Vehicle Schedule Modification System for Dynamic Congestion Resolution
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Solution Overview
Problem
Existing transportation network management systems struggle to make instantaneous decisions to reroute vehicles due to the complexity of interdependencies, often leading to worsened congestion and inaccuracy in decision-making due to static state assumptions.
Innovation Solution
A system comprising an interface module, simulation module, and resolution module that captures the current state of vehicles, simulates movement changes, and determines potential ramifications of proposed modifications to schedules, allowing for informed, dynamic adjustments to reduce congestion and improve flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the operator manually re-routes or changes vehicle movements to address congestion, then the flow of movement may be improved, but the decision-making process takes significant time and may worsen congestion
Solution Approach 1:
The system performs preliminary simulation of proposed schedule modifications before implementing them. The simulation module evaluates potential changes to vehicle schedules by modeling their impact on network flow, allowing the operator to see outcomes before committing to changes, thus avoiding time-consuming trial-and-error adjustments
Solution Approach 2:
The system creates a virtual copy of the transportation network state to perform simulations. Instead of making actual changes to the live system, the simulation module works with replicated data to evaluate potential modifications, enabling rapid assessment without affecting real vehicle movements
2Ease of operation
If the operator bases decisions on a static state of vehicles, then the decision process is simpler, but the decisions may no longer work for the current dynamic state of vehicles
Solution Approach 1:
The system transitions from static to dynamic decision-making by continuously updating the captured state of vehicles. The simulation module accepts updated state information and re-evaluates proposed modifications based on current vehicle positions and conditions, ensuring decisions remain relevant as the network evolves
Solution Approach 2:
The system incorporates feedback loops where the captured state of vehicles is continuously monitored and fed back into the simulation process. This allows the operator to see how current conditions affect proposed changes and adjust decisions accordingly, maintaining alignment between decisions and actual network state
Data Source
AI summary
A system includes an interface module, a simulation module, and a resolution module. The interface module determines a captured state of vehicles traveling in a transportation network according to associated schedules and a proposed modification to the schedules. The captured state represents locations of the vehicles in the transportation network at a selected time. The simulation module simulates movement of the vehicles according to the proposed modification to the schedules. The movement of the vehicles is simulated from the selected time of the captured state of the vehicles. The resolution module determines potential ramifications from the movement of the vehicles that is simulated. The potential ramifications are representative of a simulated change in travel of the vehicles due to the proposed modification. The resolution module is further configured to use the potential ramifications for use in determining whether to implement the proposed modification in actual travel of the vehicles.