V2X Infrastructure Control for Congestion Management
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Solution Overview
Problem
Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2X) communication networks often become congested due to multiple vehicles broadcasting data, leading to insufficient bandwidth and failure in transmitting critical information.
Innovation Solution
An infrastructure element with a computer that classifies traffic conditions using object detection sensors and broadcasts vehicle-to-vehicle communication parameters, such as channel identifiers, transmission rates, transmission powers, or message sizes, to optimize data transmission and prevent congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple vehicles broadcast data via V2V/V2X communication networks, then information sharing and traffic awareness are improved, but network congestion occurs due to insufficient bandwidth
Solution Approach 1:
The system dynamically changes communication parameters (transmission power, message size, transmission rate, channel selection) based on traffic conditions and network congestion levels. When congestion is detected, the infrastructure computer adjusts these parameters to reduce bandwidth consumption while maintaining critical information transmission, directly resolving the contradiction between information reliability and bandwidth availability
Solution Approach 2:
The communication system transitions from static parameter configuration to dynamic adaptation. The infrastructure computer continuously monitors network conditions and adjusts communication parameters in real-time, allowing the system to optimize performance under varying traffic loads and congestion conditions, balancing information transmission needs with available bandwidth
2Loss of information
If vehicles increase data broadcast frequency and message size to provide more comprehensive traffic information, then information completeness is improved, but network congestion worsens
Solution Approach 1:
The system dynamically adjusts message size and transmission frequency based on traffic conditions and congestion levels. The infrastructure computer receives congestion indicators and modifies communication parameters accordingly, reducing message size or frequency when congestion is high while maintaining information completeness when bandwidth is充足, thus resolving the contradiction between information completeness and congestion
Solution Approach 2:
The system implements selective information transmission where not all vehicles transmit all types of data at all times. Based on traffic conditions and vehicle roles, the infrastructure computer determines which vehicles should transmit which information, reducing overall network traffic while maintaining necessary information completeness for safety-critical applications
3Productivity
If the infrastructure computer adjusts communication parameters dynamically based on traffic conditions, then data transmission efficiency is improved, but system complexity increases
Solution Approach 1:
The infrastructure computer acts as an intermediary that centralizes the complexity of dynamic parameter adjustment. Rather than each vehicle independently managing complex congestion avoidance logic, the infrastructure computer receives sensor data, determines optimal parameters, and distributes them to vehicles, simplifying individual vehicle systems while achieving system-wide optimization
Solution Approach 2:
The system implements feedback loops where the infrastructure computer monitors network congestion through sensor data and vehicle reports, adjusts communication parameters accordingly, and verifies the effectiveness of adjustments. This closed-loop control enables efficient adaptation to changing conditions while maintaining manageable system complexity through structured feedback mechanisms
Data Source
AI summary
An infrastructure element includes a computer that includes a processor and a memory. The memory stores instructions executable by the processor such that the computer is programmed to classify a traffic condition of a road segment based on data received from an object detection sensor with a field of view including the road segment and that is communicatively connected to the computer. The computer is programmed to broadcast, to an area including the road segment, a vehicle-to-vehicle communication parameter, determined based on the classified traffic condition and specifying one or more of (i) a channel identifier, (ii) a transmission rate, (iii) a transmission power, or (iv) a message size.