CN105632222A - Method and system for predicting station arrival time - Google Patents
Method and system for predicting station arrival time Download PDFInfo
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Abstract
The invention belongs to the public transport field and discloses a method and system for predicting station arrival time. A plurality of index points are preset in bus driving paths. A driving time empirical value table of time by which index points on the same bus driving path arrive at index points corresponding to station sites at various time periods are pre-stored in the system. The method includes the following steps that: the coordinates of a bus real-time positioning trajectory point and a bus driving direction are acquired; the bus real-time positioning trajectory point is mapped to a corresponding index point, and is adopted as a current index point; the driving time empirical value table is correspondingly queried, time required by a bus to drive from the current index point to an index point corresponding to a predicted station in the bus driving direction in a time period to which a current time point belongs is calculated, and the time, adopted as predicted station arrival time of the bus arriving at the predicted station, is transmitted to a client. The current index point of the bus is determined by using the real-time positioning data, and driving time empirical values are utilized in combination, and therefore, the predicted station arrival time of the bus can be calculated, and accurate station arrival time of the bus can be provided.
Description
Technical field
The present invention relates to public transport technical field, particularly to method and the system thereof of forecast arrival time.
Background technology
The method forecast of at present vehicle being arrived at a station has following several:
One, by artificial actual measurement route actual running time, and relevant parameter is set, calculates vehicle program and arrive the time of next website; Two, the average speed run by current line actual vehicle, is calculated vehicle program and arrives the time of next website.
Above-mentioned first method, there is prerequisite data collecting work loaded down with trivial details, artificial collection measures the condition of road surface that cannot contain various situation, as Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday road conditions just inconsistent, 6:00 AM and 12 noon road conditions are by inconsistent. Above-mentioned second method speed cannot accurately reflect vehicle program time of advent, because it is inconsistent to there is traffic lights, each non-intersection speed, when traffic congestion, speed is 5km/h, and vehicle recovers again 40km/h by speed after stifled point, cause that result of calculation does not fluctuate relatively big, inaccurate.
Summary of the invention
It is an object of the invention to provide a kind of method forecasting arrival time and system thereof, the E.T.A of vehicle is calculated, it is provided that vehicle program arrival time accurately.
For solving above-mentioned technical problem, embodiments of the present invention disclose a kind of method forecasting arrival time, bus travel circuit is preset with multiple index point, the corresponding index point of each website, and have at least an index point between adjacent two websites, being previously stored with running time empirical value table in system, store each index point on each period same bus travel circuit and arrive the time of index point corresponding to website in this running time empirical value table, the method comprises the following steps:
Obtain coordinate and the vehicle heading of vehicle real-time positioning tracing point;
Coordinate according to vehicle real-time positioning tracing point and the coordinate of each index point, be mapped to the index point of correspondence by vehicle real-time positioning tracing point, and using corresponding index point as being presently in index point;
Corresponding inquiry running time empirical value table, calculates at period vehicle belonging to current time from the time needed for the index point being presently in corresponding to the forecast website that index point arrives vehicle heading, as the vehicle program arrival time arriving forecast website;
Vehicle program arrival time is sent to client.
Embodiments of the present invention also disclose a kind of system forecasting arrival time, bus travel circuit is preset with multiple index point, the corresponding index point of each website, and have at least an index point between adjacent two websites, system is previously stored with running time empirical value table, storing each index point on each period same bus travel circuit in this running time empirical value table and arrive the time of index point corresponding to website, this system includes with lower module:
Real-time positioning module, for obtaining coordinate and the vehicle heading of vehicle real-time positioning tracing point;
Mapping block, for the coordinate of the coordinate according to vehicle real-time positioning tracing point and each index point, is mapped to the index point of correspondence by vehicle real-time positioning tracing point, and using corresponding index point as being presently in index point;
Arrival time computing module, running time empirical value table is inquired about for correspondence, calculate at period vehicle belonging to current time from the time needed for the index point being presently in corresponding to the forecast website that index point arrives vehicle heading, as the vehicle program arrival time arriving forecast website;
Sending module, for being sent to client by vehicle program arrival time.
Compared with prior art, the main distinction and effect thereof are in that embodiment of the present invention:
Vehicle is presently in index point to utilize real time positioning data to determine, and arrive the running time empirical value of index point corresponding to website in conjunction with each index point on different time sections bus travel circuit, the E.T.A of vehicle is calculated, it is provided that vehicle program arrival time accurately.
