A Large-Scale Vehicle-Road Cooperative Roadside Message Existence Verification Method

As intelligent vehicles are tested on public roads, maintaining the quality of roadside broadcasted messages becomes crucial. Existing methods fall short in efficiency and data availability for large-scale maintenance. This paper proposes a verification method for large-scale roadside message data quality maintenance. It verifies message coverage and packet loss rate using a single test vehicle with an on-board unit (OBU) device. The paper introduces an automatic method based on the DBSCAN algorithm and real-time GPS data to identify different road directions’ coverage areas. It also improves the existing packet loss rate calculation method to suit large-scale roadside message inspection in real-data environments. A Monte Carlo-based method determines the packet loss rate’s upper limit under actual conditions. Experimental results show this methodology meets daily inspection requirements for large-scale roadside message data existence in terms of efficiency and data availability.