V2V Traffic Data Aggregation for Cost-Efficient Transmission
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Solution Overview
Problem
Conventional Intelligent Transport Systems (ITS) face high costs and latency issues in transmitting accurate, real-time traffic data due to the need for frequent and immediate data transmission from vehicles to a central server, which conflicts with the requirement for real-time accuracy and cost-effectiveness.
Innovation Solution
A novel scheme that employs adaptive random sampling, priority-based data transmission, and data aggregation using vehicle-to-vehicle communication, where vehicles decide whether to transmit data based on probability and batch data transmission to minimize costs while maintaining accuracy, utilizing geo-fencing for link identification and priority-based queuing to optimize transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequent data transmission is implemented to ensure real-time accuracy, then measurement precision is improved, but loss of energy increases due to high transmission costs
Solution Approach 1:
The patent applies partial action by implementing random sampling where only a subset of vehicles transmit data at any given time. Each vehicle decides whether to transmit based on a probability parameter, resulting in partial data collection that still achieves acceptable accuracy while significantly reducing transmission frequency and cost
Solution Approach 2:
The system dynamically adjusts the transmission probability parameter based on traffic conditions, accuracy requirements, and cost constraints. By changing this parameter, the system can optimize the balance between data accuracy and transmission cost for different scenarios
2Loss of energy
If data is transmitted in batches to minimize cost, then loss of energy is reduced, but loss of time increases due to excessive delay
Solution Approach 1:
The system dynamically adjusts the batching parameters including batch size and aggregation time based on real-time traffic conditions and latency requirements. This dynamic adaptation allows the system to optimize the trade-off between cost savings from batching and the latency introduced by waiting for batch completion
Solution Approach 2:
The patent implements periodic data aggregation where vehicles collect data over a specified time period and then transmit in batches. This periodic approach structures the transmission process to balance cost efficiency with timely information delivery
3Loss of energy
If random sampling is used to reduce transmission frequency, then loss of energy is reduced, but measurement precision deteriorates due to insufficient data collection
Solution Approach 1:
The system employs feedback mechanisms where the central server evaluates the quality and sufficiency of received data. Based on this feedback, it can adjust transmission probability parameters, request additional data from specific vehicles or regions, and optimize the sampling strategy to maintain accuracy while minimizing transmissions
Solution Approach 2:
The patent applies different transmission probabilities and data collection strategies to different geographic regions and traffic conditions. High-priority areas with critical traffic flow receive higher sampling rates, while less critical areas use lower rates, optimizing overall system accuracy while reducing total transmission cost
Data Source
AI summary
A method (and system, apparatus, and computer product) for reporting traffic data includes, in an onboard unit installed in a vehicle, generating a traffic data report packet including information identifying a location of the vehicle in a traffic network and storing the generated traffic data report packet in a transmission queue. The onboard unit stores and maintains the generated traffic data report packet in the transmission queue with other traffic data report packets in a sequence in accordance with potential transmission times associated with each traffic data report packet. At least a portion of the traffic data report packets stored in the transmission queue is selectively transmitted, as a batch transmission to a traffic center server via a communication link.