Autonomous Vehicle Schedule Control for Variable Boarding Demand
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing autonomous vehicle transportation systems struggle to flexibly adjust operation schedules in response to changing boarding demands, leading to inefficiencies in vehicle deployment and passenger service.
Innovation Solution
An operation management apparatus that includes an operation schedule provider, an introduction judgment unit, and a schedule changer, which can execute advancing, delay, or cut-in change processes to adjust departure times and vehicle line configurations based on boarding demand, ensuring efficient inter-vehicle spacing and timely vehicle introduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the operation schedule is fixed according to normal operation plans, then operational stability is maintained, but flexibility to respond to changing boarding demands deteriorates
Solution Approach 1:
The operation schedule is transformed from a static fixed plan to a dynamic adjustable system. The schedule changer dynamically modifies departure target times and vehicle deployment based on real-time boarding demands, while the operation schedule provider maintains the baseline stable schedule. This dynamic adjustment mechanism allows the system to adapt to changing conditions without completely abandoning the original stable operation plan.
Solution Approach 2:
The system changes operational parameters (departure target times, vehicle deployment timing) based on boarding demand thresholds. When boarding demand exceeds predetermined thresholds, the schedule changer adjusts the operation schedule by changing departure times and vehicle introduction timing, thereby achieving flexibility while maintaining operational reliability through controlled parameter modifications.
2Productivity
If additional vehicles are introduced to meet boarding demand, then service capacity is improved, but operational complexity increases
Solution Approach 1:
The introduction judgment unit performs preliminary assessment of boarding demands before vehicles are deployed. By judging whether additional vehicles are needed based on predetermined thresholds and current operational status, the system prepares for vehicle introduction in advance, avoiding last-minute complex coordination and reducing operational complexity while ensuring adequate service capacity.
Solution Approach 2:
The system continuously monitors boarding demands and provides feedback to the schedule changer. This feedback mechanism allows the system to adjust vehicle deployment and operation schedules based on actual demand levels, optimizing service capacity while maintaining manageable operational complexity through data-driven decision-making.
3Adaptability or versatility
If departure target times are adjusted frequently, then responsiveness to boarding demand is improved, but schedule stability deteriorates
Solution Approach 1:
The schedule changer adjusts departure target times as operational parameters based on boarding demand thresholds. Rather than frequent arbitrary changes, the system modifies parameters systematically when demand exceeds predetermined levels, improving responsiveness while maintaining schedule stability through controlled and threshold-based adjustments.
Data Source
AI summary
An operation schedule changer can execute, as a schedule change process for changing a normal operation schedule, an advancing change process, a delay change process, and a cut-in change process. The schedule changer executes one of the advancing change process, the delay change process, or the cut-in change process based on a boarding demand.