Adaptive VRU Location Reporting for Collision Avoidance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The frequent transmission of positioning measurements by Vulnerable Road Users (VRUs) using Global Navigation Satellite Systems (GNSS) drains battery life and congests communication networks, as these measurements are often required to be transmitted frequently to predict potential collision risks with vehicles.
Innovation Solution
Implementing a mechanism to adjust the reporting granularity of VRU positioning data, activating a higher reporting frequency only when the VRU enters a dangerous area, such as roads or intersections, to reduce unnecessary battery consumption and network load, while maintaining accurate collision avoidance capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If frequent positioning measurements are transmitted by VRU devices, then collision avoidance accuracy is improved, but battery consumption increases and network congestion worsens
Solution Approach 1:
The system dynamically adjusts the reporting frequency of positioning measurements based on the VRU's proximity to dangerous areas. When a VRU is in a safe area, reporting frequency is reduced to conserve battery. When the VRU enters a dangerous area (e.g., near vehicle trajectories), the reporting frequency automatically increases to provide accurate collision avoidance data. This dynamic adaptation resolves the contradiction between maintaining high reliability and reducing energy consumption.
Solution Approach 2:
The system applies different reporting granularities to different spatial locations. In dangerous areas where collision risk exists, high-resolution positioning data is transmitted frequently. In safe areas away from vehicle paths, lower-resolution data is transmitted less frequently. This local differentiation allows the system to maintain collision avoidance accuracy where needed while reducing battery consumption in safe zones.
2Reliability
If frequent positioning measurements are transmitted by VRU devices, then collision avoidance accuracy is improved, but network congestion increases
Solution Approach 1:
The network dynamically configures the reporting frequency based on real-time conditions. When a VRU is detected to be in a dangerous area, the network requests frequent high-precision positioning reports. When the VRU is in a safe area, the network reduces the reporting frequency. This dynamic network control maintains collision avoidance reliability while optimizing network resource utilization by avoiding unnecessary transmissions during safe periods.
Solution Approach 2:
The system implements location-dependent reporting policies. In dangerous areas with high traffic density or near vehicle trajectories, the network requires frequent detailed positioning reports. In safe areas, the network accepts less frequent, lower-resolution reports. This local quality approach ensures network resources are concentrated where collision risk exists, maintaining reliability while improving overall network productivity.
3Measurement precision
If high reporting granularity is maintained continuously, then location accuracy is improved, but battery consumption increases
Solution Approach 1:
The GNSS receiver dynamically adjusts its measurement and reporting granularity based on the VRU's current location relative to dangerous areas. When in a dangerous area, the system uses high reporting granularity with frequent measurements to ensure accurate location tracking for collision avoidance. When in a safe area, the system switches to low reporting granularity with infrequent measurements to conserve battery. This dynamic switching resolves the contradiction between measurement precision and energy consumption.
Solution Approach 2:
The system changes the operational parameters of the GNSS receiver based on location context. In dangerous areas, parameters such as measurement frequency, position update rate, and reporting interval are set to high-precision values. In safe areas, these parameters are reduced to low-power settings. This parameter adaptation allows the system to maintain high location accuracy when necessary while minimizing battery consumption during safe periods.
Data Source
AI summary
Systems, methods, devices, and computer program products are provided. Operations thereof include sending, by a first system and to a user equipment, an activation notification that activates a dangerous area and causes the user equipment to increase a reporting granularity corresponding to a location of the user equipment. The dangerous area corresponds to an area that includes a vehicle operating therein. The reporting granularity is increased relative to a first reporting granularity. Operations include receiving, from the user equipment, location reporting data that is provided at the increased granularity and sending, to a second system, a first notification that corresponds to determining that the Vulnerable Road User (VRU) will be in the dangerous area.