Special Session XIII

Special Session XIII- Research on Autonomous Heterogeneous Multi-Agent Cooperative Control of Vehicle-Road-Cloud Integration

Chair:	Co-Chair:

Jixiang Wang Fuzhou University, China	Songyue Yang Beihang University, China

Session Information:
Deep integration of intelligent connected vehicles, smart road infrastructure and cloud management platforms makes vehicle-road-cloud integration a core technical route for large-scale implementation of intelligent transportation in China. The system contains heterogeneous intelligent agents including autonomous vehicles, human-driven vehicles, roadside sensing units, edge computing nodes and cloud scheduling platforms. These agents differ greatly in perception, decision-making and execution capabilities, forming interactive scenarios of heterogeneous multi-agents. Traditional single-vehicle independent control cannot guarantee traffic safety and global efficiency under complex road networks. This Special Session focuses on core issues of autonomous heterogeneous multi-agent cooperative control under vehicle-road-cloud integration architecture. It pays special attention to key research directions such as spatio-temporal perception fusion of multiple heterogeneous agents, distributed cooperative decision-making, hierarchical cooperative control of human-vehicle-road-cloud, game interaction among heterogeneous agents, edge-cloud collaborative scheduling, and safety management in complex traffic scenarios. By integrating C-V2X communication, multi-agent game theory, data-driven control and distributed optimization, this session connects information interaction and cooperative execution among vehicle, road and cloud layers to realize safe, efficient and eco-friendly operation of full-domain transportation systems. This Special Session provides an academic exchange platform for frontier theories and engineering applications in vehicle-road-cloud coordination, multi-agent control and intelligent connected vehicles. High-quality submissions on theoretical modeling, algorithm innovation, system architecture design, simulation verification and real-vehicle road tests are welcome.

Below is an incomplete list of potential topics to be covered in the Track
Hierarchical architecture design of vehicle-road-cloud integrated system Multi-source perception fusion and beyond visual range perception based on C-V2X Modeling and game interaction mechanism of autonomous heterogeneous multi-agents Distributed cooperative decision-making algorithm for human-vehicle-road-cloud Cooperative control under mixed traffic of heterogeneous intelligent vehicles Collaborative scheduling optimization of edge computing and cloud platform Conflict resolution and active safety control in vehicle-road-cloud integrated scenarios Multi-agent reinforcement learning for traffic cooperative control Co-simulation platform and real-vehicle test verification for vehicle-road-cloud integration Data interaction, privacy and security management of vehicle-road-cloud integration
Keywords:
Vehicle-Road-Cloud Integration Heterogeneous Multi-Agent Autonomous Cooperative Control Intelligent Connected Vehicles C-V2X Internet of Vehicles

Special Session XIII

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