Off-board Scheduling System for Rail Vehicle Meet Event Optimization
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Solution Overview
Problem
In transportation networks, vehicles often experience delays, leading to meet events where one vehicle must wait for another, causing the yielding vehicle to travel too fast and early to the meet point, resulting in inefficiencies and increased fuel consumption.
Innovation Solution
An off-board scheduling system that monitors vehicle movement, calculates throughput parameters, and adjusts meet events by modifying the location or time of meet events based on confidence parameters to ensure vehicles arrive at updated times, reducing unnecessary speed and fuel consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the yielding vehicle travels at maximum allowable speed to the meet event, then the vehicle arrives on time or early, but the vehicle travels unnecessarily fast and early causing increased fuel consumption and inefficiency
Solution Approach 1:
The system dynamically adjusts the speed and arrival time of the yielding vehicle based on real-time status of the passing vehicle. Instead of traveling at maximum speed, the yielding vehicle travels at a reduced speed that allows it to arrive at the meet event at the optimal time, matching the passing vehicle's actual arrival time rather than the scheduled time.
Solution Approach 2:
The scheduling system receives feedback about the actual status of vehicles (whether they are early, on time, or late) and uses this information to recalculate and communicate updated meet event times. This feedback loop enables the system to adjust vehicle speeds dynamically to eliminate unnecessary early arrivals and associated fuel consumption.
2Productivity
If the yielding vehicle waits at the meet event for the passing vehicle, then the passing vehicle can pass on time, but the yielding vehicle has already traveled to the meet event earlier than required
Solution Approach 1:
The system makes the travel speed of the yielding vehicle dynamic rather than fixed at maximum. By adjusting the speed based on real-time vehicle status, the yielding vehicle travels at an optimized speed that ensures arrival at the meet event at the correct time, eliminating the time loss associated with premature travel while maintaining network throughput.
Solution Approach 2:
The system changes the parameter of arrival time at the meet event from a fixed scheduled time to a variable time based on actual vehicle status. This parameter change allows the yielding vehicle to arrive at the optimal moment, matching the passing vehicle's actual arrival time rather than adhering to the original schedule.
3Loss of energy
If the meeting time is adjusted based on actual vehicle status, then fuel consumption is reduced, but the system complexity increases
Solution Approach 1:
The scheduling system performs preliminary calculations of updated meet event times based on predicted vehicle status before vehicles actually arrive at the meet event. This preliminary action allows the system to communicate optimal arrival times in advance, enabling vehicles to adjust their speeds proactively rather than reacting after arrival, which simplifies the real-time control requirements.
Solution Approach 2:
The scheduling system acts as an intermediary between the fixed schedule and actual vehicle conditions. It receives scheduled times, compares them with actual vehicle status, calculates optimal adjusted times, and communicates these to vehicles. This intermediary function abstracts the complexity from individual vehicle control while achieving fuel efficiency.
Data Source
AI summary
A system includes a monitoring module, a congestion module, a modification module, and a communication module. The monitoring module monitors vehicles in a transportation network. The congestion module calculates a throughput parameter that is representative of a statistical measure of adherence to a movement plan by the vehicles. The modification module determines a confidence parameter representative of a probability that changing the original meet event does not reduce the throughput parameter. The modification module modifies the original meet event to an updated meet event when the confidence parameter exceeds a predetermined threshold. The communication module transmits the updated meet event to the yielding vehicle and/or the passing vehicle, for the yielding vehicle and/or the passing vehicle to receive the updated meet event from the communication module and change a speed of the yielding vehicle or the passing rail vehicle to arrive at the updated meet event.