Platoon Navigation Using Traveling Resistance and Future Route Changes
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Solution Overview
Problem
Existing navigation technologies for autonomous traveling devices fail to optimize energy consumption by focusing solely on traveling order, neglecting other significant traveling factors.
Innovation Solution
A navigation system that optimizes platoon formation based on traveling resistance and future traveling changes, navigating each autonomous device to the optimized formation to reduce energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If autonomous traveling devices travel in a platoon formation to reduce energy consumption, then total electric energy consumption decreases, but the complexity of navigation control increases
Solution Approach 1:
The navigation system dynamically adjusts platoon formation configurations based on real-time traveling resistance data and future traveling changes. The formation is not static but adapts continuously to optimize energy consumption while managing control complexity through responsive reconfiguration rather than rigid predetermined structures
Solution Approach 2:
The system changes navigation parameters by optimizing platoon formation based on traveling resistance characteristics and predicted future traveling conditions. This involves adjusting formation parameters dynamically to balance energy efficiency gains against the complexity of managing multiple interconnected devices
2Productivity
If the navigation system optimizes platoon formation based on traveling resistance and future traveling changes, then energy efficiency improves, but the computational requirements and system complexity increase
Solution Approach 1:
The navigation system performs preliminary optimization of platoon formation by anticipating future traveling changes and traveling resistance patterns. This allows the system to pre-calculate optimal configurations, reducing the need for complex real-time computations while maintaining high energy efficiency
Solution Approach 2:
The system implements feedback mechanisms where traveling resistance data from autonomous devices is continuously collected and used to refine platoon formation optimizations. This feedback loop enables the system to learn from actual performance and improve energy efficiency progressively without linearly increasing system complexity
Data Source
AI summary
A navigation system, a navigation method, or a non-transitory computer-readable storage medium storing a navigation program optimizes a platoon formation based on a traveling resistance that occurs on at least one of the plurality of autonomous traveling devices that are caused to travel in the platoon formation, and changes in future traveling; and navigates each autonomous traveling device to the optimized platoon formation.