Cooperative Driving Automation (CDA) stands at the forefront of the evolving landscape of
vehicle automation, elevating driving capabilities within intricate real-world environments …

Isolated actuated signalized intersection is a pressing challenge for conventional eco-
approach methods, due to the ever-changing signal timing strategy. This research proposes …

Reinforcement learning (RL) has demonstrated its advantages in the intelligent control of
many vehicle systems. However, controlling the exploration-to-exploitation (E2E) ratio of RL …

This paper presents a generic analytical framework tailored for surrogate safety measures
(SSMs) that is versatile across various highway geometries, capable of encompassing …

This paper presents a spatially formulated cooperative dynamic mandatory connected
automated vehicle (CAV) lane-changing and car-following approach on curved highways …

In the foreseeable future, the coexistence of Connected and Automated Vehicles (CAVs)
and Human-Driven Vehicles (HVs) will continue to be a feature of the traffic landscape for an …

Truck platooning is a promising technology in freight transport. To commercialize truck
platooning as early as possible, its evaluation is in urgent need. For truck platooning …

Traffic congestion results from the spatio-temporal imbalance of demand and supply. With
the advances in connected technologies, incentive mechanisms for collaborative routing …

Longitudinal-only platooning methods are facing great challenges on running mobility, since
they may be impeded by slow-moving vehicles from time to time. To address this issue, this …

Achieving safe lane changing is a crucial function of autonomous vehicles, with the
complexity and uncertainty of interaction involved. Learning-based approaches and vehicle …