Vehicle Alert System Using Mobile Location Filtering
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Solution Overview
Problem
Drivers often fail to receive timely notifications about changing road conditions, leading to sudden braking or swerving, which can be hazardous due to the lack of prior avoidance notifications for dynamic and chronic road hazards.
Innovation Solution
A system and method that identify and alert vehicles approaching a geographic area affected by a traffic event by analyzing location data from multiple devices, filtering out those not expected to approach the area based on GPS data points and velocity thresholds, and transmitting alerts to relevant devices within the vicinity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If alerts are transmitted to all devices within vicinity of traffic event, then more drivers receive safety notifications, but unnecessary alerts are sent to drivers not approaching the area
Solution Approach 1:
The system performs preliminary analysis of device location data and trajectory before transmitting alerts. By calculating whether devices will approach the geographic area during a future time interval, the system pre-filters recipients to ensure alerts are sent only to relevant drivers, avoiding unnecessary notifications while maintaining high delivery reliability to those who need it.
2Measurement precision
If location data from multiple devices is analyzed to identify recipients, then alert precision is improved, but system complexity increases
Solution Approach 1:
The system segments the recipient identification process into distinct operational stages: first identifying devices within vicinity of traffic event, then filtering based on velocity thresholds, and finally determining which devices will approach the geographic area during the time interval. This segmentation simplifies the overall complexity by breaking down the complex analysis into manageable, sequential filtering steps.
3Reliability
If velocity threshold filtering is applied to identify moving vehicles, then alert relevance is improved, but processing time increases
Solution Approach 1:
The system changes the parameter threshold for velocity to efficiently filter devices. By applying a velocity threshold criterion, the system quickly identifies moving vehicles versus stationary ones, maintaining high alert relevance while minimizing processing time through efficient parameter-based filtering rather than complex analysis of all device data.
Data Source
AI summary
A method includes receiving location data related to devices transmitted during a first interval. The location data includes at least two GPS points of a first device and a single GPS point of a second device. The method includes identifying a subset of the devices that are within a vicinity of an area associated with a traffic event based on the data. The method includes determining that the first device will not approach the area during a second interval based on the two GPS points and determining that the second device will not approach the geographic area during the second interval based at least on the single GPS data point and a second location datum. The method includes filtering the first and second devices from the subset and transmitting an alert indicative of the traffic event to the subset.