CN104574255A - Method and device of providing users with travel routes - Google Patents
Method and device of providing users with travel routes Download PDFInfo
- Publication number
- CN104574255A CN104574255A CN201510048217.4A CN201510048217A CN104574255A CN 104574255 A CN104574255 A CN 104574255A CN 201510048217 A CN201510048217 A CN 201510048217A CN 104574255 A CN104574255 A CN 104574255A
- Authority
- CN
- China
- Prior art keywords
- trip route
- user
- probability
- calculating
- route
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
- G16Z99/00—Subject matter not provided for in other main groups of this subclass
Abstract
An embodiment of the invention discloses a method of providing users with travel routes. The method includes: acquiring all possible travel routes of users; calculating a probability of each travel route; according to the probabilities, ranking all possible travel routes of the users; providing the users with a list of travel routes. The method has the advantages that the list of travel routes can be provided for the users, the users need to not manually input current travel routes and but directly select in the provided list of travel routes when using related traffic software, service efficiency of the related traffic software is greatly improved and user experience is improved.
Description
Technical field
Embodiments of the invention relate to provides trip route to user, is specifically related to a kind of method and apparatus providing trip route to user.
Background technology
Along with the fast development of internet and mobile device, occurred more and more location Based service (LBS) application software, the large class in LBS application is transport services class software, such as chauffeur software, software of making a reservation, express delivery software etc.
Such as, the call service mode relating to the software of transport services is in the market that after starting software, load map, then user realizes call service by the mode of audio call and text event detection destination.The mode of this call service can meet all demands, but enough not convenient.First, after starting software, need first to load map, the time of general loading map is longer, consumes customer flow simultaneously; Secondly, the scene of a lot of call service is all that chauffeur in morning is gone to work, chauffeur in evening is come home from work, or cries meal to company at lunch or dinner period.Under such a scenario, user waits for Bootload map at every turn, then realizes calling by the mode of audio call and text event detection destination and seems and repeat very much and poor efficiency.
Summary of the invention
Embodiments of the invention aim to provide a kind of method and apparatus providing trip route to user, make user when using relevant traffic class software without the need to each trip route that all manually input is current, but directly select from the trip route list provided, thus improve service efficiency and the Consumer's Experience of relevant traffic class software.
According to an aspect of the present invention, provide a kind of method providing trip route to user, comprising: all possible trip route obtaining user; Calculate the probability of each trip route; According to the probability of described calculating, all possible trip route of described user is sorted; And the list of trip route is provided to described user.
In one embodiment, described trip route comprises set out address and destination address.
In another embodiment, all possible trip route obtaining user comprises: obtain the trip route that described user presets; And/or the history trip route of described user is drawn by large data operation.
In a further embodiment, the probability calculating each trip route comprises: the historical probabilities calculating each trip route described; And based on described historical probabilities and/or the information relevant to trip route, calculate the probability of each trip route described.
In a further embodiment, the described information relevant to trip route comprises: current location; Current weather conditions; Current date; And/or current time.
In a further embodiment, according to the probability of described calculating, sequence is carried out to all possible trip route of described user and comprises: according to the probability order from big to small of described calculating, all possible trip route of described user is sorted.
According to a further aspect in the invention, provide a kind of equipment providing trip route to user, comprising: acquisition device, for obtaining all possible trip route of user; Calculation element, for calculating the probability of each trip route; Collator, for the probability according to described calculating, sorts to all possible trip route of described user; And output unit, for providing the list of trip route to described user.
In one embodiment, described trip route comprises set out address and destination address.
In another embodiment, described acquisition device comprises: the first acquiring unit, for obtaining the trip route that described user presets; And/or second acquisition unit, for being drawn the history trip route of described user by large data operation.
In a further embodiment, described calculation element comprises: the first computing unit, for calculating the historical probabilities of each trip route described; And second computing unit, for based on described historical probabilities and/or the information relevant to trip route, calculate the probability of each trip route described.
In a further embodiment, the described information relevant to trip route comprises: current location; Current weather conditions; Current date; And/or current time.
In a further embodiment, described collator is used for the probability order from big to small according to described calculating, sorts to all possible trip route of described user.
