Fleet Vehicle Data Sampling Using Probabilistic Transmission
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Solution Overview
Problem
Existing methods do not provide a solution for selectively transmitting data from only a portion of a transportation vehicle fleet to a back-end system, as they either reduce all data transmission or require data exchange between vehicles.
Innovation Solution
A method where transportation vehicles receive a message with information about data to be transmitted and a predetermined probability, using a random generator to determine if data should be sent to a data processing system, allowing for adjustment of the number or proportion of vehicles transmitting data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If data transmission is reduced from all vehicles in the fleet, then network load and energy consumption decrease, but data completeness and system reliability deteriorate
Solution Approach 1:
The patent applies partial action by having only a subset of vehicles transmit data based on a probability value. Instead of requiring all vehicles to transmit data, the system randomly selects a portion of vehicles to send their data sets, thereby reducing overall network load and energy consumption while still gathering sufficient data for fleet analysis and monitoring purposes
Solution Approach 2:
The system dynamically adjusts the probability parameter that determines whether a vehicle transmits its data set. By changing this probability value, the system can optimize between energy savings and data completeness based on current fleet conditions, network status, and data requirements, allowing flexible control over the trade-off between these two parameters
2Quantity of substance
If data transmission is reduced from all vehicles in the fleet, then network load and data traffic decrease, but data availability and measurement precision deteriorate
Solution Approach 1:
The patent implements partial action by having only a probabilistically selected subset of vehicles transmit their data sets to the server. This reduces the total quantity of data traffic on the network while still providing sufficient data for accurate fleet-wide measurements and analysis, as the random selection ensures diverse and representative data sampling across the fleet
Solution Approach 2:
The system uses a configurable probability parameter to control the proportion of vehicles transmitting data. By adjusting this parameter, the system can optimize data traffic volume while maintaining adequate data availability for measurement purposes, balancing network efficiency with analytical accuracy
3Device complexity
If a random selection method is used to determine data transmission, then system complexity and implementation difficulty decrease, but control precision and adaptability worsen
Solution Approach 1:
The patent employs a configurable probability parameter that allows the system to adapt to different operational conditions and data requirements. Although the selection mechanism itself is simple and random, the ability to adjust the probability value provides flexible control over data transmission rates, enabling the system to adapt to varying fleet sizes, network conditions, and analytical needs without increasing overall system complexity
Data Source
AI summary
A method for a transportation vehicle of a transportation vehicle fleet for transmitting data to a data processing system including receiving a message, wherein the message includes information about data to be transmitted and information about a predetermined probability of the data transmission; determining whether the data to be transmitted are transmitted from the transportation vehicle to the data processing system, using a random number generator and the information about the predetermined probability of the data transmission; and sending the data to be transmitted to the data processing system, in response to determining that the data to be transmitted are transmitted from the transportation vehicle to the data processing system.