Dynamic Trusted Assistance Network Dispatching
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Solution Overview
Problem
Conventional roadside assistance programs often face high demand during extreme weather conditions, leading to prolonged wait times for stranded vehicle operators, increasing safety risks and health threats due to unavailability of services, especially when private entity services are not subscribed to or cannot be accessed.
Innovation Solution
A computer-implemented method and system that identifies and dispatches 'trusted assistant' candidates from a social network based on their proximity, skill set, equipment, and availability, allowing vehicle operators to receive timely assistance from trusted contacts, even when conventional services are overwhelmed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional roadside assistance programs are used, then service coverage is provided, but response time increases during high demand periods
Solution Approach 1:
The patent segments the assistance network into multiple layers: professional service providers and peer-to-peer trusted contacts. This segmentation allows the system to distribute demand across different resource types, reducing congestion on professional services during high-demand periods while maintaining service reliability through alternative peer assistance options.
Solution Approach 2:
The system enables self-service by empowering vehicle operators to request assistance from their own trusted contacts within their social networks. These trusted contacts can provide immediate assistance using their own equipment and skills, eliminating the need to wait for professional service providers and significantly reducing response time.
2Reliability
If professional service providers are dispatched, then service quality is ensured, but system complexity increases
Solution Approach 1:
The patent implements a dynamic assistance selection mechanism that adapts to real-time conditions. The system evaluates multiple factors including geographic proximity, equipment availability, skill matching, and current service provider workload to dynamically determine whether to dispatch professional providers or activate trusted contacts. This dynamic approach optimizes service quality while managing system complexity through context-aware decision-making.
Solution Approach 2:
The patent introduces a digital platform as an intermediary that manages the complexity of coordinating between vehicle operators, professional service providers, and trusted contacts. This intermediary handles matching, dispatching, tracking, and communication, thereby simplifying the overall system architecture while ensuring service quality through centralized coordination and monitoring.
3Loss of time
If trusted assistant candidates are selected from social networks, then response time decreases, but service coverage is limited
Solution Approach 1:
The patent creates a universal assistance network that integrates multiple resource types: professional service providers with comprehensive equipment and training, and trusted contacts with immediate availability and local knowledge. This multi-functional system allows the same platform to serve both immediate local needs through trusted contacts and broader service requirements through professional providers, thereby expanding overall service coverage while maintaining rapid response capabilities.
Data Source
AI summary
Aspects identify users as trusted assistant candidates in response to associations to purchases of vehicle repair items. Embodiments further select a one of the trusted assistant candidates that is linked to a vehicle operator as a social network contact and that is located closest to a vehicle location relative to remaining others of the trusted assistant candidates, in response to determining that the vehicle operator needs remote location assistance at the vehicle location; and dispatch the selected one of the trusted assistant candidates to the vehicle location to provide remote location assistance to the vehicle operator.