Automated Vehicle Deceleration Using Stop-Line Distance Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle guidance systems struggle to reliably and robustly integrate signaling units, such as traffic lights and signs, into automated longitudinal guidance, particularly in urban environments, affecting safety, availability, and comfort.
Innovation Solution
A vehicle guidance system that integrates signaling units into automated longitudinal guidance by using environmental sensors and map data to detect and respond to traffic lights and signs, allowing for automated deceleration or continued driving based on signal states, with user-configurable modes for manual or automatic operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated longitudinal guidance integrates signaling units using environmental sensors and map data, then safety and reliability are improved, but device complexity increases
Solution Approach 1:
The system segments the guidance functionality by separating signaling unit detection (using environmental sensors) from navigation decision-making (using map data with pre-stored stop line distances). This modular approach improves reliability through redundant information sources while managing complexity by dividing the system into independent functional modules that can be developed and validated separately.
Solution Approach 2:
The system performs preliminary action by pre-storing distance data between signaling units and stop lines in map data before the vehicle reaches intersections. This allows the control unit to quickly retrieve and process navigation information in real-time without complex calculations during critical stopping decisions, thereby improving safety response time while keeping the real-time processing complexity low.
2Measurement precision
If the system uses pre-stored distance data from map data, then manufacturing precision and measurement precision are improved, but adaptability to new road configurations worsens
Solution Approach 1:
The system employs feedback by continuously comparing the vehicle's actual position (determined via GPS/position sensors) with the pre-stored map data during runtime. When discrepancies are detected or new intersections are encountered, the system can update map data accordingly. This feedback mechanism maintains high measurement precision through verified historical data while improving adaptability to new road configurations through dynamic updates.
Solution Approach 2:
The system changes parameters by allowing map data to be dynamically updated with new distance measurements and signaling unit locations. The pre-stored distance data serves as a reliable baseline, but the system can adjust these parameters when new information is acquired through environmental sensors or user input, thereby maintaining measurement precision while adapting to new road configurations.
3Ease of operation
If the system provides both manual and automatic operation modes, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The control unit is designed with multi-functionality to handle both manual and automatic operation modes within a single integrated system. The same hardware infrastructure (sensors, processors, actuators) serves dual purposes: automatically executing deceleration commands when map data is available, and providing information for manual driver decisions when it is not. This universal design improves ease of operation by offering flexible interaction modes while avoiding the need for separate systems for each mode, thereby managing device complexity efficiently.
Data Source
AI summary
A vehicle control system provides a driving function for automated longitudinal control of a vehicle. The vehicle control system is designed to determine, on the basis of surroundings data from one or more surroundings sensors of the vehicle, positional data relating to the position of a first signaling unit, which is located in front of the vehicle in the direction of travel, in relation to the position of the vehicle. The vehicle control system is also designed to determine, on the basis of map data relating to a road network traveled on by the vehicle, distance data relating to the distance between the first signaling unit and a stop line of the first signaling unit. The vehicle control system is further designed to cause automated deceleration of the vehicle at the first signaling unit on the basis of the positional data and the distance data.