City Node Route Coordination for In-Transit Event Data Handover
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Solution Overview
Problem
Existing vehicle communication systems lack efficient methods for determining data to be provided to or retrieved from vehicles, optimizing routes based on data transfer times, vehicle speed, and computing node locations.
Innovation Solution
A system and method that determine data to be provided to or retrieved from vehicles, and optimize routes based on data transfer times, vehicle speed, and computing node locations, using a network of computing nodes to facilitate efficient data transfer and vehicle navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is provided to or retrieved from vehicles using existing communication systems, then data transfer can occur, but the route optimization based on data transfer times, vehicle speed, and computing node locations is inefficient
Solution Approach 1:
The system determines and pre-calculates optimal routes for vehicles based on data transfer times, vehicle speed, and computing node locations before actual data transfer occurs. This preliminary route determination ensures that vehicles are directed along paths that will minimize data transfer time, rather than reacting to transfer delays after they occur.
Solution Approach 2:
The system introduces an intermediary routing mechanism that mediates between the vehicle's current position and the computing nodes. This intermediary route optimization layer analyzes multiple factors (data transfer time, vehicle speed, node locations) to determine the optimal path, rather than allowing direct unoptimized communication between vehicles and nodes.
2Productivity
If vehicles communicate with computing nodes without optimized routing, then communication can occur, but the communication efficiency between vehicles and computing nodes is insufficient
Solution Approach 1:
The system pre-determines the complete set of data to be provided to or retrieved from vehicles along optimized routes. By calculating the optimal route in advance based on transfer times and vehicle parameters, the system ensures that all necessary data can be transferred completely before the vehicle reaches its destination or exits the communication range.
Solution Approach 2:
The system uses feedback from vehicle speed, location, and data transfer status to continuously optimize the route and data transfer plan. This feedback mechanism ensures that communication efficiency is maintained and that complete data transfer is achieved by adjusting the route based on real-time vehicle and network conditions.
3Ease of operation
If existing vehicle communication systems are used without route optimization, then basic communication functions are available, but overall vehicle operation and navigation optimization is lacking
Solution Approach 1:
The system integrates multiple functions into a unified route optimization framework that simultaneously handles data transfer routing, vehicle navigation, and communication scheduling. This multi-functional approach improves ease of operation by providing comprehensive optimization without requiring separate systems for each function.
Solution Approach 2:
The system segments the complex optimization problem into manageable components: determining data transfer requirements, calculating optimal routes based on vehicle parameters, identifying computing node locations, and coordinating data transfer timing. This segmentation makes the overall system more manageable despite the increased functionality.
Data Source
AI summary
An example operation includes one or more of determining by a primary computing node that an en route vehicle will be delayed for a time-sensitive event, coordinating by the primary computing node with a secondary computing node at an event location and the en route vehicle to provide a real-time event experience to at least one device in the en route vehicle, managing by the primary computing node the real-time event experience between the secondary computing node and the at least one device in the en route vehicle, transferring by the primary computing node the real-time event experience to the secondary computing node when a device of the at least one device is in proximity to the secondary computing node, and terminating by the secondary computing node the real-time event experience when the at least one device reaches a specific location within the event location.