Abstract: The present disclosure relates to the technical field of oxygen carrier, discloses a medium-entropy perovskite oxygen carrier and its preparation method and application thereof, the synthesis procedure includes preparing an aqueous solution from metallic nitrate serving as a raw material, performing a coprecipitation reaction with at least one of aqueous ammonia solution, a sodium hydroxide aqueous solution or a sodium carbonate aqueous solution as a precipitant at a pH value of 9.5 to 10.5; obtaining the La3CoMnAlO9 powers after stirring, standing, washing, drying and calcining. The preparation method is simple, synthetic conditions are easy to control, and batch production could be achieved.

Abstract: Provided herein is a technology for an Autonomous Vehicle Intelligent System (AVIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. The AVIS and related methods provide vehicles with vehicle-specific information for a vehicle to perform driving tasks such as car following, lane changing, and route guidance. The AVIS comprises: (1) a communication module communicating with one or more of: (a) other autonomous vehicles (AV), (b) a roadside unit (RSU), (c) a cloud platform, or (d) a traffic control center/traffic control unit (TCC/TCU); and (2) an onboard unit (OBU) of an AV. The AVIS implements one or more of the following functions: sensing, prediction, decision-making, and vehicle control using onboard information and vehicle-specific information received from other AVs, the RSU, the cloud platform, and/or the TCC/TCU.

Abstract: The invention provides systems and methods for an Intelligent Road Infrastructure System (IRIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. IRIS systems and methods provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the driving tasks such as car following, lane changing, and route guidance. IRIS systems and methods also manage transportation operations and management services for both freeways and urban arterials. In some embodiments, the IRIS comprises or consists of one of more of the following physical subsystems: (1) Roadside unit (RSU) network, (2) Traffic Control Unit (TCU) and Traffic Control Center (TCC) network, (3) vehicle onboard unit (OBU), (4) traffic operations centers (TOCs), and (5) cloud information and computing services.

Abstract: Provided herein is a technology for an autonomous vehicle cloud system (AVCS). The AVCS provides sensing, prediction, decision-making, and/or control instructions for specific vehicles at a microscopic level using data from one or more of other vehicles, a roadside unit, cloud-based platform, or traffic control center/traffic control unit. Specifically, the autonomous vehicles are effectively and efficiently operated and controlled by the AVCS. The AVCS provides individual vehicles with detailed time-sensitive control instructions for vehicles to fulfill driving tasks. The AVCS is configured to predict individual vehicle behavior and provide planning and decision-making at a microscopic level to improve AV operations. In addition, the AVCS is configured to provide one or more of virtual traffic light management, travel demand assignment, traffic state estimation, and platoon control.

Abstract: A multilayer structure comprising regions of higher aluminum (Al) composition as compared to adjacent layers, in combination with an undulating active region and controlled buffer layer crystal quality, promotes radiative recombination and improves the performance and efficiency of ultraviolet (UV) or far-UV light-emitting diodes (LEDs), laser diode (LDs), or other light emitting devices.

Abstract: The invention provides systems and methods for an autonomous vehicle (AV) and cloud control system, which comprises an AV control system comprising an onboard unit (OBU), a roadside unit (RSU) network, and a cloud-based platform. This integrated vehicle-road-cloud system provides traffic state estimation, prediction, computing, and control instructions for specific vehicles by the cloud-based platform. The cloud-based platform also provides safety and efficiency measures for vehicle operations and control under adverse weather conditions, and provides security, redundancy, and resiliency measures to improve system reliability. In addition, the RSU network provides high-resolution maps for specific vehicles.

Abstract: Provided herein is technology relating to automated driving and particularly, but not exclusively, to a connected reference marker technology configured to serve automated driving systems by providing, supplementing, and/or enhancing autonomous driving functions for connected automated vehicles under normal and abnormal driving scenarios.

Abstract: The invention provides systems and methods for an Intelligent Road Infrastructure System (IRIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. IRIS systems and methods provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the driving tasks such as car following, lane changing, and route guidance. IRIS systems and methods also manage transportation operations and management services for both freeways and urban arterials. In some embodiments, the IRIS comprises or consists of one of more of the following physical subsystems: (1) Roadside unit (RSU) network, (2) Traffic Control Unit (TCU) and Traffic Control Center (TCC) network, (3) vehicle onboard unit (OBU), (4) traffic operations centers (TOCs), and (5) cloud information and computing services.

