CN105096639A - Method, device and system used for predicting bus arrival time - Google Patents
Method, device and system used for predicting bus arrival time Download PDFInfo
- Publication number
- CN105096639A CN105096639A CN201410219946.7A CN201410219946A CN105096639A CN 105096639 A CN105096639 A CN 105096639A CN 201410219946 A CN201410219946 A CN 201410219946A CN 105096639 A CN105096639 A CN 105096639A
- Authority
- CN
- China
- Prior art keywords
- bus
- terminal
- locating information
- information
- website
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Traffic Control Systems (AREA)
- Navigation (AREA)
Abstract
The invention discloses a method, device and system used for predicting bus arrival time. When a bus management platform receives a query request sent by a query terminal, an appointed bus route, a driving direction and get-on stop information in the query request are extracted; at a predetermined first time interval, terminal positioning information correlative with the appointed bus route is queried; according to the queried terminal positioning information, positioning information of N buses driving towards the get-on stop in the driving direction and near to the get-on stop is determined; according to the positioning information of the ith bus, the arrival time to the get-on stop of the ith bus is predicted; the predicted arrival time of all the buses is sent to the query terminal, and the query terminal displays the predicted arrival time. By utilization of positioning information of mobile terminals of other passengers, a user can obtain predicted arrival time when the user is not on a bus, and installation of a vehicle-mounted positioning device is not needed. The system cost is saved and the user experience is raised.
Description
Technical field
The present invention relates to the communications field, particularly a kind of methods, devices and systems for predicting public transport arrival time.
Background technology
Along with the development of society, city size constantly expands, and traffic problems become increasingly conspicuous.In order to improve bus operation efficiency, alleviate citizens' activities pressure, intellectualized technology being applied to city bus field has become a kind of trend.
In order to bus arrival be provided to predict service to citizen, some relevant technology are there is at present.In first prior art, bus is configured with GPS (GlobalPositioningSystem, GPS) device.Bus is in operational process, and bus timing provides bus to number and GPS locating information to the webserver.User, when inquiring about the arrival time of specifying public bus network, sends inquiry request to the webserver, and inquiry request comprises given line, travel direction (upstream or downstream), the website of getting on the bus that user selects.The webserver, according to inquiry request, inquires and travel to bus loading zone point the vehicle position information that website is nearer and distance is got on the bus on given line, and vehicle position information is sent to user terminal, calculate bus arrival time voluntarily by user terminal.The open defect that this scheme exists is: because the installation and maintenance cost of vehicle-mounted GPS apparatus is comparatively large, therefore cannot popularize, be difficult to really drop into practicality.
In second prior art, passenger is after getting on the bus, the request of bus arrival clock alarming is sent to public transport central server by mobile terminal, request comprises public bus network that passenger takes advantage of, get-off stop, reminds distance in advance, and starts timing sends GPS locating information from mobile terminal to public transport central server.The GPS locating information that public transport central server sends according to passenger's mobile terminal, determine passenger ride in a bus and specify the distance between get-off stop.When GPS locating information and when specifying the distance between get-off stop to reach predetermined prompting distance in advance, then the mobile terminal to passenger sends prompting message of getting off.Although this scheme avoids install GPS device on bus, require that passenger must be onboard.If passenger does not also get on the bus, then the program cannot be used.
Summary of the invention
The embodiment of the present invention provides a kind of methods, devices and systems for predicting public transport arrival time.By utilizing the locating information of other passenger's mobile terminal, make user also can get the predicted time that arrives at a station when not getting on the bus.
According to an aspect of the present invention, a kind of method for predicting public transport arrival time being provided, comprising:
When receiving the inquiry request that inquiry terminal sends, extract appointment public bus network, travel direction and bus loading zone dot information that inquiry request comprises; Wherein inquiring user is when inquiring about the arrival time of specifying public bus network, sends described inquiry request by inquiry terminal;
With predetermined very first time interval, inquire about and the terminal location information of specifying public bus network to be associated; Wherein by bus user is when taking bus, and the terminal of described user by bus sends to public traffic management platform the terminal location information be associated that to take bus with the described user that rides with the second predetermined time interval;
According to the terminal location information inquired, website of determining to get on the bus toward described in described travel direction travels and the locating information of nearest N the bus of website of getting on the bus described in distance;
According to the locating information of i-th bus, predict the arrival time of getting on the bus a little described in i-th bus arrival, wherein 1≤i≤N;
Whole arrival times of prediction are sent to inquiry terminal, so that the arrival time of inquiry terminal display prediction.
