Traffic Information Distribution Apparatus Selective Link Filtering
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Solution Overview
Problem
Navigation apparatuses receive unnecessary predicted traffic information that differs from current traffic conditions, leading to increased communication costs and inaccurate distribution of traffic information, especially when congestion status changes.
Innovation Solution
A traffic information distribution apparatus that generates predicted traffic information based on vehicle arrival times at each road link, extracts and distributes only the information differing from current conditions, and sets a distribution range for targeted traffic information transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If predicted traffic information is distributed to all road links, then the navigation apparatus receives complete traffic data, but the communication cost increases and unnecessary information is transmitted
Solution Approach 1:
The patent extracts only the necessary predicted traffic information that differs from current traffic conditions and distributes it to the navigation apparatus. This is achieved by comparing predicted traffic information with current traffic information and selectively transmitting only the differences, thereby reducing communication cost while maintaining accuracy.
Solution Approach 2:
The patent applies local quality by distributing traffic information selectively based on specific conditions (whether predicted information differs from current information) rather than uniformly distributing all traffic information. This targeted approach reduces unnecessary communication while ensuring accurate information delivery where needed.
2Loss of energy
If only congestion prediction traffic information is distributed to reduce communication amount, then communication cost decreases, but accurate distribution of predicted traffic information becomes difficult when congestion status changes
Solution Approach 1:
The patent changes the parameter for selecting traffic information to distribute from merely congestion prediction to any predicted traffic information that differs from current traffic conditions. This includes not only congestion but also changes in no-congestion status, ensuring comprehensive and accurate traffic information distribution while controlling communication cost.
Solution Approach 2:
The patent uses feedback by comparing predicted traffic information with current traffic information and distributing only when differences are detected. This feedback mechanism ensures that accurate traffic information is distributed while minimizing unnecessary communication, addressing both communication cost and accuracy requirements.
3Loss of information
If all predicted traffic information is distributed regardless of differences from current conditions, then complete traffic data is provided, but the amount of communication information increases unnecessarily
Solution Approach 1:
The patent extracts only the essential predicted traffic information that contains actual changes from current conditions and distributes it to the navigation apparatus. By filtering out redundant information that remains unchanged, the system maintains information completeness while significantly reducing the quantity of communicated data.
Solution Approach 2:
The patent applies partial action by distributing only the necessary portion of predicted traffic information (those with changes) rather than distributing all predicted information excessively. This selective distribution maintains the completeness of useful information while avoiding unnecessary communication overhead.
Data Source
AI summary
In a case where a CPU 11 provided in an information distribution center 3 has received a request command for requesting predicted traffic information transmitted from a navigation apparatus 2 as well as vehicle information such as a navigator identifying ID, coordinate data of a vehicle position, or coordinate data of a destination, the CPU 11 searches a basic route based on update-purpose map information 14A, and sets a distribution range serving as a transmission target of traffic information 16A, 16B, and 16C. Then, the CPU 11 generates the predicted traffic information 16C such as congestion prediction information corresponding to the distribution range, extracts the predicted traffic information 16C of each link having a difference in the generated predicted traffic information 16C and the current traffic information 16A, and distributes the extracted predicted traffic information 16C to the navigation apparatus 2 together with a link ID of a corresponding link.