Vehicle Navigation Prioritization for Mixed Traffic
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Solution Overview
Problem
Conventional approaches to managing autonomous vehicles do not effectively account for the urgency of individual vehicles or the presence of non-autonomous vehicles, leading to inefficiencies in navigation and travel times.
Innovation Solution
A system that identifies priority vehicles and determines their navigation based on vehicle type and priority bids, providing instructions to both coordinatable and non-coordinatable vehicles to facilitate desired maneuvers, such as lane changes or corral maneuvers, to optimize navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If collective management of autonomous vehicles is implemented to minimize collective travel times, then overall traffic efficiency is improved, but individual vehicle urgency is not accounted for
Solution Approach 1:
The system assigns different priority levels to different vehicles based on their individual characteristics and mission requirements. High-priority vehicles (e.g., emergency vehicles, vehicles with urgent deliveries) receive preferential treatment in navigation decisions, while standard vehicles follow collective optimization rules. This local differentiation resolves the contradiction by maintaining collective efficiency for most vehicles while accommodating individual urgency when needed.
Solution Approach 2:
The navigation system dynamically adjusts vehicle priorities and routing decisions in real-time based on changing conditions such as vehicle urgency, traffic conditions, and mission requirements. Priority levels are not static but can change during operation, allowing the system to adapt to individual vehicle needs while maintaining overall collective efficiency.
2Productivity
If autonomous vehicles are managed collectively without considering vehicle types, then resource utilization is optimized, but non-autonomous vehicles interfere with management effectiveness
Solution Approach 1:
The system segments vehicles into different categories (autonomous, non-autonomous, high-priority, standard-priority) and applies different management strategies to each segment. Autonomous vehicles are managed through centralized coordination, while non-autonomous vehicles are managed through standardized signaling and communication protocols. This segmentation allows the system to maintain high resource utilization while ensuring reliable management of diverse vehicle types.
Solution Approach 2:
The system introduces an intermediary communication layer that translates between different vehicle types and the centralized management system. Non-autonomous vehicles communicate through standardized signals and responses, acting as intermediaries that allow them to participate in the collective management system without requiring full autonomous capabilities. This intermediary layer maintains management effectiveness across heterogeneous vehicle populations.
Data Source
AI summary
Systems, methods, and non-transitory computer readable media may be configured to facilitate prioritization of vehicle navigation. One or more vehicles in an environment of a priority vehicle may be identified. Priorities of the vehicle(s) and the priority vehicle may be determined. A desired navigation of the priority vehicle in the environment may be determined based on the priorities of the vehicle(s) and the priority vehicle. An instruction may be provided to at least one of the vehicle(s) based on the desired navigation of the priority vehicle in the environment. The instruction may characterize one or more maneuvers to be performed by the at least one of the vehicle(s) to facilitate the desired navigation of the priority vehicle.