The Institute for Intelligent Simulation and Decision-Making in Integrated Transportation is established within the first-class discipline of Transportation Engineering. The institute comprises 4 professors, 2 associate professors, and 3 junior faculty members. The team is dedicated to collaborative optimization and decision support for critical resources and operational processes across networks, corridors, and hubs in integrated transportation systems through operations research optimization, intelligent simulation, big data analytics, and large-scale models.

Research Area I: Integrated Transportation Network Optimization

Integrated transportation network optimization aims to establish a multimodal transport system featuring hard connectivity of infrastructureandsoft connectivity of operational services. By achieving precise integration of the physical network and efficient coordination of the service network, this research enhances overall transportation system effectiveness. The physical network focuses on the coordinated development of multi-layered infrastructure, while the service network emphasizes intelligent and integrated operations. Applying operations research and optimization methods, swarm intelligence theories, and combining data-driven and model-driven methodologies, this research achieves network layout optimization, resilience assessment of integrated transportation systems, and optimization of functional recovery strategies, thereby improving the overall performance of integrated transportation networks.

Research Area II: Collaborative Resource Allocation in Integrated Transportation Corridors

Collaborative resource allocation in integrated transportation corridors aims to optimize the configuration of critical corridor facilities and the scheduling of key corridor resources, thereby enhancing the service performance of integrated transportation corridors. Utilizing operations research and optimization methods, deep reinforcement learning, and integrating big data, large-scale foundation models, and Internet of Things technologies, this research addresses the optimal configuration and coordinated scheduling of navigation structures, the optimal allocation of port shoreline resources,shiptrajectory planning, and train operation scheduling optimization, achieving resource intensification as well as safe and efficient operations in integrated transportation corridors.

Research Area III: Intelligent Simulation of Integrated Transportation Hubs

Intelligent simulation and optimization of integrated transportation hubs relies on simulation-optimization platforms and intelligent optimization algorithms to achieve real-time, full-process simulation of integrated transportation hubs. Through theconstruction of simulation models for integrated transportation hub systems incorporating multi-source data fusion and multi-criteria constraints, combined with deep learning, operations research optimization methods, and Internet of Things technologies, and utilizing cloud-edge computing architectures, this research develops adigital twin platforms for integrated transportation hubs, enabling dynamic simulation and decision support for the complete operational processes and all keyelements of integrated transportation hubs.