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.

Systems and methods navigate a vehicle by determining a free space region in which the vehicle can travel. In one implementation, a system may include at least one processor programmed to receive from an image capture device, a plurality of images associated with the environment of a vehicle, analyze at least one of the plurality of images to identify a first free space boundary on a driver side of the vehicle and extending forward of the vehicle, a second free space boundary on a passenger side of the vehicle and extending forward of the vehicle, and a forward free space boundary forward of the vehicle and extending between the first free space boundary and the second free space boundary. The first free space boundary, the second free space boundary, and the forward free space boundary may define a free space region forward of the vehicle. The at least one processor of the system may be further programmed to determine a navigational path for the vehicle through the free space region and cause the vehicle to travel on at least a portion of the determined navigational path within the free space region forward of the vehicle.

Technologies disclosed herein facilitate identification of a trip route from an origin of a user to a desired destination of the user, wherein the trip route includes multiple transportation modalities, at least one of which is an autonomous vehicle (AV), and dispatching of the AV to a pickup location for the user in connection with providing transportation to the user along a portion of the identified trip route.

An example integrated circuit (IC) die in a multi-die IC package, the multi-die IC package having a test access port (TAP) comprising a test data input (TDI), test data output (TDO), test clock (TCK), and test mode select (TMS), is described. The IC die includes a Joint Test Action Group (JTAG) controller having a JTAG interface that includes a TDI, a TDO, a TCK, and a TMS, a first output coupled to first routing in the multi-die IC package, a first input coupled to the first routing or to second routing in the multi-die IC package, a master return path coupled to the first input, and a wrapper circuit configured to couple the TDI of the TAP to the TDI of the JTAG controller, and selectively couple, in response to a first control signal, the TDO of the TAP to either the master return path or the TDO.

The present invention discloses a vehicle speed prediction method. The vehicle speed prediction method comprises the following steps: calculating a short-term predicted vehicle speed; calculating a long-term predicted vehicle speed; calculating a mixed predicted vehicle speed according to the short-term predicted vehicle speed and the long-term predicted vehicle speed; and calculating a route running time according to the predicted vehicle speed of each road of the route.

A navigation method includes establishing a communication connection between a first electronic device and a second electronic device. A current position of the first electronic device is obtained. The current position of the first electronic device is sent to the second electronic device. Once a confirmed navigation route is obtained from the second electronic device, navigate according to the confirmed navigation route.

Aspects of the disclosure relate to pre-computing routes for autonomous vehicles using map shards. For example, a shard from a plurality of shards of a map may be selected. Each shard including a plurality of nodes and edges connecting pairs of nodes of the plurality of nodes, and each node of the plurality represents a location. A plurality of port nodes for the shard are identified. Each port node has an edge that enters into the selected shard or exists the selected shard. For each port node of the plurality having an edge that enters into the selected shard, optimal routes to each other port node of the plurality having an edge that exits the selected shard may be determined. The optimal routes for the selected shard may be sent to the autonomous vehicles in order to enable the autonomous vehicles to use the optimal routes to determine routes.

An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

A system accesses a three-dimensional map of a geographic region and generates a two-dimensional projection of the road based on the three-dimensional map. The two-dimensional projection comprises a plurality of points along the road and each point is assigned a score measuring a navigability of the point. Based on the navigability score of each point and history of vehicle positions on the road, the system identifies a plurality of navigable points on the two-dimensional projection of the road. Based on the plurality of navigable points, the system determines a navigable surface corresponding to a physical area over which a vehicle may safely navigate and navigable surface boundaries surrounding that area. The navigable surface area and boundaries on the two-dimensional projection are converted into a three-dimensional representation, which the system uses to generate an updated three-dimensional map of the geographic region.

A vehicular drive assist system performs drive assist for a vehicle traveling in each predetermined area while receiving a feedback on evaluation relating to ease of travel on a road in each of the areas. In the system, a management center performs evaluation of ease of travel on a road for each of the areas on the basis of information obtained from the vehicle and feeds back the evaluation result to the vehicle. In this case, a variation width of the evaluation relating to ease of travel is restricted on a basis of static factors of road environment for each of the areas.