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.

A time-segmented signal timing method is related to the field of intelligent transportation. The specific implementation is: obtaining traffic volume data of a target intersection in each period of time of N consecutive days, N being an integer greater than 1; performing curve fitting on the traffic volume data to determine a traffic volume curve corresponding to the target intersection of each day; determining calculating respective target points in the traffic volume curve with second derivatives satisfying a preset condition; and performing time-segmented signal timing on a traffic light at the target intersection based on time points corresponding to the respective target points.

A time-segmented signal timing method is related to the field of intelligent transportation. The specific implementation is: obtaining traffic volume data of a target intersection in each period of time of N consecutive days, N being an integer greater than 1; performing curve fitting on the traffic volume data to determine a traffic volume curve corresponding to the target intersection of each day; determining calculating respective target points in the traffic volume curve with second derivatives satisfying a preset condition; and performing time-segmented signal timing on a traffic light at the target intersection based on time points corresponding to the respective target points.

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.

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 traffic signal control system includes a processor configured to adjust a green time of a traffic signal based on vehicle class information on each of vehicles of a vehicle group approaching an intersection. The vehicle class information indicates whether the vehicle is an environmentally friendly vehicle or an environmentally unfriendly vehicle that is not the environmentally friendly vehicle.

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.