Further, before vehicle real-time positioning tracing point is mapped to the index point of correspondence, first judge that the tracing point of real-time positioning is whether in the fence of bus travel circuit, filters out the tracing point being arranged in fence for forecasting arrival time, improves forecast accuracy.
Further, according to weather condition, running time empirical value table is carried out the book of final entry, further increase the accuracy of forecast arrival time.
Further, when real time running speed is beyond the predetermined ratio of threshold speed, predict arrival time with real-time speed, replace inquiry running time empirical value table, abnormal conditions have been got rid of, has improve prediction accuracy.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of a kind of method forecasting arrival time in first embodiment of the invention;
Fig. 2 is the schematic diagram of the fence in the preferred embodiment of the present invention;
Fig. 3 is the order of classes or grades at school data acquisition schematic diagram in the preferred embodiment of the present invention;
Fig. 4 judges in the preferred embodiment of the present invention that vehicle is currently located the schematic diagram of index point;
Fig. 5 calculates the schematic diagram expecting the station time in the preferred embodiment of the present invention;
Fig. 6 calculates the schematic diagram estimating arrival time of all vehicles on circuit in the preferred embodiment of the present invention;
Fig. 7 is when the User Interface that client is mobile phone A PP Shi Yu reception centre in the preferred embodiment of the present invention;
Fig. 8 is when the User Interface that client is waiting booth display screen Shi Yu reception centre in the preferred embodiment of the present invention;
Fig. 9 is the structural representation of a kind of system forecasting arrival time in four embodiment of the invention.
Detailed description of the invention
In the following description, many ins and outs are proposed in order to make reader be more fully understood that the application. But, it will be understood by those skilled in the art that even without these ins and outs with based on the many variations of following embodiment and amendment, it is also possible to realize the application each claim technical scheme required for protection.
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, embodiments of the present invention are described in further detail.
First embodiment of the invention relates to a kind of method forecasting arrival time, and Fig. 1 is the schematic flow sheet of the method for this forecast arrival time.
The method bus travel circuit of this forecast arrival time is preset with multiple index point, the corresponding index point of each website, and have at least an index point between adjacent two websites, system is previously stored with running time empirical value table, this running time empirical value table stores each index point on each period same bus travel circuit and arrives the time of index point corresponding to website, as it is shown in figure 1, the method comprises the following steps:
Step 101, obtains coordinate and the vehicle heading of vehicle real-time positioning tracing point.
The coordinate of vehicle real-time positioning tracing point can be latitude and longitude coordinates or other can represent the coordinate of tracing point position.
Step 102, the coordinate according to the coordinate of vehicle real-time positioning tracing point and each index point, vehicle real-time positioning tracing point is mapped to the index point of correspondence, and using corresponding index point as being presently in index point.
Step 103, corresponding inquiry running time empirical value table, calculate at period vehicle belonging to current time from the time needed for the index point being presently in corresponding to the forecast website that index point arrives vehicle heading, as the vehicle program arrival time arriving forecast website.
Step 104, is sent to client by vehicle program arrival time.
Client includes bus platform waiting booth display screen, the mobile terminal of passenger, public traffic management terminal etc.
It is appreciated that, running time empirical value table can by processing the actual travel time data of the previous moon, obtain arriving from each index point the running time of each website in different time sections every vehicle line, as in running time empirical value classification storage to running time empirical value table. Such as:
Owing to the rule of people's trip is different, there is among one day early evening peak and low ebb, cause that the operation time of each circuit was distributed in the middle of one day and have difference, therefore can for one day 24 hours, per half an hour was 1 time period, split the actual travel time storing each index point to website.
Additionally, due to working day, Monday to Sunday, the rule of people's trip was different, causes that the operation time of each circuit would also vary from, therefore can do following fractionation pointedly: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday.
Additionally, for the unconventional road block of appearance in certain day, be typically due to what vehicle accident caused, it is necessary to rejecting when proposing empirical value.
Preferably, further comprising the steps of:
On cycle calculations bus travel circuit, all vehicle program arrive the vehicle program arrival time of forecast website;
The relatively expectation arrival time of all vehicles, and using vehicle corresponding for the shortest forecast arrival time as pre-reception centre vehicle;
Forecast arrival time corresponding with vehicle for pre-reception centre vehicle is combined and is sent to client.
Furthermore, it is to be understood that in other embodiments of the present invention, it is contemplated that the vehicle that arrives at a station can also be many, it is contemplated that the expectation arrival time of the vehicle that arrives at a station is shorter in all vehicles.