In one embodiment, according to the terminal location information inquired, website of determining to get on the bus toward described in described travel direction travels and the step of the locating information of nearest N the bus of website of getting on the bus described in distance comprises:
In the terminal location information inquired, extract moving direction and the locating information of the terminal of toward described in get on the bus website movement consistent with described travel direction, with alternatively locating information;
Clustering processing is carried out to candidate's locating information, travels the locating information of bus with the website that obtains getting on the bus toward described in described travel direction;
Website that described travel direction is got on the bus toward described in travels in the locating information of bus, selects the locating information of nearest N the bus of website of getting on the bus described in distance.
In one embodiment, carry out clustering processing to candidate's locating information, the step travelling the locating information of bus with the website that obtains getting on the bus toward described in described travel direction comprises:
Clustering processing is carried out to candidate's locating information, with the locating information set of the terminal of the website movement that obtains getting on the bus toward described in described travel direction;
By the locating information mean value of each locating information set, as the locating information of corresponding bus.
In one embodiment, with predetermined very first time interval, inquire about with after the terminal location information of specifying public bus network to be associated, also comprise:
If do not inquire and the terminal location information of specifying public bus network to be associated, then send corresponding information to inquiry terminal.
According to a further aspect in the invention, a kind of public traffic management platform for predicting public transport arrival time being provided, comprising receiving element, extraction unit, query unit, locating information determining unit, predicting unit and transmitting element, wherein:
Receiving element, for receiving the inquiry request that inquiry terminal sends, wherein inquiring user is when inquiring about the arrival time of specifying public bus network, sends described inquiry request by inquiry terminal; Also for the terminal location information that the terminal receiving user by bus sends, wherein user is when taking bus by bus, and the terminal of user sends described terminal location information with the second predetermined time interval by bus;
Extraction unit, for receive when receiving element inquiry terminal send inquiry request time, extract appointment public bus network, travel direction and bus loading zone dot information that inquiry request comprises;
Query unit, for predetermined very first time interval, inquires about and the terminal location information of specifying public bus network to be associated;
Locating information determining unit, for according to the terminal location information that inquires, website of determining to get on the bus toward described in described travel direction travel and apart from described in get on the bus the locating information of nearest N the bus of website;
Predicting unit, for the locating information according to i-th bus, predicts the arrival time of getting on the bus a little described in i-th bus arrival, wherein 1≤i≤N;
Transmitting element, for whole arrival times of prediction are sent to inquiry terminal, so that the arrival time of inquiry terminal display prediction.
In one embodiment, locating information determining unit specifically comprises extraction module, clustering processing module and selects module, wherein:
Extraction module, in the terminal location information inquired, extracts moving direction and the locating information of the terminal of toward described in get on the bus website movement consistent with described travel direction, with alternatively locating information;
Clustering processing module, for carrying out clustering processing to candidate's locating information, travels the locating information of bus with the website that obtains getting on the bus toward described in described travel direction;
Select module, for getting on the bus toward described in described travel direction, website travels in the locating information of bus, select apart from described in get on the bus the locating information of nearest N the bus of website.
In one embodiment, clustering processing module specifically carries out clustering processing to candidate's locating information, with the locating information set of the terminal of the website movement that obtains getting on the bus toward described in described travel direction; By the locating information mean value of each locating information set, as the locating information of corresponding bus.
In one embodiment, when transmitting element is not also for inquiring in query unit with the terminal location information of specifying public bus network to be associated, then corresponding information is sent to inquiry terminal.
According to a further aspect in the invention, a kind of system for predicting public transport arrival time being provided, comprising public traffic management platform, the terminal of inquiry terminal and by bus user, wherein:
The by bus terminal of user, for user by bus when taking bus, sends to public traffic management platform the terminal location information be associated that to take bus with the described user that rides with the second predetermined time interval;
Inquiry terminal, for inquiring user when inquiring about the arrival time of specifying public bus network, sends inquiry request to public traffic management platform, and wherein inquiry request comprises appointment public bus network, travel direction and bus loading zone dot information;
Public traffic management platform is the public traffic management platform that above-mentioned any embodiment relates to.
In one embodiment, inquiry terminal, also for after the arrival time information receiving the transmission of public traffic management platform, utilizes the prediction arrival time of arrival time information to current display received to upgrade.
The real-time positioning information that the present invention passes through to utilize the passenger that takes bus to provide, to replace locator information of vehicle-carrying, can obtain bus arrival predicted time when not getting on the bus, improve Consumer's Experience.
Description of the invention provides in order to example with for the purpose of describing, and is not exhaustively or limit the invention to disclosed form.Many modifications and variations are obvious for the ordinary skill in the art.Selecting and describing embodiment is in order to principle of the present invention and practical application are better described, and enables those of ordinary skill in the art understand the present invention thus design the various embodiments with various amendment being suitable for special-purpose.
