In this disclosure, collaborative multi-agent-based TST is presented with dedicated intersection controllers that include software agents which read local and remote detection systems and then collaboratively optimize signal timing phases by considering the feedback of all controller agents that may be affected by a change. The disclosure also presents an augmented system which considers network input from handheld remote devices to update certain traffic light phase information and adapt to emerging emergency situations.

In this disclosure, collaborative multi-agent-based TST is presented with dedicated intersection controllers that include software agents which read local and remote detection systems and then collaboratively optimize signal timing phases by considering the feedback of all controller agents that may be affected by a change. The disclosure also presents an augmented system which considers network input from handheld remote devices to update certain traffic light phase information and adapt to emerging emergency situations.

An approach is provided for traffic Signal Phase and Timing (SPaT) verification using sensor data and probe data. The approach involves, for instance, retrieving image data captured using a sensor of a vehicle traveling within proximity of a traffic light. The approach also involves processing the image data to identify at least one transition of the traffic light between one or more traffic light states. The approach further involves determining a transition time, a cycle time, or a combination thereof between the one or more traffic light states based on the identified at least one transition of the traffic light. The approach further involves performing a comparison of signal phase and timing (SPaT) data of the traffic light with the transition time, the cycle time, or a combination thereof and providing the comparison of the SPaT data as an output.

An approach is provided for traffic Signal Phase and Timing (SPaT) verification using sensor data and probe data. The approach involves, for instance, retrieving image data captured using a sensor of a vehicle traveling within proximity of a traffic light. The approach also involves processing the image data to identify at least one transition of the traffic light between one or more traffic light states. The approach further involves determining a transition time, a cycle time, or a combination thereof between the one or more traffic light states based on the identified at least one transition of the traffic light. The approach further involves performing a comparison of signal phase and timing (SPaT) data of the traffic light with the transition time, the cycle time, or a combination thereof and providing the comparison of the SPaT data as an output.

Traffic control systems, signal control systems, and methods of using such systems are disclosed. A real-time adaptive traffic control system includes multiple signal control systems, each associated with a signalized intersection. Each signal control system includes a receiver, a processor, and a transmitter. The receiver receives inflow traffic control information from other signal control systems and information associated with one or more vehicles or devices. The processor generates a signal timing plan based on the information and the inflow traffic control information. The transmitter transmits outflow traffic control information to other signal control systems. A fee or toll may be incurred for receiving the route information associated with a vehicle or device. The result of providing such route information may be better traffic flow for the transmitting vehicle or device and other vehicles or devices resulting from improved information being available to the traffic control system.

Traffic control systems, signal control systems, and methods of using such systems are disclosed. A real-time adaptive traffic control system includes multiple signal control systems, each associated with a signalized intersection. Each signal control system includes a receiver, a processor, and a transmitter. The receiver receives inflow traffic control information from other signal control systems and information associated with one or more vehicles or devices. The processor generates a signal timing plan based on the information and the inflow traffic control information. The transmitter transmits outflow traffic control information to other signal control systems. A fee or toll may be incurred for receiving the route information associated with a vehicle or device. The result of providing such route information may be better traffic flow for the transmitting vehicle or device and other vehicles or devices resulting from improved information being available to the traffic control system.

There is provided a system and method for traffic signal control of a traffic network with a learned model. The method including: receiving sensor readings from the traffic network, the sensor readings including positions and speeds of vehicles approaching each intersection; using a learned dynamics model that takes the sensor readings as input, predicting a plurality of possibilities for position and velocity of the vehicles approaching each intersection in a future timestep; determining a action for the one or more intersections by performing a tree search on the plurality of possibilities and selecting the possibility with a highest action value; and outputting the action to the traffic network for implementation as a traffic control action at the one or more intersections.

There is provided a system and method for traffic signal control of a traffic network with a learned model. The method including: receiving sensor readings from the traffic network, the sensor readings including positions and speeds of vehicles approaching each intersection; using a learned dynamics model that takes the sensor readings as input, predicting a plurality of possibilities for position and velocity of the vehicles approaching each intersection in a future timestep; determining a action for the one or more intersections by performing a tree search on the plurality of possibilities and selecting the possibility with a highest action value; and outputting the action to the traffic network for implementation as a traffic control action at the one or more intersections.

The invention is a traffic signal green wave mode control method for polylines and mixture mode of Lead and Jam-Relief functions, includes: 1) get parameters of polylines and mixture mode according to mode instruction, compute time-offsets of each wave section starting from source intersection; 2) connecting the time-offsets between wave sections, 3) set interim period using the wave sections' time-offsets; provides for polylines route traffic signal connecting channel, linking functions Lead and Jam-Relief within multi wave sections, multi road-segments, multi turnings of vehicle flow; comparing to current non-the-polylines-mixture-mode traffic signal modes, waiting time is lessened by far more than 50%, efficiency of transportation is improved greatly.

A roadside relay apparatus includes first, second, and third communication units to which first, second, and third lines described below are connected, a communication processing unit configured to relay or intercept communication between the first and second communication units, and an information processing unit configured to generate signal information for a vehicle, based on a control command, for controlling a traffic signal controller, received by the first communication unit and based on details of control, performed by the traffic signal controller, received by the second communication unit, and to output the generated signal information to the third communication unit. The first, second, and third lines are communication lines for wired communication with a central apparatus of a traffic control system, the traffic signal controller, and a communication apparatus that belongs to a communication system configured to wirelessly provide information to the vehicle, respectively.