Vehicle Start Time Estimation Using Parking Data
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Solution Overview
Problem
Existing navigation systems face challenges in accurately estimating the start time of a vehicle when patterning life information is difficult or inappropriate, leading to potential inaccuracies in predicted departure times.
Innovation Solution
An information processing apparatus and system that estimates the start date and time of a vehicle by using start position, start date-and-time, parking position, and parking date-and-time information, and instructs an application server to activate an application program accordingly, addressing the 'Cold Start' issue in server-less function applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a navigation system uses life information patterning to estimate departure time, then predicted traffic information can be generated, but the estimation accuracy deteriorates when patterning is difficult or inappropriate
Solution Approach 1:
The patent introduces an intermediary estimation system that uses parking position and parking date-and-time information as mediating data points to infer vehicle start times. Instead of directly patterning life information, the system uses the parking event as an intermediate reference point to calculate estimated start times, thereby avoiding the limitations of direct life information patterning while maintaining estimation accuracy.
2Speed
If an application server activates programs immediately upon vehicle start detection, then responsiveness is improved, but energy consumption increases due to frequent activations
Solution Approach 1:
The system performs preliminary actions by estimating the vehicle start time in advance using parking information before the actual start occurs. The application server can prepare and pre-load necessary application programs based on these estimates, so that when the vehicle actually starts, the programs are already ready for immediate execution. This reduces the frequency of urgent activations and lowers energy consumption while maintaining responsiveness.
3Measurement precision
If the system collects detailed start and parking information, then estimation accuracy improves, but device complexity increases
Solution Approach 1:
The patent extracts only the essential elements needed for estimation: parking position information and parking date-and-time information. By taking out only these critical data points from the broader vehicle operation data, the system achieves accurate start time estimation without requiring a complex information collection infrastructure. This selective extraction approach maintains precision while minimizing system complexity.
Data Source
AI summary
A first server apparatus is communicably connected to each of a second server apparatus having a server-less function and a vehicle and includes an obtaining unit obtaining, from the vehicle, start position information indicating a start position of the vehicle, start date-and-time information indicating a start date and time of the vehicle, parking position information indicating a parking position of the vehicle, and parking date-and-time information indicating a parking date and time of the vehicle, an estimating unit estimating a date and time at which the vehicle is started based on the start position, the start date and time, the parking position and the parking date and time, and an instructing unit instructing the second server apparatus to activate a personal authentication program in accordance with an estimation result by the estimating unit.