This paper presents a systematic classification of application scenarios and a comprehensive analysis of equivalent delay requirements-including communication, algorithm computation, encoding, decoding, and various system-induced delays-in ‘Vehicle-Road-Cloud’ (VRC) integration systems. Scenarios are categorized based on factors such as safety demands, connectivity requirements, and action mechanisms. From this classification, key functional units of these scenarios are abstracted to support further analysis of critical performance indicators for specific functions. A simulation-based approach is employed to evaluate system performance under stochastic equivalent delays, with a focus on safety-critical and delay-sensitive scenarios. Vehicle dynamics and stochastic delay models, implemented using Carsim and Matlab-Simulink, are used to analyze foundational delay requirements. To validate the simulation results, real-vehicle tests focus on a highly representative scenario selected for its critical communication delay requirements. A comparative analysis between the simulation and field test results provides insights into the delay thresholds necessary to ensure system safety in practical applications. This study offers key recommendations for equivalent delay parameters in safety-critical VRC integration scenarios, providing essential guidelines for constructing reliable communication networks within these systems.