Abstract:
Techniques are described for using information regarding road traffic and other types of transportation-related information to determine and/or assess alternative inter-modal passenger travel options in a geographic area that supports multiple modes of transportation. For example, a particular user may have multiple alternatives for travel from a starting location to a destination location in the geographic area, including to use alternative modes of transportation (e.g., private vehicle, bus, train, walking, etc.) for some or all of the travel, and these alternatives may have different travel-related characteristics in different situations (e.g., depending on current road traffic; mass transit schedules and current actual deviations; travel-related fees for gas, parking, mass transit, etc; parking availability; etc.). Multiple alternative travel options are thus assessed for a given situation based on multiple types of information, enabling one or more preferred travel options for the given situation to be identified and used.
Abstract:
One or more techniques and/or systems are provided for parking space routing. For example, parking data for a parking region, such as a parking lot, may be obtained from one or more data sources (e.g., vehicle sensor data, a parking lot camera, parking meter transaction data, etc.). Routes from a current location of a vehicle to available parking spaces within the parking region may be computed. The routes may be ranked based upon various criteria, such as convenience, congestion, travel time, travel distance, a parking space fill order, etc. A route, having a rank above a threshold (e.g., a highest ranked route), may be provided to a driver of the vehicle, such as through a vehicle navigation unit, a mobile device, a wearable device, etc. The route may be provided to autonomous driving functionality of the vehicle for automatic routing and navigation of the vehicle to the parking space.
Abstract:
Among other things, one or more client devices, techniques, and/or systems are provided for providing linear route conditions. A linear route condition interface, presented to a user, may comprise a linear route representation (e.g., represented by a horizontal or vertical bar) of a route from a starting location to a destination location. The linear route representation depicts a first road segment, populated with a traffic flow indicator, a second road segment, populated with a second traffic flow indicator, and/or any other number of road segments between the starting location and the destination location. Responsive to identifying user indication of interest for the first road segment, supplementary information about traffic conditions on the first road segment are presented to the user. Responsive to identifying user indication of interest for the second road segment, supplementary information about traffic conditions on the second road segment are presented to the user.
Abstract:
Users who are traveling on a path between a first location and a second location may be informed by navigation devices about the user's selected route. The path may also feature two or more lanes, which may present comparative advantages (e.g., a toll-restricted lane may present less traffic, and a toll-free lane may present more traffic at a reduced cost). Presented herein are techniques for enabling navigation devices to advise users about the lanes of the path. A travel service may collect information about the respective lanes, such as traffic density and the typical travel duration of users utilizing the lane during various periods, and may transmit information about the predicted travel durations of the respective lanes to the device. Such information may enable the device to advise the user to choose a selected lane, according to the predicted travel durations of the lanes of the path.
Abstract:
Transit through an area by a population of travelers may be evaluated by a number of techniques, and may be useful for routing, transit time estimation, and transit control. Some techniques involve the use of probes, such as individuals or vehicles that are tagged and trackable through the area. However, estimating properties such as transit queue volume through probe counts may be difficult, as the ratio of probes to the overall population may vary. Presented herein are techniques for estimating transit properties by evaluating transit queues to estimate the probe ratio for an area. Such techniques involve counting and tracking the probes in a transit queue to estimate a queue length change of the transit queue, and a probe rate change of probes entering and exiting the transit queue. This information may inform estimates of the probe ratio, and in turn regional transit estimates, such as transit queue volumes.
Abstract:
A user driving a vehicle may be monitored by a device on behalf of a third party, such as employers and insurers. The device may generate an objective evidentiary record of the user's driving safety and/or proficiency for use by the third party. The user may wish to share the evidentiary record with other parties, but the third party that controls the record may not agree and/or release the record. A user-generated record of the user's driving behavior may be untrustworthy and/or unverifiable. Instead, a device of the user monitors the operation of the vehicle by the user, generates a driving profile of the user's driving behavior and risk rating, and cryptographically signs the driving profile. The cryptographically signed driving profile is transmitted to the user for sharing with third parties, e.g., potential employers and insurers, and the authenticity of the driving profile is verifiable using the cryptographic signature.
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.
Abstract:
One or more techniques and/or systems are provided for providing linear route progress. For example, a linear route progress interface, comprising a linear route representation of a route from a starting location to a destination location, may be displayed. The linear route representation may linearly represent a progress of the user along the route (e.g., as opposed to directions on a map that may otherwise visually overwhelm a user merely interested in traffic flow and/or incident information that may affect an arrival time of the user). The linear route progress interface may be populated with traffic flow indicators (e.g., traffic flow speed) and/or incident indictors (e.g., indicating accidents, construction, etc.). A user indicator, corresponding to a current position of the user, may be populated within the linear route progress interface. The user indicator and/or the linear route representation may be modified to illustrate user progress along the route.
Abstract:
Techniques are described for generating and using information regarding road traffic in various ways, including by obtaining and analyzing road traffic information regarding actual behavior of drivers of vehicles on a network of roads. Obtained actual driver behavior information may in some situations be analyzed to identify decision point locations at which drivers face choices corresponding to possible alternative routes through the network of roads (e.g., intersections, highway exits and/or entrances, etc.), as well as to track the actual use by drivers of particular paths between particular decision points in order to determine preferred compound links between those decision point locations. The identified and determined information from the analysis may then be used in various manners, including in some situations to assist in determining particular recommended or preferred routes of vehicles through the network of roads based at least in part on actual driver behavior information.
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.