Shuttle Elevator Dispatch Control for Anti-Bunching Arrivals
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Solution Overview
Problem
Shuttle elevator groups experience bunching issues where elevator cars converge closely in time, leading to long wait times for passengers due to inconsistent dispatching algorithms.
Innovation Solution
Implement a method to dynamically control the spacing between elevator car arrivals at landings by considering fullness percentage, time since previous departure, and estimated time until the next arrival, using a dispatcher to optimize the dispatching process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional dispatching algorithms are used, then elevator cars are dispatched to serve passengers, but elevator cars converge closely in time causing bunching and long wait times
Solution Approach 1:
The dispatching algorithm dynamically adjusts the departure timing of elevator cars based on real-time conditions including fullness percentage, time since previous departure, and estimated time until next arrival. This dynamic control prevents fixed scheduling patterns that cause bunching, allowing the system to adaptively space elevator arrivals to minimize passenger wait times while maintaining operational efficiency
Solution Approach 2:
The system continuously monitors multiple parameters including elevator car fullness, departure timing history, and arrival predictions. This feedback loop enables the dispatcher to make informed decisions about when to dispatch each elevator car, adjusting dispatch intervals based on actual system state rather than following rigid predetermined schedules, thereby preventing bunching and reducing wait times
2Productivity
If elevator cars are dispatched frequently to reduce wait times, then passenger service improves, but elevator cars may arrive too closely together causing bunching
Solution Approach 1:
The system dynamically balances service rate and arrival spacing by continuously adjusting dispatch intervals based on real-time conditions. When demand is high, the system can increase service rate while the feedback mechanism prevents bunching by spacing arrivals appropriately. When demand is low, the system reduces service rate to maintain efficient operation without causing unnecessary arrivals
Solution Approach 2:
The dispatching algorithm changes key operational parameters including departure timing, dispatch intervals, and service frequency based on current system state. By adjusting these parameters dynamically rather than maintaining fixed values, the system optimizes both passenger service rate and arrival spacing simultaneously, preventing bunching while maintaining high productivity
Data Source
AI summary
A method of operating a shuttle elevator group including: detecting an arrival of an elevator car at a landing; determining a time since a previous elevator car departed the landing; determining a fullness percentage of the elevator car; determining an estimated time until a next elevator car arrives at the landing; and determining when the elevator car departs the landing based upon at least one of the fullness percentage of the elevator car, the time since the previous elevator car departed the landing, and the estimated time until the next elevator car arrives at the landing.


