Lane level traffic levels are determined based on traffic camera images. A controller aligns a three-dimensional map with a traffic camera view, and identifies multiple lanes in the traffic camera view based on lane delineations of the three-dimensional map. The controller calculates a traffic parameter based on the multiple lanes in image frames from the traffic camera view and provides a traffic graphic based on the traffic parameter.

The present disclosure relates to a visual communication system for a helmet comprising: an array of light emitting devices arranged inside the helmet in a manner such that light emitted by the light emitting device is visible by a user of the helmet; a data communication interface arranged to receive situational related data form one or more sources; and a processing module arranged to process the situational related data and generate a light signal providing driving or riding guidance to the user of the helmet.

This invention localizes traffic condition detection and classification to a vehicle. Vehicles work cooperatively to fuse their traffic condition assessments so as to produce larger geographical coverage and more reliable evidence of the conditions. The system can be executed on an onboard device which includes at least one of the following: GPS capabilities, connection connected to the vehicle to measure vehicle speed, or communication with a cell phone. In the example of the cell phone, speed can be computed from phone GPS, a GPRS/CDMA, or both. Otherwise, vehicle speed can be determined obtained from in-vehicle on-board diagnostic system (e.g. using the OBD-II protocol) or based on GPS and accelerometer readings.

The disclosure generally pertains to systems and methods for assisting a customer retrieve a package from an autonomous vehicle. In an example procedure, the autonomous vehicle may detect the customer waiting at a first spot and may determine that the first spot is unsuitable/unsafe for the customer to retrieve a package from a locked compartment in the autonomous vehicle. The autonomous vehicle may therefore instruct the customer to move to a second spot that is safer and closer to the compartment and may then execute an authentication procedure to authenticate the customer and unlock a door of the compartment. In an alternative approach, the autonomous vehicle may travel to a parking spot that is safer and closer to where the customer is waiting (rather than instructing the customer to move) before authenticating and unlocking the door of the compartment to allow the customer to retrieve the package.

An arrival time of a primary vehicle to arrive at a stopping location is predicted based a current path of the primary vehicle. A predicted transit time period of a secondary vehicle to move to the stopping location is received. Upon determining that a current time is a time that is the predicted transit time period subtracted from the arrival time, a message is sent from the primary vehicle to the secondary vehicle instructing the secondary vehicle to move to the stopping location.

A system for sharing and processing traffic and/or road condition information includes a number of traffic and/or road condition information computer systems within individual vehicles and/or devices and/or a virtual traffic information server on a mobile network. The traffic and/or road condition information computer systems may be each connected through a peer-to-peer radio, cellular, Wi-Fi, or other similar types of communications network, and which each operate with a database for displaying road maps, with a database storing average speed data for directions of travel along roadways, and with a location sensor used to determine the location and average speed of the vehicle or device, which may be transmitted to other vehicles. The virtual server returns average speed data for road segments, which is displayed on the road maps. The system includes sharing average speed data calculated as well average speed data received from the plurality of vehicles to other vehicles, thereby enhancing the real-time communication of traffic and/or road condition data.

A confidence value is determined for data collected for a lane assist subsystem in a vehicle. A section curvature is identified for a section of a roadway when the confidence value is below a confidence value, threshold. The section curvature includes at least one section start point and at least one section end point. The section curvature is based at least in part on a heading angle, the heading angle defining an angle between a projected line of travel of the vehicle and a line segment from a vehicle position to the section end point. A distance to a lane boundary is predicted based at least in part on the identified section curvature. One or more vehicle subsystems is actuated based at least in part on the predicted distance to the lane boundary.

The present invention is a system and method for improving the accuracy with which marketing efficacy can be measured and improved using human behavioral insights. The process aligns at least two different data sets and normalizes the information by removing statistical bias. In a particular implementation motor vehicle data is collected by census of hotelier transaction data. The transaction data is overlaid upon observed vehicle data which is captured by a triggering event. The system statistically analyses the data resulting from the combined data sets and provides a report with a recommendation to a human user.

The present invention performs analysis more appropriately on the basis of information such as location information for a plurality of moving objects. An analysis device 30 comprises: a 311 that receives changes in location information for a plurality of vehicles 50; a storage unit 32 that stores a road on which the plurality of vehicles 50 can travel, together with link information including an intersection; a link designation unit 312 that accepts a designation of the link information to be analyzed; and a control unit 313 that differentiates between respective routes of the plurality of vehicles 50 after passage through the link corresponding to the designated link information, totals the link passage times for each route, and specifies a cause of congestion on the basis of the separation between representative values for each route, said separation being based on the results of the totaling.

A hazardous vehicle detection and avoidance system is disclosed comprising a wearable device comprising one or more sensors arranged to detect one or more vehicles in an environment. An object classification system is configured to classify objects in the environment, the object classification system is in operable communication with a comparator to compare sensor information received from the one or more sensors with object information stored in an object database and determine an object classification. An analysis engine to receive the object classification and determine a hazard level of the classified object. An alert system to transmit an alert to the wearable device to alert a pedestrian of a hazardous vehicle in the environment.