Mobile Device Ticketing via Movement Pattern Detection
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Solution Overview
Problem
Conventional public transport ticketing systems are cumbersome, costly, and prone to errors due to complex pricing schemes and the lack of reliable check-out mechanisms, leading to forgotten payments and reduced system usage.
Innovation Solution
A mobile device-based ticketing method that automatically checks passengers in and out by generating and comparing movement pattern datasets, allowing for accurate charging without the need for physical barriers, using sensors like GPS and accelerometers to ensure compliance with transport system patterns and provide reminders for check-out.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If exit barriers and wired check-out terminals are provided, then check-out reliability is improved, but device complexity and installation cost increase
Solution Approach 1:
The patent replaces physical exit barriers and wired terminals with a mobile device-based system using sensors (GPS, accelerometer, gyroscope) to detect movement patterns. This substitutes mechanical infrastructure with software-based detection, reducing device complexity while maintaining check-out reliability through automated pattern recognition.
Solution Approach 2:
The system enables passengers to automatically check-out without manual intervention by continuously monitoring their movement patterns via mobile device sensors. The automated detection of transport system exit patterns triggers check-out processing, eliminating the need for physical barriers or terminal interactions.
2Ease of operation
If mobile device-based check-in/check-out is implemented, then ease of operation is improved, but measurement precision of travel completion deteriorates
Solution Approach 1:
The system continuously monitors sensor data from mobile devices and provides feedback by comparing actual movement patterns against predefined transport system patterns. This real-time feedback mechanism enables accurate determination of travel completion while maintaining ease of operation, as passengers simply use their mobile devices without additional actions required.
Solution Approach 2:
The patent enhances measurement precision by analyzing movement patterns across multiple dimensions simultaneously - GPS location data, accelerometer motion data, and gyroscope orientation data. This multi-dimensional approach accurately distinguishes transport system travel from other movements, resolving the precision issue while keeping the system easy to use.
3Measurement precision
If sensor data monitoring is continuously performed, then travel pattern detection accuracy is improved, but energy consumption increases
Solution Approach 1:
The system performs sensor data monitoring at periodic intervals rather than continuously, sampling movement patterns at optimized frequencies. This periodic approach maintains sufficient detection accuracy for identifying transport travel while significantly reducing energy consumption compared to continuous monitoring.
Solution Approach 2:
The system activates full sensor monitoring only when transport system travel is detected or suspected, using lighter monitoring modes otherwise. This partial action approach focuses computational resources on critical detection moments, maintaining accuracy when needed while minimizing energy consumption during normal operation.
Data Source
Figure 1
AI summary
A ticketing method for charging a passenger (2) for using a transport system implemented by a computer program comprising a client software executed by a mobile device (3) of the passenger (2) and a server software executed by a server computer (5), comprises the following steps: checking-in the passenger (2) via the mobile device (3) upon accessing a vehicle (4) of the transport system; checking-out the passenger (2) via the mobile device (3) upon exiting a vehicle (4) of the transport system; a sensor of the mobile device (3) of the passenger (2) generating a sensor data signal, wherein the sensor of the mobile device (3) comprises a location sensor; the computer program automatically calculating a travel movement pattern dataset based on sensor data associated to the sensor data signal generated by the sensor of the mobile device (3), wherein the sensor data comprises location data of the location sensor of the sensor of the mobile device (3); the computer program automatically comparing the travel movement pattern dataset to a transport system movement pattern dataset; the computer program automatically identifying a non-compliance of the travel movement pattern dataset with regard to the transport system movement pattern dataset; the computer program generating check-out data representing the checking-out of the passenger (2) by using the identified non-compliance; and the server software automatically calculating a price for a travel of the passenger (2) within the transport system by evaluating check-in data representing the checking-in of the passenger (2) and the check-out data.