Vehicle Threat Detection and Evasive Control in Traffic Blockades
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Solution Overview
Problem
Existing vehicle control systems, such as those described in US 2018/0143642 A1, are not always effective in mitigating threatening situations involving surrounding vehicles, highlighting a need for additional or alternative threat mitigation approaches.
Innovation Solution
A method for controlling a vehicle that involves determining whether surrounding vehicles demonstrate threatening behavior through external sensors and interpreting the acquired information to provide threat determining metrics. If threatening behavior is detected, the vehicle performs threat evasive actions such as visual deterrent maneuvers, audial deterrent maneuvers, or taking an available escape route.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If emergency escape mode is provided for handling threatening situations, then threat mitigation capability is improved, but the system is not always sufficiently effective in all threatening scenarios
Solution Approach 1:
The system dynamically adapts its response based on real-time analysis of surrounding vehicles' behavior patterns. Multiple threat metrics are continuously evaluated and weighted according to the specific scenario, allowing the system to adjust its mitigation strategy dynamically rather than using a fixed escape mode for all situations.
Solution Approach 2:
The system changes multiple parameters simultaneously including vehicle speed, acceleration, lane position, and steering angle to execute complex evasive maneuvers. By varying these parameters in combination, the system can respond effectively to diverse threatening scenarios rather than relying on a single escape mode.
2Measurement precision
If multiple threat metrics are calculated and evaluated, then detection accuracy of threatening behavior is improved, but system complexity increases
Solution Approach 1:
The threat detection system is segmented into multiple independent metric calculation modules, each responsible for evaluating a specific aspect of surrounding vehicle behavior (speed, acceleration, positioning, temporal patterns). This modular segmentation allows accurate multi-parameter analysis while maintaining manageable system complexity through clear separation of functions.
Solution Approach 2:
A single evaluation system processes multiple threat metrics universally by applying consistent evaluation logic across different metric types. The system uses a unified threat level determination mechanism that can handle various metric combinations, reducing overall system complexity while maintaining high detection accuracy.
Data Source
AI summary
A method for controlling a vehicle includes determining whether one or more surrounding vehicles demonstrate threatening behavior, and (when it is determined that one or more surrounding vehicles demonstrate threatening behavior) controlling the vehicle to perform one or more threat evasive actions. Example threatening behavior comprises a first surrounding vehicle directly in front of the vehicle slowing down in absence of traffic related reason to slow down, possibly in combination with a second surrounding vehicle in an adjacent lane to the vehicle slowing down in association with the first surrounding vehicle.