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, accompanying drawing in the following describes is only some embodiments of 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 that the present invention is for predicting the schematic diagram of a method embodiment of public transport arrival time.
Fig. 2 is that the present invention is for predicting the schematic diagram of another embodiment of method of public transport arrival time.
Fig. 3 is the schematic diagram of a public traffic management platform of the present invention embodiment.
Fig. 4 is the schematic diagram of a locating information determining unit of the present invention embodiment.
Fig. 5 is that the present invention is for predicting the schematic diagram of a system embodiment of public transport arrival time.
Fig. 6 is the schematic diagram of a locating information clustering processing of the present invention embodiment.
Fig. 7 is the schematic diagram of bus of the present invention and the relation embodiment between website of getting on the bus.
Fig. 8 is bus of the present invention and gets on the bus and be related to the schematic diagram of another embodiment between website.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Illustrative to the description only actually of at least one exemplary embodiment below, never as any restriction to the present invention and application or use.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, belong to the scope of protection of the invention.
Unless specifically stated otherwise, otherwise positioned opposite, the numerical expression of the parts of setting forth in these embodiments and step and numerical value do not limit the scope of the invention.
Meanwhile, it should be understood that for convenience of description, the size of the various piece shown in accompanying drawing is not draw according to the proportionate relationship of reality.
May not discuss in detail for the known technology of person of ordinary skill in the relevant, method and apparatus, but in the appropriate case, described technology, method and apparatus should be regarded as a part of authorizing instructions.
In all examples with discussing shown here, any occurrence should be construed as merely exemplary, instead of as restriction.Therefore, other example of exemplary embodiment can have different values.
It should be noted that: represent similar terms in similar label and letter accompanying drawing below, therefore, once be defined in an a certain Xiang Yi accompanying drawing, then do not need to be further discussed it in accompanying drawing subsequently.
Fig. 1 is that the present invention is for predicting the schematic diagram of a method embodiment of public transport arrival time.Preferably, the method step of the present embodiment can be performed by public traffic management platform.
Step 101, when receiving the inquiry request that inquiry terminal sends, extracts appointment public bus network, travel direction and bus loading zone dot information that inquiry request comprises.
Wherein inquiring user is when inquiring about the arrival time of specifying public bus network, sends described inquiry request by inquiry terminal.Inquiry request at least comprises specifies public bus network, travel direction and bus loading zone dot information.
Step 102, with predetermined very first time interval, inquires about and the terminal location information of specifying public bus network to be associated.
Wherein by bus user is when taking bus, and the terminal of described user by bus sends to public traffic management platform the terminal location information be associated that to take bus with the described user that rides with the second predetermined time interval.
Have passenger getting on/off when considering bus arrival, therefore inquire about with predetermined very first time interval, the accuracy of data can be guaranteed.
In order to realize the present invention, suppose second prior art that most of passenger takes bus in Shi Douhui use background technology part here, thus the mobile terminal of passenger timing can send self current locating information to public traffic management platform.Certainly, if the locating information being supplied to public traffic management platform is more, precision of prediction also can be higher.
Step 103, according to the terminal location information inquired, website of determining to get on the bus toward described in described travel direction travels and the locating information of nearest N the bus of website of getting on the bus described in distance.Wherein N is natural number.
Step 104, according to the locating information of i-th bus, predicts the arrival time of getting on the bus a little described in i-th bus arrival, wherein 1≤i≤N.
Whole arrival times of prediction are sent to inquiry terminal by step 105, so that the arrival time of inquiry terminal display prediction.
In one embodiment, in above-mentioned steps 102, if do not inquire and the terminal location information of specifying public bus network to be associated, then send corresponding information to inquiry terminal.
Such as, if the public bus network of specifying does not have bus to arrive, such as last bus drives away, traffic control etc., then notify user in time, in order to avoid affect user's trip.
Based on the method for predicting public transport arrival time that the above embodiment of the present invention provides, the real-time positioning information provided by utilizing the passenger that takes bus is to replace locator information of vehicle-carrying, bus arrival predicted time can be obtained when not getting on the bus, improve Consumer's Experience.
Fig. 2 is that the present invention is for predicting the schematic diagram of another embodiment of method of public transport arrival time.As shown in Figure 2, in above-mentioned steps 103 according to the terminal location information that inquires, website of determining to get on the bus toward described in described travel direction travel and apart from described in the get on the bus step of locating information of nearest N the bus of website can specifically comprise:
Step 201, in the terminal location information inquired, extracts moving direction and the locating information of the terminal of toward described in get on the bus website movement consistent with described travel direction, with alternatively locating information.
Step 202, carries out clustering processing to candidate's locating information, travels the locating information of bus with the website that obtains getting on the bus toward described in described travel direction.
