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.

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 provides new transportation design methods and a system that can improve road capacity, throughput, and travel safety as well as facilitate the current and future development of autonomous driving. The new methods and system basically eliminate all potential stopping, slowing down, and traditional crossing intersections in traffic. By mosaicking variously sized and shaped one-way loops in two-dimension and a myriad of ways and levels, the new design and system generally reduce possibilities of road accidents and utilization, reduce city pollution and improve energy efficiency, as well as encourage ride sharing and public transportation. The new design can always be compatible with existing streets and support progressive construction in phases at a controllable cost so it is practical in implementation.

The present disclosure provides new transportation design methods and a system that can improve road capacity, throughput, and travel safety as well as facilitate the current and future development of autonomous driving. The new methods and system basically eliminate all potential stopping, slowing down, and traditional crossing intersections in traffic. By mosaicking variously sized and shaped one-way loops in two-dimension and a myriad of ways and levels, the new design and system generally reduce possibilities of road accidents and utilization, reduce city pollution and improve energy efficiency, as well as encourage ride sharing and public transportation. The new design can always be compatible with existing streets and support progressive construction in phases at a controllable cost so it is practical in implementation.

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.

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.

An Internet of Things (IoT) technique for vehicular traffic management, including an IoT sensor to measure traffic data of vehicular traffic, a traffic analyzer to determine a traffic event based on the traffic data, and an IoT gateway to issue a response based on the traffic event.

An Internet of Things (IoT) technique for vehicular traffic management, including an IoT sensor to measure traffic data of vehicular traffic, a traffic analyzer to determine a traffic event based on the traffic data, and an IoT gateway to issue a response based on the traffic event.

An Internet of Things (IoT) technique for vehicular traffic management, including an IoT sensor to measure traffic data of vehicular traffic, a traffic analyzer to determine a traffic event based on the traffic data, and an IoT gateway to issue a response based on the traffic event.