Present embodiment utilizes real time positioning data to determine, and vehicle is presently in index point, and arrive the running time empirical value of index point corresponding to website in conjunction with each index point on different time sections bus travel circuit, the E.T.A of vehicle is calculated, it is provided that vehicle program arrival time accurately.
Second embodiment of the invention relates to a kind of method forecasting arrival time, second embodiment has improved on the basis of the first embodiment, mainly the improvement is that: before vehicle real-time positioning tracing point is mapped to the index point of correspondence, first judge that the tracing point of real-time positioning is whether in the fence of bus travel circuit, filter out the tracing point being arranged in fence for forecasting arrival time, improve forecast accuracy. Specifically:
Distance between any two index point set in advance is less than distance threshold L, in a step 102, including following sub-step:
The coordinate of the tracing point according to real-time positioning and the coordinate of each index point, calculate the tracing point of real-time positioning and the distance of each index point respectively;
Judge that whether the distance calculated is less than distance threshold L;
If the determination result is YES, then judge that the tracing point of real-time positioning is in the fence of bus travel circuit, and the tracing point of real-time positioning is mapped to this tracing point on minimum index point.
If furthermore, it is to be understood that the distance of the real-time positioning tracing point calculated and each index point both is greater than distance threshold L, then judging that the tracing point of real-time positioning is outside the fence of bus travel circuit, this tracing point is not used in CALCULATING PREDICTION arrival time.
Preferably, the corresponding respective index value of each index point, in a step 101, the step obtaining vehicle heading includes following sub-step: the variation tendency according to the index value of the mapped index point of vehicle real-time positioning tracing point, it is determined that vehicle heading.
Furthermore, it is to be understood that the fence of bus travel circuit includes up fence and descending fence, and the index value ascending order successively arrangement of each index point in up fence and descending fence.
If tracing point P1 and the P2 of two adjacent real-time positioning is in the up fence of bus travel circuit, and the index value of the index value of the mapped index point of the tracing point P1 index point mapped less than P2, then judging that tracing point P1 and the P2 of real-time positioning is as up, the direction that vehicle travels is up direction.
If tracing point P1 and the P2 of two adjacent real-time positioning is in the descending fence of bus travel circuit, and the index value of the index value of the mapped index point of the tracing point P1 index point mapped less than P2, then judging that tracing point P1 and the P2 of real-time positioning is as descending, the direction that vehicle travels is down direction.
Third embodiment of the invention relates to a kind of method forecasting arrival time, 3rd embodiment has improved on the basis of the first embodiment, mainly the improvement is that: according to weather condition, running time empirical value table is carried out the book of final entry, further increase the accuracy of forecast arrival time; When real time running speed is beyond the predetermined ratio of threshold speed, predict arrival time with real-time speed, replace inquiry running time empirical value table, abnormal conditions have been got rid of, has improve prediction accuracy. Specifically:
It is appreciated that weather is rainy day or the time of snowing, the impact of running time is bigger, it is necessary to it to be accounted for and special handling.
Preferably, running time empirical value table is classified always according to weather condition, stores on each period same bus travel circuit each index point in different weather situation and arrive the time of index point corresponding to website in running time empirical value table.
Accordingly preferably, sub-step is included in step 103:
Obtain current weather conditions;
According to the current weather conditions obtained, corresponding inquiry running time empirical value table, calculating in the period belonging to current time and under current weather conditions, vehicle is from the time needed for the index point being presently in corresponding to the forecast website that index point arrives vehicle heading.
Preferably, further comprising the steps of:
Obtain the real time running speed of vehicle, and judge whether real time running speed exceeds the predetermined ratio of threshold speed;
When real time running speed is more than threshold speed predetermined ratio, use the real time running speed calculation forecast arrival time of vehicle.
Furthermore, it is to be understood that when real time running speed is beyond the predetermined ratio of threshold speed, for instance when 30%, use running time empirical value table can not Exact Forecast arrival time, then use real time running prediction of speed arrival time. In another preference, when real time running speed exceeds scheduled duration more than the time of threshold speed predetermined ratio, just use real-time speed prediction arrival time.
Preferred embodiment
Below in conjunction with flow chart, preferred embodiment is illustrated by data acquisition schematic diagram, in a preferred embodiment, mainly include two key steps: one, initialize the route Time Calculation preservation that route actual track travels, by will vehicle actual travel trajectory map to tracks contrast, the correct order of classes or grades at school record gathering route running, including the time of departure, the time of advent, website of dispatching a car, arrive website; Two, according to actual path by the actual travel time classification storage of each website to terminus, and the vehicle program arrival time of each website is calculated in real time.
