Autonomous Vehicle Fleet Control for Mixed-Traffic Efficiency
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Solution Overview
Problem
Current autonomous vehicle systems operate individually, leading to suboptimal driving efficiency, safety, and fuel consumption, especially in mixed fleets with conventional vehicles, and lack a comprehensive solution to enhance traffic flow and prioritize vulnerable road users.
Innovation Solution
A system that uses 3D measurement, identification, and aggregation of vehicle and object data with a road map to generate instructions for autonomous vehicles to improve total driving efficiency, including fuel consumption, safety, and traffic flow, by considering the collective movement and position of all vehicles within an area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If autonomous vehicles operate individually to optimize their own efficiency, then individual vehicle fuel consumption decreases, but total driving efficiency of the fleet remains suboptimal
Solution Approach 1:
The patent merges individual vehicle control systems into a centralized fleet management system that coordinates multiple autonomous vehicles. The central server aggregates data from all vehicles and generates coordinated instructions that optimize the entire fleet's performance rather than individual vehicle performance, directly resolving the contradiction between individual and collective efficiency.
Solution Approach 2:
The system implements a universal control architecture that can manage diverse vehicle types (autonomous and conventional) and various traffic scenarios through a single centralized platform. This multi-functional system handles routing, speed control, and coordination for the entire fleet, enabling total driving efficiency optimization across different vehicle categories.
2Speed
If autonomous vehicles make individual traffic decisions, then each vehicle can respond quickly to its environment, but traffic flow optimization and safety for the entire area are compromised
Solution Approach 1:
The patent introduces a central server as an intermediary between individual vehicles and the overall traffic system. This mediator aggregates real-time data from all vehicles, performs centralized optimization calculations, and distributes coordinated instructions back to individual vehicles. This preserves individual vehicle responsiveness while ensuring collective safety and traffic flow optimization.
3Adaptability or versatility
If conventional vehicles are mixed with autonomous vehicles, then traffic diversity is maintained, but overall driving efficiency and safety performance deteriorates
Solution Approach 1:
The system implements a universal control architecture that can manage diverse vehicle types (autonomous and conventional) and various traffic scenarios through a single centralized platform. This multi-functional system handles routing, speed control, and coordination for the entire fleet, enabling total driving efficiency optimization across different vehicle categories.
Data Source
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AI summary
A system and method for guiding at least one autonomous vehicle (1a) within an area, the system comprising: 3D-measuring means (4a) configured to detect the at least one autonomous vehicle (1a) and at least one object (3a) within the area, identifying means configured to obtain an identity of the at least one autonomous vehicle, aggregating means configured to aggregate information of the position and movement of the at least one autonomous vehicle, processing means configured to generate a set of instructions for the at least one autonomous vehicle, based on a total driving efficiency for said at least one autonomous vehicle (1a) and at least one additional vehicle (2a) and transmitting means configured to transmit the set of instructions for guiding the at least one autonomous vehicle.