Preferably, clustering processing can be carried out to candidate's locating information, with the locating information set of the terminal of the website movement that obtains getting on the bus toward described in described travel direction.Then by the locating information mean value of each locating information set, as the locating information of corresponding bus.
Because the positioning performance of different terminals is different, or because of external environmental interference, may there is deviation in the locating information that the different user terminals taking same bus provides, and in some cases, the deviation of locating information also may be larger.Therefore, by clustering processing, the locating information with obvious deviation can be excluded, thus the positioning precision to bus can be improved.Those skilled in the art can recognize, can adopt different clustering parameters according to different accuracy requirements, thus can obtain different cluster set, therefore do not launch explanation to clustering processing here.
Step 203, website that described travel direction is got on the bus toward described in travels in the locating information of bus, selects the locating information of nearest N the bus of website of getting on the bus described in distance.
Fig. 3 is the schematic diagram of a public traffic management platform of the present invention embodiment.As shown in Figure 3, public traffic management platform comprises receiving element 301, extraction unit 302, query unit 303, locating information determining unit 304, predicting unit 305 and transmitting element 306.Wherein:
Receiving element 301, for receiving the inquiry request that inquiry terminal sends, wherein inquiring user is when inquiring about the arrival time of specifying public bus network, sends described inquiry request by inquiry terminal; Also for the terminal location information that the terminal receiving user by bus sends, wherein user is when taking bus by bus, and the terminal of user sends described terminal location information with the second predetermined time interval by bus.
Extraction unit 302, for receive when receiving element 301 inquiry terminal send inquiry request time, extract appointment public bus network, travel direction and bus loading zone dot information that inquiry request comprises.
Query unit 303, for predetermined very first time interval, inquires about and the terminal location information of specifying public bus network to be associated.
Locating information determining unit 304, for according to the terminal location information that inquires, website of determining to get on the bus toward described in described travel direction travel and apart from described in get on the bus the locating information of nearest N the bus of website.
Predicting unit 305, for the locating information according to i-th bus, predicts the arrival time of getting on the bus a little described in i-th bus arrival, wherein 1≤i≤N.
Transmitting element 306, for whole arrival times of prediction are sent to inquiry terminal, so that the arrival time of inquiry terminal display prediction.
In one embodiment, when transmitting element 306 is not also for inquiring with the terminal location information of specifying public bus network to be associated in query unit 303, then corresponding information is sent to inquiry terminal.
Based on the public traffic management platform for predicting public transport arrival time that the above embodiment of the present invention provides, the real-time positioning information provided by utilizing the passenger that takes bus is to replace locator information of vehicle-carrying, bus arrival predicted time can be obtained when not getting on the bus, improve Consumer's Experience.
Fig. 4 is the schematic diagram of a locating information determining unit of the present invention embodiment.As shown in Figure 4, locating information determining unit specifically comprises extraction module 401, clustering processing module 402 and selects module 403.Wherein:
Extraction module 401, in the terminal location information inquired, extracts moving direction and the locating information of the terminal of toward described in get on the bus website movement consistent with described travel direction, with alternatively locating information.
Clustering processing module 402, for carrying out clustering processing to candidate's locating information, travels the locating information of bus with the website that obtains getting on the bus toward described in described travel direction.
In one embodiment, clustering processing module 402 specifically carries out clustering processing to candidate's locating information, with the locating information set of the terminal of the website movement that obtains getting on the bus toward described in described travel direction; By the locating information mean value of each locating information set, as the locating information of corresponding bus.
Select module 403, for getting on the bus toward described in described travel direction, website travels in the locating information of bus, select apart from described in get on the bus the locating information of nearest N the bus of website.
Fig. 5 is that the present invention is for predicting the schematic diagram of a system embodiment of public transport arrival time.As shown in Figure 5, this system comprises public traffic management platform 501, the terminal 503 of inquiry terminal 502 and by bus user.Wherein:
The by bus terminal 503 of user, for user by bus when taking bus, sends to public traffic management platform 501 terminal location information be associated that to take bus with the described user that rides with the second predetermined time interval.
Inquiry terminal 502, for inquiring user when inquiring about the arrival time of specifying public bus network, sends inquiry request to public traffic management platform, and wherein inquiry request comprises appointment public bus network, travel direction and bus loading zone dot information;
Public traffic management platform 501 is the public traffic management platform that any embodiment in Fig. 3 or Fig. 4 relates to.
Based on the system for predicting public transport arrival time that the above embodiment of the present invention provides, the real-time positioning information provided by utilizing the passenger that takes bus is to replace locator information of vehicle-carrying, bus arrival predicted time can be obtained when not getting on the bus, improve Consumer's Experience.
