Automated Longitudinal Control for Adjacent-Lane Risk Mitigation
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Solution Overview
Problem
Existing automated longitudinal control systems for motor vehicles do not adequately account for traffic situations in adjacent lanes, leading to increased accident risk and reduced driver confidence in automated driving systems.
Innovation Solution
The method involves evaluating traffic situations in both the current and adjacent lanes to ascertain potential risk scenarios, adapting automated longitudinal control by reducing relative maximum speed, and adjusting safety distances based on the traffic conditions in the adjacent lane, including passive and active movement models of vehicles and roadway models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated longitudinal control maintains relative maximum speed based only on current lane traffic, then productivity is improved, but reliability deteriorates due to increased accident risk from adjacent lane hazards
Solution Approach 1:
The system expands monitoring from the current lane (one dimension) to include adjacent lanes (additional spatial dimension). Sensors detect traffic situations in adjacent lanes, and the control system processes this multi-dimensional information to assess risks and adjust longitudinal control, thereby maintaining productivity while improving reliability through broader situational awareness.
2Reliability
If automated longitudinal control monitors adjacent lane traffic situations, then reliability is improved by reducing accident risk, but device complexity increases
Solution Approach 1:
The automated longitudinal control system is enhanced to perform multiple functions: monitoring current lane traffic (original function) and monitoring adjacent lane traffic (additional function). The same control device processes expanded sensor data from multiple lanes, assesses risks from adjacent lane vehicles, and adjusts longitudinal control accordingly, achieving improved reliability without proportionally increasing device complexity through multi-functional integration.
3Reliability
If automated longitudinal control adapts speed based on adjacent lane risks, then safety is improved, but ease of operation deteriorates due to reduced maximum speed
Solution Approach 1:
The system continuously monitors adjacent lane traffic situations and provides feedback to the longitudinal control system. When potential risks are detected (e.g., vehicles in adjacent lanes that may change lanes), the system adjusts speed accordingly and can communicate with the driver about the risk situation and control adaptations, making the safety measures transparent and improving driver acceptance of the speed reductions.
Data Source
AI summary
A method for operating a driver assistance system for automated longitudinal control of a motor vehicle in a current lane. The method includes: performing automated longitudinal control at a relative maximum speed taking into account a traffic situation in the current lane of the motor vehicle; evaluating a traffic situation in an adjacent lane to the motor vehicle; ascertaining a risk situation for the motor vehicle taking into account the traffic situation in the adjacent lane; adapting the automated longitudinal control to reduce the risk situation, the adaptation involving reducing the relative maximum speed. A device configured to carry out the method, and a corresponding computer program are also described.