A controlled intersection employs video analytics to identify incoming vehicles coupled with autonomous driving capabilities in the vehicle to selectively provide intervention for collision avoidance. A camera image of an approaching vehicle is used to identify a range and speed, and to compute whether intervention is appropriate based on a detected distance and speed from the intersection. A vehicle approaching a stop signal (e.g. “red light”) at an unsafe rate of speed triggers an invocation of on-board autonomous systems in the vehicle that provide appropriate warnings and ultimately, forced braking if warnings go unheeded. A registration system maintains a local grouping of vehicles in proximity to an intersection for minimizing latency in vehicle identification for commencing intervention. In this manner, on-board vehicle collision avoidance systems collaborate with complementary traffic control logic at a controlled intersection for preventing inadvertent or intentional disregard of a red signal.

A method of generating a control signal for a traffic light, a device, and a medium are provided, which relate to a field of intelligent transportation. The method of generating the control signal for the traffic light includes: determining, in response to receiving a plurality of traffic data sets from different data sources, a plurality of traffic congestion data corresponding to the plurality of traffic data sets respectively based on the plurality of traffic data sets; calculating fused traffic congestion data based on the plurality of traffic congestion data and weights respectively corresponding to the plurality of traffic congestion data; and generating, based on the fused traffic congestion data, a control signal for controlling the traffic light.

A feature-rich, improved vehicle traffic signal control system that uses network technology is provided herein. For example, the improved vehicle traffic signal control system may include a control box and light heads that include processors. The control box in the improved vehicle traffic signal control system may include fewer components and/or fewer wires extending therefrom as compared to a typical control box. In particular, the control box in the improved vehicle traffic signal control system may not include relays, a conflict monitor, or other similar components. Rather, the improved control box may simply include a controller that is coupled to various light heads via Ethernet cables. The Ethernet cables can carry electrical power, thereby providing power to the light heads. The light head processors can use network technology to control light activation, to perform conflict monitoring, to receive data from various sensors to adjust traffic flow, etc.

A computer system that performs a remedial action is described. During operation, the computer system may receive information corresponding to traffic conditions in an environment (such as traffic flows in at least a portion of a city), where the information is associated with different types of sources distributed in the environment, and the environment includes multiple intersections and roadways. Then, the computer system may identify an event in at least a portion of the environment based at least in part on the information, such as predicting a change in a traffic condition in the environment in a subsequent time interval. Next, the computer system may perform a remedial action based at least in part on the identified event, such as: providing an alert about the event; providing an instruction based at least in part on the event; and/or modifying traffic management in at least the portion of the environment.

A system and method for providing increased traffic carrying capacity of a road, such as a highway, by modifying an existing roadway from, for example, four lanes to five lanes, to create an additional travel lane. The system and method dynamically changes the width of travel lanes using, for example, embedded pavement lights, or other lighting arrangements, in lieu of traditional painted lane lines. As traffic volumes increase and speeds decrease along the road, an intelligent transport system (ITS) sends a congestion signal to the overhead lane controls and dynamic message signs (DMS) along the entire road segment of interest. The posted speed limits are changed, and the lane markings are controlled to dynamically increase the number of lanes in the road segment to five, for example, of narrower widths until traffic volumes reduce and the number of lanes can be returned to four, for example, with normal speed limits.

A system and method for providing increased traffic carrying capacity of a road, such as a highway, by modifying an existing roadway from, for example, four lanes to five lanes, to create an additional travel lane. The system and method dynamically changes the width of travel lanes using, for example, embedded pavement lights, or other lighting arrangements, in lieu of traditional painted lane lines. As traffic volumes increase and speeds decrease along the road, an intelligent transport system (ITS) sends a congestion signal to the overhead lane controls and dynamic message signs (DMS) along the entire road segment of interest. The posted speed limits are changed, and the lane markings are controlled to dynamically increase the number of lanes in the road segment to five, for example, of narrower widths until traffic volumes reduce and the number of lanes can be returned to four, for example, with normal speed limits.

A navigation system includes: a control circuit configured to: generate a video clip by parsing an interval of a sensor data stream for a region of travel; analyze the video clip submitted to a deep learning model, already trained, including identifying a traffic flow estimate; access a position coordinate for calculating a distance to intersection; generate a traffic flow state by fusing a corrected speed, the traffic flow estimate, and the distance to intersection; merge a vehicle maneuvering instruction into the traffic flow state for maneuvering through the region of travel; and a communication circuit, coupled to the control circuit, configured to: communicate the traffic flow state for displaying on a device.

A number of ladar sensors, visible cameras, and traffic signal lights are mounted within a traffic control zone, and a local traffic controller is provided to ensure safety and provide optimum traffic flow for vehicular and pedestrian traffic by combining the inputs from the ladar sensors and visible cameras and detecting the type of traffic, the intended path, and then controlling the signal lights dynamically. The local traffic controller also maintains a local traffic database, and communicates via duplex radio link with similarly equipped vehicles to effect an additional control capability. A regional traffic controller communicates with the local traffic controller to provide control and optimal traffic flow within a district control zone, and maintains a district traffic database.

A number of ladar sensors, visible cameras, and traffic signal lights are mounted within a traffic control zone, and a local traffic controller is provided to ensure safety and provide optimum traffic flow for vehicular and pedestrian traffic by combining the inputs from the ladar sensors and visible cameras and detecting the type of traffic, the intended path, and then controlling the signal lights dynamically. The local traffic controller also maintains a local traffic database, and communicates via duplex radio link with similarly equipped vehicles to effect an additional control capability. A regional traffic controller communicates with the local traffic controller to provide control and optimal traffic flow within a district control zone, and maintains a district traffic database.

A method, apparatus and computer program product are described so as to provide more additional information regarding vehicular behavior. In the context of a method, information is received regarding a location of the vehicle at a plurality of instances in time. The plurality of instances in time define a time period. The method also includes determining an environmental condition at the location during the time period and comparing the behavior of the vehicle to that of other vehicles at the location that are also subjected to the environmental condition. Additionally, the method may determine a score for the vehicle in relation to a risk factor based upon the behavior of the vehicle and the comparison to other vehicles at the location that are also subjected to the envir onmental condition.