Embodiments of the invention can provide trip route to user, make user when using relevant traffic class software without the need to each trip route that all manually input is current, but directly select from the trip route list provided, thus greatly improve service efficiency and the Consumer's Experience of relevant traffic class software.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, and form a application's part, schematic description and description of the present invention, for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the process flow diagram of the method 100 providing trip route according to an embodiment of the invention to user;
Fig. 2 is the structured flowchart of the equipment 200 providing trip route according to an embodiment of the invention to user.
Embodiment
Fig. 1 illustrates the process flow diagram of the method 100 providing trip route according to an embodiment of the invention to user, comprising following step S101 to step S104.
In step S101, obtain all possible trip route of user.
The mode obtaining all possible trip route of user has multiple.Such as, user can preset multiple conventional trip route; Or, use large data operation to go out the possible all trip route of user according to user's go off daily data, consumption habit etc.
Next, the method proceeds to step S102, calculates the probability of each trip route.According to embodiments of the invention, step S102 comprises: the historical probabilities calculating each trip route described; And based on described historical probabilities and/or the information relevant to trip route, calculate the probability of each trip route described.
The historical probabilities of each trip route can by obtaining the calculating of user's history trip data.Such as, all trip route of the user obtained is respectively R
1, R
2... R
n; The number of times of having gone on a journey corresponding to each trip route is respectively C
1, C
2... C
n.Suppose that user at least once went on a journey once, namely
so the historical probabilities of each trip route is respectively
Can draw, for the trip route C that obtained user presets
iif user never goes on a journey by this path, i.e. C
i=0, then this path R
ihistorical probabilities be 0.
The information relevant to trip route described herein is the finger factor that can impact user's Selecting Travel Paths specifically, includes but not limited to user's current location, current weather conditions, current date, current time etc.The consumer behavior of user, refers to that user is subject to the impact of demand motive and makes consumption and determine and complete the behavior of process of consumption.Consumer behavior process is thinking, the mental process of user, be also constantly take action, generation scheme, the process of dealing with problems.User's Selecting Travel Paths is exactly a kind of process of consumer behavior.Usually, user can determine the trip requirements of self according to the various conditions in self and the external world.Such as, the work hours on weekdays, be in the current position of user, then user most possibly selects the company of calling a taxi; Quitting time on weekdays, the current position of user is in company, then user most possibly selects to call a taxi to go home; And if the quitting time at weekend, then user probably selects the public place of entertainment such as bar or cinema of calling a taxi.And for example, for sleety weather, the trip desire of user may not strongly, once select trip, most possible destination is apart from the relevant main place of not far daily life, as bank, hospital or supermarket etc.
According to embodiments of the invention, the probability calculating each trip route can obtain based on the historical probabilities calculated.Such as, all trip route of the user obtained is respectively R
1, R
2... R
n; The historical probabilities calculated accordingly is respectively H
1, H
2... H
n; Then can think that the current probability of each trip route is respectively H
1, H
2... H
n.
According to another embodiment of the present invention, the probability calculating each trip route also can based on the historical probabilities calculated and the information acquisition relevant to trip route.Such as, all trip route of the user obtained is respectively R
1, R
2... R
n; The historical probabilities calculated accordingly is respectively H
1, H
2... H
n.In order to simplified characterization, only consider to only have an information relevant to trip route here: current location.The all trip route of user can be divided into two groups: address of setting out is the set of paths G1 of current location, supposes that the number of path wherein comprised is k, is respectively R
1, R
2... R
k, the historical probabilities calculated accordingly is H
1, H
2... H
k; And address of setting out is not the set of paths G2 of current location, the number of path wherein comprised is n-k, is respectively R
k+1, R
k+2... R
n, the historical probabilities calculated accordingly is H
k+1, H
k+2... H
n.For the every paths in set G2, owing to setting out, address is not current location, so the current probability of every paths in G2 is 0; And for the every paths in set G1, because address of setting out is all current location, so " current location " is to wherein often the influence coefficient of paths is identical.The probability of the every paths therefore gathered in G1 is
The probability of the every paths in set G2 is 0.Thus the trip route R that user is all
1, R
2... R
ncurrent probability be respectively
0，......0。
According to embodiments of the invention, the probability calculating each trip route also can based on the information acquisition relevant to trip route.Such as, suppose that all trip route of obtained user is as shown in the table:
