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.

Various types of vehicle navigation may facilitate a driver of a vehicle, including lane suggestions (e.g., a message indicating that the current route of the vehicle involves an exit from the rightmost lane of a causeway). A device may be configured to formulate lane change suggestions by detecting a current lane of the driver; comparing the travel conditions of the current lane with the travel conditions of other lanes of the causeway; and presenting a lane change suggestion of another lane presenting advantageous travel conditions as compared with the current lane. The inclusion of the current lane in the selection and formulation of lane change suggestions may improve the relevance of the suggestions (e.g., presenting lane change suggestions only if the travel condition of another lane is advantageous over the current lane, and presenting lane change suggestions relative to the current lane, e.g., move two lanes to the left).

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.

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.

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.

Estimates may be compiled of a volume of travelers in an area, such as vehicles, pedestrians, and migratory wildlife. Such estimates are often compiled through human observation and/or the deployment of regional monitoring equipment, such as roadside cameras and road-embedded sensors; however, such techniques may entail significant costs in equipment purchase, deployment, monitoring, and maintenance, and may exhibit inadequate accuracy and/or rapidity of data collection. Presented herein are techniques for estimating a traveler volume in an area by using an aerial device, such as a drone, to capture an aerial image of the area from an aerial perspective, and applying object recognition machine vision techniques to recognize and count the travelers depicted in the aerial image. Such data may be used to estimate traveler volume; to evaluate transit patterns of the travelers throughout a region; and/or to control transit patterns of the travelers using transit control devices.

One or more techniques and/or systems are provided for providing a traffic news interface. For example, a traffic news provider component may query traffic camera data and/or traffic incident data to identify traffic cameras and/or traffic incidents along a route of a driver. The traffic cameras and/or the traffic incidents may be ranked based upon a safety metric, a travel time sensitivity metric, an alternative route selection metric, a driving behavior pattern, a driver mood, a distance of a traffic camera or traffic incident from a current user location, and/or other information used to determine how relevant information from the traffic camera and/or a traffic incident is to this particular driver. A subset of traffic cameras and/or traffic incidents may be selected for inclusion within a traffic news interface based upon camera relevancy rankings and/or incident relevancy rankings.

One or more techniques and/or systems are provided for selectively collecting vehicle telemetry data from one or more vehicles. For example, a communication data budget for a vehicle may be identified (e.g., a 5 GB per month data connection plan). A determination may be made as to whether the vehicle can provide vehicle telemetry data used to model a travel condition (e.g., road imagery, temperature, a windshield wiper state, and/or other vehicle telemetry data used to model a road safety condition). If the vehicle has remaining communication data budget available for transmission of the vehicle telemetry data without the vehicle exceeding the communication data budget for a billing cycle, then a data request for the vehicle telemetry data may be sent to the vehicle. Responsive to receiving the vehicle telemetry data from the vehicle, the travel condition may be modeled (e.g., the road condition may be determined as icy).

One or more techniques and/or systems are provided for providing driver alerts. For example, a client device module (e.g., a smartphone, a vehicle navigation unit, etc.) may collect driving behavior information (e.g., braking patterns, vehicle speed, weather conditions, acceleration/deceleration patterns, etc.) and/or user specified information (e.g., a number of passengers) of a driver driving a vehicle. The client device module may provide the driving behavior information and/or the user specified information to a driver alert provider. The driver alert provider may maintain a driver profile for the driver based upon the driving behavior information and/or the user specified information. The driver alert provider may generate a driver alert (e.g., a driver risk score of the driver) based upon the driver profile, and may provide the driver alert to other drivers that are within a threshold distance of the vehicle.

Vehicles feature various forms of automated driving control, such as speed control and braking distance monitoring. However, the parameters of automated control may conflict with the user driving behaviors of the user; e.g., braking distance maintained with respect to a leading vehicle may seem overcautious to users who prefer shorter braking distances, and unsafe to users who prefer longer braking distances. Presented herein are techniques for controlling vehicles according to the user driving behaviors of users. While a user operates a vehicle in a driving context, a device monitors various driving features (e.g., acceleration or braking) to determine various user driving behaviors. When requested to control a driving feature of the vehicle, a controller may identify the user driving behaviors of the user in the driving context, and control the driving features according to the user driving behaviors, thus personalizing automated driving to the preferences of the user.