Lane Recommendation Control Using Lane-Specific Congestion Data
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Solution Overview
Problem
Conventional vehicle navigation systems lack lane-specific traffic congestion and restriction information, which hinders the determination of a recommended lane for optimal driving comfort.
Innovation Solution
A vehicle system that communicates with a map server to acquire high-precision map information, including traffic state data for each lane, to determine the recommended lane by calculating congestion degrees and adjusting switching points based on traffic conditions and road structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional map information is used without lane-specific data, then the system complexity is low, but the lane recommendation accuracy is insufficient
Solution Approach 1:
The patent segments map information by lanes, dividing the road into multiple lanes with individual traffic state data. This allows the system to provide lane-specific recommendations by analyzing congestion levels, restrictions, and other parameters for each lane separately, thereby improving recommendation accuracy without overwhelming complexity through modular data organization.
Solution Approach 2:
The patent applies local quality by providing different information characteristics for different lanes. Each lane has its own traffic state information, restriction information, and congestion degree calculations. This localized approach enables the system to recommend specific lanes based on their individual conditions rather than treating all lanes uniformly, improving precision while maintaining manageable complexity.
2Ease of operation
If lane-specific traffic state information is acquired and processed, then the driving comfort is improved, but the information processing complexity increases
Solution Approach 1:
The patent performs preliminary actions by pre-calculating congestion degrees for each lane based on traffic state information and restriction information before the driver needs lane recommendations. The system prepares lane-specific data including congestion levels, switching points, and recommended routes in advance, reducing real-time processing complexity while improving driving comfort through ready-to-use recommendations.
Solution Approach 2:
The system implements self-service by automatically acquiring, processing, and analyzing lane-specific traffic information without requiring manual driver input. The controller autonomously calculates congestion degrees, determines recommended lanes, and provides switching point information, reducing the operational burden on the driver while managing information processing complexity through automated algorithms.
3Ease of operation
If the switching point is adjusted based on congestion degree, then the lane change comfort is improved, but the control complexity increases
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the switching point position based on the congestion degree of the target lane. When congestion is high, the switching point is moved further ahead to allow earlier lane changes; when congestion is low, the switching point is closer to the current position. This parameter adjustment optimizes lane change comfort by considering real-time traffic conditions while managing control complexity through a single key variable modification.
Data Source
AI summary
A vehicle system includes: a controller configured to communicate with a map server; and a vehicle position acquiring device configured to acquire own vehicle position information. The controller includes: a vehicle position determining unit configured to determine a lane in which an own vehicle is traveling based on the own vehicle position information; and a recommended lane determining unit configured to determine a recommended lane. The recommended lane determining unit is configured to set a priority of each lane based on map information, determine the lane having a highest priority as the recommended lane, calculate a congestion degree of each lane based on traffic state information and/or a statistic, and adjust a switching point of the recommended lane according to the congestion degree of the lane to be switched to the recommended lane.