User's trip route list that table 1 obtains
| Trip route ID | To set out address | Destination address |
| R 1 | Certain community | Children's palace |
| R 2 | Certain community | Senior Citizen Activity Center |
Consider that the factor (namely relevant to trip route information) that may affect user's Selecting Travel Paths is: time and weather.An influence coefficient is distributed respectively for each factor, for representing the size of this factor for the impact of the final Selecting Travel Paths of user, as shown in the table:
Table 2 time factor is for the influence coefficient of user's Selecting Travel Paths
| Trip route ID | Working day | Weekend | Festivals or holidays | Respect-for-the-Aged Day |
| R 1 | 50 | 100 | 150 | 20 |
| R 2 | 0 | 30 | 50 | 200 |
Table 3 weather conditions are for the influence coefficient of user's Selecting Travel Paths
| Trip route ID | Fine day | Rainy day | Snow sky |
| R 1 | 1 | 0.5 | 0 |
| R 2 | 1 | 0.5 | 0 |
If be festivals or holidays current and be fine day, so the choosing coefficient of two paths is respectively: the choosing coefficient of R1 is 150 × 1=150; The choosing coefficient of R2 is 50 × 1=50.Therefore, the probability of two trip route is respectively: the probability of R1 is 150/ (150+50)=75%; The probability of R2 is 50/ (150+50)=25%.If be Respect-for-the-Aged Day current and be fine day, so the choosing coefficient of two paths is respectively: the choosing coefficient of R1 is 20 × 1=20; The choosing coefficient of R2 is 200 × 1=200.Therefore, the probability of two trip route is respectively: the probability of R1 is 20/ (20+200)=9.1%; The probability of R2 is 200/ (20+200)=90.9%.
Those skilled in the art it should be understood that above example is only optional embodiment of the present invention, only for illustration of object, be not limited to the present invention.Consider there is the multiple information relevant to trip route, and often kind of information impact on every paths is varied, therefore, more complicated mathematical model can be set up for the various different information relevant to trip route, thus calculate the final probability of every paths.
Next, the method proceeds to step S103, according to the probability of described calculating, sequence is carried out to all possible trip route of described user and comprises: according to the probability order from big to small of described calculating, all possible trip route of described user is sorted.
Next, the method proceeds to step S104, provides the list of trip route to described user.User directly can select current trip route from the trip route list provided, thus send call instruction fast, and Bootload map realizes calling by the mode of audio call or manual input destination after need not be waited for, the user time of both having saved and because loading the flow that causes of map, also substantially increases service efficiency and the Consumer's Experience of this type of application software.
Fig. 2 illustrates the structured flowchart of the equipment 200 providing trip route according to an embodiment of the invention to user.As shown in Figure 2, this equipment 200 comprises: acquisition device 201, for obtaining all possible trip route of user; Calculation element 202, for calculating the probability of each trip route; Collator 203, for the probability according to described calculating, sorts to all possible trip route of described user; And output unit 204, for providing the list of trip route to described user.
According to embodiments of the invention, described trip route comprises set out address and destination address.
According to embodiments of the invention, described acquisition device comprises: the first acquiring unit, for obtaining the trip route that described user presets; And/or second acquisition unit, for being drawn the history trip route of described user by large data operation.
According to embodiments of the invention, described calculation element comprises: the first computing unit, for calculating the historical probabilities of each trip route described; And second computing unit, for based on described historical probabilities and/or the information relevant to trip route, calculate the probability of each trip route described.
According to embodiments of the invention, the described information relevant to trip route comprises: current location; Current weather conditions; Current date; And/or current time.
According to embodiments of the invention, described collator is used for the probability order from big to small according to described calculating, sorts to all possible trip route of described user.
In sum, according to the embodiment of the invention described above, provide a kind of method providing trip route to user, comprising: all possible trip route obtaining user; Calculate the probability of each trip route; According to the probability of described calculating, all possible trip route of described user is sorted; And the list of trip route is provided to described user.
Obviously, those skilled in the art should be understood that, above-mentioned of the present invention each module or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on network that multiple calculation element forms, alternatively, they can realize with the executable program code of calculation element, thus they storages can be performed by calculation element in the storage device, or they are made into each integrated circuit modules respectively, or the multiple module in them or step are made into single integrated circuit module to realize.Like this, the present invention is not restricted to any specific hardware and software combination.