One, the route Time Calculation preservation that route actual track travels is initialized, by will vehicle actual travel trajectory map to tracks contrast, the correct order of classes or grades at school record gathering route running, including the time of departure, the time of advent, website of dispatching a car, arrive website. Concrete calculating process is as follows:
1, the foundation of circuit actual travel track fence
1) utilize GIS to operate instrument and gather the latitude and longitude information of actual public bus network driving trace, and ensure that the air line distance between former and later two longitudes and latitudes is less than set threshold values L, L can be adjusted according to actual required precision, is generally defaulted as 100 meters. When in location data and the public bus network driving trace of vehicle the distance of any point less than L time then think that this vehicle is to travel in the fence of public bus network. Fence is specifically illustrating as shown in Figure 2:
2) circuit actual travel track is divided into up track, descending track, turnover field track, interval track.
2, positioning data of vehicles up-downgoing trending calculates
1) when real time GPS location data uploaded by vehicle, longitude, latitude are mainly included. First vehicle one is preordained bit data, the time-sequencing according to data acquisition, it is determined that uploads real time GPS location data latitude and longitude coordinates and is followed successively by: tracing point { P1(X1, Y1)��P2(X2, Y2)��P3(X3, Y3)����PN(Xn, Yn)}��
2) by tracing point { P1(X1, Y1)��P2(X2, Y2)��P3(X3, Y3)����PN(Xn, Yn) carry out distance with the tracing point of public bus network driving trace and calculate. Computational methods are as follows: set the longitude of two tracing points, latitude respectively (j1, w1)��(j2, w2), then according to the minimum distance calculation formula of point-to-point transmission on the sphere that radius is R:
Arc C=R*arccos [sin (w1)sin(w2)+cos(w1)cos(w2)*cos(j1-j2)], calculate distance D=R*Arccos (C) * ��/180 �� between two tracing points.
3) with P1Point is example, P1Carry out distance with all tracing points of public bus network driving trace to calculate, work as P1With the distance of the tracing point X of public bus network driving trace less than threshold values L, then think P1In the fence of public bus network driving trace, and record the index value SortId1 meeting the distance tracing point less than threshold values L. Same P2��P3... all of point all judges whether in the fence of public bus network driving trace and the index value SortID of corresponding tracing point.
4) judging vehicle heading, namely real time GPS positions up-downgoing and station, the next stop level of data. Judging that tracing point is up direction or descending direction according to the general trend that vehicle travels, calculation is as follows:
If P1, P2Coexist in up fence, then SortID1<SortID2Then think P1, P2For up.
If P1, P2Coexist in descending fence, then SortID1<SortID2Then think P1, P2For descending.
If P1, P22 conditionals above cannot be met and judge up-downgoing, then bye, waits next step to process.
5) point of not clear and definite up-downgoing is processed according to the point that can specify vehicle heading, calculation:
When meeting PXThe up-downgoing of tracing point clearly, does not then record PxThe up-downgoing trend of front 30 points of tracing point, if Px-30To PxBetween point more than 50% be upstream or downstream, then confirm PxCome clearly according to the direction of point before for trend.
3, vehicle order of classes or grades at school data acquisition
1) order of classes or grades at school collection comes clearly according to the starting and terminal point of vehicle actual path, and that thinks starting and terminal point in system is designated the beginning and the end station, parking lot, tracing point { P1(X1, Y1)��P2(X2, Y2)��P3(X3, Y3)����PN(Xn, Yn) the some needs that meet condition intercept and calculate order of classes or grades at school:
A) the beginning and the end station fence
B) parking lot fence
C) up-downgoing change
2) confirmation of order of classes or grades at school key element, when Px belongs to the beginning and the end station fence, then tracing point 1{P1(X1, Y1)��P2(X2, Y2)��P3(X3, Y3) ... Px (Xx, Yx) } may determine that to be an order of classes or grades at school, P1Acquisition time be the time of departure, the acquisition time of Px is the time of advent, in tracing point 1 thus point the order of classes or grades at school of behavior up and down leave for direction. After order of classes or grades at school has intercepted, next start to judge from Px+1 backward.
3) order of classes or grades at school data acquisition schematic diagram is as shown in Figure 3.
