedback information to described setting threshold value and/or described Data Analysis Model
In weight parameter be modified.
The present invention also provides for a kind of vehicles arrival reminding system, including:
Acquisition module, is used for gathering the described vehicles and goes to Target Station process from starting station
In GPS location position data and kinestate data, and the described vehicles are from institute
State the starting station actual used time data to described Target Station；
First judge module, be used for judging described GPS position location and described Target Station it
Between distance whether in the first preset range；
Second judge module, is used for judging whether described kinestate is in dead ship condition；
3rd judge module, for judging estimating from described starting station to described Target Station
Whether the difference of used time and described actual used time is in the second preset range；
Analyze module, for described first judge module, described second judge module and
When the judged result of described 3rd judge module is no, use Data Analysis Model to institute
State GPS location position data, described kinestate data and described actual used time data to enter
Row is analyzed；
Prompting module, for according to described first judge module, described second judge module
Enter with the judged result of described 3rd judge module and the analysis result of described analysis module
Row arrival reminding.
Preferably, described Data Analysis Model is R=m*a%+n*b%+k* (1-c%)；
Wherein, a% is the probability that described GPS position location arrives described Target Station, a%=1-
Not the described GPS position location in described first preset range and described Target Station it
Between the distance of distance/between described starting station and described Target Station；
B% is the probability that described kinestate is in normal dead ship condition, and b%=1-is abnormal
The dead ship condition persistent period that situation causes/described anticipated used time；Described abnormal conditions bag
Include traffic congestion, run into red light and road service system；
C% is the error of described anticipated used time and described actual used time, c%=| described anticipated
Used time-described actual used time |/described anticipated the used time；
M is the weight shared by probability that described GPS position location arrives described Target Station；
N is the weight that described kinestate is in shared by the probability of normal dead ship condition；K is
Anticipated used time described in 1-and the weight shared by error of described actual used time；
M+n+k=1；M, n and k are all higher than 0 and less than 1；
Described analysis module includes: computing unit and judging unit；
Described computing unit is for calculating described R according to described Data Analysis Model；
Described judging unit is used for judging that whether described R is more than setting threshold value.
Preferably, also include: receiver module, for receiving anti-to arrival reminding of user
Feedforward information；
Correcting module, is used for according to described feedback information described setting threshold value and/or institute
The weight parameter stated in Data Analysis Model is modified.
Preferably, described prompting module include sound prompting unit, note reminding unit and
/ or vibrating alert unit.
The present invention also provides for a kind of mobile phone terminal, including above-mentioned vehicles arrival reminding system
System.
Beneficial effects of the present invention: vehicles arrival reminding side provided by the present invention
Method, by collection analysis vehicles GPS during starting station goes to Target Station
Location position data and kinestate data, and the actual use from starting station to Target Station
Time data, according to GPS location position data, kinestate data and actual used time data
Whether the vehicles are arrived Target Station and carries out comprehensive descision, it is possible to carry out more accurately
Arrive at a station judgement, it is achieved thereby that arrival reminding more accurately.
Vehicles arrival reminding system provided by the present invention, it is possible to realize and above-mentioned friendship
The technique effect that logical instrument arrival reminding method is identical.
Mobile phone terminal provided by the present invention, by using above-mentioned vehicles arrival reminding
System, is not only able to realize arrival reminding, and can carry out arriving at a station more accurately carrying
Wake up.
Accompanying drawing explanation
Fig. 1 is the flow chart of vehicles arrival reminding method in the embodiment of the present invention 1；
Fig. 2 is the flow chart of vehicles arrival reminding method in the embodiment of the present invention 2；
Fig. 3 is the flow chart of step 6 in the embodiment of the present invention 2；
Fig. 4 is the principle frame of vehicles arrival reminding system in the embodiment of the present invention 3
Figure；
Fig. 5 is the principle frame of vehicles arrival reminding system in the embodiment of the present invention 4
Figure.
Description of reference numerals therein:
1. acquisition module；2. the first judge module；3. the second judge module；4. the 3rd sentences
Disconnected module；5. analyze module；51. computing units；52. judging units；6. prompting module；
7. receiver module；8. correcting module.
