최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
DataON 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Edison 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
---|---|
국제특허분류(IPC7판) |
|
출원번호 | US-0773866 (2013-02-22) |
등록번호 | US-9702709 (2017-07-11) |
발명자 / 주소 |
|
출원인 / 주소 |
|
대리인 / 주소 |
|
인용정보 | 피인용 횟수 : 1 인용 특허 : 534 |
Adaptive route guidance can include analyzing route progressions associated with one or more routes based on multiple user preferences. The adaptive route guidance can provide one or more preferred routes based on the user preferences, which can be presented to a user for navigation purposes.
1. A method performed by a mobile device, the method comprising: identifying a destination that a user intends to travel to;computing one or more routes for traveling to the destination, wherein each of the one or more routes includes route progressions, a route progression indicating a discrete len
1. A method performed by a mobile device, the method comprising: identifying a destination that a user intends to travel to;computing one or more routes for traveling to the destination, wherein each of the one or more routes includes route progressions, a route progression indicating a discrete length of a road that is part of a route;for each of the one or more routes, analyzing the included route progressions based on preferences for travel associated with the user, wherein the preferences include disfavored route progressions or disfavored locations, a disfavored route progression indicating a route progression to be avoided while driving to the destination, and a disfavored location indicating a geographical area that is to be avoided while driving to the destination; andselecting a route from the one or more routes based on an aggregate number of disfavored route progressions or disfavored locations included in each route. 2. The method of claim 1, wherein the disfavored route progressions or disfavored locations are based on one or more of traffic preferences, road preferences, scenery preferences, traffic control device preference, services preferences, city preferences and speed preferences. 3. The method of claim 2, comprising: examining historical data associated with the user's actions during previous route guidance;based on the examining, determining one or more of a route progression and location avoided by the user previously; andidentifying the determined route progression or the location as a disfavored route progression or disfavored location respectively. 4. The method of claim 3, wherein a disfavored route progression or disfavored location is based on a diurnal time, the method comprising: determining a route progression or a location avoided by the user at a first time of a day, but favored by the user at a second time of the day; andidentifying the determined route progression or the location as a disfavored route progression or disfavored location respectively, wherein the identifying as a disfavored route progression or disfavored location is limited to the first time of the day. 5. The method of claim 3, wherein a disfavored route progression or disfavored location is based on a frequency of traversal, the method comprising: determining a route progression or a location traversed by the user less than a predetermined number for traveling to a particular destination; andidentifying the determined route progression or the location as a disfavored route progression or disfavored location respectively for traveling to the particular destination. 6. The method of claim 2, comprising: computing a probability that a particular route progression will include in future a certain type of activity that the particular route progression is not currently exhibiting; anddetermining the particular route progression to be a disfavored route progression based on computing the probability. 7. The method of claim 1, wherein determining the preferences associated with the user comprises at least one of: receiving the preferences directly from the user, the preferences entered through a user interface that is coupled to the mobile device,automatically deriving the preferences based upon actions of the user during a previous route guidance, andautomatically deriving the preferences using historical route data associated with the user. 8. The method of claim 1, wherein identifying the destination comprises automatically deriving destination information using historical data associated with the user, the method further comprising: examining the historical data associated with the user to derive navigation habits associated with the user; andautomatically determining destination information based on the navigation habits and utilizing one or more of date information, time information, calendar information, history information and preference information associated with the user. 9. The method of claim 8, wherein automatically determining destination information utilizing calendar information comprises: retrieving one or more calendars associated with a first user and a second user, wherein both the first user and the second user are associated with operation of the mobile device for navigation;identifying one or more calendar entries included in the retrieved calendars that are within a predetermined range of a present date and time;determining one or more prospective destinations from the identified calendar entries; andselecting one of the prospective destinations as the destination for navigation, wherein the selected destination is associated with one of the first user or the second user who is currently operating the mobile device. 10. The method of claim 8, wherein automatically determining destination information utilizing date information comprises: determining at least one of current day of the week or current time of the day;identifying, based on examining the historical data, a destination associated with at least one of the determined current day of the week or determined current time on the day; andselecting the identified destination. 11. The method of claim 8, wherein automatically determining destination information utilizing date information comprises: determining that current date is a specific holiday;identifying, based on examining the historical data, a destination previously visited by the user on the determined specific holiday; andselecting the identified destination. 12. The method of claim 1, further comprising: determining whether the destination has been reached;based on determining that the destination has not been reached, retrieving alternative routes for traveling to the destination;analyzing the route progressions included in the alternative routes based on route preferences associated with the user and metrics associated with the respective route preferences; andpresenting the one or more alternative routes to the user for rerouting to the destination. 13. The method of claim 1, wherein selecting a route from the one or more routes comprises: assigning weights to the disfavored route progressions or disfavored locations based on user route preferences;for each route, computing a score based on a combined weight for the aggregate number of disfavored route progressions or disfavored locations included in the route;ordering the one or more routes based on the computed scores; andselecting the route from the ordering of the one or more routes. 14. The method of claim 13, wherein assigning weights to the disfavored route progressions or disfavored locations comprises: determining that a first route preference is more strongly disfavored by the user compared to a second route preference; andbased on the determination, providing greater weight to a disfavored route progression or disfavored location associated with the first route preference compared to disfavored route progression or disfavored location associated with the second route preference. 15. The method of claim 1, wherein selecting a route from the one or more routes comprises: displaying graphical representations of the one or more routes to the user, wherein the graphical representations are color-coded based on route preferences associated with the user and metrics associated with the route preferences. 