Two, according to actual path, the actual travel time classification of each website to terminus is stored, and calculate the vehicle program arrival time of each website in real time, specifically comprise the following steps that
1, classification of actual running time:
1) chronological classification: among one day, early evening peak, the rule that low ebb is gone on a journey due to people is different, the operation time causing each circuit was distributed in the middle of one day and has difference, system was for one day 24 hours, per half an hour was 1 time period, split the actual travel time storing each website to terminus, and concrete fractionation form is as follows:
00:00-00:30
00:31-01:00
��������
07:00-07:30
��������
23:00-23:30
23:31-00:00
2) date classification: due to working day, Monday to Sunday, owing to the rule of people's trip is different, cause that the operation time of each circuit would also vary from, concrete fractionation form is as follows: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday.
3) website classification: by station to settled station actual running time, split by each website, obtain reaching at each website in same direction the running time of terminus.
2, the actual travel time of every circuit of system full automatic treatment
1) system automatically processes the actual travel time data of every circuit previous moon every day, with a month surrounding, Monday data instance: circuit 1, play station for A, settled station B, wherein through 5 websites: A1, A2, A3, A4, A5. It is as shown in table 1 below that system stores actual running time:
| A-B | A1-B | A2-B | A3-B | A4-B | A5-B | |
| 0:00-0:29 | X | |||||
| 0:30-0:59 | X | 10 | ||||
| �������� | ||||||
| 8:30-8:59 | ||||||
| �������� | ||||||
| 23:00-23:29 | ||||||
| 23:30-23:59 | 15 |
Table 1
Note: X is certain actual run time of standing to terminal of standing, from the empirical value that the actual running time of the previous moon each Monday extracts.
2) for the unconventional road block of appearance in certain day, it is necessary to keep a record in systems, and reject when proposing empirical value, generally this all owing to vehicle accident causes.
3, the vehicle program arrival time of each website is calculated in real time.
1) vehicle real time positioning data is obtained: include vehicle heading, longitude and latitude.
2) by positioning data of vehicles, it is mapped to the index point on tracks, it is judged that method is as follows:
Tracing point { P by tracing point P (X, Y) Yu the up track of public bus network1(X1, Y1)��P2(X2, Y2)��P3(X3, Y3)����PN(Xn, Yn) it is circulated distance calculating. Computational methods are as follows:
If the longitude of two tracing points, latitude respectively (j1, w1)��(j2, w2), then according to the minimum distance calculation formula of point-to-point transmission on the sphere that radius is R:
Arc C=R*arccos [sin (w1)sin(w2)+cos(w1)cos(w2)*cos(j1-j2)], calculate distance D=R*Arccos (C) * ��/180 �� between two tracing points.
When obtaining first tracing point P and certain point P on tracksxDistance less than 100 meters time, then it is assumed that the location point of the currently processed circuit of vehicle is Px, it is illustrated in figure 4 the schematic diagram judging that vehicle is currently located index point.
3), after judging that vehicle is currently located place on line, calculate vehicle program and arrive at a station the position of website.
Vehicle is between website A1 and A2 at present, will set current time as 7:21, then vehicle program arrives the expectation arrival time n=Y+X at B station, is illustrated in figure 5 and calculates the schematic diagram estimating arrival time.
Design parameter computational methods:
The empirical value at the A2-B station between X=7:00 to 7:29.
Y=L/S.
L is PxWith the distance=P before A2x��������Py2Between 2 of all tracing points distance sums.
S is the running time of distance/A1 to the A2 between speed=A1 and A2.
Distance=P between A1 and A2y1��������Py2Between 2 of all tracing points distance sums.
The running time of A1 to A2=(empirical value at A1-B station)-(empirical value at A2-B station).
4) all vehicle V on cycle calculations circuit1��V2��V3Expectation arrive at a station B station expectation arrival time n1��n2��n3, as shown in Figure 6, and the vehicle of the minimal time that expectation arrived at a station is as the vehicle that will arrive at a station recently, result of calculation is stored, including line name, direction, site name, license number, expectation arrival time.
5) all websites of cycle calculations, and arrive at a station vehicle, time of the expectation of each website is pushed to client application. When client is mobile phone A PP, the User Interface of pre-reception centre is as it is shown in fig. 7, when client is waiting booth display screen, the User Interface of pre-reception centre is as shown in Figure 8.
