Abstract:
One or more techniques and/or systems are provided for estimating parking occupancy. For a paid parking period, parking meter transaction data may be acquired for a parking meter encompassed by a zone of one or more parking spaces. The parking meter transaction data may be evaluated to determine status data, such as an estimation of whether one or more parking spaces are available, occupied, and/or will become available. A parking occupancy, indicative of a likelihood of available parking spaces, may be estimated based upon the status data. For a free parking period, the parking occupancy may be estimated based upon vehicle flow data that is indicative of vehicles entering, parking, and/or leaving the one or more parking spaces. In this way, the parking occupancy may be provided to a driver to mitigate wasted time and/or gas otherwise spent searching for an available parking space.
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 providing users with access to a route for travelling. A user, of a client device, may send a request for access to the route to a route planning service. The route may correspond to a starting location and an ending location. The route planning service may query a route database to identify an entry indicating that a restricted access road segment (e.g., a high occupancy vehicle lane, a shoulder lane, a bus lane, etc.) and/or a road segment (e.g., comprising a traffic light alteration capability) exists between the starting location and the ending location. Responsive to successfully authorizing the user for travelling the restricted access road segment and/or the road segment, the route, comprising the restricted access road segment and/or the road segment, may be provided to the client device.
Abstract:
One or more techniques and/or systems are provided for notifying drivers to assume manual vehicle control of vehicles. For example, sensor data is acquired from on-board vehicles sensors (e.g., radar, sonar, and/or camera imagery of a crosswalk) of a vehicle that is in an autonomous driving mode. In an example, the sensor data is augmented with driving condition data aggregated from vehicle sensor data of other vehicles (e.g., a cloud service collects and aggregates vehicle sensor data from vehicles within the crosswalk to identify and provide the driving condition data to the vehicle). The sensor data (e.g., augmented sensor data) is evaluated to identify a driving condition of a road segment, such as the crosswalk (e.g., pedestrians protesting within the crosswalk). Responsive to the driving condition exceeding a complexity threshold for autonomous driving decision making functionality, a driver alert to assume manual vehicle control may be provided to a driver.
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:
One or more techniques and/or systems are provided for notifying drivers to assume manual vehicle control of vehicles. For example, sensor data is acquired from on-board vehicles sensors (e.g., radar, sonar, and/or camera imagery of a crosswalk) of a vehicle that is in an autonomous driving mode. In an example, the sensor data is augmented with driving condition data aggregated from vehicle sensor data of other vehicles (e.g., a cloud service collects and aggregates vehicle sensor data from vehicles within the crosswalk to identify and provide the driving condition data to the vehicle). The sensor data (e.g., augmented sensor data) is evaluated to identify a driving condition of a road segment, such as the crosswalk (e.g., pedestrians protesting within the crosswalk). Responsive to the driving condition exceeding a complexity threshold for autonomous driving decision making functionality, a driver alert to assume manual vehicle control may be provided to a driver.
Abstract:
One or more techniques and/or systems are provided for operating an autonomous vehicle based upon a driving preference. For example, a driving profile, comprising a driving preference (e.g., a speed preference, a route preference, etc.) of a user, may be provided to an automated driving component of the autonomous vehicle. An operational parameter for the autonomous vehicle may be generated based upon the driving preference of the user. The autonomous vehicle may be operated based upon the operational parameter. In an example, a condition of the user traveling in the autonomous vehicle may be determined, and the operational parameter for the autonomous vehicle may be adjusted based upon the condition of the user not corresponding to the driving preference.