Abstract:
Vehicular travel may be facilitated by user interfaces presenting travel information. Such user interfaces often involve visual displays positioned peripherally to a window through which an individual operates the vehicle (e.g., displays mounted in a dash or console) and/or non-visual interfaces (e.g., audio, speech recognition, and manual controls). While presenting visuals on the window obscuring the view of the individual may present safety concerns, peripherally presented visual interfaces that distract the gaze of the individual may raise comparable or greater concerns. Instead, visual user interfaces may be displayed on the window through which the individual operates the vehicle (e.g., a windshield or individual eyewear) to presents visuals representing travel information received from a travel service, such as routing, traffic congestion, highlighting vehicles or routes, and rendering non-visible objects (e.g., obscured traffic control signals). Such user interfaces enable user interaction while allowing the individual to maintain gaze through the window.
Abstract:
One or more techniques and/or systems for providing congestion information for a road segment presently experiencing traffic congestion and/or likely to experience traffic congestion in the future are provided. In some embodiments, traffic models are configured to determine road segments where traffic congestion is likely to occur, to determine a cause of traffic congestion, and/or to determine the effect of such traffic congestion (e.g., the duration of such traffic congestion, the expected time delays due to such traffic congestion, etc.). Congestion information indicative of the cause of congestion and/or the effect(s) of such traffic congestion, for example, may be provided to a user to explain to the user why the congestion is occurring, to describe one or more road segments to avoid, and/or to explain why a particular route was selected as a preferred route to a destination, for example.
Abstract:
Among other things, one or more techniques and/or systems are provided for authorizing an action using vehicle identification information (e.g., supplied by a vehicle) and user identification information (e.g., supplied by a mobile device associated with a user of the vehicle). Such an action may relate to, among other things, refueling the vehicle, parking the vehicle, using a fee-based road segment, and/or other vehicle-centric actions, for example. Moreover, in one embodiment, as part of the authorization, a payment transaction may be initiated by an authorization system configured to authorize the action.
Abstract:
For an advertisement opportunity near a travel region, advertisements may be selected that are targeted to individuals who are likely to view the advertisement. However, travel patterns among individuals sharing particular traits may exist that facilitate targeted advertising, but may be non-intuitive and therefore difficult to predict, and other techniques, such as population surveys, may be costly and inaccurate. Presented herein are techniques for automatically evaluating travel patterns by tracking the routes of particular individuals, and inferring demographics for such individuals based on the locations of their routes (e.g., an individual whose route frequently includes a residence may be presumed to share the population demographics of the residential neighborhood). Extrapolating such individual demographics may enable inference of shared demographics at particular advertisement opportunities (e.g., among travelers who frequently travel on a particular road at a particular time of day) and the selection of advertisements more closely targeting such individuals.
Abstract:
Techniques are described for assessing road traffic conditions in various ways based on obtained traffic-related data, such as data samples from vehicles and other mobile data sources traveling on the roads and/or from one or more other sources (such as physical sensors near to or embedded in the roads). The road traffic conditions assessment based on obtained data samples may include various filtering and/or conditioning of the data samples, and various inferences and probabilistic determinations of traffic-related characteristics of interest from the data samples. In some situations, the inferences include repeatedly determining current traffic flow characteristics and/or predicted future traffic flow characteristics for road segments of interest during time periods of interest, such as to determine average traffic speed, traffic volume and/or occupancy, and include weighting various data samples in various ways (e.g., based on a latency of the data samples and/or a source of the data samples).