A system for guiding evacuation at a time of a disaster, including: a wireless communicator installed at a vehicle and is able to receive information relating to occurrence of a disaster from an external communication device; a display installed at the vehicle and that is able to display information; a notification device installed at the vehicle and that is able to notify an occupant of the vehicle of information; and a processor coupled to a memory, the processor is configured to: in response to information expressing that a disaster has occurred being received from the wireless communicator, propose a traveling route to a destination of the vehicle, and cause the display to display the destination and the traveling route, and cause the notification device to notify the vehicle occupant of information relating to a status of crowding of at least one of the destination and the traveling route.

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for generating an avatar based on trip information. The program and method include determining that one or more criteria associated with a user correspond to a trip taken by the user during a given time interval; retrieving a plurality of media generated by a client device of the user during the given time interval; automatically selecting a plurality of avatar customizations to represent the trip based on the plurality of media generated by the user during the given time interval; automatically generating a trip-based avatar for the user based on the plurality of avatar customizations; and causing display of the trip-based avatar.

In some implementations, a mobile device transmits traffic information to a server for analysis. The traffic information includes movement information including detected stops and durations of detected stops. The traffic information is analyzed to detect traffic patterns that indicate locations of stop signs and/or stop lights. The traffic information is analyzed to determine durations of stops at stop signs and/or stop lights. The durations of stops is associated with a time of day and/or day of the week. In some implementations, navigational routes is determined based stop sign and/or stop light information, including the delays attributable to detected stop signs and/or stop lights.

The present disclosure relates to a system and method for locating slow or stopped vehicles on a roadway and alerting drivers approaching the back of a queue, and in particular to intelligent transportation systems and traffic management.

A method for correcting speed estimates for route planning using a machine-learned speed correction model trained on aggregated road data. Location and movement data collected from a plurality of mobile computing devices is aggregated on a server computer and used to train a speed correction model to correct estimated speeds corresponding to roads in one or more geographic regions. Speeds estimates for a road segment in a geographic region are corrected using a speed correction model trained on road data describing road segments in the same geographic region. In some embodiments, road data corresponding to one or more geographic regions is assigned to groups in training the speed correction model. The road data may be anonymized or segmented such that an originating device or route is unidentifiable. More fine-grained speed correction models may also be trained for different or additional factors than geographic region, such as day and/or time.

A method of creating map data for enhancing a digital map having a plurality of navigable segments representing a network of navigable segments by applying point locations to the map which correspond to individual events on the network; generating a heat map representing the concentrations of events according to a selected distribution function; applying a threshold calculation to the heat map to identify one or more zones, on the network having a high concentration of events; and associating the or each zone with at least one segment in the digital map.

Systems, methods, and non-transitory computer readable media configured to provide three-dimensional representations of routes. Locations for a planned movement may be obtained. The location information may include tridimensional information of a location. Route information for the planned movement may be obtained. The route information may define a route of one or more entities within the location. A three-dimensional view of the route within the location may be determined based on the location information and the route information. An interface through which the three-dimensional view of the route within the location is accessible may be provided.

In some implementations, a system may receive driving data representative of a driving pattern of a user. The system may identify a third party entity to facilitate a test drive by the user. The system may identify a geographic area within a threshold proximity of a location of the third party entity. The system may identify a plurality of waypoints within the geographic area, wherein one or more of the waypoints or one or more route segments defined by the waypoints satisfy one or more conditions based on the driving data. The system may obtain the test drive route starting and ending at the location of the third party entity and including the waypoints. The system may transmit data indicating the test drive route to at least one of a user device, an on-board computer of a test drive vehicle, or a third party device of the third party entity.

Provided are a visual interface display method and apparatus, an electronic device, and a storage medium. The display method includes determining that a target vehicle executes a driving task (S101); displaying a map within a preset range according to the real-time position of the target vehicle (S102); displaying a first object model for a first object detected by the target vehicle on the map; and displaying a second object model including at least point cloud data for a detected non-first object (S103).

The present application discloses a method and an apparatus for generating a high precision map. According to an embodiment, the method comprises: acquiring three-dimensional (3D) laser point cloud data and information related to a grid map for generating the high precision map; determining position information of each piece of the 3D laser point data of the 3D laser point cloud data in the grid map; rendering each pixel point in the grid map, by using the reflection value of corresponding 3D laser point data of the 3D laser point cloud data, in order to generate each of grid images in the grid map; identifying, by using a machine learning algorithm, traffic information of each of the grid images in the grid map; clustering the traffic information of each of the grid images in the grid map to obtain the traffic information of the grid map; and loading the traffic information of the grid map into the grid map to generate the high precision map. The embodiment implements the generating of a high precision map with a high precision and a plurality of dimensions.