The present invention relates to a roadside control apparatus 5 capable of wirelessly communicating with a mobile communication apparatus 42. This roadside control apparatus 5 includes: a receiving unit 51 configured to receive positional information of a mobile body (e.g., vehicle 43) equipped with the mobile communication apparatus 42, from the mobile body; a control unit 63 configured to analyze, on the basis of the received positional information, present states of at least one of signal control and road traffic at an intersection Jk, and generate output information based on a result of the analysis; and transmission units 51 to 53 configured to transmit the generated output information to external equipment.

The present invention relates to a roadside control apparatus 5 capable of wirelessly communicating with a mobile communication apparatus 42. This roadside control apparatus 5 includes: a receiving unit 51 configured to receive positional information of a mobile body (e.g., vehicle 43) equipped with the mobile communication apparatus 42, from the mobile body; a control unit 63 configured to analyze, on the basis of the received positional information, present states of at least one of signal control and road traffic at an intersection Jk, and generate output information based on a result of the analysis; and transmission units 51 to 53 configured to transmit the generated output information to external equipment.

A traffic control system and a method of automatic zone creation and modification for a smart traffic camera to be used in adaptive traffic management at an intersection are disclosed. One aspect of the present disclosure is a method including applying default zone parameters to define detection zones at one or more sensors installed at an intersection, the detection zones being used by the one or more sensors for monitoring and detecting traffic conditions at the intersection; determining a current vehicular traffic flow rate and a current pedestrian traffic flow rate at the intersection; determining if a triggering condition for adjusting one or more of the default zone parameters; and adjusting the one or more of the default zone parameters if the triggering condition is met.

A traffic control system and a method of automatic zone creation and modification for a smart traffic camera to be used in adaptive traffic management at an intersection are disclosed. One aspect of the present disclosure is a method including applying default zone parameters to define detection zones at one or more sensors installed at an intersection, the detection zones being used by the one or more sensors for monitoring and detecting traffic conditions at the intersection; determining a current vehicular traffic flow rate and a current pedestrian traffic flow rate at the intersection; determining if a triggering condition for adjusting one or more of the default zone parameters; and adjusting the one or more of the default zone parameters if the triggering condition is met.

A method may be implemented to prioritize and analyze data exchanged in a connected vehicle transit network. The method may include receiving, at a roadside unit, vehicle data from a connected vehicle. The method may further include prioritizing the vehicle data received from the connected vehicle based on of urgency, network latency or available computing resources.

An system, method, and non-transitory computer readable medium for managing traffic at a worksite. The system includes a traffic control signal, a wireless interface, a mast, a support base, a wireless control device, and a base station for communicating between the wireless interface and the wireless control device. The method involves receiving input from the wireless control device, generating a control signal got the traffic control signals. The non-transitory computer readable medium is encoded with codes for directing a processor to carry out the method.

A traffic control system for controlling traffic at a junction includes an intelligent traffic control agent. The intelligent traffic control agent is training using reinforcement learning, in a simulation model of the junction. The simulation model is calibrated and validated preferably using data from the same sensors which are used as inputs to the traffic control agent when deployed to control traffic at the junction.

A traffic control system for controlling traffic at a junction includes an intelligent traffic control agent. The intelligent traffic control agent is training using reinforcement learning, in a simulation model of the junction. The simulation model is calibrated and validated preferably using data from the same sensors which are used as inputs to the traffic control agent when deployed to control traffic at the junction.

The present disclosure proposes an intelligent road side unit and a regulation method thereof. The intelligent road side unit comprises: traffic lights; a first camera configured to acquire a first image and having a first focal length; a second camera configured to acquire a second image and having a second focal length, the first focal length being greater than the second focal length; and a controller, configured to acquire anticipated arriving traffic flow information according to the first image, to acquire current traffic flow information according to the second image, and to control the traffic lights according to the anticipated arriving traffic flow information and the current traffic flow information.

Embodiments of the disclosure provide systems and methods for optimizing a traffic control plan. The system may include at least one storage device configured to store instructions and at least one processor configured to execute the instructions to perform operations. The operations may include receiving traffic system log data and parsing the traffic system log data to obtain a first set of traffic performance parameters. The operations may also include receiving trajectory data relating to a plurality of vehicle movements and parsing the trajectory data to obtain a second set of traffic performance parameters. The operations may further include determining relationships between vehicle delays and degrees of saturation based on the first and second sets of traffic performance parameters. In addition, the operations may include optimizing the traffic control plan based on the relationships.