For brevity, the terminal of an inquiry terminal and three users that ride closely is given in Figure 5.Those skilled in the art are scrutable, can arrange the terminal of multiple queries terminal and multiple user by bus within the system.
In one embodiment, inquiry terminal 502, also for after the arrival time information receiving the transmission of public traffic management platform, utilizes the prediction arrival time of arrival time information to current display received to upgrade.
Below by a concrete example, the present invention will be described.
User A goes to 1 bus to revive gate bus terminal, and plan is taken 1 bus (up direction: favour junction, Dian Chang Village to four) and gone to Dongdan.Going on the road of reviving gate bus terminal, user A sends inquiry request by mobile phone to public traffic management platform, and wherein inquiry request comprises public bus network (1 tunnel), up direction, the website of getting on the bus (recovery gate bus terminal) of specifying.
When public traffic management platform receives the inquiry request of user A transmission, inquire about the terminal location information be associated with 1 bus with predetermined time interval.These terminal location information are take passenger's locating information that timing sends to public traffic management platform because using the service of bus arrival clock alarming of 1 bus.
Public traffic management platform, in the terminal location information be associated with 1 bus inquired, extracts moving direction consistent with up direction and toward the locating information of terminal of bus loading zone point movement, with alternatively locating information.
Locating information due to each terminal has certain deviation, therefore needs the locating information to belonging to same bus to process.Such as,
Carry out clustering processing to candidate's locating information, with the locating information set of the terminal of the website movement that obtains getting on the bus toward described in described travel direction, as shown in Figure 6, the circle wherein in Fig. 6 represents a set respectively.In this process, the locating information with obvious deviation is excluded by clustering processing.Further, by the locating information mean value of each locating information set, as the locating information of corresponding bus.Next, website that described travel direction is got on the bus toward described in travels in the locating information of bus, selects distance and to get on the bus the locating information of nearest N the bus of website.
Subsequently, for the locating information of i-th bus in an above-mentioned N bus, predict the arrival time of getting on the bus a little described in i-th bus arrival, wherein 1≤i≤N, as shown in Figure 7.
Finally, whole arrival times of prediction are sent to user A, to show the arrival time of prediction on the mobile terminal of user A.
Such as, if public traffic management platform has inquired 3 No. 1 buses will arrive recovery door station, then send to user A to show the arrival predicted time of these 3 cars respectively, as shown in table 1.
| 1 bus up direction arrives the time of reviving gate bus terminal and also needing | |
| 1 | 2 minutes |
| 2 | 10 minutes |
| 3 | 15 minutes |
Table 1
After user A sees content shown in table 1, estimate within 2 minutes, to arrive in recovery gate bus terminal more difficult, then consider to take that 1 bus arrived after 10 minutes.
Go at user A in the way of reviving gate bus terminal, No. 1 car in table 1 has left recovery gate bus terminal, if after now also receiving the bus arrival time of public traffic management platform transmission, then can upgrade the arrival predicted time of current display, as shown in table 2, corresponding bus and the relationship change of getting on the bus between website are as shown in Figure 8.Like this, user A can recognize the change of current arrival predicted time in time.
| 1 bus up direction arrives the time of reviving gate bus terminal and also needing | |
| 1 | 5 minutes |
| 2 | 9 minutes |
Table 2
By implementing the present invention, following beneficial effect can be obtained:
1, the prediction of public transport arrival time is carried out, without the need to installing vehicle GPS by the positioning function of passenger's mobile terminal.
2, user by the cellphone GPS positional information of other user, can not get on the bus and can obtain bus arrival predicted time.
Thus, can effectively promote operator in smart city-professional ability in intelligent bus field, expand vast public transport customer group, being greatly convenient for people to bus trip by the prediction of public transport arrival time, for people's life provides tangible facility.
One of ordinary skill in the art will appreciate that all or part of step realizing above-described embodiment can have been come by hardware, the hardware that also can carry out instruction relevant by program completes, described program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be ROM (read-only memory), disk or CD etc.
Claims (10)
1. for predicting a method for public transport arrival time, it is characterized in that, comprising:
When receiving the inquiry request that inquiry terminal sends, extract appointment public bus network, travel direction and bus loading zone dot information that inquiry request comprises; Wherein inquiring user is when inquiring about the arrival time of specifying public bus network, sends described inquiry request by inquiry terminal;
With predetermined very first time interval, inquire about and the terminal location information of specifying public bus network to be associated; Wherein by bus user is when taking bus, and the terminal of described user by bus sends to public traffic management platform the terminal location information be associated that to take bus with the described user that rides with the second predetermined time interval;
According to the terminal location information inquired, website of determining to get on the bus toward described in described travel direction travels and the locating information of nearest N the bus of website of getting on the bus described in distance;
According to the locating information of i-th bus, predict the arrival time of getting on the bus a little described in i-th bus arrival, wherein 1≤i≤N;
Whole arrival times of prediction are sent to inquiry terminal, so that the arrival time of inquiry terminal display prediction.
