Traffic signals that adapt to traffic conditions are provided with countdown timers. These countdown timers count down from some number towards zero, and indicate the approximate duration remaining before a traffic signal changes state. Since the traffic signal is continuously adapting to traffic conditions, the exact time before a state change occurs is not known in advance. Using a countdown algorithm, the countdown timers imperceptibly modify the countdown sequence in real time so that the traffic signal state change coincides approximately with the moment the countdown reaches its minimum count.

Traffic signals that adapt to traffic conditions are provided with countdown timers. These countdown timers count down from some number towards zero, and indicate the approximate duration remaining before a traffic signal changes state. Since the traffic signal is continuously adapting to traffic conditions, the exact time before a state change occurs is not known in advance. Using a countdown algorithm, the countdown timers imperceptibly modify the countdown sequence in real time so that the traffic signal state change coincides approximately with the moment the countdown reaches its minimum count.

Various embodiments are described herein for systems and methods of traffic management in a road network including pathways and at least one intersection. In at least one embodiment, the method comprises receiving data signals from corresponding one or more connected vehicles and generating an intersection model for each approach of each intersection at a first time, where the intersection model comprises estimated arrival times for incoming vehicles at each approach. The method further comprises generating at the first time, for each intersection, candidate traffic timing data signals based at least on the intersection model corresponding to all approaches at the intersection, and generating, at the first time, for each intersection, an optimized traffic timing data signal, which is configured to control the operation of one or more traffic signals at the intersection, and is generated based on the candidate traffic timing data signals and a predetermined optimization variable.

Various embodiments are described herein for systems and methods of traffic management in a road network including pathways and at least one intersection. In at least one embodiment, the method comprises receiving data signals from corresponding one or more connected vehicles and generating an intersection model for each approach of each intersection at a first time, where the intersection model comprises estimated arrival times for incoming vehicles at each approach. The method further comprises generating at the first time, for each intersection, candidate traffic timing data signals based at least on the intersection model corresponding to all approaches at the intersection, and generating, at the first time, for each intersection, an optimized traffic timing data signal, which is configured to control the operation of one or more traffic signals at the intersection, and is generated based on the candidate traffic timing data signals and a predetermined optimization variable.

Systems and methods for optimizing traffic flow through an intersection are disclosed. In an embodiment, the method includes receiving positional data indicating a current location of a first vehicle intending to pass through the intersection, receiving directional data indicating an intended direction of the first vehicle through the intersection from the current location, determining, based on the positional data and the directional data, whether an intended path of the first vehicle through the intersection interferes with an alternative path through the intersection, and adjusting a traffic signal at the intersection to decrease an amount of time to pass through the intersection via the alternative path.

Systems and methods for optimizing traffic flow through an intersection are disclosed. In an embodiment, the method includes receiving positional data indicating a current location of a first vehicle intending to pass through the intersection, receiving directional data indicating an intended direction of the first vehicle through the intersection from the current location, determining, based on the positional data and the directional data, whether an intended path of the first vehicle through the intersection interferes with an alternative path through the intersection, and adjusting a traffic signal at the intersection to decrease an amount of time to pass through the intersection via the alternative path.

A traffic signal control method for connecting different phases green signals between intersections, its key steps include: 1) get parameters of out-phase wave from mode instruction, 2) set out-phase interim period: start out-phase front wave, start out-phase post wave, or, end. Its advantages are providing basic algorithm and operations to solve and construct consecutive green signals for turning traffic between intersections, tool to implement for turning traffic to fast pass intersections, greatly lessen waiting time of turning traffic under current signal mode, improve efficiency of transportation.

The invention concerns traffic signal control, is optimized period and green time ratio green wave control method, main steps includes: 1) build polarized period spectrum; 2) decide polarized period spectrum tactics; 3) AI optimized polarized period spectrum; 4) configure polarized green-wave interim and period; 5) run polarized green-wave, including differential green-wave and optimization time interval; Advantage: both provides concrete signal scheme/control methods of broad band traffic signal period/green time ratio to road-net that spreads very heavy traffic at some intersections of non-uniform traffic loads, and an interface frame for obtaining and dealing with traffic data/optimizing signals' parameters using AI tech dynamically on line; comparing to current traffic signal systems, waiting time is lessened by far more than 30%, efficiency of transportation is improved greatly; whose attributes as universal model easy to embed new signal technology such as Pan String, String Super-mode, Lined Mixture, Pan-Green-Wave, differential green-wave, and whose frame features embedding AI's methods may realize wider gain of double broadband, including special signals for bus, application prospect is broad.

The invention concerns traffic signal control, is optimized period and green time ratio green wave control method, main steps includes: 1) build polarized period spectrum; 2) decide polarized period spectrum tactics; 3) AI optimized polarized period spectrum; 4) configure polarized green-wave interim and period; 5) run polarized green-wave, including differential green-wave and optimization time interval; Advantage: both provides concrete signal scheme/control methods of broad band traffic signal period/green time ratio to road-net that spreads very heavy traffic at some intersections of non-uniform traffic loads, and an interface frame for obtaining and dealing with traffic data/optimizing signals' parameters using AI tech dynamically on line; comparing to current traffic signal systems, waiting time is lessened by far more than 30%, efficiency of transportation is improved greatly; whose attributes as universal model easy to embed new signal technology such as Pan String, String Super-mode, Lined Mixture, Pan-Green-Wave, differential green-wave, and whose frame features embedding AI's methods may realize wider gain of double broadband, including special signals for bus, application prospect is broad.

Disclosed herein are systems and methods for implementing virtualized Road-Side Units (vRSUs). Edge computing devices implementing one or more vRSU services may associate vehicles with identifiers that are based at least in part upon the locations of the vehicles. The locations may be established by location services of the edge computing devices, based upon communication received from the vehicles via wireless cellular communication links. The edge computing devices may then process infrastructure information that they receive, for distribution to the vehicles, at the vRSU services. Based upon the processing of infrastructure information at the vRSU services, messages may be generated for transmission to the vehicles (e.g., over the wireless cellular communication links), with the messages carrying information based upon the infrastructure information, such as in the form of safety messages and/or information messages.