The focus of car-following models is to analyze the microscopic characteristics of traffic
flows, with particular attention given to the interaction between adjacent vehicles. This paper …

Combining trucks and drones in package delivery provides a promising venue for a future
logistics system that is more efficient and sustainable than the existing one. However, how to …

Despite the simplicity and practicality of (deterministic) fundamental diagram models in
highway traffic flow theory, the wide scattering effect observed in empirical data remains …

This study presents a novel framework and open-source tools for simulating and managing
connected and automated mobility (CAM) systems, taking into account their hierarchical …

This paper presents an integrated framework for physics-informed joint traffic state and
queue profile estimation (JSQE) on freeway corridors, utilizing heterogeneous data sources …

To estimate the accurate fundamental relationship in traffic flow, this paper proposes a novel
framework that extends classical fundamental diagram (FD) models to incorporate more …

The full-scale spatio-temporal traffic flow estimation/prediction has always been a hot spot in
transportation engineering. The low coverage rate of detectors in transport networks brings …

The urban metro system accommodates significant travel demand and alleviates traffic
congestion. Improving metro operational efficiency can increase the metro operator revenue …

Transportation has greatly benefited the cities' development in the modern civilization
process. Intelligent transportation, leveraging advanced computer algorithms, could further …

This study focuses on dynamic origin–destination demand estimation problem on freeway
networks. Existing studies on this problem rely on high-coverage of traffic measurements …