Vehicle D2D Communication via 5G for Safety
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Solution Overview
Problem
Current vehicle communication technologies do not effectively facilitate direct communication between vehicles to enhance driving safety and comfort by sharing driving patterns, leading to potential accidents and inefficient traffic management.
Innovation Solution
A vehicle system that includes sensors to collect driving information, a controller to analyze and generate output signals for recommended driving methods based on detected patterns, and a communicator to transmit these signals directly to adjacent vehicles using 5G communication protocols, enabling real-time data exchange and improved driving practices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If D2D communication technology is applied to vehicles, then real-time mass data communication between vehicles is enabled, but direct communication infrastructure and protocols must be established
Solution Approach 1:
The patent introduces a base station as an intermediary component that facilitates D2D communication between vehicles. The base station coordinates resource allocation, manages communication protocols, and enables direct vehicle-to-vehicle data exchange without requiring complex peer-to-peer infrastructure at each vehicle end.
2Reliability
If driving information is collected and analyzed to generate recommended driving methods, then driving safety is improved, but data processing time and computational resources increase
Solution Approach 1:
The controller pre-processes and analyzes driving information in real-time as data is collected, generating recommended driving methods proactively before critical situations arise. This preliminary action reduces latency by having recommendations ready when needed, rather than processing all data after an event occurs.
Solution Approach 2:
The system implements continuous feedback loops where driving information is collected, analyzed, and used to generate recommendations that are transmitted to adjacent vehicles. The system continuously monitors the effectiveness of these recommendations and adjusts future recommendations based on actual driving outcomes and changing conditions.
3Reliability
If output signals with recommended driving methods are transmitted to adjacent vehicles, then accident risk is reduced, but communication bandwidth and energy consumption increase
Solution Approach 1:
The system transmits recommended driving methods selectively to specific adjacent vehicles based on their relative positions, driving patterns, and risk levels. Instead of broadcasting to all vehicles uniformly, the communication is targeted locally to those vehicles that actually need the information, reducing overall bandwidth and energy consumption.
Solution Approach 2:
The system dynamically adjusts communication parameters such as transmission frequency, data volume, and signal intensity based on driving conditions, vehicle density, and urgency of recommendations. During normal conditions, communication occurs at lower intensity, while during critical situations, the system increases transmission frequency and detail, optimizing energy usage across different operational states.
Data Source
AI summary
A vehicle includes a sensor configured to obtain driving information of a driver; a controller configured to confirm a driving pattern of the driver based on the obtained driving information, and generate an output signal which outputs a recommended driving method corresponding to the confirmed driving pattern; and a communicator configured to directly transmit the generated output signal to adjacent vehicles.