Distributed MaaS Orchestration for Rural Connectivity Loss
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Solution Overview
Problem
Rural and underdeveloped areas face challenges in accessing mobility services due to limited infrastructure, intermittent connectivity, high latency, and lack of smart capabilities, leading to isolation and poor user experiences, with traditional solutions failing to enhance first/last mile MaaS services and social inclusion.
Innovation Solution
A first-to-last mile (F2LM) architecture and platform that integrates MaaS services with decentralized, container-encapsulated applications, enabling seamless orchestration and micro-payment solutions, and incorporates a user-focused reputation system to enhance user experiences and social inclusion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional connectivity infrastructure is deployed in rural and underdeveloped areas, then network coverage is improved, but infrastructure cost and complexity increase significantly
Solution Approach 1:
The patent implements a unified MaaS platform that consolidates multiple transportation services (ride-hailing, ride-pooling, ride-rental, micro-transit) into a single system. This multi-functional approach allows the infrastructure to serve diverse mobility needs while reducing overall system complexity and cost, particularly benefiting rural areas with limited resources
Solution Approach 2:
The system employs autonomous vehicles and automated orchestration that operate without requiring extensive human intervention or complex centralized control infrastructure. Vehicles self-manage routing, scheduling, and coordination through the MaaS platform, reducing the need for expensive communication infrastructure in remote areas
2Ease of operation
If centralized MaaS orchestration is implemented, then service coordination is improved, but latency and connectivity requirements increase
Solution Approach 1:
The patent segments the centralized orchestration functionality into distributed edge computing nodes deployed at strategic locations including MaaS hubs, vehicle fleets, and partner locations. This segmentation allows local decision-making and reduces dependency on continuous centralized communication, thereby reducing latency and connectivity requirements while maintaining effective service coordination
3Ease of operation
If comprehensive MaaS services are provided in rural areas, then user experience is improved, but operational cost increases
Solution Approach 1:
The patent combines multiple transportation services (ride-hailing, ride-pooling, ride-rental, micro-transit) and partners with existing local transportation providers into a unified MaaS system. This consolidation allows shared infrastructure, pooled resources, and optimized routing that reduces operational costs while providing comprehensive service coverage in rural and underdeveloped areas
Solution Approach 2:
The system implements dynamic service provisioning that deploys comprehensive MaaS services selectively based on local demand patterns, geographic conditions, and resource availability. Rather than uniformly deploying all services everywhere, the system provides appropriate levels of service coverage tailored to specific rural areas, optimizing operational efficiency
Data Source
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AI summary
Systems and techniques for mobility-as-a-service for user experience are described herein. An orchestration log may be maintained that includes current orchestration data. An orchestration backup record may be generated that includes alternate MaaS nodes on the MaaS network. It may be determined that connectivity is lost to a first orchestration container hosted by a first MaaS node. An orchestration container is generated using the orchestration log to maintain orchestration functionality. An available second MaaS node is identified from the alternate MaaS nodes. The orchestration container may be transferred to the second MaaS node.