Dynamic Route Control for Event Congestion
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Solution Overview
Problem
In areas where events are held, congestion levels fluctuate, making it challenging to optimize bus routes in real-time to manage passenger transportation effectively between locations.
Innovation Solution
A control device and method that acquire and analyze congestion data from multiple locations to dynamically determine and adjust transportation routes for mobility vehicles, such as autonomous vehicles, to optimize passenger flow based on current and predicted congestion levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed bus route is used in an area where an event is held, then the route planning is simple, but the route cannot adapt to changing congestion levels and event dynamics
Solution Approach 1:
The bus route is transformed from a fixed static plan to a dynamic adaptive route that changes in real-time based on congestion levels and event dynamics. The control unit continuously adjusts the route according to acquired congestion information, allowing the system to respond to changing conditions while maintaining manageable complexity through automated control.
Solution Approach 2:
The system implements a feedback mechanism where congestion information is continuously acquired from multiple locations, processed by the control unit, and used to adjust the bus route. This closed-loop feedback enables the route to adapt to changing congestion levels and event dynamics automatically.
2Productivity
If real-time route adjustment is implemented to respond to congestion changes, then passenger flow optimization is improved, but the control and information processing complexity increases
Solution Approach 1:
The control unit autonomously processes congestion information and determines optimal route adjustments without requiring external manual intervention. The system self-regulates by automatically acquiring congestion data, analyzing it, and implementing route changes to optimize passenger flow, thereby improving efficiency while containing complexity within the automated control unit.
Solution Approach 2:
The system acquires and processes congestion information in advance and adjusts routes proactively before congestion problems worsen. By continuously monitoring and preparing route adjustments based on predicted congestion patterns, the system optimizes passenger flow efficiently while managing control complexity through preemptive automated decision-making.
3Reliability
If the bus route is adjusted frequently to match changing congestion levels, then the route optimality is improved, but the operational stability and predictability decrease
Solution Approach 1:
The route transitions from a static fixed plan to a dynamic adaptive structure that balances optimality and stability. The control unit adjusts the route dynamically based on congestion levels while maintaining a structured approach to changes, ensuring that the route remains stable enough for operational predictability while adapting sufficiently to maintain optimality under changing conditions.
Data Source
AI summary
The control device includes a control unit configured to obtain information regarding a congestion level of at least two locations in which an event is held, and determine a transport route in which mobility moving between the at least two locations transports passengers based on the obtained information regarding the congestion level.