Abstract: A system for optimizing traffic signal timing using telemetry includes: wirelessly connected devices (WCDs), traffic operations centers (TOCs) controlling one or more traffic signals, and control modules storing and continuously executing control logic in a closed loop. The control logic continuously receives real-time WCD telemetry data and performs real-time processing of the telemetry data to match the telemetry data to physical locations. Processed telemetry data is aggregated to determine WCD trajectories. The system selectively performs time-of-day (TOD), offset, and green split optimizations, and receives the WCD trajectories and outputs of the TOD, offset, and green split optimization within an API. The system generates an optimized signal plan from data from the API, and verifies the optimized signal plan. The optimized signal plan is received by the TOCs and selectively uploaded to the traffic signals.

Abstract: A system and method for safety testing a host autonomous vehicle (AV). This method includes: generating a trained machine learning (ML) agent and testing the host AV in an environment that includes one or more background vehicles configured to operate according to the trained ML agent. The ML agent is generated by: (i) obtaining a testing state model having non-safety-critical states and safety-critical states, (ii) editing the testing state model to obtain an edited testing state model that omits data concerning the non-safety-critical states, and (iii) training a ML agent using the edited state testing model so as to generate the trained ML agent.

Abstract: A system and method for simulating a real roadway environment that can be used for testing of a real connected autonomous vehicle (CAV) on roadways using augmented reality to add simulated virtual environmental objects such as additional vehicles, pedestrians, and other obstructions to the nearby surroundings seen by the CAV under test. The method carried out by the system includes: receiving vehicle status information indicating the location of a connected real vehicle as it moves along a roadway; and generating a simulated environment of the real vehicle on the roadway using a mapped model of the roadway and the vehicle status information. The simulated environment includes one or more virtual objects such as vehicles, pedestrians, or other obstructions, and these simulated virtual objects may be sent to the real vehicle for testing of its response without requiring the use of real vehicles, pedestrians, or other obstructions.

Abstract: 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.

Abstract: The present disclosure provides tissue products produced from adipose-containing tissues, as well as methods for producing such tissue products. The tissue products can comprise decellularized and partially de-fatted tissues. In addition, the present disclosure provides systems and methods for using such products.

Abstract: 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.

Abstract: 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.

Abstract: The present disclosure provides tissue products produced from adipose-containing tissues, as well as methods for producing such tissue products. The tissue products can include decellularized and partially de-fatted tissues. In addition, the present disclosure provides systems and methods for using such products.

Abstract: Embodiments of the disclosure provide traffic control systems and methods. The traffic control system may include a communication interface configured to receive vehicle trajectory data acquired by sensors and traffic control data from traffic signal controllers. The traffic control system may further include at least one processor. The at least one processor may be configured to detect an abnormal traffic condition. The at least one processor may be further configured to optimize an online traffic control scheme based on the vehicle trajectory data by adjusting green splits for a plurality of phases. The at least one processor may be also configured to provide, in real-time, the optimized online traffic control scheme to a traffic signal controller for generating traffic control signals.

Abstract: A method for controlling traffic lights is provided. The method may include obtaining historical track data of a plurality of vehicles. The method may include obtaining a congestion period. The method may include determining a discharge speed during the congestion period based on a portion of the historical track data corresponding to the congestion period. The method may further include determining an offset value based on a length of the road, the discharge speed, a cycle length of a first traffic light at the downstream intersection, a cycle length of a second traffic light at the upstream intersection, and a time length of a green light of the second traffic light being lit, and determining a signal timing of the second traffic light based on the offset value.

Abstract: Embodiments of the disclosure provide traffic control systems and methods. The traffic control system may include a communication interface configured to receive vehicle trajectory data acquired by sensors and traffic control data from traffic signal controllers. The traffic control system may further include at least one processor. The at least one processor may be configured to detect an abnormal traffic condition. The at least one processor may be further configured to optimize an online traffic control scheme based on the vehicle trajectory data by adjusting green splits for a plurality of phases. The at least one processor may be also configured to provide, in real-time, the optimized online traffic control scheme to a traffic signal controller for generating traffic control signals.