16. A method performed by a mobile device, the method comprising: determining preferences associated with a user of a mobile device for traveling;identifying a destination that the user intends to travel to;computing potential routes for traveling to the destination, each of the potential routes comprising route progressions, wherein a route progression includes a discrete length of a road that is part of a route for driving to a destination;for each of the potential routes, analyzing the route progressions associated with the potential route based on the preferences associated with the user and ratings for one or more of the route progressions, wherein a rating for a route progression is based on the route progression being used by a plurality of users more frequently than other similar route progressions; andbased on the analyzing, presenting one or more of the potential routes as recommended routes to the user for traveling to the destination. 17. A device comprising: a processor; andinstructions stored in a machine-readable medium for execution by the processor and configured to cause the processor to perform operations comprising: identifying a destination that a user intends to travel to;computing one or more routes for traveling to the destination, wherein each of the one or more routes includes route progressions, a route progression indicating a discrete length of a road that is part of a route;for each of the one or more routes, analyzing the included route progressions based on preferences for travel associated with the user, wherein the preferences include disfavored route progressions or disfavored locations, a disfavored route progression indicating a route progression to be avoided while driving to the destination, and a disfavored location indicating a geographical area that is to be avoided while driving to the destination; andselecting a route from the one or more routes based on an aggregate number of disfavored route progressions or disfavored locations included in each route. 18. The device of claim 17, wherein the disfavored route progressions or disfavored locations are based on one or more of traffic preferences, road preferences, scenery preferences, traffic control device preference, services preferences, city preferences and speed preferences. 19. The device of claim 18, wherein the instructions are configured to cause the processor to perform operations further comprising: computing a probability that a particular route progression will include in future a certain type of activity that the particular route progression is not currently exhibiting; anddetermining the particular route progression to be a disfavored route progression based on computing the probability. 20. The device of claim 18, wherein the instructions are configured to cause the processor to perform operations comprising: examining historical data associated with the user's actions during previous route guidance;based on the examining, determining one or more of a route progression and location avoided by the user previously; andidentifying the determined route progression or the location as a disfavored route progression or disfavored location respectively. 21. The device of claim 20, wherein a disfavored route progression or disfavored location is based on a diurnal time, and wherein the instructions are configured to cause the processor to perform operations comprising: determining a route progression or a location avoided by the user at a first time of a day, but favored by the user at a second time of the day; andidentifying the determined route progression or the location as a disfavored route progression or disfavored location respectively, wherein the identifying as a disfavored route progression or disfavored location is limited to the first time of the day. 22. The device of claim 20, wherein a disfavored route progression or disfavored location is based on a frequency of traversal, and wherein the instructions are configured to cause the processor to perform operations comprising: determining a route progression or a location traversed by the user less than a predetermined number for traveling to a particular destination; andidentifying the determined route progression or the location as a disfavored route progression or disfavored location respectively for traveling to the particular destination. 23. The device of claim 17, wherein the instructions that are configured to cause the processor to perform operations comprising determining the preferences associated with the user include instructions that are configured to cause the processor to perform operations comprising at least one of: receiving the preferences directly from the user, the preferences entered through a user interface that is coupled to the device,automatically deriving the preferences based upon actions of the user during a previous route guidance, andautomatically deriving the preferences using historical route data associated with the user. 24. The device of claim 17, wherein identifying the destination comprises automatically deriving destination information using historical data associated with the user, and wherein the instructions are configured to cause the processor to perform operations further comprising: examining the historical data associated with the user to derive navigation habits associated with the user; andautomatically determining destination information based on the navigation habits and utilizing one or more of date information, time information, calendar information, history information and preference information associated with the user. 25. The device of claim 24, wherein the instructions that are configured to cause the processor to perform operations comprising automatically determining destination information utilizing calendar information include instructions that are configured to cause the processor to perform operations comprising: retrieving one or more calendars associated with a first user and a second user, wherein both the first user and the second user are associated with operation of the device for navigation;identifying one or more calendar entries included in the retrieved calendars that are within a predetermined range of a present date and time;determining one or more prospective destinations from the identified calendar entries; andselecting one of the prospective destinations as the destination for navigation, wherein the selected destination is associated with one of the first user or the second user who is currently operating the device. 26. The device of claim 24, wherein the instructions that are configured to cause the processor to perform operations comprising automatically determining destination information utilizing calendar information include instructions that are configured to cause the processor to perform operations comprising: determining at least one of current day of the week or current time of the day;identifying, based on examining the historical data, a destination associated with at least one of the determined current day of the week or determined current time on the day; andselecting the identified destination. 27. The device of claim 24, wherein the instructions that are configured to cause the processor to perform operations comprising automatically determining destination information utilizing calendar information include instructions that are configured to cause the processor to perform operations comprising: determining that current date is a specific holiday;identifying, based on examining the historical data, a destination previously visited by the user on the determined specific holiday; andselecting the identified destination. 28. The device of claim 17, wherein the instructions are configured to cause the processor to perform operations further comprising: determining whether the destination has been reached;based on determining that the destination has not been reached, retrieving alternative routes for traveling to the destination;analyzing the route progressions included in the alternative routes based on route preferences associated with the user and metrics associated with the respective route preferences; andpresenting the one or more alternative routes to the user for rerouting to the destination. 29. The device of claim 17, wherein selecting a route from the one or more routes comprises: assigning weights to the of disfavored route progressions or disfavored locations based on user route preferences;for each route, computing a score based on a combined weight for the aggregate number of disfavored route progressions or disfavored locations included in the route;ordering the one or more routes based on the computed scores; andselecting the route from the ordering of the one or more routes. 30. The device of claim 17, wherein selecting a route from the one or more routes comprises: displaying graphical representations of the one or more routes to the user, wherein the graphical representations are color-coded based on route preferences associated with the user and metrics associated with the route preferences.
Copyright KISTI. All Rights Reserved.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.