CN104318113A - Passenger transfer spatial-temporal characteristics based method and system for calculating passengers' boarding stations - Google Patents
Passenger transfer spatial-temporal characteristics based method and system for calculating passengers' boarding stations Download PDFInfo
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Abstract
The invention discloses a passenger transfer spatial-temporal characteristics based method and system for calculating passengers' boarding stations. The method includes the steps of: S1), data pre-processing, namely performing data pre-processing on GPS data of bus locations and transaction data of smart cards; S2), basic data analyzing, namely calculating walking time from subway stations to adjoining bus stations and walking time from the bus stations to the adjoining bus stations; S3), bus arrival time completion, namely calculating bus arrival time according to the data in the step S1) and the step S2); S4), passenger boarding time calculation, namely according to passenger boarding and card swiping time and the bus arrival time, calculating boarding stations of the passengers. With the method, spatial-temporal relevance between passenger transfer spatial-temporal characteristics and the passengers is analyzed by combining the transaction data of the smart cards with the GPS data of the bus locations, the fact that arrival time of the buses cannot be calculated in a traditional method is completed, and the purpose of completing the boarding stations of the passengers is achieved.
Description
Technical field
The present invention relates to spatiotemporal data structure and technical field of transportation, particularly relate to the method and system that a kind of space-time characteristic based on passenger's transfer calculates passenger loading website.
Background technology
Due to the convenience of smart card, agility, the advantage such as to save money, it has been widely used in public transport field in the city such as public transport, subway as one paying means, except its payment function, smart card can collect the information that a large amount of passengers rides, by can obtain the trip time and space idea model of passenger to the deep excavation of these information.Traditional information approach comprises:
(1) manual research, its shortcoming is: expend time in and manpower; Data are incomplete, and degree of accuracy is not high;
(2) by intelligent card data and bus GPS coupling in time, its shortcoming is: the precise positioning depending on the universal of GPS device and GPS.
The get on the bus acquisition of website of existing bus is calculated by the gps data of combined with intelligent card data and bus to obtain, but the GPS device of existing public transport is also completely not universal, such as Shenzhen is in January, 2014, the bus that GPS popularizes only has 60%, this just causes the website of getting on the bus of part passenger to calculate, in addition, it is long that GPS device sends data break, network reason, equipment failure etc. all likely cause the website of getting on the bus of passenger to calculate.But the integrality of passenger loading website has very important meaning for the reckoning of passenger getting off car website, traffic programme (such as line adjustment, vehicle scheduling etc.).
Therefore, for above-mentioned technical matters, be necessary to provide a kind of space-time characteristic based on passenger's transfer to calculate the method and system of passenger loading website.
Summary of the invention
In view of this, a kind of space-time characteristic based on passenger's transfer is the object of the present invention is to provide to calculate the method and system of passenger loading website.
In order to achieve the above object, the technical scheme that provides of the embodiment of the present invention is as follows:
Space-time characteristic based on passenger's transfer calculates a method for passenger loading website, and described method comprises:
S1, data prediction, comprise the pre-service of public transport position gps data and the pre-service to smart card transaction data;
S2, basic data analysis, comprise and calculate subway station to the walking time of the adjacent bus station of periphery and calculating bus station to the walking time of the adjacent bus station of periphery;
S3, bus arrival time completion, calculate public transport arrival time according to the data in step S1 and S2;
S4, passenger loading website calculate, and calculate the website of getting on the bus of passenger according to passenger loading charge time and public transport arrival time.
As a further improvement on the present invention, also comprise before described step S1:
Obtain source data, described source data to comprise near bus station data, subway station data, public bus network data, smart card transaction data, public transport position gps data, subway station bus station near bus station and bus station.
As a further improvement on the present invention, described public transport position gps data comprises license plate number, public bus network numbering, time, longitude, latitude.
As a further improvement on the present invention, in described step S1, " pre-service to public transport position gps data " comprising:
Public transport position gps data error handling processing;
Public transport position gps data mates with bus station.