2. method according to claim 1, is characterized in that,
According to the terminal location information inquired, website of determining to get on the bus toward described in described travel direction travels and the step of the locating information of nearest N the bus of website of getting on the bus described in distance comprises:
In the terminal location information inquired, extract moving direction and the locating information of the terminal of toward described in get on the bus website movement consistent with described travel direction, with alternatively locating information;
Clustering processing is carried out to candidate's locating information, travels the locating information of bus with the website that obtains getting on the bus toward described in described travel direction;
Website that described travel direction is got on the bus toward described in travels in the locating information of bus, selects the locating information of nearest N the bus of website of getting on the bus described in distance.
3. method according to claim 2, is characterized in that,
Carry out clustering processing to candidate's locating information, the step travelling the locating information of bus with the website that obtains getting on the bus toward described in described travel direction comprises:
Clustering processing is carried out to candidate's locating information, with the locating information set of the terminal of the website movement that obtains getting on the bus toward described in described travel direction;
By the locating information mean value of each locating information set, as the locating information of corresponding bus.
4. method according to claim 1, is characterized in that,
With predetermined very first time interval, inquire about with after the terminal location information of specifying public bus network to be associated, also comprise:
If do not inquire and the terminal location information of specifying public bus network to be associated, then send corresponding information to inquiry terminal.
5. for predicting a public traffic management platform for public transport arrival time, it is characterized in that, comprising receiving element, extraction unit, query unit, locating information determining unit, predicting unit and transmitting element, wherein:
Receiving element, for receiving the inquiry request that inquiry terminal sends, wherein inquiring user is when inquiring about the arrival time of specifying public bus network, sends described inquiry request by inquiry terminal; Also for the terminal location information that the terminal receiving user by bus sends, wherein user is when taking bus by bus, and the terminal of user sends described terminal location information with the second predetermined time interval by bus;
Extraction unit, for receive when receiving element inquiry terminal send inquiry request time, extract appointment public bus network, travel direction and bus loading zone dot information that inquiry request comprises;
Query unit, for predetermined very first time interval, inquires about and the terminal location information of specifying public bus network to be associated;
Locating information determining unit, for according to the terminal location information that inquires, website of determining to get on the bus toward described in described travel direction travel and apart from described in get on the bus the locating information of nearest N the bus of website;
Predicting unit, for the locating information according to i-th bus, predicts the arrival time of getting on the bus a little described in i-th bus arrival, wherein 1≤i≤N;
Transmitting element, for whole arrival times of prediction are sent to inquiry terminal, so that the arrival time of inquiry terminal display prediction.
6. public traffic management platform according to claim 5, is characterized in that, locating information determining unit specifically comprises extraction module, clustering processing module and selects module, wherein:
Extraction module, in the terminal location information inquired, extracts moving direction and the locating information of the terminal of toward described in get on the bus website movement consistent with described travel direction, with alternatively locating information;
Clustering processing module, for carrying out clustering processing to candidate's locating information, travels the locating information of bus with the website that obtains getting on the bus toward described in described travel direction;
Select module, for getting on the bus toward described in described travel direction, website travels in the locating information of bus, select apart from described in get on the bus the locating information of nearest N the bus of website.
7. public traffic management platform according to claim 6, is characterized in that,
Clustering processing module specifically carries out clustering processing to candidate's locating information, with the locating information set of the terminal of the website movement that obtains getting on the bus toward described in described travel direction; By the locating information mean value of each locating information set, as the locating information of corresponding bus.
8. public traffic management platform according to claim 5, is characterized in that,
When transmitting element is not also for inquiring in query unit with the terminal location information of specifying public bus network to be associated, then send corresponding information to inquiry terminal.
9. for predicting a system for public transport arrival time, it is characterized in that, comprising public traffic management platform, the terminal of inquiry terminal and by bus user, wherein:
The by bus terminal of user, for user by bus when taking bus, sends to public traffic management platform the terminal location information be associated that to take bus with the described user that rides with the second predetermined time interval;
Inquiry terminal, for inquiring user when inquiring about the arrival time of specifying public bus network, sends inquiry request to public traffic management platform, and wherein inquiry request comprises appointment public bus network, travel direction and bus loading zone dot information;
Public traffic management platform, the public traffic management platform according to any one of claim 5-8.
