Abstract:
When users travel to an intended destination, a plurality of information can be beneficial to assist their travel. If a person is traveling to a crowded event, then information can be provided such that congested traffic areas can be provided. There can be financial opportunities available in relation to providing information concerning an intended destination. An advertiser can pay money to have information played about the advertiser when it relates to the intended destination. Furthermore, a user can pay money for detailed data concerning an intended location, such as where cheapest parking is located.
Abstract:
A route can be generated through utilization of a conventional manner, such as a portable electronic device accessing a database with roads, traffic information, weather data, and the like. As a user approaches a private area, the route can be augmented with travel information concerning the private area. Artificial intelligence techniques can be used to determine if a route should be augmented, to infer what augmentations to make, etc.
Abstract:
Different incentives can be provided to a user for the user to take different routes. Information related to a user's specific situation can be gathered and a reward can be associated with a route. A user can input an intended destination and different routes can be taken, where the routes have various characteristics. The route can be analyzed and a determination can be made as to what routes can be associated with a user taking a particular route. Commonly, different companies can supply rewards such that the user travels past their advertisement or makes a stop at their store.
Abstract:
Individuals can be organized into travel groups in plans constructed in advance or in real-time to save resources and travel in an efficient manner. Multi-segment trips between starting points and destinations can be constructed with several vehicles, including private, public, and commercial transportation assets. Numerous requests for real-time or planned recurrent commutes by a population of users can be considered in a larger analysis that seeks to optimize one or more attributes such as vehicle usage and/or greenhouse emissions. Data concerning multiple related individuals can be gathered and analyzed—based upon the analysis, a determination can be made if it is logical to group individuals together such that they physically travel together. A transportation asset provider and/or individuals can be offered a reward to become part of the travel group and/or to perform specific tasks related to the travel group, such as using a vehicle with a certain fuel type.
Abstract:
In order to provide advertising to a user concerning an intended travel destination, an auction takes place where multiple companies place bids to have an advertisement disclosed. Bid selection can take place according to various parameters, including matching a user interest, a bidder that offers a highest price, etc. Bids can be solicited and then received—once a bid is selected for presentation, the advertisement can be received, evaluated, and then presented to a user.
Abstract:
Commonly targeted advertising is used to attract a specific demographic towards a particular product and/or service. An advertisement can be presented over a vehicle radio that relate to a route while a user is driving. Advertisements can be directed to a user, including such information as a user name, a user's destination, contextual information, etc. Advertisements can be masked to appear as thought they are part of a standard program; for instance, a normal radio advertiser's voice can be used.
Abstract:
A direction set can be augmented with up-to-date information such that a route to be taken by a user is changed. A user can request a direction set to take a user along a long route that minimizes cost to a user. A route can be generated using a set of known fuel prices; however, as the user travels, fuel prices can change. New fuel information can be gathered and the route can be modified based upon the gathered information.
Abstract:
The automatic generation of multiple sets of directions for navigating geographically to a specific destination without specification of an origin. Based on the destination, candidate roads or other transportation conduits are selected for analysis. Candidate meta-departure points are analyzed and selected along the roads based on distribution about the destination, cardinal directions relative to the destination, road metadata, distance to the destination, driving time, and other factors. The number of departure points generated to represent routes to the destination from the several logical cardinal directions is minimized. The generated departure points also represent routes that a majority of people would likely take to the destination. Additionally, the generated departure points originate from places that users are likely to be familiar with and can get to without additional guidance. The final instruction sets for navigating to the destination are presented along with a map that identified the departure points.
Abstract:
A geographic navigation system for segmenting a received set of instructions (or directions) that guide a user over a geographic route from a starting location to an ending location, and then abbreviating a subset of the instructions related to the inexact or familiar regions into a more concise and relevant form, yet retain all the information for guiding the user on the trip. Route segmentation occurs before instruction abbreviation by segmenting the route into multiple logical components in which abbreviation can be applied. After the need for instruction abbreviation is recognized and the route is segmented, techniques and designs are employed to generate understandable strings that describe the abbreviated directions as well as controls that allow optimization of the user experience.
Abstract:
The automatic generation of multiple sets of directions for navigating geographically to a specific destination without specification of an origin. Based on the destination, candidate roads or other transportation conduits are selected for analysis. Candidate meta-departure points are analyzed and selected along the roads based on distribution about the destination, cardinal directions relative to the destination, road metadata, distance to the destination, driving time, and other factors. The number of departure points generated to represent routes to the destination from the several logical cardinal directions is minimized. The generated departure points also represent routes that a majority of people would likely take to the destination. Additionally, the generated departure points originate from places that users are likely to be familiar with and can get to without additional guidance. The final instruction sets for navigating to the destination are presented along with a map that identified the departure points.