Vehicle Congestion Determination Device Using Dual Threshold Algorithms
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Solution Overview
Problem
Existing vehicle control devices for autonomous driving may not start the autonomous driving operation until the vehicle speed condition is met, leading to uncomfortable situations for drivers when entering congestion sections, as the speed condition set for starting autonomous driving is often lower than the speed condition for determining congestion, causing delays in initiating autonomous driving.
Innovation Solution
A vehicle congestion determination device and display control system that acquires and integrates multiple information sources, including vehicle speed and traffic congestion data, to accurately determine traffic congestion and communicate the readiness for autonomous driving transitions to the driver through a user-friendly interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the vehicle speed condition for starting autonomous driving is set lower to meet congestion determination criteria, then autonomous driving can be initiated earlier, but the driver experiences discomfort due to the mismatch between congestion detection and autonomous driving activation
Solution Approach 1:
The system performs preliminary notification to the driver before actually initiating autonomous driving. When congestion is detected based on the first threshold, the system notifies the driver in advance, allowing the driver to mentally prepare for the transition. This preliminary action resolves the contradiction by maintaining the lower speed threshold for early detection while eliminating driver discomfort through advance warning.
Solution Approach 2:
The system implements a feedback mechanism where the driver is notified of upcoming autonomous driving initiation. This feedback loop allows the driver to understand the system's intentions, reducing discomfort caused by sudden or unexpected autonomous driving activation. The notification serves as feedback that bridges the gap between congestion detection and autonomous driving start.
2Measurement precision
If multiple information sources and algorithms are integrated to accurately determine traffic congestion, then the accuracy of congestion detection is improved, but the system complexity increases
Solution Approach 1:
The congestion determination system is segmented into two distinct algorithms: a first algorithm using a first threshold for initial congestion detection, and a second algorithm using a second threshold for verification. This segmentation allows each algorithm to focus on specific aspects of congestion detection, improving overall accuracy while maintaining manageable complexity through modular design.
Solution Approach 2:
The system merges multiple information sources including VICS traffic congestion information, vehicle speed data, and distance to congested vehicle measurements. By combining these diverse data sources through the two algorithms, the system achieves high measurement precision for congestion determination while systematically organizing the complexity through integrated processing.
Data Source
AI summary
A vehicle congestion determination device includes: an acquisition unit configured to acquire a first information indicating an occurrence of traffic congestion based on a first threshold value and a second information indicating the occurrence of traffic congestion based on a second threshold value as an allowable condition for starting an autonomous driving operation during the traffic congestion; and a control unit configured to integrate the first information and the second information and execute a first algorithm for determining the occurrence of the traffic congestion based on the first threshold value and a second algorithm for determining the occurrence of the traffic congestion based on the second threshold value.