The foregoing is only embodiment of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment done, equivalence replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (12)
1. a method for trip route is provided to user, comprises:
Obtain all possible trip route of user;
Calculate the probability of each trip route of described user;
According to the probability of described calculating, all possible trip route of described user is sorted; And
The list of trip route is provided to described user.
2. method according to claim 1, wherein said trip route comprises set out address and destination address.
3. method according to claim 1, all possible trip route wherein obtaining user comprises:
Obtain the trip route that described user presets; And/or
The history trip route of described user is drawn by large data operation.
4. method according to claim 1, the probability wherein calculating each trip route comprises:
Calculate the historical probabilities of each trip route described; And
Based on described historical probabilities and/or the information relevant to trip route, calculate the probability of each trip route described.
5. method according to claim 4, the wherein said information relevant to trip route comprises:
Current location;
Current weather conditions;
Current date; And/or
Current time.
6. method according to claim 1, wherein according to the probability of described calculating, sequence is carried out to all possible trip route of described user and comprises:
According to the probability order from big to small of described calculating, all possible trip route of described user is sorted.
7. an equipment for trip route is provided to user, comprises:
Acquisition device, for obtaining all possible trip route of user;
Calculation element, for calculating the probability of each trip route;
Collator, for the probability according to described calculating, sorts to all possible trip route of described user; And
Output unit, for providing the list of trip route to described user.
8. equipment according to claim 7, wherein said trip route comprises set out address and destination address.
9. equipment according to claim 7, wherein said acquisition device comprises:
First acquiring unit, for obtaining the trip route that described user presets; And/or
Second acquisition unit, for drawing the history trip route of described user by large data operation.
10. equipment according to claim 7, wherein said calculation element comprises:
First computing unit, for calculating the historical probabilities of each trip route described; And
Second computing unit, for based on described historical probabilities and/or the information relevant to trip route, calculates the probability of each trip route described.
11. equipment according to claim 10, the wherein said information relevant to trip route comprises:
Current location;
Current weather conditions;
Current date; And/or
Current time.
12. equipment according to claim 7, wherein said collator is used for the probability order from big to small according to described calculating, sorts to all possible trip route of described user.
Priority Applications (20)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510048217.4A CN104574255A (en) | 2015-01-29 | 2015-01-29 | Method and device of providing users with travel routes |
| MYPI2017001096A MY193639A (en) | 2015-01-27 | 2016-01-27 | Methods and systems for providing information for an on-demand service |
| BR112017016064-1A BR112017016064B1 (en) | 2015-02-10 | 2016-01-27 | METHODS AND SYSTEMS FOR PROVIDING INFORMATION FOR AN ON-DEMAND SERVICE |
| NZ751377A NZ751377B2 (en) | 2015-01-27 | 2016-01-27 | Methods and systems for providing information for an on-demand service |
| US15/546,657 US10458806B2 (en) | 2015-01-27 | 2016-01-27 | Methods and systems for providing information for an on-demand service |
| CA2975002A CA2975002C (en) | 2015-01-27 | 2016-01-27 | Methods and systems for providing information for an on-demand service |
| GB1712010.6A GB2550309A (en) | 2015-01-27 | 2016-01-27 | Information providing method and system for on-demand service |
| KR1020177023933A KR20180006875A (en) | 2015-01-27 | 2016-01-27 | Methods and systems for providing information for on-demand services |
| SG11201706149XA SG11201706149XA (en) | 2015-01-27 | 2016-01-27 | Methods And Systems For Providing Information For An On-Demand Service |
| EP16742766.5A EP3252704B1 (en) | 2015-01-27 | 2016-01-27 | Information providing method and system for on-demand service |
