AUTONOMOUS VEHICLE INTELLIGENT CONTROL (AVIC) SYSTEM WITH DISTRIBUTED AI COMPUTING
The invention provides an autonomous vehicle and intelligent control (AVIC) system with distributed AI computing, which is a component of a Connected Automated Vehicle Highway (CAVH) system. This AVIC system is configured to realize training and application for distributed AI computing by providing automated vehicles (AVs) and/or connected automated vehicles (CAVs) with vehicle-specific control instructions comprising instructions for vehicle longitudinal and lateral position, speed, and steering and control. Detailed and time-sensitive vehicle-specific control instructions comprise control instructions for speed, spacing, lane designation, vehicle following, lane changing, and/or route guidance. Specifically, through the system, CAVs can be effectively and efficiently controlled by the AVIC system. In addition, the AVIC system is configured to provide vehicle-specific control instructions to CAVs and control them through a hierarchy of traffic control centers/traffic control units (TCCs/TCUs) or the combination of TCCs/TCUs and the onboard units (OBUs) with vehicle control modules.
1 .- 19 . (canceled)
20 . An Autonomous Vehicle Intelligent Control (AVIC) system comprising:
a traffic control center/traffic control unit (TCC/TCU) comprising:
automatic or semi-automated computational modules;
an optimizer module;
a processor module; and
a TCC/TCU communication module, wherein:
the TCC/TCU communication module provides wired and wireless communication services to a connected automated vehicle (CAV);
the processor module and optimizer module process information and optimize control targets for full vehicle operations and control for the CAV; and
the TCC/TCU gathers data, processes information, optimizes vehicle-specific control instructions, and provides the vehicle-specific control instructions comprising instructions for vehicle longitudinal and lateral position; speed; and steering and control.
21 . The AVIC system of claim 20 , wherein said TCC/TCU communication module receives data from onboard units (OBUs) and roadside units (RSUs), said data comprising vehicle static information and/or vehicle dynamic information, wherein:
a) the vehicle static information comprises vehicle identifier, vehicle size, vehicle type, vehicle software information, and/or vehicle hardware information;
b) the vehicle dynamic information comprises a timestamp, GPS coordinates, vehicle longitudinal and lateral position, vehicle speed, and/or vehicle origin/destination information.
22 . The AVIC system of claim 20 , wherein said vehicle-specific control instructions comprise control instructions for speed, spacing, lane designation, vehicle following, lane changing, and/or route guidance.
23 . The AVIC system of claim 20 , wherein said processor module processes data, integrates the vehicle static information and/or vehicle dynamic information and sends it to the TCC/TCU.
24 . The AVIC system of claim 20 , wherein said computational module comprises functions of:
a) predicting the future motion state of the CAV; and
b) dynamically calculating decision-making information according to real-time data and environmental changes.
25 . The AVIC system of claim 24 , wherein said computational module receives information from the processor module and predicts the future motion state of the CAV based on a preset algorithm.
26 . The AVIC system of claim 24 , wherein said computational module receives information from the processor module and calculates decision-making information dynamically based on real-time data and environmental changes.
27 . The AVIC system of claim 20 , wherein said optimizer module:
receives results from the automatic or semi-automated computational modules, optimizes the results using a predetermined algorithm, and generates the vehicle-specific control instructions; and
produces a control strategy and optimizes the control strategy based on traffic information; or simulates a decision and optimizes it.
28 . The AVIC system of claim 20 , wherein said TCC/TCU generates the vehicle-specific control instructions based on the optimization results from the optimizer module.
29 . The AVIC system of claim 20 , wherein said TCC/TCU communication module sends the vehicle-specific control instructions to an OBU installed in the CAV.
30 . An Autonomous Vehicle Intelligent Control (AVIC) System comprising:
a) a traffic control center/traffic control unit (TCC/TCU) comprising automatic or semi-automated computational modules, a processor module, an optimizer module, and a TCC/TCU communication module; and
b) an onboard unit (OBU) comprising an OBU communication module and a vehicle control module, wherein:
the automatic or semi-automated computational modules gather information;
the processor module processes information;
the optimizer module produces optimized control strategies for full vehicle operations and control for a connected automated vehicle (CAV), and produces vehicle-specific control instructions comprising instructions for vehicle longitudinal and lateral position, speed, and steering and control;
the OBU communication module communicates with the TCC/TCU, receives the vehicle-specific control instructions from said TCC/TCU, and sends vehicle-specific information to said TCC/TCU; and
the vehicle control module controls a vehicle according to said vehicle-specific control instructions.
31 . The AVIC system of claim 30 , wherein said TCC/TCU communication module receives data from onboard units (OBUs) and roadside units (RSUs), said data comprising vehicle static information and/or vehicle dynamic information, wherein:
the vehicle static information comprises vehicle identifier, vehicle size, vehicle type, vehicle software information, and/or vehicle hardware information; and
the vehicle dynamic information comprises a timestamp, GPS coordinates, vehicle longitudinal and lateral position, vehicle speed, and/or vehicle origin/destination information.
32 . The AVIC system of claim 30 , wherein said vehicle-specific control instructions further comprise instructions for spacing, lane designation, vehicle following, lane changing, and/or route guidance.
33 . The AVIC system of claim 30 , wherein said processor module processes data received by a data center, integrates the vehicle static information and/or vehicle dynamic information and sends it to the TCC/TCU.
34 . The AVIC system of claim 30 , wherein said automatic or semi-automated computational modules predict the future motion state of the CAV; and dynamically calculate decision-making information according to real-time data and environmental changes.
35 . The AVIC system of claim 34 , wherein said automatic or semi-automated computational modules receive information from the processor modules and predict the future motion state of the CAV based on preset algorithms.
36 . The AVIC system of claim 34 , wherein said automatic or semi-automated computational modules receive information from the processor module and calculate decision-making information dynamically based on real-time data and environmental changes.
37 . The AVIC system of claim 30 , wherein said optimizer module receives the results from the computational module, the optimizer module optimizes the results from the computational module using a preset algorithm, and the optimizer module generates the vehicle-specific control instructions;
wherein said optimizer module produces optimal control strategy, or optimizes the plan based on traffic information, or simulates the decision and optimizes it.
38 . The AVIC system of claim 30 , wherein said TCC/TCU communication module sends the vehicle-specific control instructions to the OBU.
39 . The AVIC system of claim 30 , wherein the OBU communication module receives the vehicle-specific control instructions and the vehicle control module controls the CAV using the vehicle-specific control instructions.