Detailed description of the invention
For making those skilled in the art be more fully understood that technical scheme, below
In conjunction with the drawings and specific embodiments, a kind of vehicles provided by the present invention are arrived at a station
Based reminding method, system and mobile phone terminal are described in further detail.
Embodiment 1:
The present embodiment provides a kind of vehicles arrival reminding method, as it is shown in figure 1, bag
Include:
Step S1: gather vehicles GPS during starting station goes to Target Station
Location position data and kinestate data, and the vehicles are from starting station to Target Station
Actual used time data.
Step S2: judge that whether the distance between GPS position location and Target Station is
In one preset range.
Step S3: judge whether kinestate is in dead ship condition.
Step S4: judge the anticipated used time from starting station to Target Station and actual used time
Whether difference is in the second preset range.
When above three judged result be time, perform step S5: carrying out arrives at a station carries
Wake up.Otherwise, step S6 is performed: use Data Analysis Model to GPS position location number
It is analyzed according to, kinestate data and actual used time data, determines according to analysis result
Whether carry out arrival reminding.
The vehicles arrival reminding method that the present embodiment is provided, is handed over by collection analysis
Lead to instrument GPS location position data during starting station goes to Target Station and motion
Status data, and the actual used time data from starting station to Target Station, according to GPS
Whether the vehicles are arrived by location position data, kinestate data and actual used time data
Reach Target Station and carry out comprehensive descision, it is possible to carry out judgement of arriving at a station more accurately, thus real
Show arrival reminding more accurately.
Embodiment 2:
The present embodiment provides a kind of vehicles arrival reminding method, as in figure 2 it is shown, bag
Include:
Step S1: gather vehicles GPS during starting station goes to Target Station
Location position data and kinestate data, and the vehicles are from starting station to Target Station
Actual used time data.
In this step, as the vehicles begin to gather GPS location from starting station one
Position data and kinestate data, accumulation simultaneously calculates the reality from starting station to Target Station
Border used time data.
Step S2: judge that whether the distance between GPS position location and Target Station is
In one preset range.
In this step, the first preset range rule of thumb data setting.
Step S3: judge whether kinestate is in dead ship condition.
In this step, can judge that the kinestate of the vehicles is with Negotiation speed sensor
No it is in dead ship condition.
Step S4: judge the anticipated used time from starting station to Target Station and actual used time
Whether difference is in the second preset range.
In this step, the second preset range rule of thumb data setting.
When above three judged result be time, perform step S5: carrying out arrives at a station carries
Wake up.Otherwise, step S6 is performed: use Data Analysis Model to GPS position location number
It is analyzed according to, kinestate data and actual used time data, determines according to analysis result
Whether carry out arrival reminding.
In step S6, Data Analysis Model is R=m*a%+n*b%+k* (1-c%)；Wherein,
A% is the probability that GPS position location arrives Target Station, and a%=1-is not in the first preset range
The interior distance between GPS position location and Target Station/between starting station and Target Station
Distance.B% is the probability that kinestate is in normal dead ship condition, b%=1-exception feelings
The dead ship condition persistent period that condition causes/anticipated used time；Abnormal conditions include traffic congestion,
Run into red light and road service system.C% is the error of anticipated used time and actual used time, c%=|
Anticipated used time-actual used time |/anticipated the used time.M is that GPS position location arrives Target Station
The weight shared by probability；N is the probability institute that kinestate is in normal dead ship condition
The weight accounted for；K is the weight shared by error that 1-estimates used time and actual used time；m+n
+ k=1；M, n and k are all higher than 0 and less than 1.
Step S6 specifically includes: as it is shown on figure 3,
Step S61: calculate R according to Data Analysis Model.
Step S62: judge that whether R is more than setting threshold value；In this step, set threshold value
Rule of thumb data setting.
If it is, perform step S63: carry out arrival reminding；If it is not, then perform
Step S64: do not carry out arrival reminding.
By above-mentioned Data Analysis Model, it is possible to multi-channelly gather and analytical data, from
And can judge more accurately whether arriving at a station, and then realize arriving more accurately
Stand prompting.