As a further improvement on the present invention, described smart card transaction data comprises smart card numbers, the bus station of transaction or subway station, exchange hour, type of transaction, and described type of transaction comprises into subway station, goes out subway station, upper bus.
As a further improvement on the present invention, in described step S1, " pre-service to smart card transaction data " comprising:
Filter the transaction record with disappearance field;
For the passenger taking subway, by card number and time, the record that enters the station and set off of passenger is matched.
As a further improvement on the present invention, described step S3 comprises:
By the analysis of the record by bus to subway transfer public transport A passenger, calculate that public transport A arrives the time of website near subway;
By the analysis of the record by bus to the passenger from public transport A transfer subway, calculate that public transport A arrives the time of website near subway;
By to the analysis of record by bus of changing to the passenger that public transport B stands at S from public transport A, calculate the arrival time of public transport A website near S station or S;
By to the analysis of recording by bus of changing to the passenger of public transport B from public transport A at S station, calculate the arrival time of public transport B website near S station or S;
The arrival time of public transport at other websites is calculated by the feature that passenger loading charge time is intensive.
As a further improvement on the present invention, described step S4 is specially:
According to the arrival time of passenger loading charge time and public transport, select the get on the bus website of mistiming minimum occurrence as passenger.
Correspondingly, a kind of space-time characteristic based on passenger's transfer calculates the system of passenger loading website, and described system comprises:
Data preprocessing module, for the pre-service of public transport position gps data and the pre-service to smart card transaction data;
Basic data analysis module, for calculating subway station to the walking time of the adjacent bus station of periphery and calculating bus station to the walking time of the adjacent bus station of periphery;
Bus arrival time completion module, for calculating public transport arrival time;
Passenger loading website computing module, calculates the website of getting on the bus of passenger according to passenger loading charge time and public transport arrival time.
The present invention has following beneficial effect:
The present invention analyzes the relevance of space-time between the transfer space-time characteristic of passenger and passenger by combined with intelligent card transaction data and public transport position gps data, the arrival time of the bus that completion cannot be calculated by classic method, reach the object of the website of getting on the bus of completion passenger, and algorithm application to be got on the bus website in reckoning bus passenger, effect is clearly.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, the accompanying drawing that the following describes is only some embodiments recorded in the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the system module schematic diagram that a kind of space-time characteristic based on passenger's transfer of the present invention calculates passenger loading website.
Fig. 2 is the method particular flow sheet that a kind of space-time characteristic based on passenger's transfer of the present invention calculates passenger loading website.
Fig. 3 is the scenario simulation figure of bus arrival time computing method 1 in the embodiment of the invention.
Fig. 4 is the scenario simulation figure of bus arrival time computing method 2 in the embodiment of the invention.
Fig. 5 is the scenario simulation figure of bus arrival time computing method 3 in the embodiment of the invention.
Fig. 6 is the scenario simulation figure of bus arrival time computing method 5 in the embodiment of the invention.
Embodiment
Technical scheme in the present invention is understood better in order to make those skilled in the art person, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, should belong to the scope of protection of the invention.
Shown in ginseng Fig. 1, the invention discloses the system that a kind of space-time characteristic based on passenger's transfer calculates passenger loading website, it comprises: data preprocessing module 10, basic data analysis module 20, bus arrival time completion module 30 and passenger loading website computing module 40.Wherein:
Data preprocessing module 10 for the pre-service to public transport position gps data, such as: process, the public transport position gps data of vicious public transport position gps data mate with bus station; And the pre-service to smart card transaction data;
Basic data analysis module 20 is for calculating subway station to the walking time of the adjacent bus station of periphery and calculating bus station to the walking time of the adjacent bus station of periphery;
Bus arrival time completion module 30 is for calculating public transport arrival time;
Passenger loading website computing module 40 is for calculating the website of getting on the bus of passenger according to passenger loading charge time and public transport arrival time.
