Vehicle Data Request Processing with Tokenized OEM Access
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Solution Overview
Problem
The increasing prevalence of network-connected vehicles has led to technological issues such as connectivity problems, privacy concerns, and access challenges related to vehicle data and control, which existing systems have not adequately addressed.
Innovation Solution
A system and method for processing vehicle requests that facilitate secure, efficient, and customizable access to vehicle data and controls by leveraging a network-connected platform with an authorization subsystem, management subsystem, and API subsystem, utilizing access tokens and adapter modules to translate requests across different vehicle and OEM platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a centralized system manages access to vehicle data from multiple third-party applications, then security and privacy are improved, but system complexity increases
Solution Approach 1:
The patent introduces a third-party platform as an intermediary between vehicle manufacturers (OEMs) and third-party applications. This platform manages authentication, authorization, and data access uniformly across multiple OEMs and applications, centralizing security functions while abstracting the complexity from individual system components.
Solution Approach 2:
The system employs universal access tokens and standardized API interfaces that work across multiple vehicle manufacturers and application types. This multi-functional approach allows a single platform to manage diverse vehicle data access scenarios, improving security scalability without proportionally increasing complexity.
2Adaptability or versatility
If the system provides customizable access control for different applications and vehicles, then adaptability is improved, but the difficulty of detecting and measuring access patterns increases
Solution Approach 1:
The access control system segments permissions into fine-grained scopes (e.g., specific vehicle parameters, time windows, rate limits) that can be independently configured for each application-vehicle pair. This segmentation enables customizable access while making monitoring easier through discrete, measurable permission assertions rather than monolithic access control.
Solution Approach 2:
The system incorporates feedback mechanisms where access token validity, usage patterns, and compliance with rate limits are continuously monitored and reported. This feedback enables both customization of access policies and measurement of actual access patterns for security auditing and optimization.
3Productivity
If the system implements rate limiting and bandwidth management, then processing efficiency is improved, but loss of information may occur when vehicles are offline or unreachable
Solution Approach 1:
The system performs preliminary actions by caching vehicle data locally when vehicles are online and reachable. This allows the system to fulfill requests from cached data when vehicles are offline, preventing information loss while maintaining processing efficiency through rate limiting during active data synchronization periods.
Solution Approach 2:
The system prepares for potential information loss by implementing rate limiting and queuing mechanisms that ensure data is captured and stored when available, then delivered when needed. This cushioning approach balances processing efficiency with data availability by preparing buffers ahead of time rather than reacting to each individual request.
Data Source
AI summary
A method and system for processing requests for vehicular data, including receiving a vehicle request for a vehicle parameter from a client system (e.g., third party application); verifying client access to the vehicle parameter; determining one or more parameter values for the requested vehicle parameter; and transmitting the one or more parameter values to the client system.