In the present embodiment, as in figure 2 it is shown, vehicles arrival reminding method also includes:
Step S7: receive user's feedback information to arrival reminding.
Step S8: according to feedback information to the power in setting threshold value and Data Analysis Model
Weight parameter is modified.
In this step, it is also possible to only the one of which set in threshold value and weight parameter is entered
Row is revised.Correction to setting threshold value, after terminating such as certain arrival reminding, user is anti-
Feedback " arrival reminding is too early ", now can suitably tune up setting threshold value；If user is anti-
Feedback " is arrived at a station and is reminded not yet ", can suitably setting threshold value be turned down.
Correction to weight parameter (m, n and k), either arrival reminding is the most still
Arrival reminding too late, or arrive at a station, the correction major embodiment to weight parameter by correct prompting
In step S2-step S4, three kinds of judged results is inconsistent, step after such as arriving at a station
Judged result in S2 and step S3 is all within normal range, and sentencing in step S4
Disconnected result not within normal range, then weight parameter k in main set-up procedure S4,
As suitably reduced the value of weight parameter k in step S4, heighten m and n accordingly simultaneously
Value；The like, which mistake in three judged results in step S2-step S4
Difference is relatively big, just suitably suitably reduces the weight parameter in which step, simultaneously to judgement
Weight parameter in the step that in result, error is less is suitably heightened.
The beneficial effect of embodiment 1-2: the vehicles provided in embodiment 1-2 arrive
Stand based reminding method, by the collection analysis vehicles during starting station goes to Target Station
GPS location position data and kinestate data, and from starting station to Target Station
Actual used time data, according to GPS location position data, kinestate data and actual use
Time data whether the vehicles arrived Target Station carry out comprehensive descision, it is possible to more accurate
Ground carries out judgement of arriving at a station, it is achieved thereby that arrival reminding more accurately.
Embodiment 3:
The present embodiment provides a kind of vehicles arrival reminding system, as shown in Figure 4, bag
Include: acquisition module 1, be used for gathering the vehicles during starting station goes to Target Station
GPS location position data and kinestate data, and the vehicles from starting station to
The actual used time data of Target Station.First judge module 2, is used for judging GPS sprocket bit
Put the distance between Target Station whether in the first preset range.Second judge module
3, it is used for judging whether kinestate is in dead ship condition.3rd judge module 4, uses
Whether exist in the difference judging the anticipated used time from starting station to Target Station and actual used time
In second preset range.Analyze module 5, at the first judge module 2, second sentence
When the judged result of disconnected module 3 and the 3rd judge module 4 is no, use data analysis
GPS location position data, kinestate data and actual used time data are carried out point by model
Analysis.Prompting module 6, for according to first judge module the 2, second judge module 3 and
The analysis result of the judged result of the 3rd judge module 4 and analysis module 5 carries out arriving at a station carrying
Wake up.
By arrange acquisition module the 1, first judge module the 2, second judge module 3,
3rd judge module 4 and analysis module 5, it is possible to collection analysis GPS location position data,
Kinestate data and actual used time data, thus carry out whether arriving at a station more accurately
Judge, and then achieve arrival reminding more accurately.
In the present embodiment, Data Analysis Model is R=m*a%+n*b%+k* (1-c%)；Its
In, a% is the probability that GPS position location arrives Target Station, and a%=1-does not presets first
In the range of GPS position location and Target Station between distance/starting station and Target Station it
Between distance；B% is the probability that kinestate is in normal dead ship condition, b%=1-
The dead ship condition persistent period that abnormal conditions cause/anticipated used time；Abnormal conditions include handing over
Logical block up, run into red light and road service system；C% is the error of anticipated used time and actual used time,
C%=| anticipated used time-actual used time |/anticipated used time；M is that GPS position location arrives
Weight shared by the probability of Target Station；N is that kinestate is in normal dead ship condition
Weight shared by probability；K is the power shared by error that 1-estimates used time and actual used time
Weight；M+n+k=1；M, n and k are all higher than 0 and less than 1.Analyze module 5 to include:
Computing unit 51 and judging unit 52；Computing unit 51 is for according to data analysis mould
Type calculates R.Judging unit 52 is used for judging that whether R is more than setting threshold value.
