Vehicle Communication Policy Server Channel Management
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Solution Overview
Problem
Managing communication channels effectively is challenging for senders and recipients due to difficulties in determining the optimal channel to reach a recipient and evaluating message performance across various channels.
Innovation Solution
A communication policy server receives channel availability information and recommends optimal communication channels based on recipient and message source preferences, usage history, and situational factors, such as time and workload, to improve communication efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If senders attempt to reach recipients through multiple communication channels, then the probability of successful message delivery increases, but the complexity of managing and evaluating these channels increases
Solution Approach 1:
The patent introduces a server as an intermediary that manages communication channels between senders and recipients. The server receives channel availability information from multiple channels, applies selection criteria, and recommends optimal channels to senders, thereby reducing the complexity of managing multiple channels while maintaining high delivery success rates
Solution Approach 2:
The system implements feedback mechanisms where the server collects channel availability information and message delivery outcomes, analyzes this data using selection criteria, and continuously improves channel recommendations. This feedback loop enables the system to learn from past interactions and optimize channel selection over time
2Ease of operation
If senders try to determine the optimal communication channel for each recipient, then message effectiveness improves, but the time and resources required for evaluation increase
Solution Approach 1:
The server performs preliminary actions by pre-establishing selection criteria for communication channels and proactively collecting channel availability information. When a sender wants to communicate, the server has already prepared recommended channels based on pre-defined criteria, eliminating the need for real-time evaluation and reducing time loss
Solution Approach 2:
The system enables self-service where the server automatically manages channel selection without requiring senders to manually evaluate each channel. The server independently collects channel information, applies selection criteria, and provides recommendations, freeing senders from time-consuming evaluation processes
3Productivity
If recipients are contacted across multiple communication channels, then the likelihood of receiving a response increases, but the difficulty of being responsive across different channels increases
Solution Approach 1:
The server acts as an intermediary that consolidates multiple communication channels into a single recommendation. Recipients interact with one server interface that handles multiple channels, making it easier to respond while maintaining high response rates through optimized channel selection
4Quantity of substance
If message sources send messages through various communication channels without knowing recipient preferences, then coverage of potential recipients increases, but the efficiency of message delivery decreases
Solution Approach 1:
The server applies local quality by customizing channel recommendations for each recipient based on their specific preferences and characteristics. Instead of using a uniform approach for all recipients, the system tailors channel selection to individual recipients, achieving both broad coverage and high efficiency
Data Source
AI summary
A communication policy server may receive channel availability information indicative of a plurality of communication channels detected by a communication manager of a vehicle, each of the plurality of communication channels configured to provide messages to a target recipient associated with the vehicle. The communication policy server may recommend one of the plurality of detected communication channels as optimal based on factors such as preferences of the target recipient and preferences of the message source, the timing of the messages and the content of the messages.