Dynamic Event Agents for Geographic Space Management
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Solution Overview
Problem
Driver assistance systems face challenges in managing large-scale geographic spaces due to increased communication loads between servers as the number of automobiles and events grows, leading to processing inefficiencies and delays, especially during events like accidents or natural disasters.
Innovation Solution
A system that divides a geographic space into regions, using dynamic event agents to monitor and manage events across regions, reducing communication load by generating agents to handle events locally and transferring information efficiently between servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If the geographic space is divided and a plurality of servers are used to process the regions, then the processing capacity is improved, but the communication load between servers increases
Solution Approach 1:
The geographic space is divided into multiple regions, each managed by a separate server subsystem. This segmentation allows distributed processing of automotive events within each region, improving overall processing capacity while maintaining manageable communication loads between subsystems through standardized interfaces.
Solution Approach 2:
Event agents are introduced as intermediary components that reside on each server subsystem and handle event detection, filtering, and initial processing locally. These agents reduce the need for direct server-to-server communication by preprocessing events and only transmitting relevant information between subsystems, thereby reducing communication load.
2Loss of time
If all processes are completed within one server, then the processing time for individual automobiles is minimized, but the system cannot handle large-scale geographic spaces
Solution Approach 1:
The system segments the geographic coverage area into multiple regions, each handled by a dedicated server subsystem. This allows the system to scale to large geographic areas while maintaining efficient local processing within each segment, preventing the processing time penalty that would result from a single centralized server handling all regions.
Solution Approach 2:
Event agents perform preliminary action by detecting and processing events locally within their region before any inter-server communication is needed. This preliminary local processing ensures that individual automotive events are handled quickly, while the distributed architecture enables scalability to large geographic areas.
3Adaptability or versatility
If the number of automobiles and events increases, then the system coverage is improved, but the communication load and processing inefficiency increase
Solution Approach 1:
The system uses segmentation to divide geographic coverage into manageable regions, allowing it to scale to large numbers of automobiles and events across extensive areas. Each server subsystem independently processes events within its region, maintaining processing efficiency even as overall system coverage expands to accommodate increasing numbers of vehicles and events.
Solution Approach 2:
Event agents implement self-service by autonomously detecting, filtering, and processing events within their local region without requiring constant communication with other servers. This self-service capability allows the system to handle increasing numbers of automobiles and events across expanded geographic areas while maintaining processing efficiency, as each subsystem independently manages its local workload.
Data Source
AI summary
An embodiment of the invention includes a system, method and computer program product for managing dynamic events. The embodiment may include managing, by a first subsystem, an event in a first region of the plurality of geographic regions using a first event agent. The embodiment may include determining whether the event is predicted to spread from the first region to a second region. The embodiment may include generating a first dynamic event agent to monitor the event as a dynamic event based on predicting the event may spread from the first region to the second region. The first dynamic event agent may receive information relating to the dynamic event, update a status of the dynamic event based on the received information, and transmit the received information. The embodiment may include generating, by a second subsystem, a second dynamic event agent for handling the dynamic event in the second region.