In the present embodiment, prompting module 6 includes sound prompting unit, note reminding unit
With vibrating alert unit.
It should be noted that prompting module 6 can also only include sound prompting unit, short
One of them of letter reminding unit and vibrating alert unit.
Embodiment 4:
The present embodiment provides a kind of vehicles arrival reminding system, different from embodiment 3
, as it is shown in figure 5, the base of vehicles arrival reminding system in embodiment 3
On plinth, the system for prompting in the present embodiment also includes: receiver module 7, is used for receiving use
The family feedback information to arrival reminding.Correcting module 8, is used for according to feedback information setting
The weight parameter determined in threshold value and Data Analysis Model is modified.
It should be noted that correcting module 8 can also be only to setting threshold value and weight parameter
One of them be modified.
The beneficial effect of embodiment 3-4: the vehicles that embodiment 3-4 is provided arrive at a station
System for prompting, by arrange acquisition module, the first judge module, the second judge module,
3rd judge module and analysis module, it is possible to the collection analysis vehicles go to from starting station
GPS location position data during Target Station and kinestate data, and follow
Stand the actual used time data of Target Station, according to GPS location position data, kinestate
Whether data and actual used time data arrive Target Station to the vehicles carries out comprehensive descision,
Judgement of arriving at a station can be carried out more accurately, carry it is achieved thereby that arrive at a station more accurately
Wake up.
Embodiment 5:
The present embodiment provides a kind of mobile phone terminal, including embodiment 3-4 in any one
Vehicles arrival reminding system.
By using embodiment 3-4 vehicles arrival reminding system in any one,
Make this mobile phone terminal be not only able to realize arrival reminding, and can carry out more accurately
Arrival reminding.
It is understood that the principle that embodiment of above is intended to be merely illustrative of the present
And the illustrative embodiments used, but the invention is not limited in this.For ability
For those of ordinary skill in territory, in the situation without departing from spirit and substance of the present invention
Under, various modification and improvement can be made, these modification and improvement are also considered as the present invention's
Protection domain.
Claims (9)
1. a vehicles arrival reminding method, it is characterised in that including:
Gather described vehicles GPS location during starting station goes to Target Station
Position data and kinestate data, and the described vehicles from described starting station to institute
State the actual used time data of Target Station；
Judge that whether the distance between described GPS position location and described Target Station is
In one preset range；
Judge whether described kinestate is in dead ship condition；
Judge from the anticipated used time of described starting station to described Target Station and described actual use
Time difference whether in the second preset range；
When above three judged result be time, carry out arrival reminding；Otherwise, use
Data Analysis Model is to described GPS location position data, described kinestate data and institute
State actual used time data to be analyzed, determine whether that carrying out arrives at a station according to analysis result and carry
Wake up.
Vehicles arrival reminding method the most according to claim 1, its feature
Being, described Data Analysis Model is R=m*a%+n*b%+k* (1-c%)；
Wherein, a% is the probability that described GPS position location arrives described Target Station, a%=1-
Not the described GPS position location in described first preset range and described Target Station it
Between the distance of distance/between described starting station and described Target Station；
B% is the probability that described kinestate is in normal dead ship condition, and b%=1-is abnormal
The dead ship condition persistent period that situation causes/described anticipated used time；Described abnormal conditions bag
Include traffic congestion, run into red light and road service system；
C% is the error of described anticipated used time and described actual used time, c%=| described anticipated
Used time-described actual used time |/described anticipated the used time；
M is the weight shared by probability that described GPS position location arrives described Target Station；
N is the weight that described kinestate is in shared by the probability of normal dead ship condition；K is
Anticipated used time described in 1-and the weight shared by error of described actual used time；
M+n+k=1；M, n and k are all higher than 0 and less than 1.
Vehicles arrival reminding method the most according to claim 2, its feature
Being, described employing Data Analysis Model is to described GPS location position data, described fortune
Dynamic status data and actual used time data are analyzed, and determine whether according to analysis result
Carry out arrival reminding to include:
Described R is calculated according to described Data Analysis Model；
Judge whether described R is more than and set threshold value, if it is, carry out arrival reminding；
If it is not, then do not carry out arrival reminding.
