Bus Stop Time Prediction Using Disability Detection

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Solution Overview

Problem

Existing methods for informing boarding and alighting times at bus stops are either inconvenient for passengers with disabilities or elderly individuals, as they require frequent updates, leading to user annoyance, and lack precision in predicting stop times based solely on passenger numbers.

Innovation Solution

A boarding and alighting time informing method that determines the presence of passengers with disabilities at bus stops using image processing and communication systems, predicts stop times using a learning model trained on characteristics of such passengers, and selectively informs inside and outside the bus about the predicted times.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If the predicted stop time is informed every time the bus stops at a bus stop, then the user can know the approximate stop time of the bus, but the user may feel annoyed

Engineering Contradiction:
Improvestop time informationVSAvoiduser convenience
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The patent applies local quality by providing stop time information selectively based on the specific conditions at each bus stop. Instead of uniformly informing all stops, the system identifies stops where persons with disabilities are boarding or alighting and provides information only at those locations, making the information provision adapted to local needs.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent implements dynamics by making the information provision adaptive and conditional. The system dynamically determines whether to provide stop time information based on real-time detection of persons with disabilities at bus stops, changing the information provision behavior according to the situation rather than following a fixed pattern.

Inventive Principle:
Principle #15Dynamics

2Ease of operation

If the predicted stop time is not informed frequently, then user annoyance is reduced, but the user convenience when needed is diminished

Engineering Contradiction:
Improveuser convenienceVSAvoidstop time information
Core Design Contradiction:
Ease of operationVSLoss of information

Solution Approach 1:

The patent uses feedback by implementing a determination step that detects whether persons with disabilities are present at bus stops based on image processing results. This feedback mechanism allows the system to adjust information provision based on actual conditions, ensuring information is provided when needed and withheld when not required.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent applies preliminary action by predicting the stop time in advance using a learning model before the bus actually stops. This allows the system to prepare and provide accurate stop time information proactively when persons with disabilities are detected, rather than reacting after the stop has occurred.

Inventive Principle:
Principle #10Preliminary action

3Device complexity

If prediction is based solely on passenger numbers, then the prediction process is simple, but the prediction accuracy for persons with disabilities is insufficient

Engineering Contradiction:
Improveprediction process complexityVSAvoidstop time prediction accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent replaces the simple mechanical counting method with an image processing system using cameras and AI-based person detection. This substitution enables the system to identify persons with disabilities based on visual characteristics rather than just counting passengers, significantly improving prediction accuracy despite increased system complexity.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the prediction parameters from simple passenger count to detailed person attributes detected through image processing. By analyzing visual parameters such as mobility aids, walking speed, and physical characteristics, the system transforms the prediction basis to better reflect the actual time required for persons with disabilities to board or alight.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12131640B2Boarding and alighting time informing method
Publication Date: 2024.10.29 TOYOTA JIDOSHA KK
  • US12131640B2 patent drawing
  • US12131640B2 patent drawing

AI summary

A boarding and alighting time informing method includes a determination step for determining, at a stop where a bus stops, whether a person with disabilities is going to board the bus and whether a person with disabilities is going to alight from the bus, a prediction step for predicting a boarding and alighting time at the stop in either one or both of a case when it is determined that a person with disabilities is going to board the bus and a case when it is determined that a person with disabilities is going to alight from the bus, and an informing step for informing at least one of the inside and the outside of the bus about the predicted boarding and alighting time.