Fleet Operation Planning to Avoid Vehicle Stand-By Point Contention
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Solution Overview
Problem
Existing on-demand vehicle operation systems do not adequately address the issue of operation efficiency due to insufficient management of stand-by points, leading to potential contention and increased energy consumption, particularly in high-cost areas like urban regions.
Innovation Solution
A server system that generates and manages operation plans for multiple movable bodies, including automated vehicles, to avoid contention by modifying stand-by points, travel conditions, or paths, and selecting energy-efficient plans, ensuring effective use of limited stand-by points and reducing energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple movable bodies are assigned to stand by at the same stand-by point to maximize resource utilization, then the quantity of operation resources is reduced, but contention occurs between movable bodies standing by at identical timing
Solution Approach 1:
The server determines whether contention will occur before instructing movable bodies to operate according to the operation plan. By performing this determination in advance, the system can proactively modify operation plans to avoid contention, ensuring reliable execution without needing excessive stand-by points.
Solution Approach 2:
The system continuously monitors the operation plans of multiple movable bodies and provides feedback when contention is detected or predicted. This feedback mechanism allows the server to adjust stand-by timing and positioning dynamically, maintaining operational reliability while minimizing the number of stand-by points required.
2Reliability
If stand-by points are increased to avoid contention between movable bodies, then operation reliability is improved, but operation efficiency deteriorates due to increased resource consumption and cost
Solution Approach 1:
The server modifies operation plans by adjusting parameters such as stand-by timing and stand-by point selection. By changing these parameters dynamically based on contention determination, the system maintains reliability without permanently increasing the number of stand-by points, thus preserving operation efficiency.
Solution Approach 2:
The system dynamically adjusts operation plans based on real-time conditions and predicted contention. Rather than statically increasing stand-by points, the system flexibly manages the timing and positioning of movable bodies, achieving reliability through adaptive coordination rather than resource multiplication.
3Ease of operation
If movable bodies return to initial point after completing tasks, then resource management is simplified, but time and energy are wasted due to inefficient routing
Solution Approach 1:
The server determines and designates optimal stand-by points in advance, before movable bodies complete their tasks. By pre-planning the post-task positioning, the system avoids inefficient returns to initial points and reduces time loss while maintaining manageable resource coordination.
4Adaptability or versatility
If stand-by points are concentrated in high land price areas to serve urban demand, then service coverage is improved, but operation efficiency deteriorates due to increased resource cost
Solution Approach 1:
The system merges the operations of multiple movable bodies to share common stand-by points. By coordinating multiple vehicles to use the same stand-by locations and timing, the system maintains comprehensive service coverage without proportionally increasing the number of stand-by points in high-cost areas, thus preserving operation efficiency.
Data Source
AI summary
A server that manages a plurality of movable bodies generates an operation plan of each of the plurality of movable bodies and instructs each of the plurality of movable bodies to operate in accordance with the generated operation plan. The server is configured to perform determining, before it instructs each of the plurality of movable bodies to operate, whether or not contention will occur, the contention referring to a plurality of movable bodies standing by at a same stand-by point at the same timing if the server instructs each of the plurality of movable bodies to operate in accordance with the operation plan, and modifying the operation plan of at least one of a plurality of contending movable bodies to avoid the contention when it determines that the contention will occur.