Vehicles arrival reminding method the most according to claim 3, its feature
It is, also includes: receive user's feedback information to arrival reminding；
According to described feedback information to described setting threshold value and/or described Data Analysis Model
In weight parameter be modified.
5. a vehicles arrival reminding system, it is characterised in that including:
Acquisition module, is used for gathering the described vehicles and goes to Target Station process from starting station
In GPS location position data and kinestate data, and the described vehicles are from institute
State the starting station actual used time data to described Target Station；
First judge module, be used for judging described GPS position location and described Target Station it
Between distance whether in the first preset range；
Second judge module, is used for judging whether described kinestate is in dead ship condition；
3rd judge module, for judging estimating from described starting station to described Target Station
Whether the difference of used time and described actual used time is in the second preset range；
Analyze module, for described first judge module, described second judge module and
When the judged result of described 3rd judge module is no, use Data Analysis Model to institute
State GPS location position data, described kinestate data and described actual used time data to enter
Row is analyzed；
Prompting module, for according to described first judge module, described second judge module
Enter with the judged result of described 3rd judge module and the analysis result of described analysis module
Row arrival reminding.
Vehicles arrival reminding system the most according to claim 5, its feature
Being, described Data Analysis Model is R=m*a%+n*b%+k* (1-c%)；
Wherein, a% is the probability that described GPS position location arrives described Target Station, a%=1-
Not the described GPS position location in described first preset range and described Target Station it
Between the distance of distance/between described starting station and described Target Station；
B% is the probability that described kinestate is in normal dead ship condition, and b%=1-is abnormal
The dead ship condition persistent period that situation causes/described anticipated used time；Described abnormal conditions bag
Include traffic congestion, run into red light and road service system；
C% is the error of described anticipated used time and described actual used time, c%=| described anticipated
Used time-described actual used time |/described anticipated the used time；
M is the weight shared by probability that described GPS position location arrives described Target Station；
N is the weight that described kinestate is in shared by the probability of normal dead ship condition；K is
Anticipated used time described in 1-and the weight shared by error of described actual used time；
M+n+k=1；M, n and k are all higher than 0 and less than 1；
Described analysis module includes: computing unit and judging unit；
Described computing unit is for calculating described R according to described Data Analysis Model；
Described judging unit is used for judging that whether described R is more than setting threshold value.
Vehicles arrival reminding system the most according to claim 6, its feature
It is, also includes: receiver module, for receiving user's feedback information to arrival reminding；
Correcting module, is used for according to described feedback information described setting threshold value and/or institute
The weight parameter stated in Data Analysis Model is modified.
Vehicles arrival reminding system the most according to claim 1, its feature
Being, described prompting module includes sound prompting unit, note reminding unit and/or shakes
Dynamic reminding unit.
9. a mobile phone terminal, it is characterised in that include that claim 5-8 is any one
Vehicles arrival reminding system described in Xiang.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610438612.8A CN105872263B (en) | 2016-06-17 | 2016-06-17 | A kind of vehicles arrival reminding method, system and mobile phone terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610438612.8A CN105872263B (en) | 2016-06-17 | 2016-06-17 | A kind of vehicles arrival reminding method, system and mobile phone terminal |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105872263A true CN105872263A (en) | 2016-08-17 |
| CN105872263B CN105872263B (en) | 2019-06-07 |
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| CN201610438612.8A Active CN105872263B (en) | 2016-06-17 | 2016-06-17 | A kind of vehicles arrival reminding method, system and mobile phone terminal |
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Cited By (1)
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| CN108093131A (en) * | 2017-12-13 | 2018-05-29 | 广东欧珀移动通信有限公司 | Arrival reminding method, apparatus, storage medium and mobile terminal |
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| CN204557804U (en) * | 2015-05-11 | 2015-08-12 | 宁波萨瑞通讯有限公司 | A kind of vehicle arrival reminding system |
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| CN105872263B (en) | 2019-06-07 |
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