Route Endpoint Detection Using Last Known Position
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Solution Overview
Problem
Existing location tracking systems face challenges in determining disembarkation points for users traveling in vehicles, especially when location information from user devices fails to transmit, leading to difficulties in accurately calculating route usage and charging, due to varying transmission intervals, accuracy levels, and potential loss of connectivity.
Innovation Solution
A system that determines route information based on the last known position of the user device, identifies potential disembarkation points when location information fails, and calculates charges accordingly, using a polling interval to conserve resources and accurately determine route endpoints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If location information is continuously transmitted from user device, then accuracy of tracking is improved, but power consumption and network usage increase
Solution Approach 1:
The system implements periodic location polling at configurable intervals rather than continuous transmission. The server sends polling requests at predetermined time intervals, and the user device responds with location data only when polled or when location changes significantly. This periodic approach maintains tracking accuracy while substantially reducing power consumption and network resource usage compared to continuous transmission.
2Measurement precision
If location information is transmitted at frequent intervals, then route determination accuracy is improved, but network resources and processing power are consumed
Solution Approach 1:
The system employs periodic polling with configurable intervals to balance route determination accuracy with resource conservation. Instead of continuous monitoring, the server polls user devices at predetermined intervals, reducing network traffic and processing requirements while maintaining sufficient accuracy for route tracking and disembarkation point identification.
Solution Approach 2:
The system dynamically adjusts polling intervals based on route characteristics, user preferences, and current conditions. Polling frequency can be modified to match the specific needs of different routes or situations, optimizing the balance between accuracy and resource consumption for each individual case rather than using a fixed high-frequency approach for all scenarios.
3Use of energy by moving object
If the system waits for location information from user device, then power consumption is reduced, but reliability of route tracking deteriorates when device fails to transmit
Solution Approach 1:
The system implements a feedback mechanism where the server actively polls user devices for location information and monitors response status. When a device fails to respond or transmission is lost, the server detects this through the absence of expected location data and can trigger alternative actions such as notifying the user, adjusting tracking parameters, or using last known position with appropriate flags. This feedback loop maintains reliability by detecting and responding to transmission failures while still using energy-efficient periodic polling.
4Measurement precision
If polling interval is shortened to ensure accurate disembarkation point detection, then measurement precision is improved, but resource consumption increases
Solution Approach 1:
The system dynamically adjusts polling intervals based on proximity to known disembarkation points and route characteristics. Polling frequency increases when approaching potential disembarkation locations to improve detection accuracy, while intervals are extended during transit between stops to conserve resources. This adaptive parameter adjustment optimizes the balance between detection precision and resource consumption throughout the journey.
Data Source
AI summary
In some implementations, a system may receive information that identifies a plurality of locations of a user device. The system may determine, based on the plurality of locations, that the user device is traveling along a route associated with a vehicle. The system may determine route information that indicates a plurality of disembarkation points along the route. The system may determine that reception of location information from the user device has failed, after determining that the user device is traveling along the route. The system may identify a set of disembarkation points based on determining that reception of location information from the user device has failed and based on a most recent location of the user device. The system may determine a disembarkation point, from the set of disembarkation points, to be used as an endpoint of the route.