VRU Message Reporting Frequency Control for Lower Network Overhead
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Solution Overview
Problem
Existing VRU communication systems face significant message overhead and presentation complexity due to frequent reporting by VRUs and vehicles, overwhelming network resources and drivers with irrelevant information.
Innovation Solution
Systems and techniques adjust reporting frequencies dynamically based on context information, filter relevant VRUs, and present only critical VRU information to reduce message overhead and presentation complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If VRUs report location information frequently, then real-time safety monitoring is improved, but network traffic volume increases and network resources are consumed
Solution Approach 1:
The system dynamically adjusts the reporting frequency based on the VRU's movement state. When the VRU is stationary, the reporting frequency is reduced to conserve network resources. When the VRU is moving, the reporting frequency is increased to maintain real-time safety monitoring. This dynamic adaptation resolves the contradiction by making the reporting frequency flexible rather than fixed.
Solution Approach 2:
The system changes the parameter of reporting frequency based on context information (movement state). By modifying this key parameter dynamically, the system optimizes the balance between safety monitoring quality and network resource consumption, allowing frequent reporting when needed and reduced reporting when unnecessary.
2Reliability
If vehicles receive comprehensive VRU information, then safety awareness is improved, but information overload increases and driver attention is consumed
Solution Approach 1:
The system extracts and transmits only the most critical VRU information (such as location, movement state, and potential collision risk) to vehicles, filtering out unnecessary details. This extraction approach maintains essential safety awareness while reducing information overload for drivers.
Solution Approach 2:
The system provides different levels of information detail based on the specific context and urgency. For VRUs posing immediate collision risk, detailed information is provided. For VRUs in less critical situations, summarized information is transmitted. This localized quality adjustment optimizes safety awareness while managing driver cognitive resources.
Data Source
AI summary
Disclosed are systems, apparatuses, processes, and computer-readable media for wireless communications. For example, a process may include receiving, at a server, a vulnerable-road-user (VRU) report from a VRU user equipment (UE), the VRU report including information associated with at least one of a location of the VRU UE, a speed of the VRU UE, or a heading of the VRU UE; determining, based on the VRU report, VRU context information associated with the VRU UE; determining, based on the VRU context information, an updated VRU-message reporting frequency for the VRU UE; and transmitting, to the UE, information indicating the updated VRU-message reporting frequency.