Mobility Stop Place Detection Using NFC Grouped Location Data
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Solution Overview
Problem
Conventional GPS-based location measurement techniques struggle to accurately determine the stop place of mobilities, especially in areas with poor radio wave conditions, and existing solutions require costly equipment installations or battery management.
Innovation Solution
An information processing method that utilizes near field communication to classify multiple mobilities into groups based on shared identification information, calculates medians and moving averages of their locations, and specifies the stop place using stop probabilities and thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS-based location measurement is used to determine stop places, then location information can be obtained, but measurement accuracy deteriorates in poor radio wave conditions
Solution Approach 1:
The patent combines location information from multiple mobilities (vehicles) to determine a common stop place. By merging data from multiple GPS receivers and cross-referencing their locations, the system achieves accurate stop place identification even when individual GPS measurements are degraded by poor radio wave conditions.
Solution Approach 2:
The patent introduces an intermediary processing step where a server collects location information from multiple mobilities, identifies common stop places, and determines whether mobilities have stopped. This intermediary system mediates between the unreliable individual GPS measurements and the final stop place determination, improving overall accuracy.
2Measurement precision
If beacon devices are installed near stop places to improve location specification accuracy, then stop place identification improves, but device complexity and installation cost increase
Solution Approach 1:
The patent enables mobilities to self-determine stop places by utilizing location information from other nearby mobilities. Instead of requiring external beacon devices, each mobility contributes its own location data and uses data from others, creating a self-sufficient system that eliminates the need for additional infrastructure.
Solution Approach 2:
The patent makes existing GPS receivers in mobilities serve dual purposes: not only for navigation but also for determining stop places by cross-referencing with other mobilities' location data. This multi-functionality eliminates the need for separate beacon devices or specialized equipment.
3Productivity
If multiple mobilities are monitored individually for stop detection, then location tracking is simple, but processing load increases
Solution Approach 1:
The patent merges the monitoring of multiple mobilities into a unified process. By collecting location information from multiple mobilities simultaneously and processing them together to identify common stop places, the system reduces overall processing load compared to individually analyzing each mobility's stop status.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate determination of the stop place for multiple mobilities even in poor radio wave conditions, reducing processing load and eliminating the need for costly equipment installations.
Implementation Method 1
The mobility includes a GPS receiver that measures a current location by receiving a GPS signal transmitted from a GPS satellite
Implementation Method 2
When a vehicle enters the waiting place, a communication terminal moving together with the vehicle receives the signal from the beacon device
Data Source
AI summary
A server device acquires location information indicating a location of a mobility, identification information on another mobility, the identification information being received from the other mobility by near field communication, and stop information indicating whether the mobility stops, from multiple mobilities; classifies two or more mobilities into a same mobility group, the two or more mobilities stopping and mutually receiving the identification information among the multiple mobilities; and specifies a stop place where the mobility group stops based on the location information on the two or more mobilities classified into the mobility group.