Map Application With Improved Search Tools
US-2024344839-A1 · Oct 17, 2024 · US
US9304009B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9304009-B2 |
| Application number | US-201414172733-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 4, 2014 |
| Priority date | Feb 4, 2014 |
| Publication date | Apr 5, 2016 |
| Grant date | Apr 5, 2016 |
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An approach is provided for determining a recommended passenger embarkation point to associate with a point of interest. An embarkation platform determines one or more candidate passenger embarkation points. The embarkation platform also processes contextual information associated with the one or more passenger embarkation points, the at least one passenger, the at least one vehicle, or a combination thereof to determine at least one recommended passenger embarkation point from among the one or more candidate passenger embarkation points. Information regarding the at least one recommended embarkation point is then caused to be presented.
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What is claimed is: 1. A method comprising facilitating a processing of and/or processing (1) data and/or (2) information and/or (3) at least one signal, the (1) data and/or (2) information and/or (3) at least one signal based, at least in part, on the following: at least one determination of one or more candidate passenger embarkation points associated with at least one point of interest, wherein the one or more candidate passenger embarkation points are for at least one drop off or at least one pick up of at least one passenger of at least one vehicle; a processing of contextual information associated with the one or more passenger embarkation points, the at least one passenger, the at least one vehicle, or a combination thereof to determine at least one recommended passenger embarkation point from among the one or more candidate passenger embarkation points, wherein the contextual information includes at least weather information provided by a weather service; and a presentation of information for (1) navigating to the at least one recommended passenger embarkation point as at least one waypoint on a route to at least one point of interest, (2) determining an availability of the at least one recommended passenger embarkation point, (3) performing the at least one drop off or the at least one pick up of the at least one passenger at the at least one recommended embarkation point, or (4) a combination thereof. 2. A method of claim 1 , wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following: at least one determination of the one or more candidate passenger embarkation points, the at least one recommended passenger embarkation point, or a combination thereof based, at least in part, on at least one point-of-interest database, crowdsourcing information, probe data, navigation usage pattern data, or a combination thereof. 3. A method of claim 1 , wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following: a processing of the contextual information to determine one or more restrictions that distinguish one or more stopping locations from one or more parking locations; and at least one determination of the one or more candidate passenger embarkation points, the at least one passenger embarkation point, or a combination thereof from among the one or more stopping locations. 4. A method of claim 1 , the one or more restrictions include, at least in part, one or more parking restrictions, one or more lane restrictions, or a combination thereof. 5. A method of claim 1 , wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following: at least one determination of the at least one recommended passenger embarkation point based, at least in part, on processing and/or facilitating a processing of mapping information to determine whether performing the at least one drop off or the at least one pick up at the one or more candidate passenger embarkation points would create a blockage. 6. A method of claim 1 , wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following: at least one determination of at least one time requirement for performing the at least one drop off or the at least one pick up; and a presentation of a countdown timer of the time requirement to the at least one passenger, at least one driver of the at least one vehicle, at least one other driver of at least one other proximate vehicle, or a combination thereof. 7. A method of claim 6 , wherein the presentation of the time requirement includes, at least in part, at least one timer indicating an estimated time remaining, an elapsed time, or a combination thereof associated with the at least one drop off or the at least one pick up. 8. A method of claim 1 , wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following: a presentation of at least one option in a navigation user interface to initiate at least one request for the one or more passenger embarkation points, the at least one passenger embarkation points, or a combination thereof. 9. A method of claim 1 , wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following: a transmission of at least one message from the at least one vehicle to at least one other vehicle within proximity of the one or more candidate passenger embarkation points, the at least one recommended passenger embarkation point, or a combination thereof, wherein the at least one message indicates, at least in part, an intent to perform the at least one drop off or the at least one pick up; and at least one determination of whether to recommend performing the at least one drop off or the at least one pick up based, at least in part, on at least one response to the at least one message. 10. A method of claim 1 , wherein the contextual information includes, at least in part, parking information, traffic information, traffic light information, public transport schedule information, a number of the at least one passenger, physical capability information of the at least one passenger, seat sensor information, luggage information, parcel information, environmental condition information, obstruction information, or a combination thereof. 11. An apparatus comprising: at least one processor; and at least one memory including computer program code for one or more programs, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following, determine one or more candidate passenger embarkation points associated with at least one point of interest, wherein the one or more candidate passenger embarkation points are for at least one drop off or at least one pick up of at least one passenger of at least one vehicle; process and/or facilitate a processing of contextual information associated with the one or more passenger embarkation points, the at least one passenger, the at least one vehicle, or a combination thereof to determine at least one recommended passenger embarkation point from among the one or more candidate passenger embarkation points, wherein the contextual information includes at least weather information provided by a weather service; and cause, at least in part, a presentation of information for (1) navigating to the at least one recommended passenger embarkation point as at least one waypoint on a route to at least one point of interest, (2) determining an availability of the at least one recommended passenger embarkation point, (3) performing the at least one drop off or the at least one pick up of the at least one passenger at the at least one recommended embarkation point, or (4) a combination thereof. 12. An apparatus of claim 11 , wherein the apparatus is further caused to: determine the one or more candidate passenger embarkation points, the at least one recommended passenger embarkation point, or a combination thereof based, at least in part, on at least one point-of-interest database, crowdsourcing information, probe data, navigation usage pattern data, or a combination thereof. 13. An apparatus of claim 11 , wherein the apparatus is further caused to: process and/or facilitate a processing of the contextual information to determine one or more restrictions that distinguish one or more stopping locations from one or more parking locations; and determine the one or
Rendezvous; Ride sharing · CPC title
using user history, behaviour, conditions or preferences, e.g. predicted or inferred from previous use or current movement · CPC title
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