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 distributed hearing system includes a plurality of near audio probe modules distributed at a plurality of specified locations in a specified area for recording audio information at the specified locations in the specified area, respectively; and a central data collecting/analysis/control module in communication with the plurality of near audio probe modules for collecting and analyzing the audio information from the plurality of near audio probe modules. The audio information is generated by a vehicle and includes a characteristic feature specific to the vehicle. A traffic control method is used with the distributed hearing system.

Embodiments of the disclosure provide methods and systems for jointly predicting movement trajectories of a plurality of moving objects. The system includes a communication interface configured to receive a map of an area in which the plurality of moving objects are traveling and sensor data acquired associated with the plurality of moving objects. The system further includes at least one processor configured to position the plurality of moving objects in the map. The at least one processor further determines object features of each moving object based on the sensor data, and determines regulation features of the moving objects. The object features characterize movement of the respective moving object, and the regulation features characterize traffic regulations the moving objects need to obey. The at least one processor also jointly predicts the movement trajectories of the plurality of moving objects based on the object features and regulation features using a learning model.

The disclosure presents methods and apparatus for adaptive control of one or more traffic signals. A method may include determining an offset value based on a function of a traffic flow performance metric. The method may further include determining a green time split value based on a distributed algorithm. The method may further include adaptive control of the one or more traffic signals based on the green time split value and the offset value.

The disclosure presents methods and apparatus for adaptive control of one or more traffic signals. A method may include determining an offset value based on a function of a traffic flow performance metric. The method may further include determining a green time split value based on a distributed algorithm. The method may further include adaptive control of the one or more traffic signals based on the green time split value and the offset value.

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.

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.

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.

A method and apparatus for level of service assessment at signalized intersections is disclosed. In an exemplary embodiment, a method for estimating an average delay per vehicle at a signalized intersection with a traffic signal, including sampling vehicle arrival rates at the signalized intersection, sampling vehicle departure rates at the signalized intersection, analyzing generated shock waves at the traffic signal, wherein the traffic signal shock wave is a change in vehicle density due to changes in the traffic signal, and estimating the average delay per vehicle based on the vehicle arrival rates, the vehicle departure rates, and the traffic shock waves at the signalized intersection.