The present invention relates to a detection area setting method for detecting passing vehicles, and a traffic signal control method using the same and, more particularly, to a detection area setting method for detecting passing vehicles, and a traffic signal control method using the same, the detection area setting method being capable of enabling smooth traffic operation at a crossroad, for example preventing a spillback phenomenon, minimizing green time (green light display time) during which there are no passing vehicles, and extending the green time, if needed, by setting one or a plurality of detection areas at a crossroad so as to detect the traffic volume in respective moving directions of vehicles at a signalized intersection, determining the traffic state in the moving directions of the vehicles according to vehicle information in respective detection areas, and automatically controlling the crossroad signals accordingly.

Synchronized work zone traffic management systems and methods are disclosed herein. An example method includes synchronizing, by a first vehicle, communication with a second vehicle over a wireless link, and displaying alternatingly, by the first vehicle, one of two messages on a first external display according to an alternating schema. A first message indicates to drivers to drive slowly and a second message indicates to the drivers to stop. The first message being displayed on the first external display when the second vehicle is displaying the second message on a second external display. The first vehicle displaying the second message on the first external display when the second vehicle is displaying the first message on the second external display. The alternating displaying of the first and second messages being used to control flow of traffic on a one-way street.

A method is described for performing a real time analysis of traffic flow control device related data using a plurality of vehicles connected in at least one vehicle cell network. The method compares position data from vehicles defining a traffic flow with received data for a traffic flow control device and geometry and topology data concerning a transport engineering construction related to the traffic flow control device to evaluate if a discrepancy can be detected between the geometry and topology data concerning the transport engineering construction and the traffic flow defined by the vehicles positions. The method may be used for updating and/or finding errors in the geometry and topology data concerning the transport engineering construction.

A system, a method and a device for planning a driving path for a vehicle are described. In one example aspect, the device is configured to: analyze sense data to obtain positioning data of vehicles; assign vehicle transportation tasks to an unmanned vehicle and a manned vehicle in the predetermined area in accordance with a predetermined transportation task, each vehicle transportation task including a transportation start point and a transportation end point; plan driving paths for the unmanned vehicle and the manned vehicle based on the assigned vehicle transportation tasks, the vehicle positioning data and map data; transmit the assigned transportation task and the planned driving path for the unmanned vehicle to the unmanned vehicle; and transmit the assigned transportation task and the planned driving path for the manned vehicle to a mobile device corresponding to the manned vehicle.

Disclosed are systems and methods relating to providing corridor metrics based on road network data and telematic data.

Disclosed are systems and methods relating to providing corridor metrics based on road network data and telematic data.

The disclosed technology provides solutions for facilitating the selection of a parking space by a user of a parking application. A process of the disclosed technology can include steps for monitoring sensor data and location data associated with a user device, retrieving, based on the location data associated with a user device, listing data associated with one or more parking spaces in a vicinity of the user device, and capturing image data that includes at least a portion of the one or more parking spaces. In some aspects, the process may further include steps for overlaying one or more graphical objects onto the image data, wherein the one or more graphical objects are based on the listing data associated with the one or more parking spaces. Systems and machine-readable media are also provided.

Systems and methods for determining object prioritization and predicting future object locations for an autonomous vehicle are provided. A method can include obtaining, by a computing system comprising one or more processors, state data descriptive of at least a current or past state of a plurality of objects that are perceived by an autonomous vehicle. The method can further include determining, by the computing system, a priority classification for each object in the plurality of objects based at least in part on the respective state data for each object. The method can further include determining, by the computing system, an order at which the computing system determines a predicted future state for each object based at least in part on the priority classification for each object and determining, by the computing system, the predicted future state for each object based at least in part on the determined order.

Location technologies are combined with other information systems to provide augmented information for individuals such as a traveler in an automobile.

A system and method for generating traffic reports is described. The system receives a set of inputs specifying at least a geographical region, a first period of time, and a second period of time. The system then identifies one or more streets within at least a threshold proximity of the specified geographical region and aggregates traffic information for the one or more streets over the first period of time and the second period of time, respectively. Further, the system generates a traffic report for the geographical region based at least in part on a comparison of the aggregated traffic information for the first period of time with the aggregated traffic information for the second period of time.