A growing trend of introducing new metaheuristic algorithms and their improvements is
observed with almost the same inherited weaknesses. The main reason is that a few studies …

The development of safety-oriented research and applications requires fine-grain vehicle
trajectories that not only have high accuracy, but also capture substantial safety-critical …

The aim of this paper is to synthesize and analyze existing evidence on autonomous vehicle
driving algorithms and smart mobility technologies in big data-driven transportation planning …

As Unmanned Aircraft Systems (UAS) technology matures, and the demand for UAS
commercial operations is gradually increasing, a widespread proliferation of UAS operations …

View Video Presentation: https://doi. org/10.2514/6.2021-2325. vid With the gradual diffusion
of commercial Unmanned Aircraft Systems (UAS) operations, UAS transportation and Urban …

The use of data and deep learning algorithms in transportation research have become
increasingly popular in recent years. Many studies rely on real-world data. Collecting …

As an important part of smart city, intelligent transportation is an critical breakthrough to
solve urban traffic congestion, build an integrated transportation system, realize the …

Decision‐making is an important component of autonomous driving perception, decision‐
making, planning, and control pipeline, which undertakes the task of how the ego vehicle …

In addressing challenges associated with behavioural decision-making in intelligent driving,
a hybrid algorithm, merging fuzzy classification with neural networks (termed the FC-NN …

Behavioral decision-making is a key technology for autonomous driving and determines the
safety and stability of the vehicle largely. Current behavioral decision-making solutions, both …