Deceleration Lane Change Assistance Using Swarm Crossing Positions
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Solution Overview
Problem
Existing lane change assistance systems for motor vehicles fail to effectively facilitate safe and reliable changes onto deceleration strips, particularly when the lane marking is solid and the hard shoulder is adjacent, as they do not accurately determine the optimal change position based on driver input and environmental conditions.
Innovation Solution
A method and system that utilize swarm data from past lane changes to determine an optimal change position for lane changes onto deceleration strips, taking into account historical data from multiple vehicles, current vehicle speed, deceleration potential, weather conditions, and environmental factors, allowing for assisted lane changes with reduced risk of collision or unsafe maneuvers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a lane change is performed into a deceleration lane with solid lane markings and hard shoulder adjacent, then the vehicle can exit the motorway, but the maneuver becomes unsafe and impermissible according to traditional lane change assistance systems
Solution Approach 1:
The system changes the parameter of lane marking interpretation from static (solid line = no lane change) to dynamic (solid line allows lane change in deceleration lanes when specific conditions are met). This resolves the contradiction by adapting the lane change capability to specific contextual parameters rather than applying universal restrictions.
Solution Approach 2:
The lane change assistance system transitions from a static rule-based approach to a dynamic context-aware approach. The system continuously monitors vehicle speed, deceleration potential, weather conditions, and swarm data to dynamically determine whether a lane change into a deceleration lane is safe and permitted, rather than applying fixed restrictions based solely on lane marking appearance.
2Ease of operation
If traditional lane change assistance systems apply standard lane change rules to deceleration lanes, then the system is simple to operate, but it fails to recognize safe exit opportunities and reduces productivity
Solution Approach 1:
The system performs preliminary analysis of multiple factors (vehicle speed, deceleration potential, weather conditions, swarm data from other vehicles) before executing a lane change maneuver. This preliminary action enables the system to identify safe exit opportunities in advance, improving productivity without compromising ease of operation as the driver simply needs to activate the turn signal.
Solution Approach 2:
The system introduces swarm data from other vehicles as an intermediary information source to determine safe lane change positions. By analyzing the positions and behaviors of other vehicles in the swarm, the system can identify optimal lane change points even in complex deceleration lane scenarios, enhancing efficiency while maintaining simple driver interaction.
3Measurement precision
If the system determines optimal change position using swarm data from multiple vehicles, then the precision of lane change positioning is improved, but the complexity of the system increases
Solution Approach 1:
The system merges multiple data sources (vehicle speed sensors, weather sensors, swarm data from other vehicles, deceleration potential calculations) into a unified lane change decision-making process. By combining these diverse information streams and processing them through a coordinated algorithm, the system achieves high positioning accuracy without requiring each individual component to be overly complex.
Solution Approach 2:
The lane change assistance system is designed as a multi-functional platform that handles various lane change scenarios (normal lanes, deceleration lanes, different weather conditions, varying traffic densities) through a single integrated system. This universal approach improves measurement precision across diverse conditions while avoiding the need for separate specialized systems for each scenario.
4Reliability
If the system considers multiple environmental factors (weather, vehicle speed, deceleration potential) for lane change decisions, then the safety and reliability are improved, but the time required for decision-making increases
Solution Approach 1:
The system continuously monitors and pre-processes environmental factors (vehicle speed, weather conditions, deceleration potential) before a lane change is requested. This preliminary action ensures that when the driver activates the turn signal, the system can rapidly determine safety based on pre-analyzed data, improving reliability without adding significant decision-making time at the moment of maneuver execution.
Solution Approach 2:
The system implements continuous feedback loops that monitor environmental conditions and update lane change safety assessments in real-time. This feedback mechanism allows the system to maintain high reliability by constantly evaluating multiple factors while making efficient use of processing time through optimized algorithms that prioritize critical safety parameters.
Data Source
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Figure 2
AI summary
The invention relates to a method for performing an assisted lane change (13) onto a deceleration lane (11), in which, depending on a driver input on a lane (9a, 9b, 9c) of the lane (8), at least partially assistance is provided to an acceleration device (5) and the lane change (13) from the lane (9a, 9b, 9c) onto the deceleration lane (11) is performed at least partially with assistance, wherein swarm data (15) from at least one other motor vehicle, which has performed a lane change (13) onto the deceleration lane (11) at a crossing position (17), is received by means of a swarm data receiving device (14) and, depending on the received crossing position (17), a change position (18) for the lane change (13) of the motor vehicle (1) is determined and the lane change (13) is carried out substantially at the determined change position (18).Furthermore, the invention relates to a computer program product and an assistance system (2).