Multi-Vehicle Arrival Coordination for Lower Energy Use
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Solution Overview
Problem
Existing management systems for moving objects struggle to efficiently reduce energy consumption across multiple vehicles arriving at shared destinations.
Innovation Solution
A management system that sets the latest expected arrival time among multiple moving objects as a reference time, and adjusts the travel route and speed for each object to bring its expected arrival time closer to the reference time, thereby reducing energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the travel route and speed are optimized to reduce energy consumption, then energy consumption is reduced, but the arrival time may deviate from the desired schedule
Solution Approach 1:
The system dynamically adjusts travel parameters (route, speed, departure time) based on real-time conditions and energy consumption patterns. By changing these parameters optimally, the system reduces energy consumption while maintaining acceptable arrival time windows, resolving the contradiction between energy efficiency and punctuality.
Solution Approach 2:
The management system implements dynamic control of moving objects, continuously monitoring and adjusting travel routes and speeds based on current conditions. This dynamic approach allows the system to optimize energy consumption in real-time while adapting to maintain timely arrivals, balancing both competing requirements.
2Loss of time
If multiple moving objects arrive at different times at shared destinations, then individual schedules are maintained, but overall energy consumption increases due to waiting and idle time
Solution Approach 1:
The system merges the schedules of multiple moving objects by coordinating their arrivals at shared destinations. By synchronizing arrivals within optimized time windows, the system reduces waiting time and idle energy consumption while maintaining individual schedule requirements, thus resolving the contradiction between schedule flexibility and energy efficiency.
Solution Approach 2:
The management system performs multiple functions simultaneously: it optimizes individual routes, coordinates group arrivals, manages energy consumption, and maintains schedule flexibility all through a unified control platform. This multi-functionality allows the system to balance individual and collective requirements effectively.
3Use of energy by moving object
If the management system coordinates all moving objects to arrive at the same time, then energy consumption is reduced, but the system complexity increases
Solution Approach 1:
The system segments the coordination problem into manageable components: individual route optimization, group synchronization, and energy management are handled as separate but integrated modules. This segmentation reduces system complexity while achieving coordinated arrivals and energy efficiency through modular control architecture.
Data Source
AI summary
In this management system, the latest time among the expected arrival times at which each of the plurality of moving objects is expected to reach the destination is set as the reference time. Then, for each of the one or more moving objects other than the moving object predicted to arrive at the destination at the reference time among the plurality of moving objects, the traveling route to the destination and the traveling speed are determined so that the estimated arrival time approaches the reference time and the energy consumption is reduced. Accordingly, it is possible to satisfactorily reduce energy consumption in the entire plurality of moving objects.