Intersection Deceleration Control for Driver-Expected Turning Support
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Solution Overview
Problem
Existing deceleration support systems fail to accurately match the driver's expected deceleration rate due to variations in oncoming vehicles, pedestrians, and traffic light conditions at intersections, leading to inadequate or excessive deceleration.
Innovation Solution
A driving support device with modules for intersection recognition, left/right turn prediction, and external information acquisition to set target vehicle speeds and deceleration control based on real-time information about oncoming vehicles, pedestrians, and traffic lights, adjusting deceleration rates to match driver expectations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If deceleration support is performed with a fixed deceleration target point based only on left/right turn prediction, then the deceleration control is simple to implement, but the deceleration rate does not match the driver's expected rate due to variations in oncoming vehicles, pedestrians, and traffic light conditions
Solution Approach 1:
The system performs preliminary acquisition of external information (oncoming vehicles, pedestrians, traffic light colors) before executing deceleration control. This allows the deceleration target point and rate to be predetermined based on predicted situations, ensuring the deceleration matches driver expectations while maintaining smooth control execution
Solution Approach 2:
The deceleration target point is made dynamic rather than fixed. It varies based on external conditions: closer when oncoming vehicles or pedestrians are detected, and adjusted according to traffic light color changes. This dynamic adjustment ensures the deceleration rate consistently matches driver expectations across different situations
2Adaptability or versatility
If the deceleration target point is set closer for left turns than right turns, then the system accounts for different turn scenarios, but it still cannot adapt to real-time external conditions like oncoming vehicles and pedestrians
Solution Approach 1:
The external information acquisition module serves multiple functions: detecting oncoming vehicles, detecting pedestrians, and monitoring traffic light colors. By consolidating these detection functions into a single module, the system efficiently gathers diverse external information needed for adaptive deceleration control
Solution Approach 2:
The system continuously monitors external conditions and uses this information to adjust the deceleration target point. When oncoming vehicles or pedestrians are detected, or when traffic light colors indicate earlier changes, the deceleration target point is adjusted accordingly, creating a feedback loop that ensures accurate adaptation to real-time conditions
Data Source
AI summary
To optimize deceleration support to match a rate expected by a driver, provided is a driving support device including: an intersection recognition module (100) which recognizes an intersection in front of a vehicle (VH) in a traveling direction; a left/right turn prediction module (110) which predicts whether the vehicle (VH) is to turn left or right at the intersection recognized by the intersection recognition module (100); a deceleration control module (120, 130, 140) which performs, when the left/right turn prediction module (100) predicts that the vehicle (VH) is to turn left or right, deceleration control of decelerating the vehicle (VH) to a target vehicle speed (Vt) before the vehicle (VH) reaches a target position (Pt); and an external information acquisition module (40, 60, 70, 80) which acquires information on an oncoming vehicle, information on a pedestrian, and/or information on a traffic light color. The deceleration control module (120, 130, 140) sets the target vehicle speed and/or a start timing for starting the deceleration control based on the information acquired by the external information acquisition module (40, 60, 70, 80).


