Traffic-Node Vehicle Control via Lane-Based Signal Selection
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Solution Overview
Problem
Existing vehicle control systems struggle to efficiently and reliably detect the driving intention of a driver at a traffic node, particularly for enhancing the quality of automated longitudinal control.
Innovation Solution
A vehicle control system that utilizes map data and environmental sensors to identify the vehicle's lane, landmarks, and relevant signal generators, allowing for accurate detection of the driver's intended maneuver and operating the vehicle's longitudinal control accordingly, including automated deceleration or acceleration based on signal status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the vehicle control system considers all signal generators at a traffic node, then the system can cover all possible driving maneuvers, but the complexity of identifying the relevant signal generator increases
Solution Approach 1:
The system segments the traffic node into multiple lanes, with each lane associated with specific signal generators. By determining the vehicle's current lane, the system narrows down the relevant signal generators to only those controlling that lane, reducing the search space from all signal generators at the node to a manageable subset.
Solution Approach 2:
The system performs preliminary identification of the vehicle's lane position before selecting the relevant signal generator. This preliminary action of lane determination is executed first, using map data and sensor information, which then enables efficient selection of the appropriate signal generator without having to evaluate all signal generators at the traffic node.
2Measurement precision
If the vehicle control system uses multiple data sources (map data, landmarks, GNSS) to identify the lane, then the accuracy of lane identification improves, but the computational complexity and processing time increase
Solution Approach 1:
The system introduces map data as an intermediary layer that pre-structures the relationship between lanes, landmarks, and signal generators at traffic nodes. This intermediary map information enables the system to efficiently correlate sensor data with the physical environment, improving lane identification accuracy while managing computational complexity through pre-processing.
Solution Approach 2:
The system performs preliminary identification of the vehicle's lane position before selecting the relevant signal generator. This preliminary action of lane determination is executed first, using map data and sensor information, which then enables efficient selection of the appropriate signal generator without having to evaluate all signal generators at the traffic node.
3Reliability
If the system determines the vehicle's lane position continuously, then the detection of driving intention becomes more reliable, but the loss of processing time increases
Solution Approach 1:
The system applies partial monitoring by focusing computational resources on determining the vehicle's lane position only when approaching a traffic node, rather than continuously tracking lane position at all times. This selective application of lane determination reduces overall processing time while maintaining reliability when it matters most for automated longitudinal control decisions.
Data Source
AI summary
A vehicle control system for operating a driving function for the automated longitudinal and/or lateral control of a motor vehicle at a traffic node. The system includes sensors that provide situational data, and a control unit. The control unit identifies a lane in which the vehicle is located, in an approach road to the node, based on the situational data. The control unit determines whether at least one signal generator of a signaling unit of the node is relevant to a driving maneuver of the vehicle at the node, based on the identified lane. The control unit operates the driving function at the node based on whether at least one signal generator is relevant to the driving maneuver of the vehicle at the node.