Techniques enable selection of traffic cameras for display to a user, where the techniques involve determining a primary route and an alternate route, determining a first intersection between the primary route and the alternate route, and obtaining camera metadata identifying multiple cameras, where the camera metadata defines aspects such as positioning data, direction, status data, and image data for individual traffic cameras. The techniques also involve determining a priority score for individual cameras using the camera metadata, where the priority score is based, at least in part, on proximity to the first intersection between the primary route and the alternate route. The techniques then involve selecting at least one traffic camera based on the priority score of the camera and communicating image data of the camera for display on a display device.

A time-segmented signal timing method is related to the field of intelligent transportation. The specific implementation is: obtaining traffic volume data of a target intersection in each period of time of N consecutive days, N being an integer greater than 1; performing curve fitting on the traffic volume data to determine a traffic volume curve corresponding to the target intersection of each day; determining calculating respective target points in the traffic volume curve with second derivatives satisfying a preset condition; and performing time-segmented signal timing on a traffic light at the target intersection based on time points corresponding to the respective target points.

A mobile apparatus receives a route response including information identifying a starting location and a target location of a route and an encoding data structure encoding the route. The encoding data structure is a probabilistic data structure configured to not provide false negatives. The mobile apparatus uses the information identifying the starting and target locations to identify a decoded origin traversable map element (TME) and a decoded target TME of the mobile version of the digital map for the route; accesses map information for determining a cost value for TMEs of the digital map, wherein a TME that satisfies the encoding data structure is assigned a minimal cost value; determines a decoded route from the decoded starting TME to the decoded target TME based on the cost value assigned to the TMEs using a cost minimization route determination algorithm; and performs at least one navigation function using the decoded route.

A method includes of routing an autonomous vehicle includes receiving information obtained from a camera on a second vehicle distinct from the autonomous vehicle. The method includes automatically identifying a road condition using image analysis of the information received from the camera on the second vehicle. The method includes receiving a request to route the autonomous vehicle from a first location to a second location; and in response to the request: generating a cost model for routing the autonomous vehicle, wherein the cost model includes a cost of the road condition automatically identified from the information received from the camera on the second vehicle; selecting a route from the first location to the second location in accordance with the cost model; and routing an autonomous vehicle in accordance with the selected route.

A method of operation of a vehicle system including capturing a current image from a current location towards a travel direction along a travel path; generating an image category for the current image based on a weather condition, the current location, or a combination thereof; determining a clear path towards the travel direction of the travel path based on the image category, the current image, and a previous image; and communicating the clear path for assisting in operation of a vehicle.

A server for providing a pickup service, a system including the same, and a method thereof are provided. The server includes a communication device that performs communication between a vehicle terminal of a vehicle which is traveling according to a route from a starting point to a destination and a user terminal of a user scheduled to ride in the vehicle, a processor that shares a list of pickup positions which are places where the user rides in the vehicle with the vehicle terminal or the user terminal based on a route of the vehicle and a position of the user, and a storage storing data and an algorithm run by the processor.

A method for pushing multimedia information, an electronic device, and a non-transitory computer readable storage medium are provided. The method includes the following. Upon detecting that a vehicle is in a traveling state and the vehicle is traveling at a speed lower than a preset speed threshold within a preset time period, navigation data of the vehicle is provided. Duration that the vehicle is in a congestion state is estimated according to the navigation data. Collect scene information in the vehicle. Push multimedia information according to the duration that the vehicle is in the congestion state and the scene information in the vehicle.

Provided is an information processing device that includes a planning unit that sets a joining route on the basis of information about at least one of a planned route of a user mobile unit that uses a service or a planned route of a provider mobile unit that provides the service, the joining route being a zone for the user mobile unit and the provider mobile unit to receive and provide the service, and makes a movement plan including at least one of a route plan for the user mobile unit or a route plan for the provider mobile unit based on the joining route. The information processing device further includes a service provision unit that controls provision of the service so that the user mobile unit and the provider mobile unit receive and provide the service while moving on the joining route.

A method at a computing device for attributing a cause to a border delay, the method including determining that a vehicle has entered a border geofence; obtaining sensor data from the vehicle; and correlating the sensor data with the determining that the vehicle has entered the geofence to attribute the cause to the border delay.

Various examples are directed to systems and methods for routing an autonomous vehicle. For example, a system may access temporal data comprising a first temporal data item. The first temporal data item may describe a first roadway condition, a first time, and a first location. The system may also access a routing graph that comprises a plurality of route components and determine that a first route component of the routing graph corresponds to the first location. The system may generate a constrained routing graph at least in part by modifying the first route component based at least in part on the first roadway condition. The system may additionally generate a route for an autonomous vehicle using the constrained routing graph; and cause the autonomous vehicle to begin traversing the route.