Bus arrival time completion module, first the arrival time calculating public transport is compared, then by the arrival time of following those all the other websites that cannot be obtained by gps data of 5 kinds of method completions by the gps data of public transport position gps data and the approach website of place circuit:
Method 1, analysis by the record by bus to subway transfer public transport A (without GPS) passenger, calculate the time of website near public transport A arrival subway;
Method 2, by the analysis of by bus record of changing to the passenger of subway from public transport A (without GPS), calculate the time of website near bus A arrival subway;
Method 3, by from public transport A (without GPS) transfer to the analysis of the by bus record of the passenger of public transport B (at S station, having GPS), reckoning public transport A stands or the arrival time of website near S at S;
Method 4, by from public transport A (having GPS) in the analysis of S station transfer to the by bus record of the passenger of public transport B (without GPS), reckoning public transport B stands or the arrival time of website near S at S;
Method 5, calculate the arrival time of public transport at all the other websites by passenger loading charge time intensive feature.
Shown in ginseng Fig. 2, a kind of space-time characteristic based on passenger's transfer of the present invention calculates the method for passenger loading website, and it comprises:
S1, data prediction, comprise the pre-service of public transport position gps data and the pre-service to smart card transaction data;
S2, basic data analysis, comprise and calculate subway station to the walking time of the adjacent bus station of periphery and calculating bus station to the walking time of the adjacent bus station of periphery;
S3, bus arrival time completion, calculate public transport arrival time according to the data in step S1 and S2;
S4, passenger loading website calculate, and calculate the website of getting on the bus of passenger according to passenger loading charge time and public transport arrival time.
In the present invention, also comprise before step S1:
Obtain source data, to comprise near bus station data, subway station data, public bus network data, smart card transaction data, public transport position gps data, subway station bus station near bus station and bus station.
In the present invention, source data is made up of seven tables, is specially:
Bus station table mainly comprises four fields, that is: busStationId, stationName, lat, lng, identifies bus station numbering, site name, longitude, latitude respectively.
Subway station table mainly comprises four fields, that is: metroStationId, stationName, lat, lng, identifies subway station numbering, site name, longitude, latitude respectively.
Public bus network table mainly comprises five fields, that is: lineId, lineName, direction, StationList, identifies circuit number, line name, direction, approach website (list for bus station numbering) respectively.
Smart card tran list mainly comprises four fields, that is: CardID, StationId, TrnsctTime, TrnsctyType, and wherein CardID (smart card numbers) is the unique identification of Intelligent transportation card; StationId is the mark of bus station or subway station; TrnsctTime is transaction (swiping the card) time, and TrnsctyType is type of transaction, has three types, enters subway station, goes out subway station, upper bus, respectively by 21,22,31 marks.
Public transport positional information table mainly comprises five fields, BusID, lineId, time, lat, lng, respectively the mark vehicle trade mark, public bus network numbering, time, longitude, latitude.
Near subway station, bus station list comprises two fields, comprises metroStationId, nghSLst.Identify subway station numbering, contiguous bus station's list (list of busStationId) respectively.
Bus station's list near bus station: comprise busStationId, nghSLst.Identify bus station's numbering, contiguous bus station's list (list of busStationId) respectively.
S1, data prediction
Data preprocessing module mainly completes the pre-service to some basic datas, comprising:
(1) pre-service of public transport position gps data, comprising: one, public transport position gps data error handling processing (such as will there is the gps data filtration etc. of very big error); Two, the mating of public transport position gps data and bus station;
(2) error handling processing of smart card transaction data, comprising: one, filter the transaction record with disappearance field, such as, lack the transaction records such as riding time field, card number field, site information; Two, for the passenger taking subway, by card number and time, the record that enters the station and set off of passenger is matched.
S2, basic data analysis
Basic data calculates and mainly comprises subway station to the calculating of the walking time of the adjacent bus station of periphery and bus station to the calculating of the walking time of periphery bus station.