Each method embodiment of the present invention all can realize in modes such as software, hardware, firmwares. no matter the present invention realizes with software, hardware or firmware mode, instruction code may be stored in the addressable memorizer of any kind of computer (such as permanent or revisable, volatibility or non-volatile, solid-state or non-solid, fixing or removable medium etc.). equally, memorizer can be such as programmable logic array (ProgrammableArrayLogic, it is called for short " PAL "), random access memory (RandomAccessMemory, it is called for short " RAM "), programmable read only memory (ProgrammableReadOnlyMemory, it is called for short " PROM "), read only memory (Read-OnlyMemory, it is called for short " ROM "), Electrically Erasable Read Only Memory (ElectricallyErasableProgrammableROM, it is called for short " EEPROM "), disk, CD, digital versatile disc (DigitalVersatileDisc, it is called for short " DVD ") etc.
Four embodiment of the invention relates to a kind of system forecasting arrival time, and Fig. 9 is the structural representation of the system of this forecast arrival time. The system bus travel circuit of this forecast arrival time is preset with multiple index point, the corresponding index point of each website, and have at least an index point between adjacent two websites, system is previously stored with running time empirical value table, storing each index point on each period same bus travel circuit in this running time empirical value table and arrive the time of index point corresponding to website, this system includes with lower module:
Real-time positioning module, for obtaining coordinate and the vehicle heading of vehicle real-time positioning tracing point;
Mapping block, for the coordinate of the coordinate according to vehicle real-time positioning tracing point and each index point, is mapped to the index point of correspondence by vehicle real-time positioning tracing point, and using corresponding index point as being presently in index point;
Arrival time computing module, running time empirical value table is inquired about for correspondence, calculate at period vehicle belonging to current time from the time needed for the index point being presently in corresponding to the forecast website that index point arrives vehicle heading, as the vehicle program arrival time arriving forecast website;
Sending module, for being sent to client by vehicle program arrival time.
Preferably, arrival time computing module is additionally operable on cycle calculations bus travel circuit all vehicle program and arrives the vehicle program arrival time of forecast website, and the expectation arrival time of relatively all vehicles, and using vehicle corresponding for the shortest forecast arrival time as pre-reception centre vehicle.
Preferably, sending module is additionally operable to combine forecast arrival time corresponding with vehicle for pre-reception centre vehicle be sent to client.
Present embodiment utilizes real time positioning data to determine, and vehicle is presently in index point, and arrive the running time empirical value of index point corresponding to website in conjunction with each index point on different time sections bus travel circuit, the E.T.A of vehicle is calculated, it is provided that vehicle program arrival time accurately.
First embodiment is the method embodiment corresponding with present embodiment, and present embodiment can be worked in coordination enforcement with the first embodiment. The relevant technical details mentioned in first embodiment is still effective in the present embodiment, in order to reduce repetition, repeats no more here. Correspondingly, the relevant technical details mentioned in present embodiment is also applicable in the first embodiment.
Fifth embodiment of the invention relates to a kind of system forecasting arrival time, 5th embodiment has improved on the basis of the 4th embodiment, mainly the improvement is that: before vehicle real-time positioning tracing point is mapped to the index point of correspondence, first judge that the tracing point of real-time positioning is whether in the fence of bus travel circuit, filter out the tracing point being arranged in fence for forecasting arrival time, improve forecast accuracy. Specifically:
Distance between any two index point set in advance, less than distance threshold L, includes following submodule at mapping block:
Distance calculating sub module, is used for the coordinate of the tracing point according to real-time positioning and the coordinate of each index point, calculates the tracing point of real-time positioning and the distance of each index point respectively;
Threshold decision submodule, for judging that whether the distance calculated is less than distance threshold L;
Index point chooses submodule, for if it is judged that be yes, then judging that the tracing point of real-time positioning is in the fence of bus travel circuit, and be mapped to by the tracing point of real-time positioning with this tracing point on minimum index point.
Preferably, the corresponding respective index value of each index point, the variation tendency in real-time positioning module, when obtaining vehicle heading, according to the index value of the mapped index point of vehicle real-time positioning tracing point, it is determined that vehicle heading.
Second embodiment is the method embodiment corresponding with present embodiment, and present embodiment can be worked in coordination enforcement with the second embodiment. The relevant technical details mentioned in second embodiment is still effective in the present embodiment, in order to reduce repetition, repeats no more here. Correspondingly, the relevant technical details mentioned in present embodiment is also applicable in the second embodiment.