| JP2017539550A JP6637054B2 (en) | 2015-01-27 | 2016-01-27 | Method and system for providing on-demand service information |
| PCT/CN2016/072357 WO2016119704A1 (en) | 2015-01-27 | 2016-01-27 | Information providing method and system for on-demand service |
| AU2016212530A AU2016212530A1 (en) | 2015-01-27 | 2016-01-27 | Methods and systems for providing information for an on-demand service |
| PH12017501345A PH12017501345A1 (en) | 2015-01-27 | 2017-07-27 | Methods and systems for providing information for an on-demand service |
| HK18104998.4A HK1245955A1 (en) | 2015-01-27 | 2018-04-18 | Information providing method and system for on-demand service |
| US16/569,632 US11156470B2 (en) | 2015-01-27 | 2019-09-12 | Methods and systems for providing information for an on-demand service |
| AU2019101806A AU2019101806A4 (en) | 2015-01-27 | 2019-09-24 | Methods and systems for providing information for an on-demand service |
| AU2019236639A AU2019236639A1 (en) | 2015-01-27 | 2019-09-24 | Methods and systems for providing information for an on-demand service |
| JP2019228967A JP6918087B2 (en) | 2015-01-27 | 2019-12-19 | Methods and systems for providing information on on-demand services |
| US17/448,717 US11892312B2 (en) | 2015-01-27 | 2021-09-24 | Methods and systems for providing information for an on-demand service |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510048217.4A CN104574255A (en) | 2015-01-29 | 2015-01-29 | Method and device of providing users with travel routes |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104574255A true CN104574255A (en) | 2015-04-29 |
Family
ID=53090243
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510048217.4A Pending CN104574255A (en) | 2015-01-27 | 2015-01-29 | Method and device of providing users with travel routes |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104574255A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106203650A (en) * | 2016-06-30 | 2016-12-07 | 北京小米移动软件有限公司 | Call a taxi and ask sending method and device |
| CN106778216A (en) * | 2016-11-23 | 2017-05-31 | 依偎科技（南昌）有限公司 | A kind of information processing method and mobile terminal |
| WO2017124562A1 (en) * | 2016-01-24 | 2017-07-27 | 邓娟 | Method for automatically recommending route on basis of positioning service and route system |
| WO2017124560A1 (en) * | 2016-01-24 | 2017-07-27 | 邓娟 | Method for acquiring data about route recommendation technology and route system |
| CN107031430A (en) * | 2015-11-04 | 2017-08-11 | 福特全球技术公司 | Control strategy for giving electric vehicle charging on multiple positions of drive route |
| CN108023924A (en) * | 2016-10-31 | 2018-05-11 | 财付通支付科技有限公司 | A kind of information processing method, terminal and server |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1692671A (en) * | 2002-10-10 | 2005-11-02 | 松下电器产业株式会社 | Information acquisition method, information providing method, and information acquisition device |
| CN1735905A (en) * | 2002-11-07 | 2006-02-15 | 松下电器产业株式会社 | Navigation and promotion distribution system |
| US20070073477A1 (en) * | 2005-09-29 | 2007-03-29 | Microsoft Corporation | Methods for predicting destinations from partial trajectories employing open- and closed-world modeling methods |
| CN101231718A (en) * | 2008-02-15 | 2008-07-30 | 上海申通轨道交通研究咨询有限公司 | Ticket business classifying method of orbit traffic transfer |
| CN101382936A (en) * | 2007-12-25 | 2009-03-11 | 苏州中茵泰格科技有限公司 | Active interaction navigation method and system |
| CN101546314A (en) * | 2008-03-24 | 2009-09-30 | 东森得易购股份有限公司 | Method and system capable of initiatively providing place information |
| US20130066548A1 (en) * | 2011-09-09 | 2013-03-14 | Microsoft Corporation | Transport-dependent prediction of destinations |
| CN103310287A (en) * | 2013-07-02 | 2013-09-18 | 北京航空航天大学 | Rail transit passenger flow predicting method for predicting passenger travel probability and based on support vector machine (SVM) |
| CN103323018A (en) * | 2013-06-21 | 2013-09-25 | 广州市香港科大霍英东研究院 | Time-interval-based feature identification and fast search method for hotspot path |
-
2015
- 2015-01-29 CN CN201510048217.4A patent/CN104574255A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1692671A (en) * | 2002-10-10 | 2005-11-02 | 松下电器产业株式会社 | Information acquisition method, information providing method, and information acquisition device |
| CN1735905A (en) * | 2002-11-07 | 2006-02-15 | 松下电器产业株式会社 | Navigation and promotion distribution system |