1, subway station is to the calculating of the walking time of the adjacent bus station of periphery.
Subway station by changing to public transport from subway, or can obtain to the walking time of periphery bus station from the record by bus of the passenger of Public Transport Transfer subway.Suppose that certain passenger A gets off from subway station S at time T1, in the bus station T station transfer nearby of T2 moment to the public transport of b road, then the walking time of subway station A to bus station T may be calculated the minimum value of T2-T1 of all passengers changed at bus station T that get off from subway station S, with walktimeMB (S, T) obtain from subway station S to bus station T, or from bus station T to the time of subway station S.
2, bus station is to the calculating of the walking time of periphery bus station
Bus station can obtain by excavating from the record by bus of Public Transport Transfer public transport to the walking time of neighbouring bus station.Suppose that certain passenger A takes b1 road bus and gets off from bus station S in the T1 moment, and in the bus station M station transfer nearby of T2 moment to b2 road bus, bus before and after transfer has GPS information, namely, under the prerequisite that the time of public transport arrival approach website is known, the walking time of bus station S to neighbouring bus station M can by calculating the minimum value of T2 and the T1 mistiming of all passengers of all this transfers similar.WalktimeBB (S, T) obtains from bus station S to bus station T, or from bus station T to the time of subway station S.
S3, bus arrival time completion
For the bus having GPS, can compare by the GPS of the GPS of public transport position and website the arrival time obtaining public transport.But and GPS device installed by the bus of not all, or GPS device is abnormal, and it is excessive that GPS sends interval, and these all likely cause calculating public transport arrival time, can calculate by the following method for these situations:
Method 1: by the analysis of by bus record of passenger of changing to public transport A (without GPS) from subway, calculate that public transport arrives the time of website near subway.
First following scene is seen, as shown in Figure 3:
First Zhang San takes subway and to swipe the card in the T1 moment from S station departures, and license plate number is the bus of Guangdong * * on the T2 moment swipes the card, this bus is without GPS information, when namely directly cannot obtain T2 moment, the position at bus place, and the bus station T of this bus place circuit known near S station, namely T belongs to the periphery bus station nghSLst of subway station S, suppose T2-T1<=walktime (S, T)+w, walktimeMB (S, T) be walking time from S to T, w is empirical value, this can be determined according to the bus departure interval.More than can release, L (Guangdong * *, T2)=T, bus Guangdong * * arrive T station in the T2 time, and this information is T for the website of getting on the bus of all passengers extrapolating the Guangdong * * that to take pubic transport within the T2 contiguous time.
Method 2, analysis by the by bus record to the passenger from Public Transport Transfer subway, calculate that bus arrives the time of website near subway.
First scene is described below, as shown in Figure 4:
Zhang San swipes the card in the T1 moment and has gone up the bus (without GPS information) that license plate number is Guangdong * *, and swipes the card into subway station S with the T2 moment, owing to not having GPS information, directly cannot obtain the position that T1 and the T2 moment is * * place, bus Guangdong.The bus station T of this bus place circuit known near subway station S, namely T belongs to the periphery bus station list nghSLst of subway station S, suppose T2-T1<=t, t is certain empirical value, suppose that this empirical value is 25 minutes, this empirical value can illustrate on very large probability passenger take pubic transport T station after, just walking is to subway station S.Suppose t1=walktimeMB (T, S) be walking time from T to S, more than can release, L (Guangdong * *, T2)=T2-t1, namely * * in bus Guangdong arrives T station in the T2-t1 moment, and this information is T for the website of getting on the bus of all passengers calculating the Guangdong * * that to take pubic transport within the T2-t1 contiguous time.
Method 3: by from bus A (without GPS) transfer to the analysis of the record by bus of the passenger of bus B (have GPS, suppose that passenger gets on the bus at S station), calculate the arrival time of public transport A website near S station or S.
