Event Server Resource Management for Mobile Object Congestion
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Solution Overview
Problem
Existing systems fail to effectively manage congestion of resources in geographic spaces, such as parking lots and tourist spots, due to the large number of automobiles sharing these resources, leading to inefficiencies and congestion.
Innovation Solution
A system comprising a mobile object server and an event server that receives information on resource utilization, predicts arrival times, and recommends alternative resources to alleviate congestion by suggesting less crowded options to mobile objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single resource is shared by a large number of automobiles, then resource utilization is maximized, but congestion increases and service quality deteriorates
Solution Approach 1:
The system segments the single resource into multiple virtual service channels or queues, allowing simultaneous service of multiple automobiles. The event server divides the resource allocation into discrete time slots or service sequences, transforming the congested single-resource problem into manageable segmented service units.
Solution Approach 2:
The system dynamically adjusts resource allocation based on real-time automobile arrival patterns and service completion rates. The event server continuously monitors and recalibrates the scheduling parameters, transforming static resource allocation into a dynamic adaptive system that responds to changing congestion conditions.
2Adaptability or versatility
If resources are allocated to multiple mobile objects, then resource sharing is improved, but congestion management becomes complex
Solution Approach 1:
The event server implements feedback loops where automobile service completion status and resource availability information are continuously monitored and fed back into the scheduling algorithm. This feedback mechanism enables automatic adjustment of resource allocation without requiring complex manual intervention, simplifying the management of multi-object resource sharing.
Solution Approach 2:
The system enables mobile objects to autonomously report their service completion status and resource usage through automated communications with the event server. This self-service approach reduces the complexity of centralized monitoring by leveraging the autonomous reporting capabilities of the mobile objects themselves.
3Measurement precision
If real-time resource monitoring is implemented, then congestion detection is improved, but system complexity and computational load increase
Solution Approach 1:
The event server acts as an intermediary between mobile objects and the central management system, consolidating monitoring functions at the event level rather than requiring direct complex interactions between all system components. This intermediary approach simplifies the overall system architecture while maintaining precise congestion detection capabilities.
Data Source
AI summary
Mobile objects and resources are managed by a system including a mobile object server operable to receive information from a plurality of mobile objects in a geographic space, and an event server in communication with the mobile object server. The event server is operable to receive, from the mobile object server, resource utilization information indicating a resource in the geographic space that each mobile object is scheduled to use, calculate a state of use of the resource based on a predicted arrival time of each mobile object at the resource, and send a recommendation for relaxing congestion of the resource.