Sixth embodiment of the invention relates to a kind of system forecasting arrival time, 6th embodiment has improved on the basis of the 4th embodiment, mainly the improvement is that: according to weather condition, running time empirical value table is carried out the book of final entry, further increase the accuracy of forecast arrival time; When real time running speed is beyond the predetermined ratio of threshold speed, predict arrival time with real-time speed, replace inquiry running time empirical value table, abnormal conditions have been got rid of, has improve prediction accuracy. Specifically:
Preferably, running time empirical value table is classified always according to weather condition, stores on each period same bus travel circuit each index point in different weather situation and arrive the time of index point corresponding to website in running time empirical value table.
Accordingly preferably, arrival time computing module is additionally operable to obtain current weather conditions, and according to the current weather conditions obtained, corresponding inquiry running time empirical value table, calculating in the period belonging to current time and under current weather conditions, vehicle is from the time needed for the index point being presently in corresponding to the forecast website that index point arrives vehicle heading.
Preferably, also include speed measuring module, for obtaining the real time running speed of vehicle, and judge whether real time running speed exceeds the predetermined ratio of threshold speed. When arrival time computing module is when real time running speed is more than threshold speed predetermined ratio, use the real time running speed calculation forecast arrival time of vehicle.
3rd embodiment is the method embodiment corresponding with present embodiment, and present embodiment can be worked in coordination enforcement with the 3rd embodiment. The relevant technical details mentioned in 3rd embodiment is still effective in the present embodiment, in order to reduce repetition, repeats no more here. Correspondingly, the relevant technical details mentioned in present embodiment is also applicable in the 3rd embodiment.
It should be noted that, the each module mentioned in the present invention each equipment embodiment is all logic module, physically, one logic module can be a physical module, it can also be a part for a physical module, can also realizing with the combination of multiple physical modules, the Physical realization of these logic modules itself is not most important, and the combination of the function that these logic modules realize is only the key solving technical problem proposed by the invention. Additionally, for the innovative part highlighting the present invention, the module less close with solving technical problem relation proposed by the invention is not introduced by the above-mentioned each equipment embodiment of the present invention, and this is not intended that the said equipment embodiment and is absent from other module.
It should be noted that, in the claim and description of this patent, the relational terms of such as first and second or the like is used merely to separate an entity or operation with another entity or operating space, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially. And, term " includes ", " comprising " or its any other variant are intended to comprising of nonexcludability, so that include the process of a series of key element, method, article or equipment not only include those key elements, but also include other key elements being not expressly set out, or also include the key element intrinsic for this process, method, article or equipment. When there is no more restriction, statement " including " key element limited, it is not excluded that there is also other identical element in including the process of described key element, method, article or equipment.
Although by referring to some of the preferred embodiment of the invention, the present invention is shown and described, but it will be understood by those skilled in the art that and in the form and details it can be done various change, without departing from the spirit and scope of the present invention.
Claims (10)
1. the method forecasting arrival time, it is characterized in that, bus travel circuit is preset with multiple index point, the corresponding index point of each website, and have at least an index point between adjacent two websites, being previously stored with running time empirical value table in system, store each index point on each period same bus travel circuit and arrive the time of index point corresponding to website in this running time empirical value table, the method comprises the following steps:
Obtain coordinate and the vehicle heading of vehicle real-time positioning tracing point;
Coordinate according to described vehicle real-time positioning tracing point and the coordinate of described each index point, be mapped to the index point of correspondence by vehicle real-time positioning tracing point, and using the index point of described correspondence as being presently in index point;
The described running time empirical value table of corresponding inquiry, calculate at period vehicle belonging to current time from the time needed for the index point being presently in corresponding to the forecast website that index point arrives described vehicle heading, as the vehicle program arrival time arriving forecast website;
Described vehicle program arrival time is sent to client.
2. the method for forecast arrival time according to claim 1, it is characterised in that the distance between any two index point set in advance is less than distance threshold L;
Described " coordinate according to the coordinate of described vehicle real-time positioning tracing point and described each index point; vehicle real-time positioning tracing point is mapped to correspondence index point; and using the index point of described correspondence as being presently in index point " step in, including following sub-step:
The coordinate of the tracing point according to described real-time positioning and the coordinate of described each index point, calculate the tracing point of real-time positioning and the distance of each index point respectively;
Judge that whether the distance calculated is less than described distance threshold L;
If the determination result is YES, then judge that the tracing point of described real-time positioning is in the fence of bus travel circuit, and the tracing point of described real-time positioning is mapped to this tracing point on minimum index point.