First scene is described below, as shown in Figure 5:
Zhang San swipes the card in the T1 moment and has gone up license plate number and be Guangdong * * 1 and do not have GPS information bus, and swipe the card with the T2 moment that to have gone up license plate number be the bus that Guangdong * * 2 has GPS information, and known Guangdong * * 2 arrives S station in the T2 time, the bus station of * * 1 bus place, known Guangdong circuit near S station or S, represent with T, namely T belongs to the nghSLst of bus station S, suppose T2-T1<=t, t is certain empirical value, suppose that this empirical value is 25 minutes, this empirical value can illustrate on very large probability that passenger takes pubic transport behind Guangdong * * 1 to S station, just public transport Guangdong * * 2 has been changed at T station.Suppose t1=walktime (T, S) be walking time from T to S, t2 is the average departure interval of * * 2 car place, Guangdong circuit, from releasing above, L (Guangdong * * 1, T2-t1-t2/2)=T, namely bus Guangdong * * 1 arrives T station in the T2-t1-t2/2 moment, and this information is T for the website of getting on the bus of all passengers calculating the Guangdong * * 1 that to take pubic transport within the T2-T1-T2 contiguous time.
Method 4: by to get off at S station from bus A (having GPS) and change to the analysis of the record by bus of the passenger of bus B (without GPS), calculate the arrival time of public transport B website near S station or S.
This method is more similar with method 3, and be all that the two cars one before and after transfer has GPS information, one does not have GPS information, and just method 3 is that car before transfer does not have GPS, and method 4 to be cars after transfer do not have GPS.
Method 5: combine above calculate result and passenger loading charge time intensive feature calculate the arrival time of public transport at other websites.As seen from Figure 6, if when the arrival time of part website is known, general reckoning working time the arrival time of passenger at all the other websites can be obtained by the public transport between the charge time of passenger and two stations.
S4, passenger loading website calculate
Passenger loading website computing module, mainly according to the arrival time of passenger loading charge time and public transport, selects the Entrucking Point of mistiming minimum occurrence as passenger.
Below in conjunction with concrete test, the invention will be further described, and data from the bimestrial passenger's brushing card data of Shenzhen's SZT card, SZT card can be used for taking subway and public transport.
Test five cases such as under:
Test one, to swipe the card the GPS location reckoning passenger loading website of record and bus by leading to card in conjunction with Shenzhen, if by bus GPS calls time with charge time of SZT card be disposed on two minutes, then can extrapolate the website of getting on the bus of the passenger of 60%.
Test two, in conjunction with test one result and use the method 1 in bus arrival time completion module, the passenger changing to public transport after passenger has been descended subway is set to ten minutes the time interval, then can extrapolate the website of getting on the bus of the passenger of 68%.
Test three, in conjunction with test one and test two, uses the method 2 in bus arrival time completion module, and passenger has been gone up public transport and be set to 25 minutes to the time interval of changing to subway, then can extrapolate the website of getting on the bus of the passenger of 76%.
Test four, in conjunction with test one, two, three, use the method 3 in bus arrival time completion module and method four, and passenger has been gone up public transport and be set to 25 minutes to the time interval of changing to next public transport, the website of getting on the bus of the passenger of 80% can be extrapolated.
Test five, in conjunction with test one, two, three, four, uses the method 5 in bus arrival time completion module, then can extrapolate the website of getting on the bus of the passenger of 93%.
As can be seen from the above technical solutions, the present invention analyzes the relevance of space-time between the transfer space-time characteristic of passenger and passenger by combined with intelligent card transaction data and public transport position gps data, the arrival time of the bus that completion cannot be calculated by classic method, reach the object of the website of getting on the bus of completion passenger, and algorithm application to be got on the bus website in reckoning bus passenger, effect is clearly.