Abstract: Embodiments of the disclosure provide traffic control systems and methods. The traffic control system may include a communication interface configured to receive vehicle trajectory data acquired by sensors and traffic control data from traffic signal controllers. The traffic control system may further include at least one processor. The at least one processor may be configured to detect an abnormal traffic condition. The at least one processor may be further configured to optimize an online traffic control scheme based on the vehicle trajectory data by adjusting green splits for a plurality of phases. The at least one processor may be also configured to provide, in real-time, the optimized online traffic control scheme to a traffic signal controller for generating traffic control signals.

Abstract: 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.

Abstract: A method for controlling traffic lights is provided. The method may include obtaining historical track data of a plurality of vehicles. The method may include obtaining a congestion period. The method may include determining a discharge speed during the congestion period based on a portion of the historical track data corresponding to the congestion period. The method may further include determining an offset value based on a length of the road, the discharge speed, a cycle length of a first traffic light at the downstream intersection, a cycle length of a second traffic light at the upstream intersection, and a time length of a green light of the second traffic light being lit, and determining a signal timing of the second traffic light based on the offset value.

Abstract: A system and method for simulating a real roadway environment that can be used for testing of a real connected autonomous vehicle (CAV) on roadways using augmented reality to add simulated virtual environmental objects such as additional vehicles, pedestrians, and other obstructions to the nearby surroundings seen by the CAV under test. The method carried out by the system includes: receiving vehicle status information indicating the location of a connected real vehicle as it moves along a roadway; and generating a simulated environment of the real vehicle on the roadway using a mapped model of the roadway and the vehicle status information. The simulated environment includes one or more virtual objects such as vehicles, pedestrians, or other obstructions, and these simulated virtual objects may be sent to the real vehicle for testing of its response without requiring the use of real vehicles, pedestrians, or other obstructions.

Abstract: The present disclosure relates to a system and method for determining a traffic condition. The systems may perform the methods to: obtain a length of a road segment, where an upstream intersection and a downstream intersection is linked by the road segment; determine a first queue length of a queue on the road segment at a first time point and a second queue length of the queue at a second time point; determine a duration of the second queue length, based on a cycle length of the first traffic light corresponding to the downstream intersection, a cycle length of the second traffic light corresponding to the upstream intersection, a free-flow speed corresponding to the road segment, a back-propagation wave speed corresponding to the road segment, and the first queue length; and determine whether the second queue length exceeds the length of the road segment.

Abstract: A method for controlling traffic lights is provided. The method may include obtaining historical track data of a plurality of vehicles. The method may include obtaining a congestion period. The method may include determining a discharge speed during the congestion period based on a portion of the historical track data corresponding to the congestion period. The method may further include determining an offset value based on a length of the road, the discharge speed, a cycle length of a first traffic light at the downstream intersection, a cycle length of a second traffic light at the upstream intersection, and a time length of a green light of the second traffic light being lit, and determining a signal timing of the second traffic light based on the offset value.

Abstract: A system and method for use in controlling traffic signaling devices located along public roadways. The method carried out by the system includes: receiving, at one or more computers, time-location (TL) data from a plurality of wirelessly connected devices traveling through an intersection of a public roadway; determining, by the one or more computers using the received TL data, a traffic volume estimation value representative of a volume of traffic at the intersection; and sending the traffic volume estimation value to a traffic signaling control system configured to control a traffic signaling device at the intersection based on the traffic volume estimation value.

Abstract: A system and method for use in controlling traffic signaling devices located along public roadways. The method carried out by the system includes: receiving, at one or more computers, time-location (TL) data from a plurality of wirelessly connected devices traveling through an intersection of a public roadway; determining, by the one or more computers using the received TL data, a traffic volume estimation value representative of a volume of traffic at the intersection; and sending the traffic volume estimation value to a traffic signaling control system configured to control a traffic signaling device at the intersection based on the traffic volume estimation value.