| US20070073477A1 (en) * | 2005-09-29 | 2007-03-29 | Microsoft Corporation | Methods for predicting destinations from partial trajectories employing open- and closed-world modeling methods |
| CN101382936A (en) * | 2007-12-25 | 2009-03-11 | 苏州中茵泰格科技有限公司 | Active interaction navigation method and system |
| CN101231718A (en) * | 2008-02-15 | 2008-07-30 | 上海申通轨道交通研究咨询有限公司 | Ticket business classifying method of orbit traffic transfer |
| CN101546314A (en) * | 2008-03-24 | 2009-09-30 | 东森得易购股份有限公司 | Method and system capable of initiatively providing place information |
| US20130066548A1 (en) * | 2011-09-09 | 2013-03-14 | Microsoft Corporation | Transport-dependent prediction of destinations |
| CN103323018A (en) * | 2013-06-21 | 2013-09-25 | 广州市香港科大霍英东研究院 | Time-interval-based feature identification and fast search method for hotspot path |
| CN103310287A (en) * | 2013-07-02 | 2013-09-18 | 北京航空航天大学 | Rail transit passenger flow predicting method for predicting passenger travel probability and based on support vector machine (SVM) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107031430A (en) * | 2015-11-04 | 2017-08-11 | 福特全球技术公司 | Control strategy for giving electric vehicle charging on multiple positions of drive route |
| CN107031430B (en) * | 2015-11-04 | 2022-05-10 | 福特全球技术公司 | Control strategy for charging electric vehicles at multiple locations of a driving route |
| WO2017124562A1 (en) * | 2016-01-24 | 2017-07-27 | 邓娟 | Method for automatically recommending route on basis of positioning service and route system |
| WO2017124560A1 (en) * | 2016-01-24 | 2017-07-27 | 邓娟 | Method for acquiring data about route recommendation technology and route system |
| CN106203650A (en) * | 2016-06-30 | 2016-12-07 | 北京小米移动软件有限公司 | Call a taxi and ask sending method and device |
| CN108023924A (en) * | 2016-10-31 | 2018-05-11 | 财付通支付科技有限公司 | A kind of information processing method, terminal and server |
| CN106778216A (en) * | 2016-11-23 | 2017-05-31 | 依偎科技（南昌）有限公司 | A kind of information processing method and mobile terminal |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104574255A (en) | Method and device of providing users with travel routes | |
| US20190236728A1 (en) | Method and apparatus for providing information | |
| CN104200696B (en) | The method for pushing and device of a kind of transport information | |
| US20130012238A1 (en) | Method and System for Integrated Satellite Assistance Services | |
| CN104751271A (en) | Intelligent order scheduling method and server, electric vehicle, mobile terminal and system | |
| CN104751272A (en) | Intelligent order scheduling method and server, electric vehicle, mobile terminal and system | |
| US9307033B1 (en) | Scheduling alerts based on calendar and location | |
| CN104683951A (en) | Method and system for determining to-be-pushed information | |
| CN103648084A (en) | Method and system for message displaying at message notification board | |
| WO2010151442A1 (en) | Apparatus and method for automated vehicle roadside assistance | |
| US20150088562A1 (en) | Restaurant selection, wait time and attendance management | |
| CN103822630A (en) | Transference navigation method and system of public transport vehicles | |
| CN105808680A (en) | Tensor decomposition based context-dependent position recommendation method | |
| CN103067493A (en) | Service reservation method based on cloud computing | |
| CN109635980A (en) | About vehicle order allocation method and system | |
| CN103148857A (en) | Information providing method and system thereof | |
| Song et al. | Optimal deployment of managed lanes in general networks | |
| CN111080407A (en) | House information recommendation method and device, electronic equipment and readable storage medium | |
| CN107395680A (en) | Shop group's information push and output intent and device, equipment | |
| CN105897563A (en) | Information sharing method and device, and terminal | |
| JP6086697B2 (en) | Navigation system | |
| WO2017149356A1 (en) | Method and system to forecast bus arrivals to any location within a bus route | |
| CN106095960A (en) | A kind of network service recommends method and device | |
| CN105589680A (en) | Information display method, providing method and device | |
| Chen et al. | A model for taxi pooling with stochastic vehicle travel times |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150429 |
|
| RJ01 | Rejection of invention patent application after publication |