Roadside Driving Control for Lower-Complexity Automated Vehicles
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Solution Overview
Problem
Existing automated driving technologies face challenges in widespread implementation due to costly and complex on-board systems and the need for substantial roadside infrastructure, with a lack of solutions for distributed driving systems that integrate individual vehicles and roadside infrastructures effectively.
Innovation Solution
The Intelligent Roadside Toolbox (IRT) system provides customized, time-sensitive control instructions and services to individual vehicles, enhancing their automated driving capabilities by integrating sensing, behavior prediction, planning, and control functions, and managing vehicle operations across connected and automated vehicle highway systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If expensive and complicated on-board systems are provided on individual vehicles, then automated driving control capability is improved, but system cost and complexity increase
Solution Approach 1:
The patent introduces roadside infrastructure units as intermediary components that perform sensing, prediction, planning, and control functions externally. These roadside units act as mediators between the vehicle and the automated driving system, allowing the vehicle to achieve automated driving capability without carrying complex on-board systems. The roadside infrastructure provides the computational and sensing capabilities that would otherwise need to be embedded in each vehicle.
Solution Approach 2:
The patent extracts the automated driving functions (sensing, prediction, planning, control) from the individual vehicle and relocates them to roadside infrastructure. By taking out these complex systems from the vehicle and placing them in the roadside environment, the vehicle itself becomes simpler while still achieving automated driving control through communication with the roadside units.
2Extent of automation
If substantial roadside infrastructure is built, then vehicle control capability is improved, but infrastructure cost and complexity increase
Solution Approach 1:
The roadside infrastructure units are designed to serve multiple functions: sensing vehicle and environment data, predicting transportation behavior, planning driving trajectories, and controlling vehicles. A single roadside unit can support multiple vehicles and perform all these functions, reducing the need for specialized infrastructure for each function and lowering overall system complexity.
Solution Approach 2:
The patent combines sensing, prediction, planning, and control functions into integrated roadside infrastructure units. Rather than having separate systems for each function, the roadside units merge these capabilities into a unified platform that serves multiple vehicles simultaneously, reducing infrastructure complexity and cost.
3Device complexity
If individual vehicles and roadside infrastructures work separately, then system simplicity is maintained, but automated driving performance deteriorates
Solution Approach 1:
The patent establishes a feedback loop where roadside units collect data from vehicles and the environment, process this information through prediction and planning algorithms, and send control instructions back to vehicles. This continuous feedback mechanism enables coordinated operation between roadside infrastructure and individual vehicles, improving automated driving performance while maintaining relatively simple individual components.
Data Source
AI summary
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).