Connected Vehicle Alert Logic for Automated Suspect Detection
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Solution Overview
Problem
Current motor vehicles lack the ability to directly connect with first responders during emergencies and transmit vehicle data, limiting their effectiveness in identifying and notifying authorities about suspected vehicles involved in criminal activities.
Innovation Solution
Equipping vehicles with wireless communication and sensing capabilities to autonomously detect and notify law enforcement of suspected vehicles through V2V and V2X data exchanges, allowing vehicles to identify and alert authorities without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicles are equipped with wireless communication and sensing capabilities for automated detection and notification, then real-time target vehicle identification and emergency notification capabilities are enhanced, but device complexity and cost increase
Solution Approach 1:
The telematics unit is designed to perform multiple functions: it serves as both a standard telematics device for routine vehicle operations and an emergency detection system for amber alerts and criminal activity notification. By making the telematics unit multi-functional, the patent avoids adding separate dedicated hardware systems, thereby enhancing emergency capabilities while limiting the increase in overall system complexity.
Solution Approach 2:
The system enables vehicles to autonomously detect amber alerts, self-identify as potential target vehicles, and automatically notify law enforcement without requiring manual intervention from drivers or passengers. This self-service capability reduces the need for complex human-machine interfaces and manual reporting procedures, simplifying the system while improving reliability.
2Loss of time
If vehicles autonomously scan and identify target vehicles without human intervention, then response time to criminal activities is reduced, but false positive rates and privacy concerns increase
Solution Approach 1:
The system incorporates feedback mechanisms where detected potential target vehicles are verified through multiple data points including license plate recognition, vehicle identification numbers, and cross-referencing with active amber alert databases. This feedback loop allows the system to confirm detections and reduce false positives before triggering emergency notifications, balancing rapid response with accuracy.
Solution Approach 2:
The system performs preliminary scanning and data collection activities continuously, maintaining readiness to detect amber alerts without requiring active engagement when no threats are present. By pre-positioning detection capabilities and maintaining passive surveillance modes, the system can rapidly respond to actual threats while minimizing unnecessary activation and false alarms.
3Measurement precision
If vehicles transmit detailed vehicle data and location information to law enforcement, then identification accuracy is improved, but data security and privacy risks increase
Solution Approach 1:
The system implements differential data transmission where only vehicles actively identified as potential targets during amber alert scenarios transmit detailed information to law enforcement. Non-target vehicles maintain privacy by transmitting minimal or no data, while target vehicles provide comprehensive identification data including precise location, license plate, and vehicle specifications. This local quality approach ensures high identification accuracy for threats while protecting the privacy and security of non-involved vehicles.
4Reliability
If the system actively scans for target vehicles using V2V communication, then target detection capability is enhanced, but energy consumption and communication overhead increase
Solution Approach 1:
The system employs periodic scanning intervals for V2V communication rather than continuous active scanning. The telematics unit scans for amber alerts and target vehicles at predetermined time intervals, adjusting the frequency based on situational context such as proximity to known crime areas or active alert severity. This periodic action maintains reliable target detection capability while significantly reducing energy consumption and communication overhead compared to continuous scanning.
Data Source
AI summary
Presented are vehicle systems and control logic for provisioning self-detection and violation-notification capabilities for connected vehicles, methods for making/using such systems, and vehicles equipped with such systems. A method of controlling operation of a host vehicle includes a resident or remote vehicle controller or network of controllers determining if a wireless communications device of the host vehicle has an active wireless connection with a remote computing node. If so, the vehicle controller(s) receive, from the remote computing node via the wireless communications device, a wireless message containing an emergency alert and culprit data indicative of a target vehicle. The vehicle controller(s) then parse the culprit data from the wireless message and analyze the parsed culprit data to determine if the host vehicle is the target vehicle. If so, the vehicle controller(s) responsively command one or more resident vehicle subsystems to automate one or more remediating actions for the emergency alert.