PAIR Seminar: Prof. QU Xiaobo of Tsinghua University delivers “Future Transport: Autonomy, Verticalization and Cloud Control”

Abstract

As global urbanization rapidly advances, the management of traffic congestion in large cities has become an urgent challenge. However, urban transportation infrastructure (such as roads, buses, subways, etc.) lacks capacity elasticity and is unable to rapidly adapt to the dynamic fluctuations in travel demand, leading to phenomena such as congestion during peak hours and underutilization during off-peak hours. The intelligent connected vehicle-road-cloud system presents a potential solution to the supply-demand imbalance in transportation systems. Through the deep integration and collaboration among intelligent vehicles, road infrastructure, and cloud platforms, the system can effectively enhance the capacity elasticity, thereby optimizing traffic flow and mitigating congestion. As a typical application scenario of the vehicle-road-cloud system, the demand-responsive micro-transit provides a flexible travel service that bridges the gap between regular buses and ride-hailing cars through intelligent scheduling algorithms. Flying cars represent the ultimate solution to traffic system problems, capable of detaching from the reliance on infrastructure.

Online registration will be closed 24 hours prior to the event.