| CPC H04W 4/44 (2018.02) [G05D 1/0088 (2013.01); G05D 1/0276 (2013.01); H04W 72/51 (2023.01)] | 18 Claims |
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1. A Device Allocation System (DAS) of a Distributed Driving System (DDS), the DDS comprising:
a) a plurality of connected and automated vehicles (CAV), each CAV comprising a vehicle onboard system configured to generate control instructions for automated driving of the CAV;
b) an intelligent roadside toolbox (IRT), wherein the IRT provides customized, on-demand, and dynamic IRT functions to the plurality of CAV for dynamic utility management (DUM); and
c) a communications medium for transmitting data between the plurality of CAV and the IRT; and
the DAS comprising:
a) a module to input a preference and/or a goal from a DDS service provider;
b) a component to produce a multi-objective optimization function to optimize system reliability, system intelligence, system efficiency, and/or system resilience;
c) a module to select a resource allocation service from a DDS; and
d) a module to allocate resources among IRT devices and CAV devices,
wherein the resources comprise intelligence, communications capacity, and at least one or more of automated driving functions and/or power;
wherein the customized, on-demand, and dynamic IRT functions comprise dynamic utility management; sensing services; transportation prediction and management services at a macroscopic level, mesoscopic level, and microscopic level; planning and decision-making services at a macroscopic level, mesoscopic level, and microscopic level; and at least one of vehicle control services; system security and backup services; computing and management services; vehicle performance optimization services; and/or information provision services;
wherein dynamic utility management is provided by a DUM software module configured to optimize use of resources by the plurality of CAV at more than one vehicle intelligence level by assembling IRT functions provided to the plurality of CAV and balancing CAV onboard system costs;
wherein the IRT devices comprise a Roadside Unit (RSU);
wherein the RSU comprises a sensing module, a communication module, a data processing module, an interface module, and an adaptive power supply module;
wherein:
the sensing module is configured to detect the environment;
the communication module is configured to communicate with the CAV, traffic control units (TCUs), and a cloud;
the data processing module is configured to process data from the sensing and/or the communication module;
the interface module is configured to communicate data between the data processing module and the communication module; and
the adaptive power supply module is configured to adjust power delivery according to conditions of a local power grid with backup redundancy;
wherein the RSU further comprises a data fusion module, a prediction module, a planning module, a decision making module, and a control method computation module;
wherein:
the data fusion module fuses the data from sources comprising CAV sensors, roadside sensors, and the cloud;
the prediction module conducts prediction based on learning, statistical, and empirical algorithms;
the planning module conducts macroscopic level planning, mesoscopic level planning, and microscopic level planning;
the decision making module produces vehicle control instructions, and
the control method computation module produces input for the data fusion module.
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