Platooning Vehicle Traffic Information Management via Group Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems lack detailed methods for collecting and processing traffic information specific to platooning vehicles, which differ significantly from single driving vehicles in terms of speed, weight, and reactivity, leading to inefficiencies in managing traffic data.
Innovation Solution
A system and method that classify platooning vehicles into small groups based on stops and final destinations, generating and transmitting driving information through a wireless communication network, with a traffic information management server processing and storing this data to create accurate traffic information, applying weights based on vehicle numbers for enhanced analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traffic information is collected and managed using the same method for single driving vehicles and platooning vehicles, then system complexity is reduced, but measurement precision and management accuracy deteriorate due to different traffic characteristics
Solution Approach 1:
The patent segments traffic information management into two distinct systems: one for single driving vehicles and another for platooning vehicles. Each system has dedicated collection methods, processing algorithms, and management protocols tailored to the specific characteristics of vehicle type, thereby achieving accurate management without forcing a one-size-fits-all approach that would compromise precision.
2Loss of energy
If platooning vehicles are treated as single units, then communication load is reduced, but information completeness deteriorates due to different stops and final destinations of individual vehicles
Solution Approach 1:
The patent segments the platooning vehicle group into individual vehicle units for information collection purposes. Each vehicle's traffic information, including its specific stop locations and final destinations, is collected and managed separately. This segmentation ensures that divergent routing information is preserved while still allowing for coordinated platoon management.
Solution Approach 2:
The patent implements a nested information structure where individual vehicle information is contained within the platoon-level information framework. Each vehicle's specific routing data is nested within the overall platoon traffic information, allowing hierarchical processing that maintains both individual vehicle details and group-level coordination.
3Measurement precision
If traffic information collection frequency is increased for platooning vehicles, then measurement precision improves, but use of energy increases due to constant speed and low reactivity characteristics
Solution Approach 1:
The patent implements dynamic adjustment of information collection frequency based on the operational characteristics of platooning vehicles. Given that platooning vehicles maintain constant speed and have low reactivity, the system adjusts collection intervals to be optimized for this steady-state operation, collecting information at frequencies that ensure accuracy without excessive energy consumption associated with high-frequency sampling of relatively static traffic patterns.
Data Source
AI summary
A system for managing traffic information on a platooning vehicle may include a platooning vehicle group classified into at least one or more small groups according to at least one or more stops and including at least one or more platooning vehicles configured to generate second driving information and to transmit the second driving information to the outside through the wireless communication network in preset time units, and a traffic information management server configured to receive the first or second driving information transmitted from the single driving vehicles or the platooning vehicle group and to manage the second driving information to generate and store traffic information on a platooning vehicle which is classified according to one or more stops, in the form of a database.