The Vehicle-to-Infrastructure Communication Performance Co-Simulation Test Considering Variations in Data Accuracy and Information Delays

Cooperative Vehicle Infrastructure Systems (CVIS) aim to improve vehicle-based cooperation (VBC) by introducing infrastructure-based cooperation (IBC), which promotes synergies among transport participants. Quantitative analysis for individual contributions of VBC and IBC to traffic efficiency remains unclear. Existing simulation software rarely incorporates this aspect of analysis. This study proposes an Interactive Simulation Platform (ISP) for evaluating the effectiveness of Connected Autonomous Vehicles (CAVs) control algorithms in VBC and IBC, determining the explicit contributions of these cooperative modes in real traffic scenarios. The platform contains several functional modules, including a traffic subject module, a cooperative communication module, a test algorithm module, and a test scenario module. It utilizes VBC and IBC to realize the efficacy evaluation of testing algorithms. This study assessed the control algorithm’s performance using two typical modes: VBC and IBC. VBC can supply information with a shorter delay at short sight, while IBC can provide blind-fill and long-range information.