3. the method for forecast arrival time according to claim 1, it is characterized in that, described running time empirical value table is classified always according to weather condition, stores on each period same bus travel circuit each index point in different weather situation and arrive the time of index point corresponding to website in running time empirical value table;
In the step of described " corresponding inquiring about described running time empirical value table, calculate at period vehicle belonging to current time from the time needed for the index point being presently in corresponding to the forecast website that index point arrives described vehicle heading ", including sub-step:
Obtain current weather conditions;
Current weather conditions according to described acquisition, the described running time empirical value table of corresponding inquiry, calculating in the period belonging to current time and under current weather conditions, vehicle is from the time needed for the index point being presently in corresponding to the forecast website that index point arrives described vehicle heading.
4. the method for forecast arrival time according to claim 1, it is characterised in that further comprising the steps of:
Obtain the real time running speed of vehicle, and judge whether real time running speed exceeds the predetermined ratio of threshold speed;
When real time running speed is more than threshold speed predetermined ratio, use the real time running speed calculation forecast arrival time of vehicle.
5. the method for forecast arrival time according to claim 1, it is characterised in that the corresponding respective index value of described each index point;
In the step of described " obtaining coordinate and the vehicle heading of vehicle real-time positioning tracing point ", the step of described acquisition vehicle heading includes following sub-step:
The variation tendency of the index value according to the mapped index point of described vehicle real-time positioning tracing point, it is determined that vehicle heading.
6. the method for forecast arrival time according to claim 1, it is characterised in that further comprise the steps of:
On cycle calculations bus travel circuit, all vehicle program arrive the vehicle program arrival time of forecast website;
The relatively expectation arrival time of all vehicles, and using vehicle corresponding for the shortest forecast arrival time as pre-reception centre vehicle;
Forecast arrival time corresponding with vehicle for described pre-reception centre vehicle is combined and is sent to client.
7. the system forecasting arrival time, it is characterized in that, bus travel circuit is preset with multiple index point, the corresponding index point of each website, and have at least an index point between adjacent two websites, being previously stored with running time empirical value table in system, store each index point on each period same bus travel circuit and arrive the time of index point corresponding to website in this running time empirical value table, this system includes with lower module:
Real-time positioning module, for obtaining coordinate and the vehicle heading of vehicle real-time positioning tracing point;
Mapping block, for the coordinate of the coordinate according to described vehicle real-time positioning tracing point and described each index point, is mapped to the index point of correspondence by vehicle real-time positioning tracing point, and using the index point of described correspondence as being presently in index point;
Arrival time computing module, described running time empirical value table is inquired about for correspondence, calculate at period vehicle belonging to current time from the time needed for the index point being presently in corresponding to the forecast website that index point arrives described vehicle heading, as the vehicle program arrival time arriving forecast website;
Sending module, for being sent to client by described vehicle program arrival time.
8. the system of forecast arrival time according to claim 7, it is characterised in that the distance between any two index point set in advance is less than distance threshold L;
Following submodule is included at described mapping block:
Distance calculating sub module, is used for the coordinate of the tracing point according to described real-time positioning and the coordinate of described each index point, calculates the tracing point of real-time positioning and the distance of each index point respectively;
Threshold decision submodule, for judging that whether the distance calculated is less than described distance threshold L;
Index point chooses submodule, for if it is judged that be yes, then judging that the tracing point of described real-time positioning is in the fence of bus travel circuit, and be mapped to by the tracing point of described real-time positioning with this tracing point on minimum index point.
9. the system of forecast arrival time according to claim 7, it is characterised in that also include speed measuring module, for obtaining the real time running speed of vehicle, and judges whether real time running speed exceeds the predetermined ratio of threshold speed;
Described arrival time computing module, when real time running speed is more than threshold speed predetermined ratio, uses the real time running speed calculation forecast arrival time of vehicle.
10. the system of forecast arrival time according to claim 7, it is characterized in that, described arrival time computing module is additionally operable on cycle calculations bus travel circuit all vehicle program and arrives the vehicle program arrival time of forecast website, and the expectation arrival time of relatively all vehicles, and using vehicle corresponding for the shortest forecast arrival time as pre-reception centre vehicle;
Described sending module is additionally operable to combine forecast arrival time corresponding with vehicle for described pre-reception centre vehicle be sent to client.
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| CN114463872A (en) * | 2022-01-13 | 2022-05-10 | 北京中交兴路信息科技有限公司 | Freight car loading working hour calculation method and device, electronic equipment and storage medium |
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