Abstract: The invention provides systems and methods for an Intelligent Road Infrastructure System (IRIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. IRIS systems and methods provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the driving tasks such as car following, lane changing, and route guidance. IRIS systems and methods also manage transportation operations and management services for both freeways and urban arterials. In some embodiments, the IRIS comprises or consists of one of more of the following physical subsystems: (1) Roadside unit (RSU) network, (2) Traffic Control Unit (TCU) and Traffic Control Center (TCC) network, (3) vehicle onboard unit (OBU), (4) traffic operations centers (TOCs), and (5) cloud information and computing services.

Abstract: The invention provides systems and methods for an Intelligent Road Infrastructure System (IRIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. IRIS systems and methods provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the driving tasks such as car following, lane changing, and route guidance. IRIS systems and methods also manage transportation operations and management services for both freeways and urban arterials. In some embodiments, the IRIS comprises or consists of one of more of the following physical subsystems: (1) Roadside unit (RSU) network, (2) Traffic Control Unit (TCU) and Traffic Control Center (TCC) network, (3) vehicle onboard unit (OBU), (4) traffic operations centers (TOCs), and (5) cloud information and computing services.

Abstract: A general decoupling method and system for electromagnetic transient simulation of a VSC are provided. The method includes: determining state equations of equivalent circuits and switch state tables of different VSCs; splitting the state equations, and decoupling and delaying capacitor elements and inductor elements to determine split equations; determining a recurrence relation of a state variable group with respect to a time sequence based on each split equation; obtaining a topological structure of a to-be-simulated VSC, and determining a decoupling model circuit; determining a switch state of the to-be-simulated VSC at a current simulation moment, and constructing a final decoupling model circuit; determining an external port voltage based on the final decoupling model circuit; and updating the state variable group at the current simulation moment based on the external port voltage and the parameters of the decoupling model circuit corresponding to the switch state.

Abstract: The invention provides systems and methods for an Intelligent Road Infrastructure System (IRIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. IRIS systems and methods provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the driving tasks such as car following, lane changing, and route guidance. IRIS systems and methods also manage transportation operations and management services for both freeways and urban arterials. In some embodiments, the IRIS comprises or consists of one of more of the following physical subsystems: (1) Roadside unit (RSU) network, (2) Traffic Control Unit (TCU) and Traffic Control Center (TCC) network, (3) vehicle onboard unit (OBU), (4) traffic operations centers (TOCs), and (5) cloud information and computing services.

Abstract: Provided herein is technology relating to automated driving and particularly, but not exclusively, to a mobile intelligent road infrastructure technology configured to serve automated driving systems by providing, supplementing, and/or enhancing autonomous driving functions for connected automated vehicles under common and unusual driving scenarios.

Abstract: Provided herein is technology relating to automated driving and particularly, but not exclusively, to a system configured to provide full vehicle operations and control for connected and automated vehicles (CAV) and, more particularly, to a system configured to manage and/or control CAV by sending individual vehicles with detailed and time-sensitive control instructions for lateral and longitudinal movement of vehicles, including vehicle following, lane changing, route guidance, and related information.

Abstract: The technology relates to a systematic intelligent system (SIS) configured to share data and allocate computing resources among automated driving systems (ADS), e.g., using unified data specifications and interfaces. The SIS comprises systematic intelligent units (STU) that serve components of ADS, including vehicle intelligent units (VIU) and roadside intelligent units (RIU), and is configured to perform methods to serve an entire trip.

Abstract: Provided herein is technology relating to automated driving and particularly, but not exclusively, to systems comprising roadside intelligent units (RIU) and infrastructure of specific intelligence levels and related methods for providing and/or supplementing automated driving capabilities of connected and automated vehicles (CAV).

Abstract: Provided herein is technology relating to aspects of a Distributed Driving System (DDS) for managing Connected and Automated Vehicles (CAV) and particularly, but not exclusively, to systems, designs, and methods for a Device Allocation System (DAS) configured to allocate and distribute resources to devices of a Distributed Driving Systems (DDS).

Abstract: Provided herein is technology relating to transportation operations and management services and particularly, but not exclusively, to systems and methods for an intelligent roadside toolbox (IRT) that facilitates vehicle operations and control for distributed driving systems (DDS).