Microscopic Vehicle Motion Control Through Roadside Intelligence
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Solution Overview
Problem
Existing autonomous vehicles require expensive and complicated on-board systems, hindering widespread commercial implementation.
Innovation Solution
An Intelligent Road Infrastructure System (IRIS) that provides customized, real-time control instructions and traffic information to vehicles through a network of roadside units, traffic control units, traffic control centers, vehicle onboard units, and cloud services, supporting sensing, prediction, planning, and decision-making functions for vehicle control and transportation management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles use expensive and complicated on-board systems, then vehicle control capability is improved, but system cost and complexity increase
Solution Approach 1:
The patent introduces roadside units (RSUs) as intermediary components that perform sensing, prediction, planning, and decision-making functions externally. These RSUs act as mediators between the vehicle and the control system, transferring computational tasks from the vehicle's onboard systems to the infrastructure-based RSUs. This reduces the complexity and cost of onboard systems while maintaining reliable vehicle control capability through the intermediary infrastructure.
2Reliability
If autonomous vehicles use expensive and complicated on-board systems, then vehicle control capability is improved, but implementation cost increases
Solution Approach 1:
The roadside units serve as cost-effective intermediaries that provide advanced control capabilities without requiring expensive onboard hardware in each vehicle. By centralizing sophisticated sensing, prediction, planning, and decision-making functions in infrastructure-based RSUs, the system achieves reliable vehicle control at lower per-vehicle implementation costs, making widespread commercial deployment more feasible.
3Productivity
If the system provides customized real-time control instructions to individual vehicles, then vehicle operation efficiency is improved, but communication and processing complexity increases
Solution Approach 1:
The patent segments the communication and control system into modular roadside units, each responsible for specific geographic zones or vehicle groups. This segmentation allows the system to provide customized real-time control instructions to individual vehicles through distributed RSUs rather than a monolithic complex system. Each RSU handles localized communication and processing tasks, reducing overall system complexity while maintaining high vehicle operation efficiency through targeted, vehicle-specific instructions.
Data Source
AI summary
Provided herein is an intelligent system for microscopic motion control of autonomous vehicles. The autonomous vehicle intelligent system comprises an onboard unit (OBU) in a vehicle. The OBU comprises a sensing module, a communication module, a data fusion module, and/or a prediction module. The OBU is capable of generating guidance information and targeted instructions for individual vehicles. The sensing module is designed to detect the surrounding environment. The communication module enables seamless connectivity with nearby autonomous vehicles (AVs), roadside units (RSUs), cloud platform, and traffic control center or traffic control unit (TCC/TCUs). The data fusion module integrates multi-source information collected from onboard sensors and the cloud. The prediction module delivers advanced forecasting capabilities.