10. system according to claim 9, is characterized in that,
Inquiry terminal, also for after the arrival time information receiving the transmission of public traffic management platform, utilizes the prediction arrival time of arrival time information to current display received to upgrade.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410219946.7A CN105096639B (en) | 2014-05-23 | 2014-05-23 | Methods, devices and systems for predicting public transport arrival time |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410219946.7A CN105096639B (en) | 2014-05-23 | 2014-05-23 | Methods, devices and systems for predicting public transport arrival time |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105096639A true CN105096639A (en) | 2015-11-25 |
| CN105096639B CN105096639B (en) | 2017-08-11 |
Family
ID=54576953
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410219946.7A Active CN105096639B (en) | 2014-05-23 | 2014-05-23 | Methods, devices and systems for predicting public transport arrival time |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105096639B (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105528401A (en) * | 2015-12-02 | 2016-04-27 | 北京奇虎科技有限公司 | Bus information inquiry method and apparatus |
| CN107087261A (en) * | 2017-05-24 | 2017-08-22 | 上海与德科技有限公司 | The method and device of bus positioning |
| CN107204124A (en) * | 2016-03-16 | 2017-09-26 | 高德信息技术有限公司 | Bus recommends method and apparatus |
| CN108352001A (en) * | 2015-11-23 | 2018-07-31 | 谷歌有限责任公司 | The context of user based on computing device subscribes transport automatically |
| CN109637178A (en) * | 2018-11-29 | 2019-04-16 | 北京依途网络科技有限公司 | Vehicle arrival time determines method and apparatus |
| CN110430120A (en) * | 2019-06-25 | 2019-11-08 | 北京信息科技大学 | A kind of Bus information reminding method and system based on SNS |
| CN111724002A (en) * | 2020-07-01 | 2020-09-29 | 浪潮卓数大数据产业发展有限公司 | Method for predicting bus to be taken by user and reminding arrival information based on kNN |
| CN111798016A (en) * | 2019-04-09 | 2020-10-20 | 江西善行智能设备制造有限公司 | Method for allocating reserved waiting vehicles |
| CN113012422A (en) * | 2019-12-20 | 2021-06-22 | 百度在线网络技术（北京）有限公司 | Bus positioning method, device, equipment and storage medium |
| CN113380043A (en) * | 2021-08-12 | 2021-09-10 | 深圳市城市交通规划设计研究中心股份有限公司 | Bus arrival time prediction method based on deep neural network calculation |
| CN114158119A (en) * | 2021-12-09 | 2022-03-08 | 北京百度网讯科技有限公司 | Method and device for identifying driving direction, electronic equipment and medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2000063866A1 (en) * | 1999-04-17 | 2000-10-26 | Idmicro, Inc. | Method and system for providing an estimated time of arrival for a bus |
| US6184802B1 (en) * | 1998-10-13 | 2001-02-06 | Robert Goodman Lamb | Autonomous estimator of vehicle arrival time |
| US20020069017A1 (en) * | 1995-08-14 | 2002-06-06 | Schmier Kenneth J. | Public transit vehicle arrival information system |
| CN101123515A (en) * | 2006-08-09 | 2008-02-13 | 新世界（中国）科技传媒有限公司 | A forecast method for station reach time in digital bus system |
| CN102708701A (en) * | 2012-05-18 | 2012-10-03 | 中国科学院信息工程研究所 | System and method for predicting arrival time of buses in real time |
| CN103310651A (en) * | 2013-05-24 | 2013-09-18 | 北京市交通信息中心 | Bus arrival prediction method based on real-time traffic status information |
| CN103794074A (en) * | 2013-12-03 | 2014-05-14 | 北京科技大学 | Intelligent public transportation positioning query terminal |
-
2014
- 2014-05-23 CN CN201410219946.7A patent/CN105096639B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020069017A1 (en) * | 1995-08-14 | 2002-06-06 | Schmier Kenneth J. | Public transit vehicle arrival information system |
| US6184802B1 (en) * | 1998-10-13 | 2001-02-06 | Robert Goodman Lamb | Autonomous estimator of vehicle arrival time |
| WO2000063866A1 (en) * | 1999-04-17 | 2000-10-26 | Idmicro, Inc. | Method and system for providing an estimated time of arrival for a bus |
| CN101123515A (en) * | 2006-08-09 | 2008-02-13 | 新世界（中国）科技传媒有限公司 | A forecast method for station reach time in digital bus system |
| CN102708701A (en) * | 2012-05-18 | 2012-10-03 | 中国科学院信息工程研究所 | System and method for predicting arrival time of buses in real time |
| CN103310651A (en) * | 2013-05-24 | 2013-09-18 | 北京市交通信息中心 | Bus arrival prediction method based on real-time traffic status information |
| CN103794074A (en) * | 2013-12-03 | 2014-05-14 | 北京科技大学 | Intelligent public transportation positioning query terminal |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108352001A (en) * | 2015-11-23 | 2018-07-31 | 谷歌有限责任公司 | The context of user based on computing device subscribes transport automatically |
