Systems and methods are disclosed for monitoring or affecting movement of a vehicle using a traffic device. An event data source may have a processor and/or a transceiver. The event data source may transmit, via the transceiver and to a vehicle and infrastructure computing device, information indicative of an event affecting a portion of road. The vehicle and infrastructure computing device may comprise a vehicle and infrastructure control computer. The vehicle and infrastructure computing device may receive, from the event data source, the information indicative of the event affecting the portion of road. The computing device may determine one or more traffic devices associated with the portion of road and configured to control traffic for the portion of road. Based on the information indicative of the event affecting the portion of road, the computing device may send, to the one or more traffic devices associated with the portion of road, instructions to change one or more characteristics of the one or more traffic devices.

Systems and methods are disclosed for monitoring or affecting movement of a vehicle using a traffic device. An event data source may have a processor and/or a transceiver. The event data source may transmit, via the transceiver and to a vehicle and infrastructure computing device, information indicative of an event affecting a portion of road. The vehicle and infrastructure computing device may comprise a vehicle and infrastructure control computer. The vehicle and infrastructure computing device may receive, from the event data source, the information indicative of the event affecting the portion of road. The computing device may determine one or more traffic devices associated with the portion of road and configured to control traffic for the portion of road. Based on the information indicative of the event affecting the portion of road, the computing device may send, to the one or more traffic devices associated with the portion of road, instructions to change one or more characteristics of the one or more traffic devices.

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.

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.

Systems and methods are provided for predicting blind spot incursions for a host vehicle. In one implementation, a navigation system for a host vehicle may comprise a processor. The processor may be programmed to receive, from an image capture device located on a rear of the host vehicle, at least one image representative of an environment of the host vehicle. The processor may be programmed to analyze the at least one image to identify an object in the environment of the host vehicle and to determine kinematic information associated with the object. The processor may further be programmed to predict, based on the kinematic information, that the object will travel in a region outside of a field of view of the image capture device and perform a control action based on the prediction.

The present disclosure provides a method and apparatus for detecting a traffic anomaly, a device, a storage medium and a computer program product, relates to the field of artificial intelligence, and specifically to computer vision and deep learning technologies, and can be applied to intelligent transportation scenarios. A specific implementation of the method comprises: acquiring a traffic video stream; performing vehicle detection tracking on the traffic video stream to determine whether there is an abnormally stopped vehicle, wherein a stop with a time length exceeding a preset time length belongs to an abnormal stop; and performing a traffic anomaly classification on a video frame corresponding to the abnormal stop using a decision tree to obtain a traffic anomaly type, if there is the abnormally stopped vehicle, wherein the decision tree is generated based on features for a traffic anomaly detection.

A system for collecting traffic information includes a vehicle having at least one sensor for collecting dead reckoning (DR) information, and a global positioning system (GPS) receiver configured to receive GPS information, and a server that maps the DR information and the GPS information to a server map to generate first map matching information, and collects the first map matching information as the traffic information when it is determined that a version of a software platform of the vehicle is a latest version and all the DR information and the GPS information are received.

Location polygons are defined along traffic lanes and parking spaces to facilitate determination of the location of a vehicle relative to features associated with the location polygons. The location polygons are used, in one application, to identity entrance and exit of a special toll lane along a roadway, and to ensure that the vehicle properly enters and exits the tolling lane.

Disclosed are a virtual parking space establishment system and a method. The virtual parking space establishment system includes a data acquiring module, a data processing module, a parking space control module, a wireless communication module and a client; the data acquiring module is used for acquiring traffic flow data; the data processing module is used for processing and analyzing the traffic flow data; the parking space control module is used for establishing or canceling virtual parking spaces according to analysis results of the traffic flow data; the wireless communication module is used for providing a wireless network link between the client and the parking space control module; the client is used for viewing virtual parking space information.

Disclosed are a virtual parking space establishment system and a method. The virtual parking space establishment system includes a data acquiring module, a data processing module, a parking space control module, a wireless communication module and a client; the data acquiring module is used for acquiring traffic flow data; the data processing module is used for processing and analyzing the traffic flow data; the parking space control module is used for establishing or canceling virtual parking spaces according to analysis results of the traffic flow data; the wireless communication module is used for providing a wireless network link between the client and the parking space control module; the client is used for viewing virtual parking space information.