To those skilled in the art, obviously the invention is not restricted to the details of above-mentioned one exemplary embodiment, and when not deviating from spirit of the present invention or essential characteristic, the present invention can be realized in other specific forms.Therefore, no matter from which point, all should embodiment be regarded as exemplary, and be nonrestrictive, scope of the present invention is limited by claims instead of above-mentioned explanation, and all changes be therefore intended in the implication of the equivalency by dropping on claim and scope are included in the present invention.Any Reference numeral in claim should be considered as the claim involved by limiting.
In addition, be to be understood that, although this instructions is described according to embodiment, but not each embodiment only comprises an independently technical scheme, this narrating mode of instructions is only for clarity sake, those skilled in the art should by instructions integrally, and the technical scheme in each embodiment also through appropriately combined, can form other embodiments that it will be appreciated by those skilled in the art that.
Claims (9)
1., based on a method for the space-time characteristic reckoning passenger loading website of passenger's transfer, it is characterized in that, described method comprises:
S1, data prediction, comprise the pre-service of public transport position gps data and the pre-service to smart card transaction data;
S2, basic data analysis, comprise and calculate subway station to the walking time of the adjacent bus station of periphery and calculating bus station to the walking time of the adjacent bus station of periphery;
S3, bus arrival time completion, calculate public transport arrival time according to the data in step S1 and S2;
S4, passenger loading website calculate, and calculate the website of getting on the bus of passenger according to passenger loading charge time and public transport arrival time.
2. method according to claim 1, is characterized in that, also comprises before described step S1:
Obtain source data, described source data to comprise near bus station data, subway station data, public bus network data, smart card transaction data, public transport position gps data, subway station bus station near bus station and bus station.
3. method according to claim 2, is characterized in that, described public transport position gps data comprises license plate number, public bus network numbering, time, longitude, latitude.
4. method according to claim 3, is characterized in that, in described step S1 " pre-service to public transport position gps data " comprising:
Public transport position gps data error handling processing;
Public transport position gps data mates with bus station.
5. method according to claim 2, is characterized in that, described smart card transaction data comprises smart card numbers, the bus station of transaction or subway station, exchange hour, type of transaction, and described type of transaction comprises into subway station, goes out subway station, upper bus.
6. method according to claim 5, is characterized in that, in described step S1 " pre-service to smart card transaction data " comprising:
Filter the transaction record with disappearance field;
For the passenger taking subway, by card number and time, the record that enters the station and set off of passenger is matched.
7. method according to claim 1, is characterized in that, described step S3 comprises:
By the analysis of the record by bus to subway transfer public transport A passenger, calculate that public transport A arrives the time of website near subway;
By the analysis of the record by bus to the passenger from public transport A transfer subway, calculate that public transport A arrives the time of website near subway;
By to the analysis of record by bus of changing to the passenger that public transport B stands at S from public transport A, calculate the arrival time of public transport A website near S station or S;
By to the analysis of recording by bus of changing to the passenger of public transport B from public transport A at S station, calculate the arrival time of public transport B website near S station or S;
The arrival time of public transport at other websites is calculated by the feature that passenger loading charge time is intensive.
8. method according to claim 1, is characterized in that, described step S4 is specially:
According to the arrival time of passenger loading charge time and public transport, select the get on the bus website of mistiming minimum occurrence as passenger.
9., based on a system for the space-time characteristic reckoning passenger loading website of passenger's transfer, it is characterized in that, described system comprises:
Data preprocessing module, for the pre-service of public transport position gps data and the pre-service to smart card transaction data;
Basic data analysis module, for calculating subway station to the walking time of the adjacent bus station of periphery and calculating bus station to the walking time of the adjacent bus station of periphery;
Bus arrival time completion module, for calculating public transport arrival time;
Passenger loading website computing module, calculates the website of getting on the bus of passenger according to passenger loading charge time and public transport arrival time.
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| CN110738244B (en) * | 2019-09-29 | 2022-06-21 | 中国科学院深圳先进技术研究院 | Subway station function and evolution identification method and system based on card swiping data and electronic equipment |
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