Elevator Scheduling Using Geo-Routine Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current elevator scheduling systems do not effectively utilize user geo-routines to predict future traffic and optimize scheduling, leading to longer wait times despite sophisticated algorithms, as they do not account for users' trajectories and anchor points.
Innovation Solution
A method and apparatus that determine and record users' geo-routines based on location, altitude, and trajectory, using mobile devices to optimize elevator scheduling by anticipating users' arrival times and destination access points, thereby synchronizing elevator arrivals with user needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional elevator scheduling algorithms are used, then the system operates with sophisticated control, but user waiting times remain long because geo-routines and trajectories are not utilized
Solution Approach 1:
The system performs preliminary actions by determining and recording users' geo-routines in advance, analyzing their trajectories and anchor points before actual elevator usage. This allows the scheduling system to predict future traffic patterns and prepare elevator assignments proactively, reducing waiting times through anticipatory scheduling decisions
2Productivity
If elevator scheduling optimizes for current requests only, then immediate responsiveness is achieved, but service efficiency decreases due to lack of predictive capability
Solution Approach 1:
The scheduling system performs self-service by automatically determining, recording, and analyzing users' geo-routines without requiring manual input. The system autonomously tracks trajectories, identifies anchor points, and generates predictive scheduling assignments, eliminating the need for complex manual configuration while improving service efficiency through data-driven decision-making
Data Source
AI summary
In accordance with exemplary embodiments there is determining geo-routines of a user, the geo-routines based on at least one of a location and an altitude and a trajectory of the user, recording the determined geo-routines of user of the system; and based on a current trajectory of a user indicating that the user is going to use a transportation system, optimizing a use of the system according to the recorded geo-routines of the user of the system. In addition, sending information including a location and/or an altitude of a user, and a trajectory of the user, the information associated with a current geo-routine of the user, and receiving information to optimize the use of a transportation system, the receiving based on a current trajectory indicating that the user is going to use the transportation system and on the current geo-routine and/or historical geo-routines of a user of the transportation system.