Vehicle Priority Scoring for Dynamic Traffic Lane Repositioning
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Solution Overview
Problem
Autonomous vehicles lack the functionality to dynamically adjust vehicle importance based on contextual situations, affecting navigation efficiency.
Innovation Solution
The implementation of a rule-based system that uses smart contract rules to analyze IoT feeds from co-located vehicles, assign priority scores, and dynamically adjust vehicle priorities to optimize navigation through traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous vehicles use standard navigation protocols without priority differentiation, then system simplicity is maintained, but navigation efficiency and traffic flow are reduced
Solution Approach 1:
The patent applies parameter changes by introducing a priority score parameter that dynamically varies based on contextual factors (vehicle type, task urgency, environmental conditions). This allows the navigation system to adjust vehicle importance levels without fundamentally changing the underlying navigation protocol architecture, thereby improving navigation efficiency while maintaining reasonable system complexity
Solution Approach 2:
The system implements dynamics by making vehicle priority scores adjustable and context-dependent rather than static. The priority scores are continuously updated based on real-time sensor feeds, smart contract rule evaluations, and changing situational contexts, enabling the system to adapt to varying traffic conditions and optimize overall traffic flow dynamically
2Productivity
If priority scores are assigned to all vehicles based on smart contract rules, then traffic flow optimization is improved, but computational processing requirements increase
Solution Approach 1:
The patent applies preliminary action by pre-defining smart contract rules that establish priority scoring criteria before runtime. These rules pre-specify how different vehicle types, tasks, and contexts should be evaluated, allowing the system to quickly compute priority scores during operation without performing complex real-time analysis, thereby reducing computational energy consumption while maintaining traffic flow optimization
Solution Approach 2:
The system uses smart contracts as intermediaries between sensor data input and priority score output. The smart contracts serve as pre-programmed mediation layers that automatically evaluate contextual factors and determine priority scores without requiring complex real-time computational decisions, reducing the computational burden on vehicle systems while enabling sophisticated traffic flow management
3Productivity
If the system dynamically adjusts vehicle priorities based on contextual situations, then navigation efficiency is improved, but system adaptability requirements increase
Solution Approach 1:
The patent uses parameter changes to improve navigation efficiency while controlling adaptability requirements. By adjusting the priority score parameter based on predefined contextual factors (vehicle type, task urgency, environmental conditions) rather than requiring the system to adapt to every possible scenario, the system achieves efficient navigation with manageable adaptability requirements
Solution Approach 2:
The smart contract rules serve as a universal framework that handles multiple different contextual scenarios through a single unified mechanism. Rather than requiring separate adaptation logic for each type of situation, the universal smart contract evaluation system processes diverse inputs (emergency vehicles, delivery vehicles, passenger vehicles, environmental conditions) through the same rule-based framework, improving navigation efficiency without proportionally increasing system adaptability requirements
Data Source
AI summary
In an approach to improve the management of operating vehicles through smart contracts, embodiments generate a priority score based on received sensor feeds from a vehicle, co-located vehicles, and a smart contract rule. Further, embodiments assign the priority score to the vehicle and the co-located vehicles and the co-located vehicles and identify that the assigned priority score of the vehicle is higher than the co-located vehicles. Additionally, embodiments manage an operation of the co-located vehicles through a computing device within the co-located vehicles based on the smart contract rule and the priority score and create a priority lane for the vehicle by repositioning the co-located vehicles.