| US11645589B2 (en) | 2015-11-23 | 2023-05-09 | Google Llc | Automatic booking of transportation based on context of a user of a computing device |
| CN105528401A (en) * | 2015-12-02 | 2016-04-27 | 北京奇虎科技有限公司 | Bus information inquiry method and apparatus |
| CN105528401B (en) * | 2015-12-02 | 2019-04-23 | 北京奇虎科技有限公司 | Bus information inquiry method and device |
| CN107204124A (en) * | 2016-03-16 | 2017-09-26 | 高德信息技术有限公司 | Bus recommends method and apparatus |
| CN107087261A (en) * | 2017-05-24 | 2017-08-22 | 上海与德科技有限公司 | The method and device of bus positioning |
| CN109637178A (en) * | 2018-11-29 | 2019-04-16 | 北京依途网络科技有限公司 | Vehicle arrival time determines method and apparatus |
| CN111798016A (en) * | 2019-04-09 | 2020-10-20 | 江西善行智能设备制造有限公司 | Method for allocating reserved waiting vehicles |
| CN110430120A (en) * | 2019-06-25 | 2019-11-08 | 北京信息科技大学 | A kind of Bus information reminding method and system based on SNS |
| CN113012422A (en) * | 2019-12-20 | 2021-06-22 | 百度在线网络技术（北京）有限公司 | Bus positioning method, device, equipment and storage medium |
| CN113012422B (en) * | 2019-12-20 | 2023-03-21 | 百度在线网络技术（北京）有限公司 | Bus positioning method, device, equipment and storage medium |
| CN111724002A (en) * | 2020-07-01 | 2020-09-29 | 浪潮卓数大数据产业发展有限公司 | Method for predicting bus to be taken by user and reminding arrival information based on kNN |
| CN111724002B (en) * | 2020-07-01 | 2022-07-05 | 浪潮卓数大数据产业发展有限公司 | Method for predicting bus to be taken by user and reminding arrival information based on kNN |
| CN113380043A (en) * | 2021-08-12 | 2021-09-10 | 深圳市城市交通规划设计研究中心股份有限公司 | Bus arrival time prediction method based on deep neural network calculation |
| CN113380043B (en) * | 2021-08-12 | 2022-01-14 | 深圳市城市交通规划设计研究中心股份有限公司 | Bus arrival time prediction method based on deep neural network calculation |
| CN114158119A (en) * | 2021-12-09 | 2022-03-08 | 北京百度网讯科技有限公司 | Method and device for identifying driving direction, electronic equipment and medium |
| CN114158119B (en) * | 2021-12-09 | 2024-03-01 | 北京百度网讯科技有限公司 | Driving direction identification method and device, electronic equipment and medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105096639B (en) | 2017-08-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105096639A (en) | Method, device and system used for predicting bus arrival time | |
| JP6423520B2 (en) | System and method for managing service supply status | |
| US9994118B2 (en) | Optimizing vehicle recharging to maximize use of energy generated from particular identified sources | |
| CN104064024B (en) | A kind of public transit vehicle arrival time Forecasting Methodology based on historical data | |
| CN105160880A (en) | Method and device for estimating vehicle passenger state | |
| CN103885996A (en) | Method of querying real-time bus arrival information | |
| CN104615788A (en) | Information notifying method, equipment and system | |
| US20150348334A1 (en) | Travel data of transport system users | |
| CN102607584A (en) | Driving route navigation method, equipment and system | |
| CN103605725A (en) | Bus arrival time inquiring method, NFC terminal and server | |
| CN105225485A (en) | The monitoring method of a kind of Expressway Service service capacity, system and device | |
| CN105528401A (en) | Bus information inquiry method and apparatus | |
| CN106548316A (en) | A kind of intelligent auxiliary power materials measurement method based on mobile GIS | |
| CN102592470A (en) | Traffic information publishing method, device and system | |
| CN102855753A (en) | Method and platform for taxi scheduling based on real-time traffic | |
| CN103593997A (en) | Intelligent public transport positioning and inquiring system | |
| CN105070039A (en) | Carpool method based on path management | |
| CN105318878A (en) | Vehicle control method based on wireless terminal and the wireless terminal | |
| CN106981189B (en) | intelligent bus running route setting method and system | |
| CN103778800A (en) | Method for setting system for notifying arrival time of small-station-space bus in advance | |
| CN107221183B (en) | real-time station reporting method and device for public transport means | |
| CN112669604B (en) | Urban traffic scheduling method and device | |
| JP2018045616A (en) | Management device and management system | |
| CN104956420B (en) | Watch for Train delay is notified | |
| CN103034938A (en) | Journey management system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |